Win FREE Girl Geek X Dinner Tickets for a YEAR!

Win FREE Girl Geek X Dinner Tickets for a Full YEAR!
women in tech - diverse group of women sitting in the audience, clapping and laughing during a tech talk at the Aurora Girl Geek Dinner in the San Francisco Bay Area, July 2019.

What’s better than a free Girl Geek Dinner? A whole year of free Girl Geek Dinners! And that’s exactly what’s in store for FIVE lucky girl geeks next month!

We’re super excited to announce that we’re giving away an entire YEAR of totally FREE Girl Geek Dinner passes in our August contest — which we’re launching a couple days early since so many girl geeks are on vacation next month!

The first prize (2 tickets to every dinner for a year, so you can always bring a plus one!) will go to the entrant who has referred the most friends to enter the contest & sign up for the Girl Geek X weekly newsletter during the contest period, which ends on August 30, 2019 at 11:59pm PST.

The next 4 winners (of 1 ticket to every dinner for a year) will be selected at random.

To improve your odds of winning, you can earn extra entries for every person you refer, or for sharing the contest with your Bay Area friends & colleagues via the widget below!

Women in Tech networking at the Aurora Girl Geek Dinner

Girl Geek Dinners are hosted throughout the Bay Area year-round, and winners will have the opportunity to attend as many as they want — you can come to just handful, or you can make a bunch of new besties and attend them all!

Good luck, and we hope to see you at a dinner soon!

Win Free Girl Geek X Dinner Tickets for a YEAR!

16 Female Infosec & Cybersecurity Executives To Watch

Get inspired by these privacy and information security experts who are leading Fortune 100 companies, running health and non-profits, and impacting the field of infosec today.

Dr. Alissa Abdullah, Chief InfoSec Officer, Xerox

Dr. Alissa Abdullah is Xerox’s Chief Information Security Officer. Prior to Xerox, she was Chief Information Security Officer at Stryker. She served as Deputy Chief Information Officer for the White House Executive Office of the President during the Obama administration. She started her career as a Mathematician for an Intelligence Agency —  a certified cryptologic engineer at the U.S. Department of Defense.

Anne Marie Zettlemoyer, Vice President of Security Engineering, Mastercard

Anne Marie Zettlemoyer is Mastercard’s Vice President of Security Engineering. She was Director of Information Security Architecture and Engineering at Freddie Mac, and Director of Information Security Analytics at Capital One. She has worked in various positions, as a Director of Business Analytics at FireEye, Senior Consultant at Deloitte, Special Advisor for the United States Secret Service, and Principal Strategy Analyst for DTE Energy. Follow her on Twitter at @solvingcyber.

Arlin Pedrick, Chief Security Officer, Accenture

Arlin Pedrick is Accenture’s Chief Security Officer. She was at Disney as Director of Global Intelligence & Threat Analysis, and Director of Global Security at Walmart, and held various positions in the U.S. Government for 32 years.

Coleen Coolidge, Chief InfoSec Officer, Segment

Coleen Coolidge is Segment’s Chief Information Security Officer, having built the Security, GRC and IT org from scratch at the startup. Previously, she was Twilio’s Head of Security and Core Logic’s Director of InfoSec. Earlier in her career, she was at First American Title as an Infosec Project Coordinator, at New Century Financial as an InfoSec Specialist/Engineer, and was a Tech Writer in her early career. Follow her on Twitter at @coleencoolidge.

Flora Garcia, Global Chief Privacy Officer & Security Attorney, McAfee

Flora Garcia is McAfee’s Global Chief Privacy Officer, Privacy & Security Attorney. She discovered privacy law in law school when she read the case of Bodil Lindqvist, a Swedish woman who was the first person charged with violating the EU Privacy Directive. Flora is a graduate of the evening program at Fordham Law School,and Duke University, where she majored in computer science and economics. 

Jacki Monson, Chief InfoSec Officer, Sutter Health

Jacki Monson is Sutter Health’s Chief Privacy and Information Security Officer, where she’s been for six years at the nonprofit health network. Previously, she was the Mayo Clinic’s Chief Privacy Officer, and worked in compliance for healthcare companies. She began her career having earned her JD in health law and healthcare compliance certificates. Healthcare runs in her family — her mom worked at a hospital for 43 years in administration. Follow her on Twitter at @jackimonson.

Lakshmi Hanspal, Global Chief InfoSec Officer, Box

Lakshmi Hanspal is Box’s Global Chief Information Security Officer. She advises Colbalt.io, CipherCloud and HMG Strategy. Prior to Box, she was SAP Ariba’s Chief Security Officer, and a senior leader in information security and risk management at PayPal. She was Bank of America’s Chief Information Security Strategist and Leader for the mortgage line of business, and began her career at Novell as a Senior Security Architect. Follow her on Twitter at @LakshmiHanspal.

Maria Shaw, Chief InfoSec Officer, Varian Medical

Maria Shaw is Varian Medical System’s Chief Information Security Officer. Prior to Varian, Maria worked at McKesson, where she was a Vice President of IT Risk Management & Compliance for over a decade. She led the information security and risk professionals across McKesson’s distributed business units, as well as the enterprise IT risk program (HIPPA, PCI, training, IT Vendor Assurance). She began her career as a Senior Manager at Deloitte.

Mary Prabha Ng, Chief Security Officer, AXA

Mary Prabha Ng is AXA Equitable’s Chief Security Officer. She’s been at AXA for over 7 years. Previously, Mary worked as Vice President of Risk at financial firms and banks. She started her career in security as a computer engineer for the Department of Defense’s Undersea Warfare Center where she led several multi-million dollar government projects through various states of project development.

Mary Welsh, Chief Security Officer, UnitedHealth

Mary Welsh is UnitedHealth Group’s Chief Security Officer. Prior to UnitedHealth, she worked at St. Jude Medical in Minnesota for over 8 years, leading security and strategic projects. Prior to that, Mary spent 9 years working for the U.S. government, from domestic assignments in Washington, D.C., to residing overseas in Europe and Southeast Asia on national security issues. She began her career at Arthritis Foundation working as Director of Health Education.

Noopur Davis, Chief Product & InfoSec Officer, Comcast

Noopur Davis is Comcast’s Chief Product & Information Security Officer. She was Vice President of Global Quality at Intel for over 4 years. Prior to Intel, she spent 11 years at Carnegie Mellon University supporting the Software Engineering Process Management program. She worked at Davis Systems as Principal for over 6 years, and began her career at Intergraph as a Director of Engineering. Follow her on Twitter at @NoopurDavis.

Parisa Tabirz, Senior Director of Engineering — Chrome (Security & Privacy), Google

Parisa Tabirz is Google’s Senior Engineering Director, responsible for the security and privacy of the Chrome browser. At Google, Parisa’s business card has read “Security Princess”, and she’s been promoted several times since joining the company over 12 years ago. She began her career as a security intern at Google after being inspired to pursue infosec from a campus club at University of Illinois at Urbana-Champagne. Follow her on Twitter at @laparisa.

Reeny Sondhi, Chief Security Officer, Autodesk

Reeny Sondhi is Autodesk’s Chief Security Officer. Prior to Autodesk, she spent a decade at EMC, where she co-authored SAFEcode Security Engineering Training — A Framework for Corporate Training Programs on the Principles of Secure Software Development. Prior to that, she spent a decade working in product management before moving into information security where she has been for the past 13+ years now building enterprise scale security programs. Follow her on Twitter at @reenysondhi.

Sherri Davidoff, Chief Executive Officer, LMG Security

Sherri Davidoff is LMG Security’s CEO and co-founder. Her infosec consulting and research firm, based in Montana, specializes in network penetration testing, digital forensics, social engineering testing and web application assessments. Sherri is the co-author of Network Forensics: Tracking Hackers through Cyberspace and is working on another book (coming soon). She studied computer science and electrical engineering at MIT. Follow her on Twitter at @sherridavidoff.

Tarah Wheeler, CyberSecurity Policy Fellow, New America

Tarah Wheeler is New America’s Cybersecurity Policy Fellow, where she is leading a international cybersecurity capacity building project. Tarah speaks frequently on cybersecurity, Internet of things, and diversity in tech, having been the lead author of Women in Tech: Take Your Career to the Next Level with Practical Advice and Inspiring Stories. She has been advising / consulting on enterprise infosec thru Red Queen Technologies for over 17 years. Follow her on Twitter at @tarah.

Window Snyder, Chief Security Officer, Square

Window Snyder is Square’s Chief Security Officer. She is a security industry veteran and former Chief Security Officer at Intel, Fastly, and Mozilla. She previously spent 5 years at Apple working on security and privacy strategy and features for OS X and iOS. Window was a founding team member at Matasano, a security company, acquired by NCC Group in 2012, and co-authored Threat Modeling, a manual for security architecture analysis. Follow her on Twitter at @window.

Raising Up The Next Generation of Women In Security Engineering

Girl Scouts offer 9 cybersecurity badges for girls learn about the inner workings of computer technology and cybersecurity, applying concepts of safety and protection to the technology used. Sponsored by Palo Alto Networks, the cybersecurity badges activities range from decrypting and encrypting messages, to learning proper protection methods for devices, to exploring real-world hacking scenarios every day.

Women in Security and Privacy is a 501(c)3 group creating pathways for folks to get into the field. OWASP has a lot of in depth knowledge and the “Top 10 list”, suggests Salesforce Senior Application Security Engineer Aisling Dempsey.

Conferences include The Diana Initiative (August 9-10, 2019 in Las Vegas).

Books to read include The Web Application Hacker’s Handbook and The Tangled Web – Add a copy of each in your library, or as a coffee table book!

What are some resources we can add to this page for folks who want to get into cybersecurity as a career? Please tweet @GirlGeekX and share – thank you!


“Enterprise to Computer (a Star Trek Chatbot)”: Grishma Jena with IBM (Video + Transcript)

Speakers:
Grishma Jena / Cognitive Software Engineer / IBM
Sukrutha Bhadouria / CTO & Co-Founder / Girl Geek X

Transcript:

Sukrutha Bhadouria: Hi everyone, I hope you’ve been having a great day so far. Hi, Grishma. Hi, so yes, we are ready for our next talk. I’m Sukrutha and Grishma is here to give the next talk. Just before we get started, the same set of housekeeping rules. First is, we’re recording. We’re gonna share in a week. Please post your questions, not in chat, but in the Q and A. So you see the Q and A button at the bottom? Click on that and post there. If for some reason we run out of time, and we can’t get to your questions, we’ll have a record of it and it’s easy for us to find later and get you your answers later.

Sukrutha Bhadouria: So please share on social media #GGXelevate and look for job postings on our website at girlgeek.io/opportunities. We’ve also been having, throughout the day, viewing parties at various companies. So shout-out to Zendesk, Strava, Guidewire, Climate, Grand Rounds, Netflix, Change.org, Blue Shield, Grio, and Salesforce Portland office.

Sukrutha Bhadouria: So now, on to Grishma. Grishma is a cognitive software engineer at IBM. She works on the data science for marketing team at IBM Watson. So today her talk is about Enterprise to Computer: a Star Trek chatbot. I’m sure there’s a lot of Star Trek fans out there because I know I am one, and I can’t wait to hear about your talk, Grishma.

Grishma Jena: Thank you, Sukrutha.

Sukrutha Bhadouria: Go ahead and get started. You can share your slides.

Grishma Jena: Okay, I’m gonna minimize this. Alright, can you see my slides? Okay. Hi, everyone, I’m Grishma. As Sukrutha mentioned I work as a cognitive software engineer with IBM in San Francisco. So, a lot of my job duties involve dealing with a lot of data, trying to come up with proprietary data science or AI solutions for our Enterprise customers. My background is in machine learning and natural language processing which is why I’m talking on a chatbot today.

Grishma Jena: I’ve also recently joined this non-profit called For Her, where we’re trying deal with creating a chatbot that could act as a health center, as a resource center for people who are going through things like domestic abuse or sexual violence so I’m very interested to see you know, a totally different social application of chatbot. But for today we’ll focus on something fun. And before I begin, a very happy Women’s Day to all of you out there. So, yeah.

Grishma Jena: When was the last time you interacted with a chatbot? It could have been a few minutes before, when, you know, Akilah was talking and your Alexa probably got activated by mistake and you had to be like, “Alexa, stop.” It could be with Siri. We interact with Siri every day. It could be on a customer service chat or it could be on a customer service call.

Grishma Jena: Basically, there are so many different avenues and applications of chatbots today that sometimes it’s even hard to distinguish if are we talking to a human. Is it a chatbot in disguise of a human? And it’s quite interesting to see where chatbots have come in the past few years.

Grishma Jena: So, this was a grad school project that we did. Our idea was, okay, chatbots are amazing. We really like that they help take some of the workload off humans, but how can we make them seem a little more human, a little less mechanical? Could we give them some sort of a fun personality?

Grishma Jena: And we brainstormed for a bit and we finally came up with the idea, hey, why don’t we, I mean … Well, to be honest we weren’t that big fans of Star Trek, but we did become one during the course of this project and we were like, “Okay, let’s think of Star Trek”. It has a wide fan base and let’s try to not pick one single character from Star Trek but let’s take all of the characters and make this huge mix of references and trademark dialogues and see what kind of personality the chatbot would have.

Grishma Jena: So, like I mentioned, the motivation was to make a chatbot a little more human-like. And we wanted to have a more engaging user experience. So the application of this could be, it doesn’t have to be something related to, you know, like an entertainment industry. It could be also something like a sports lover bot so that would be very chatty and extroverted and it would support your favorite sports team. Or it could be something a little more sober like a counselor bot who is very understanding and supportive and listens to you venting out or asks you about how your day was. So yeah, we chose Star Trek infused personality.

Grishma Jena: So our objective with Star Trek was wanted it to incorporate references from the show. [inaudible 00:05:17] wanted to [inaudible 00:05:20] Spock and live long and prosper. We wanted it to be data driven model, we did not want to feed in dialogues we wanted it to just feed in a corpus and have it generate dialogues on its own. We obviously wanted it to give interesting responses and to have the user engaged because that is one of the things that a chatbot should do, right? So in really simple words, just think of a friend of yours or it could be yourself who is this, you know, absolutely big fan of Star Trek and just transfer that personality to a chatbot.

Grishma Jena: So this is what the schema of our bot look like. We had the user utterance which is basically anything that you say or that you provide as input to the chatbot. And then we had a binary classifier. I’ll delve deeper into why exactly we wanted it, but the main point is that we wanted it to be able to distinguish whether what you’re saying to the chatbot is it something related to Star Trek or is it something a little more general conversation like, “How are you feeling today?” Or “What is the weather like?” And depending on that we had on that we had two different routes which the bot would take to generate a response.

Grishma Jena: So before we begin, we obviously need some sort of data and we decided that we would take all of the data that was available for the different Star Trek movies and the TV series. You’d be surprised at how little data is available, actually. We initially thought of just doing a Spock bot, but Spock himself has very limited dialogues so we just expanded our search to the entire Star Trek universe. And that’s why we took dialogues from movies, TV series. We didn’t want to have any sort of limitations as far as the data was concerned. We ended up with about a little over 100,000 pairs of dialogues.

Grishma Jena: Then we also went and got this database, which is known as the Cornell Movie Database. This database was created by Cornell University, which has a collection of raw movie scripts. It’s just a really good data set to train your bot on, the way how humans interact and what kind of topics they talk about, what are the responses like.

Grishma Jena: And finally, we also had a Twitter data set because we wanted some topics that were related to the ongoing affairs in the world, the current news topics. Because we envisioned that if you had a chatbot then people do like to talk to the chatbot or ask for the chatbot’s opinion on something that’s happening in real time.

Grishma Jena: So the very first component of a chatbot was having a binary classifier. Like I mentioned, we had two different routes for our chatbot. One would be the Star Trek route and the other would be a general conversation route. So we had the binary classifier that would help us distinguish whether whatever the user is uttering or whatever the user is giving as an input is it related to Star Trek or is it general conversation which was getting handled by the Cornell Movie Database. So we used an 80:20, that is the training data set and the testing data set split. And the features that we used were we took the top 10,000 TF-IDF unigrams and bigrams.

Grishma Jena: TF-IDF stands for tone frequency and inwards document frequency. Tone frequency is nothing but how many times a given word occurs in your corpus and inverse document frequency,, it’s kind of a weight that is attached to a word. So think of a textbook or think of a document that you have. Words like prepositions, like the, of, and would occur multiple times. But really words that would be important that would have some sort of conceptual representation, perhaps like the topic of it. Compared to it would be a little rare in occurrence, compared to prepositions, compared to commonly used words, and that’s why they should be given more weightage. So that’s the whole idea behind TF-IDF.

Grishma Jena: Unigrams and bigrams are nothing but you divide the entire document that you have into words. An unigram would be one [bit kilo word inaudible 00:09:17] bigram would be a set of two consecutive words that occur in the document. There’s an example later on in the slide to explain it better. Stop words, when consider stop words are just filler words like I mentioned similar to the prepositions. And we were very happy with the performance of the binary classifier. We were able to get a 95% accuracy on the test set, and we decided that is good enough, let’s move on to the next one.

Grishma Jena: And finally, this is the main core of it, where deep learning comes into play. So with deep learning, we used a model called a Seq2seq which is a particular type of recurrent neural network. So if you can see the image on the right, it is a simplified version of a neural network where you give it an input and it gets an output and that output is also the input for the next cycle, so it’s kind of like a feedback looping mechanism.

Grishma Jena: First, the specific type of neural network that we use, Seq2seq. It was just two recurrent neural networks so just think of a really big component that has two smaller components, which is an encoder and a decoder.

Grishma Jena: So the encoder actually takes in the input from the user and tries to provide some sort of context. What do the words mean? What exactly is the semantics behind the sentence that the user has given? And the decoder generates the output based on the context that it has understood and also based on the previous inputs that were given to it, which is where the feedback mechanism comes into play.

Grishma Jena: So just to go a little deeper into it. This is a representation of what a Seq2seq with encoder and decoder would look like. So the input over here would be, “Are you free tomorrow?” and the encoder takes in that input and tries to understand what exactly is the context or the meaning of this sentence. And finally the decoders understands, okay, this is something someone is asking about either they want to take an appointment or someone’s availability or someone’s schedule. And that’s where the reply is something like, “Yes, I am. What’s up?”

Grishma Jena: So these are some statistics about how exactly we went on training this on AWS. We used a p2.xlarge instance with one Nvidia Accelerator GPU and then we had the Star Trek Seq2seq. So we had one Seq2seq for just Star Trek dialogues and we had another one, the Cornell Seq2seq which is on Cornell data, which is more for just a general conversation purpose.

Grishma Jena: So we went ahead, we generated some sentences, but then we realized that the ones for Star Trek were really good because you’re giving it Star Trek as input so obviously the output is also going to be Star-trekky. But for the general conversation ones, for things like, “What is the weather like?”, “How are you doing today?”, “What is the time?” it was a little difficult for us because obviously the input is not Star Trek related, right? So the output also wouldn’t be Star Trek related, but we wanted this to be a Star Trek chatbot.

Grishma Jena: So we brainstormed a bit and we thought, “Hey, why don’t we try something called a style shifting?” Which is basically like you take a normal sentence, a sentence from the general conversation, and you try to shift it into the Star Trek domain.

Grishma Jena: And the way we did this was, we went through the entire corpus, the data set for Star Trek, and we created a word graph out of it. A word graph would be, just think of it as you pass different sentences in the data set and each of the words would form a node and the edges between them would tell how they occurred in relation to one another. So if they occurred right next to each other or within the same sentence.

Grishma Jena: And along with the words in the node we also had a part of speech tag. So we indicated whether it was an adjective, or a noun, or a pronoun or a conjunction. So let’s say for example our sentence was, “Live long and prosper.” You break it down into four words which are the four different nodes and then we label them with a different part of speech tag and we connected them because they come one after the other in the sentence.

Grishma Jena: So what we did, was after we built out this really huge word graph, we looked it up to insert what could be appropriate words between two given words in the input. So once we had the sentence we would check for every two words in the sentence and see what are the words that we could insert in between to give it more of a Star Trek feel to it to just, you know, shift the domain into Star Trek.

Grishma Jena: We went ahead and we did that and these were the kind of results that we got. “I am sorry” was the input and then the word graph went ahead and inputted “Miranda” at the end. “I will go” and then it inputted “back” at the end of the sentence because “go” and “back” kind of occur very commonly with each other. And similarly for the start of the sentences, it tried to input names like “Uhura” or “Captain”. So one thing we noticed was it really good at inputting names at the start and the end of the sentence and using the character names from the show did end up giving it a slightly more Star Trek feel than before.

Grishma Jena: So we went ahead and we just randomly tried to insert words that occurred more frequently between two words but then we realized that some of the sentences were ungrammatical. So what do we do? We came up with this idea of let us use the word graph as it is and then let’s take some sort of a filter to our responses. So, like I said, we realized that the word graph was giving a few incoherent and incorrect responses. What we did was we went ahead and constructed an n-gram model.

Grishma Jena: So n over here would be unigram, bigram, trigram. You can see the example over here if n is equal to one, which is an unigram, you break down the sentence into just different words so “this” would be one unigram “is” would be another unigram. If n is two, which a bigram, you would take two words that co-occur together. So in this case the first bigram would be “This is,” second one would be “is a” and then similar for trigram it would be “This is a” and then “is a sentence”.

Grishma Jena: So we created an n-gram model which was just to understand what exactly is the kind of dataset that Star Trek has. And then finally we wanted to get a probability distribution over the sequence of words that we have had.

Grishma Jena: So once we get this, we start to filter the responses and we ran the sentences using the bigram models that we trained on the Star Trek data set. Because of this we kind of got a reference type for seeing that what structures are grammatically correct. We went ahead and we get them and the ones that were a little odd sounding or that didn’t really occur anywhere in the data set we went ahead and removed them.

Grishma Jena: Another metric that we used for this was perplexity. So just think of perplexity as some sort of an explainability metric. We went ahead and used that which would help us tell how well a probability distribution was able to predict it.

Grishma Jena: Finally, we have all of the things in place and we have to evaluate the performance of the chatbot. So we came up with two categories of evaluation metrics. The first one was quantitative metrics where we used perplexity, which was mentioned on the first slide. And the second one was we wanted to see often was it using words that were very particular to Star Trek that you don’t really use in normal day life, you know, like maybe spaceship or engage.

Grishma Jena: And the second category was human evaluations where we got a bunch of, user group and we asked them to just read the input and the output and see how good it was in terms of grammar. If the response actually made sense, if it was appropriate. And finally, on the Star Trek style. Just how Star-trekky did it sound?

Grishma Jena: And, we also came across another bot online which is called as a Fake Spock Pandora Bot which was contrary to the way we had. Our bot was data driven this was rule based so it was actually given an input of human generated responses.

Grishma Jena: We wanted to see how good would a data driven model perform as compared to a human generated one. So this is just what the Fake Spock Pandora Bot looked like. And these were the kind of responses that the Pandora Bot gave. If you said, “I’m hungry, Captain” it said, “What will you be eating?” So it’s giving really good appropriate responses because humans were the back end for this.

Grishma Jena: And then, what we did was we went ahead and evaluated the results. And we saw that our bot was performing better for Star Trek style and it also was a little more coherent. For grammar, Pandora Bot was much better and that’s not surprising because humans were the ones who actually wrote it out. For perplexity, the Star Trek perplexity started dialogues were 65, so that was our baseline number and we figured out that the kind of responses our bot was generating that are 60, 60.9 was a little closer compared to Pandora was like, way far off at 45.

Grishma Jena: So we were pretty happy with our performance. I’m just gonna give you a few examples of what the different bots generated. So the yellow ones are the Pandora Bot and the blue ones are the E2Cbot. So let’s see, if the user says, “Beam me up, Scotty” the yellow one, that is the Fake Pandora Bot, gives, “I don’t have a teleportation device” which is a good answer. And the blue one is, “Aye, Sir” which is also a good answer. A little curt, but nothing wrong with it.

Grishma Jena: In the second example if you see our bot answered, “Bones, I like you.” So the “Bones” part is actually come from the word graph which gives it a little more of a Star Trek feel. And the last one over here is the Fake Bot, the human generated one, just says, “I am just an AI chatting on the internet” which is kind of not the response that you are looking for.

Grishma Jena: A few more examples over here. The user says, “My name is Alex” and then the Fake Spock Bot says, “Yes, I know Christine.” I just told you my name was Alex, why would you call me Christine? But our bot says, “What do you want me to do, Doctor?”, which is a better response. And, yeah, these are the kind of responses.

Grishma Jena: I think some of our human focus group people said that they might be correct, appropriate responses, but they might not be factually correct, which was a challenge for us, as well as for the Fake Spock Bot. We didn’t really delve deeper into it because that would kind of dive more into having a question answering system and trying to check if it’s factually correct or not but we tried to make our focus group users understand that it’s just a bot at the end of the day.

Grishma Jena: So finally, we were able to generate Star Trek style text. We were very happy with that, we were able to use the data driven approach which meant we could automate it. And we did figure that it performed better than the human generated responses that Pandora Bot would give, at least on style and at least on the appropriateness. It still needs a little bit of improvement in grammar but we were pretty happy with it.

Grishma Jena: So that’s me. Live long and prosper. And feel free to reach out to me on Linkedin or on Twitter if you have any questions about this. Thank you.

Sukrutha Bhadouria: Thank you, Grishma. This was great. So just to close I just wanted to mention to everybody that you actually sent your speaker submission to us and that’s how we got connected. So thank you for doing that. We got a lot of comments from people who are Star Trek fans, but yeah, what inspired you to build this project?

Grishma Jena: Yes, so this was actually a grad school project. We were taking a deep learning course so all of us had to build a chatbot as an Alexa skill. We brainstormed a lot, and we actually thought that Spock because Star Trek has a really huge fan base so Spock would be a good idea to do. But Spock had very little dialogue in all of the movies and the television series and then we were like, “You know what, let’s not stick to just one character, let’s have the entire Star Trek universe.” And, the bonus was that during my semester, I could continuously binge watch Star Trek and say that, “Yeah, I’m doing research because I want to see how well my chatbot works,” but I was just binge watching to be honest.

Sukrutha Bhadouria: Nice. That’s awesome. Well, thank you so much, Grishma, for your time. We really appreciate it and for your enthusiasm in signing up through our speaker submissions.

Grishma Jena: Thank you so much, Sukrutha.

6 Ways You Can Be A Stronger Leader and Make Better Hires

Nupur Srivastava, VP of Product at Grand Rounds

Long before she ever started obsessing over product features and worrying about design deadlines, Nupur Srivastava spent her days — and evenings, weekends and holidays — obsessing over her jump shot and running drills in her hometown of Qurain. Her hard work and dedication to the sport took her all the way to the Kuwait National Basketball team, where she played from 1999-2002 and learned the value of teamwork and how fun it is to win!

After earning her Electrical Engineering degree from the University of Michigan, Nupur began her tech career as a Wireless Hardware Design Engineer at Cisco. She then pursued an MBA from Stanford and transitioned into product management, finding her passion in the health tech space. Over the past eight years, she managed teams ranging in size from 5 to as many as 50 people. Driven by her upbringing and desire to help people, she launched Impactreview (acquired by MaterNova), a community for reviews of maternal and child health products for the developing world.

Today, Nupur is the Chief Operating Officer at Included Health in San Francisco, where she leads the company’s product management and design teams. As Nupur explains, “the company is on a mission to raise the standard of healthcare for everyone, everywhere. The team goes above and beyond to connect and guide people to the highest quality healthcare available for themselves and their loved ones. By leveraging the power of data and technology, we create products and services that make it easy for everyone to get the best possible healthcare experience.

When the Girl Geek X team sat down with Nupur during our ELEVATE 2019 virtual event on International Women’s Day, we wanted to pick her brain and hear her biggest mistakes and learnings as a health tech product leader and people manager. She shared some great advice:

1. Hire slow and fire fast.

Nupur confessed that she made a lot of classic hiring mistakes with her first hire. She was at a small startup, strapped for resources (we’ve all been there!), and there was a lot of work to be done. Feeling stressed for help, she hired very quickly without thinking through the long-term impact.

“Basically, I hired the first person who I thought could do the job from a technical standpoint,” she shared, “…but one thing that I didn’t focus on was whether there was strong alignment with the company’s values and where we were  growing. Unfortunately, a year later, I had to let this person go because it was a mismatch. I really wish I had spent time understanding upfront whether they were a good fit for what the company needed at the time.”

The classic saying that you need to “hire slowly and fire quickly” rings true here.


2. Ask the right questions.

“A lot comes down to the types of questions you ask in the interview process as well as what you get from the references.” Finding the right fit is less about technical proficiency, and more about who they are as a person, why they have made the decisions they have in the past, and what they are optimizing for in their upcoming role.

You want to ask questions about how they’ve made decisions in their career to date, what drives them, what motivates them. What wakes them up in the morning? When they’re put in a difficult situation, what value system is driving their decision-making?

Nupur stresses that what you’re looking for in a team member will be different for different stages of the company, and for each company’s unique values and mission.

It’s important to tailor your approach to your individual situation, because the perfect hire on paper might actually be a perfect hire for a different environment, but a poor hire once your own values and needs are considered.

3. Hire for impact: seek out people who are hungry, humble and smart.

Many of Nupur’s favorite hiring and interviewing strategies came from a book that CTO Wade Chambers recommended, called Ideal Team Player. “It focuses on this notion of hiring people that are hungry, humble, and smart, and that concept has really resonated with me.”

“We want to raise the standard of care for everyone everywhere, so we need to make sure that people are hungry for that impact,” she explained.

“The humble component is self-explanatory. People that are low ego and prioritize the company above self are great to have on the team. In addition, if you’re hiring someone to work in healthcare, you need to be sure they appreciate that the patients we serve are suffering through things that we may not totally understand. They need humility to empathize with that struggle and build the right products for those patients.”

“And then smart is not actually what you think it may be. It’s not IQ smart, but rather people smart. There’s a base level assumption that you’ll be able to do the job, but it’s incredibly important that you do it in a way that brings people along — that makes you a teammate that people actually want to work for and with.”

One of the things Nupur has been using in her recent interviews is simply asking everyone, “What’s the hardest thing you’ve ever done?” Their response typically gives you a sense of their work ethic and insight into what they consider difficult. Sometimes they’ll even answer with a personal response, and it offers a good window into who the person is, and whether they’re someone you want on your team.

4. Accept that your top performers will always eventually leave.

“As painful as it is, top performers will leave you at some point. With all members of my team, I try to develop trust, care deeply about their career, and truly understand where they want to go long-term. This way, when they eventually decide to pursue another opportunity, I’m not surprised because there’s openness and transparency in the relationships.”

The week before we sat down with Nupur, someone she’d worked with for four years left the company. She was an extremely high performer, and she let Nupur know of her intentions to leave four months in advance because they were actively talking about where she wanted to go and what drives her. The team member had joined a 50-person company. With headcount now over 500, she was ready for something different.

“I think the most important thing is to have that level of trust with your team members, such that you understand what their career goals are and you’re together making the decision about when is the right time for them to leave. If you adopt this approach, you can prepare for their departure in a way that is not disruptive.”

“It can feel like a painful punch in the gut when someone tells you they’re leaving,” she lamented, “but I think the least we can do is just not be surprised by the decision. At some point, maybe for their own career growth or evolution, or other things that they are optimizing for in their lives, you want them to leave. And as long as you are open and honest with each other and there is trust and transparency, it’s not the end of the world.”

Nupur’s general philosophy is one we could all benefit from adopting: “Everyone has different goals in life. The most we can do is be an advocate and great manager for our direct reports when they work for us, and help influence what they do next, so that you and the business are prepared for employee departures.”

5. Create an environment that welcomes diversity of thought and personality types.

“One of my biggest learnings as a leader over the years has been … beyond diversity based on race and gender, there’s tons of diversity in personality types and the way people like to do work.”

The Head of Data Science asked various team members to take a StrengthsFinder questionnaire, then put everyone into groups of people that are alike so they could discuss things they wanted to teach other groups who were different from them.

The entire product team has also used the DiSC assessment to better understand their behavioral differences. “This exercise gives you empathy for how different people want to show up, and how they want to debate ideas.” 

“Not everybody is comfortable being presented a problem and immediately jumping in and giving their thoughts. Some people want to think about a problem, spend a day organizing their ideas, and come back with their thoughts prepared.” 

“For me,” Nupur admitted, “the first step in improving my communication and collaboration with others is simply awareness. Where do people fall either in the DiSC profile or with StrengthsFinder? What do I need to be aware of as their leader so that I’m creating a comfortable environment for them to speak up?”

“I can remember the first realization I had when I recognized, ‘Oh, everybody doesn’t like coming into a room and talking loudly about their ideas? That’s interesting. I thought everyone was exactly like me!’ and that’s obviously not the case.”

“Using some of these frameworks has been incredibly important because it not only helps you understand others, but it also helps you realize how your type may be showing up for that person and what things you may need to temper, especially as a leader, because you’re setting the tone for the team.”

Nupur has a team member opposite her on the DiSC profile, and she’s started running ideas by him to make sure that he can offer feedback and criticism before she takes it to the team, because as she says, “I’m just hyper-excited and trying to tell everybody everything as soon as the thought occurs.” And that freaks some people out. It is important to understand where others in your team sit in the DiSC profile so that you can personalize your leadership style with them.

6. Let people know where you want to go!

One of the questions we hear asked at Girl Geek X events time and time again is about how to get ahead or move into a management role when you don’t have previous managerial experience.

Nupur’s advice is to make your manager aware that you want to be a manager, and make your goals explicit. “If someone wants to be a manager, you need to make sure that there’s an opportunity and a business need, and an opening in the company for a manager. Have open conversations, and make sure that you have the skills, training, and support of your manager.”

“The biggest thing is raising your hand and making it clear that that’s the path you want to go. Then hopefully if you have a good manager, and you are ready, they’ll make that opportunity for you.”

If you’re having open conversations about your goals regularly — say once per quarter — and you find yourself in a situation where the promotion doesn’t feel like it’s ever going to happen, or you start to feel like you’d be better off somewhere else, you’ll be in a better position to move on gracefully and with a reference you can count on time and time again.

For more hiring and people-management advice from Nupur Srivastava and other Girl Geeks, check out the full video & transcript from her panel on “Building High Performance Teams” at Elevate 2019, and subscribe to the Girl Geek X YouTube channel!



About the Author

Amy Weicker - Head of Marketing at Girl Geek X

Amy Weicker is the Head of Marketing at Girl Geek X, and she has been helping launch & grow tech companies as a marketing leader and demand generation consultant for nearly 20 years. Amy previously ran marketing at SaaStr, where she helped scale the world’s largest community & conference for B2B SaaS Founders, Execs and VCs from $0 to $10M and over 200,000 global community members. She was also the first head of marketing at Sales Hacker, Inc. (acquired by Outreach) which helps connect B2B sales professionals with the tools, technology and education they need to excel in their careers.

Girl Geek X Zendesk Lightning Talks & Panel (Video + Transcript)

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Gretchen DeKnikker, Sukrutha Bhadouria

Girl Geek X team: Gretchen DeKnikker and Sukrutha Bhadouria welcome the crowd to Zendesk Girl Geek Dinner in San Francisco, California. 

Speakers:
Shawna Wolverton / SVP, Product Management / Zendesk
Swati Krishnan / Software Engineer / Zendesk
Erin McKeown / Director, Engineering Risk Management / Zendesk
Alethea Power / Staff Software Engineer, Site Reliability / Zendesk
Eleanor Stribling / Group Product Manager / Zendesk
Sukrutha Bhadouria / CTO & Co-Founder / Girl Geek X
Gretchen DeKnikker / COO / Girl Geek X

Transcript of Zendesk Girl Geek Dinner – Lightning Talks & Panel:

Sukrutha Bhadouria: Welcome to the Zendesk sponsored Girl Geek dinner tonight. I’m Sukrutha. This is Gretchen. Thanks for joining us. I love all the color around. I love your hair, lovely lady. Anyway, a little bit … you also, all of you. I quickly want to recap what Girl Geek X is. So why you see that up there, Girl Geek X is an organization with Angie, Gretchen, and I working to make it easier for women and people who identify as women or anything you want to identify yourself as, anyone, to come and network outside of work, find out more about other companies that have a great culture and have really, really innovative products, such as Zendesk. At dinners like these, you have the first and the third hour reserved for networking, so I hope you’ve been chatting away and making connections so when you actually want to work at the company or apply there, it makes it easier. It’s like you have inside information.

Sukrutha Bhadouria: Zendesk has sponsored a few times before so they’ve been such a great ally and with Shawna working here now. We used to work together before. Not directly but in my head we did work directly. So when she reached out to us we were super excited that we’d have another Zendesk dinner coming up. Today, we do not just dinners. Once we hit the 10 year mark with Girl Geek X, we started doing virtual conferences, which we’ve had two so far. We also have a podcast so search for Girl Geek X and we’re looking for more ideas on topics so listen to what we have and suggest topics. Sign up for our mailing list through our website, girlgeek.io. We also launched our swag store today so–

Gretchen DeKnikker: Did you guys see it?

Sukrutha Bhadouria: You did?

Gretchen DeKnikker: That’s so cute. It’s one of these little guys.

Sukrutha Bhadouria: Yeah, so Gretchen’s nicknamed those characters pixies because they’re pixelated.

Gretchen DeKnikker: It’s a great name so it’s not just that I nicknamed [inaudible].

Sukrutha Bhadouria: So please share on social media tonight everything that you see here, eat, listen to, learn. The hashtag for tonight is Girl Geek X Zendesk and that’s enough from me. This is Gretchen, like I said.

Gretchen DeKnikker: Okay, Sukrutha said everything we always say except for, please join me in welcoming the amazing Shawna Wolverton.

Shawna Wolverton: Thank you. I am just so incredibly impressed with what these women have built over 10 years. I was looking at their site today. Over 200 dinners. This is an amazing organization and we’re incredibly honored to host tonight. A little food, a little networking and hopefully, maybe, you’ll even learn a few things. We have an agenda because this is what we do at Zendesk. Everything starts with an agenda. We have checked in. That’s good. We ate. We all successfully avoided the caution tape, so it’s a classy establishment here at Zendesk. And we’re going to do some lightning talks and then stick around, we’re going to do a big group picture and then, there’s a whole other hour after we talk at you for a while with dessert and some more chatting.

Shawna Wolverton speaking

SVP of Product Management Shawna Wolverton emcees Zendesk Girl Geek Dinner, stating “it’s amazing to get a seat at the table and to look around and see people who look like you.”

Shawna Wolverton: I am Shawna Wolverton. I am the SVP of Product here at Zendesk. I joined about six months ago and it has been an amazing six months. I feel sort of corny a lot. People ask me all the time, how’s the new job? How’s the new job? I feel like a little bit of a Hallmark card. Like it’s so great. But what’s been amazing and I really just sort of figured this out is that I was trusted right out of the gate, right? I was able to go out and be competent. At week 2, I was on stage. In month 3, I’m in front of investors and in front of the press. And it’s just been so amazing to be given that trust. And I was incredibly lucky to join Zendesk in a cohort of women executives. We hired a CIO, as well as our chief customer officer, onto the executive board when I joined and then I looked up and we already had women in our CFO seats as well as in the head of people.

Shawna Wolverton: And it’s amazing to get a seat at the table and to look around and see people who look like you. So you did not, though, come here to listen to me jabber around on about how much I love my job. But we have four incredibly accomplished speakers tonight and we’re going to start with Swati who’s going to talk to us about metaprogramming. At the end, we’ll have some time for Q&A so definitely stick around for that. Swati.

Swati Krishnan

Software Engineer Swati Krishnan gives a talk on “Code that writes code: Metaprogramming at Zendesk” at Zendesk Girl Geek Dinner.

Swati Krishnan: Hi, everyone. Hi, everyone. I’m Swati. And today I’m going to be talking about code that writes code or metaprogramming here at Zendesk. So first, a little bit about me. I’ve been a software engineer in the code services organization at Zendesk for around two and a half years now. In this time, I have learned and contributed to many projects. But of the cooler and fun things that I got to learn here was metaprogramming and I hope that I can share it with all of you out here.

Swati Krishnan: So first of all, what do you mean by metaprogramming? Well, most programs are built on language constructs. These language constructs could be classes, methods, objects, et cera. Metaprogramming, basically, allows you to manipulate these language constructs at run-time. So why is Ruby as a language particularly suited to metaprogramming? Well, that’s because Ruby’s a dynamically typed language. What this means is that it allows you to access and manipulate these language constructs at run-time. This is a difference from what statically typed languages would let you do normally.

Swati Krishnan: So how do we leverage metaprogramming here at Zendesk? So Zendesk is like a Rails shop. So this basically means that we have a lot of products and apps that are built on Rails. For those of you that don’t know, Rails is a Ruby based web framework. Web frameworks have to be pretty flexible so this means that a lot of modules and libraries in Rails such as Active Support, Active Record, et cera, heavily leverage metaprogramming. So by using Rails, Zendesk by proxy, uses a lot of heavy lifting that comes from metaprogramming.

Swati Krishnan: This talk is not going to be about rails. This talk is about account feature flags at Zendesk and how we use a bit of metaprogramming magic to add some more fun and color to them. So before I launch into that, what exactly do you mean by account feature flags? Here at Zendesk, when a developer ship new code, we do so behind … I don’t know why this is so … okay. So whenever developers … that’s better. I’m just going to leave it. So here at Zendesk, whenever developers ship new code, we do that behind something called feature flags. So whenever a feature flag is down to 0%, that basically means that that feature is not available on any accounts. Is this fine? Are you sure? Okay. When it’s done to 100%, that means that it’s available on all accounts.

Swati Krishnan: So this basically gives you mechanism to roll out a feature slowly so it can go from 0 to 100% and you could also roll it back quickly so that if things go wrong, if there’s a bug in the code or if customers aren’t really appreciative of the features–which doesn’t happen. It doesn’t happen, but there’s a slight possibility so you should always [inaudible]. So basically this feature flag framework allows developers to ship code in a more reliable way.

Swati Krishnan: So the way that this is built, it basically means that developers now have a method called has feature name question mark available on the account object. So that whenever they’re trying to ship this new feature, they can just basically go if your account object has … they can basically just go that if and say that if your account object has this part of the feature turned on, that means that we can now execute the new feature’s specific code. If it doesn’t have the feature turned on, that means that we can just fall back to our old non feature specific code or just execute old code.

Swati Krishnan: So how can we simplify the existing account class structure so that we can basically add this feature so that developers can by proxy enable new feature specific code? So one way to do that would be basically to just open the account class to add your has whatever your feature name is, question mark, method inside that. All that this method would be doing would just be checking the database to see if the feature flag is turned on for the specific account or not.

Swati Krishnan: So when a developer has a new feature to add, what they’ll basically do is just go into this account class, add a method called def has feature XYZ question mark and it’ll do the exact same thing, which means that it’ll basically call the database and check if the feature flag is turned on for the account.

Swati Krishnan: But there are also several problems with this sort of an approach and you should not be doing this. And that’s because it encourages repetition a lot so whenever a developer wants to add their own feature, they’d basically be like going to this class, adding their method, making that database call to check if the feature flag is turned on. In coding and in Ruby in general, we try to discourage repetition, because if there’s a way to get something done with as few lines of code and concisely as possible, then it should definitely be trying to use that.

Swati Krishnan: The other kind of obvious disadvantages that means that every developer, whenever they want to write this particular has their own feature method on an account object. But how could I get [inaudible] implementation off fetching from the database so this is just encouraging reinventing the wheel, which is something that we don’t want developers to do because that’ll just add potential for more bugs. Because if everyone gets to write their own implementation, then you can have more bugs pop up from that.

Swati Krishnan: And last but not least, why should we do it in this brute force driven way when metaprogramming gives you more cleaner, elegant ways to solve the same problem? So the metaprogramming solution to this is basically just adding list of features. So over here I added a couple of features, but you can increase this with how many ever features you want. And then in these six magical lines, we’ll just be iterating over this features list. And we’ll be calling the Ruby metaprogramming magical method … actually the Ruby magical dynamic generation spell which is basically just going to define a new method based on that item that it’s picked from the list. It’ll just interpolate that in the method name and then, voila. I don’t know if I said that correctly. And then you basically get a method which will then make that database call with what it’s picked up from the features list.

Swati Krishnan: So this basically means that all that a developer now has to do to get the has feature available method is to just add their feature name to this features list and then whenever the Ruby app will boot up and start, it’ll automatically create the has their feature name available method on the account object so they don’t have to write their own implementation. They don’t have to repeat themselves. They don’t have to do anything much.

Swati Krishnan: So this was just one of the benefits and applications of metaprogramming. There are several others, such as the open class implementation, which will basically let you add your own functionality over any method in the class. So you basically even go and open up like the [inaudible] method in the ink class which is a code Ruby library class. And you can add your own functionality, like logging or benchmarking, to it. Another kind of interesting one would be the Active Record library in Rails. So Active Record for those of that don’t know is object relation and mapping. So basically if you have something like user dot name in your code or user dot name equal to Swati in your code, Active Record will magically figure out that this call response to the user’s table in your database. If that user’s table has a column called name, then it’ll automatically create the [inaudible] methods for you so user dot name and user dot name equal to will already be created for you so you don’t have to define it yourself.

Swati Krishnan: So yeah. These [inaudible] the applications of metaprogramming. This is just a glimpse of all that it can do. But I hope that you found this informative and will probably use it in your own work. Thank you.

Erin McKeown speaking

Director of Engineering Risk Management Erin McKeown gives a talk on “Staying Cool Under Pressure – Lessons from Incident Management” at Zendesk Girl Geek Dinner.

Erin McKeown: Hello, everybody. My name is Erin McKeown. I just want to first say welcome. I’m so excited that Zendesk is hosting this event. I’m even more excited to share with you guys a couple of lessons I’ve learned through managing incidents throughout my career. To quickly introduce myself, like I said, my name is Erin McKeown. I’m the director of engineering risk management here at Zendesk. I have the great pleasure of leading a team of–a group of teams, actually, that I like to think of in three different categories, which is really our first line of defense, threat prevention, and recovery. When I say the first line of defense, we have what we call our Zendesk Network Operation Center. We actually have Kim Smith here with us who leads the ZNOC. Hello, Kim. Everybody say hi. She’s visiting from Madison. So Kim has the pleasure of running a very, very awesome team that takes–monitors and takes care of our systems 24/7 365 a year. Like I said, they do all kinds of monitoring. They put out fires. They escalate to different engineering teams when there’s something that is a little bit larger that they need help with.

Erin McKeown: In addition to our ZNOC, we also have our incident management team. They partner very closely with our ZNOC, and they’re responsible for running all of our response and coordination of any service incident that we have here at Zendesk. On the other side of that, we have our business continuity and disaster recovery. These are really the areas of which we focus on planning for training employees and testing on how we can recover from business disruptions. So that can be anything from a natural disaster that impacts one of our office facilities to a natural disaster that may actually take out an entire AWS region. Everyone cross your fingers that that does not happen.

Erin McKeown: So this is one of my favorite quotes. It’s a little nerdy, but Franklin Roosevelt said, “A smooth sea never made a skilled sailor.” Disclaimer, I’m not a sailor, but stick with me here. I think what Frank is trying to get at here is that no matter what, there’s always going to be challenges that come up and we are going to have to deal with adversity and we can plan and we can do all kinds of things to get prepared for events to take place but at the same time, we need to take these as an opportunity to continue to learn and to grow. And so, I’m just going to share with you guys two events that I’ve actually been a part of and two important lessons I’ve learned from them. I really wanted to dig in and give you guys a real technical incident type of conversation but I didn’t want you to fall asleep.

Erin McKeown: So the first event that I’m going to talk about is from 2011. Back in 2011, there was a 9.1 earthquake off the coast of Japan and it actually was a mega underwater earthquake that took place. As a result of that, there was a tsunami that then hit a nuclear power plant and caused a meltdown of the Fukushima power plant. This is considered the second biggest radioactive event accident to have happened to Chernobyl. I don’t know if you guys are watching the HBO series, but kind of along those lines.

Erin McKeown: So a very, very devastating event. We actually had an office in Tokyo with 250 employees on the 50th floor of a high rise building when the earthquake happened. You can imagine how scary that would really be. That was the first wave of it. And then the tsunami hit and there was devastation across the entire the eastern side of Japan. And then this huge threat of radioactivity that was potentially threatening Tokyo. These employees went through the ringer. I mean it took us about a week and a half to confirm where all of our employees were, make sure that they were safe, make sure that their families were safe, that they had what they needed. All the work that was going on in Tokyo completely stopped. It’s fine. There was other people that picked it up and things to do.

Erin McKeown: I think that what we learn from this type of an event is no matter what, people are our most important asset. As a company, you consider it family and I think one of the challenges that companies do have is really understanding that line between responsibility and just doing the right thing for their employees. In this particular event, we actually considered chartering planes to get our employees out. We didn’t have to do that because it turned out everything was going to be okay, but, yeah. So bottom line from this experience, to highlight that despite the fact that the office was unoperationable for weeks at that point, everything was fine business wise. All we cared about was the employees being safe and their families being safe.

Erin McKeown: So this is another event that took place in 2012. Hurricane Sandy. It actually impacted the eastern seaboard, caused over an estimated $70,000,000,000 dollars worth of damage. Another very, very human wise devastating event. I’m not going to talk about that one. Part of this in this one, a startup that became … well, I wasn’t working there but partnered with them on some things. I wasn’t responsible for their DR. They actually had their data center in downtown Manhattan. I don’t know if you guys know that there’s data centers in downtown Manhattan but from a risk standpoint, I would not be having my data center downtown Manhattan.

Erin McKeown: Anyway, they completely lost power. They lost backup generator power. They didn’t have a disaster recovery plan. They didn’t have their data backed up. So they were pretty much dead in the water. They had to sit there and wait and see if everything would come back or if it wouldn’t. So the big lesson from them here is luckily, the services came back. They were able to continue their operations, but they quickly implemented a disaster recovery and backup data … sorry. Data backup policy.

Erin McKeown: So I think one of the things from this experience is really understanding again, first and foremost, the people aspect is the most important, but when you start thinking on the business side of things. Especially for a company like Zendesk, that our data is our bread and butter, that’s where you want to be putting some focus and making sure that you’re considering that and making plans for it. So yep. Just kind of the takeaway from that is we do consider people. Again, I think about it from a Zendesk standpoint because like Shawna, I absolutely love it here. I’ve been here for four years. They’re going to have to drag me out kicking and screaming. Again, I do believe that we’re a company that … you know, people first. We do believe that also our data’s pretty important too. So thank you so much.

Staff Software Engineer, Site Reliability, Alethea Power gives a talk on “Computer, Heal Thyself: Automating Oncall, So You Can Sleep Through It” at Zendesk Girl Geek Dinner.

Alethea Power: Hi. This is my talk. Computer heal thyself: automating oncall. So you can sleep through it. My name is Alethea Power. I’ve worked in auto-remediation, which is what I’m going to cover, and I’ll explain that term in a minute. I’ve worked in auto-remediation for about 10 years. I built one of the world’s first and largest auto-remediation services. And now I’m building an auto-remediation service in conjunction with Kim and the ZNOC team here at Zendesk.

Alethea Power: So what is the purpose of auto-remediation? Well, tech companies have been finding through the dev ops revolution, not revelation. I mean I guess it’s kind of a revelation. Over the past number of years, that they can get better product quality, faster product development velocity, and higher service reliability if they give product engineering teams both the responsibility and the authority to manage the full life cycle of the software that they’re writing. So that means not just writing code but the engineers who write the code also push the code out to production. They operate the code in production. And they respond when there are outages in production.

Alethea Power: So this causes a virtuous tight loop. The engineers who are writing the code are best equipped to solve problems when they occur and when those problems occur, it gives those engineers a lot of extremely useful information about how to change that code or repair it. So quality goes up, speed goes up, et cera, et cera. But this introduces a whole new set of responsibilities for software engineers that they have not traditionally had to take care of which means we have to provide them with tools to make these jobs easier so that they can focus on the part they understand and not have to worry about lots of things that distract them from the focus of the code.

Alethea Power: So auto-remediation is meant to be a tool to help address with your mediation of outages. And I’m not talking about the Fukishimas of the world. I’m talking about much more frequent outages. The kind that happen 20 times a day. The kind that happen at 4 A.M. and at 4:45 and at 6 and at 5:30 A.M. So what does this look like in practice? Traditionally, you have a monitoring system that detects when you have outages in your infrastructure with your services. That monitoring system gives alerts to engineers. Now this could be in the form of engineers sitting in front of a dashboard of alerts 24/7 watching it. It can be in the form of alerts paging engineers in the middle of the night and waking them up. Yeah, et cera, et cera.

Alethea Power: And then engineers take their own knowledge and documentation recorded in what’s frequently called runbooks to execute various commands in the production environment to try and solve these problems. So these commands can be things like, if you have an application that’s wedged, maybe you’ll restart it. If you have a hard drive that’s full and maybe it’s full because there’s a bunch of errors spewing into a log. Then maybe you truncate that log. If you’re in the middle of being attacked. If you’re in the middle of a DDoS attack. Maybe you changed some routing rules to black hole incoming requests.

Alethea Power: So these are the kinds of things I’m talking about. So in auto-remediation service replaces these two components. The engineer gets replaced with a service and the runbooks get replaced with remediation code. So instead of having human readable documentation about what to do, you have blocks of code. And the auto-remediation service goes and executes this code in response to alerts in the monitoring system. And then engineers can sleep through the night. Their talents are better used for, for instance, instead of waking up to restart a service that has a memory leak, they can be well rested in the morning and figure out why it has a memory leak and fix that.

Alethea Power: And in general, we can take better advantage of the knowledge that we have across all of our engineers. The engineers that are being woken up and the engineers that are watching these dashboards. We’ve got a lot of really knowledgeable, talented, intelligent people. And we want them to be able to use their skills in the most sophisticated and interesting ways possible. So we’re trying to automate as much as we can.

Alethea Power: So I’m going to look at an example here. This is a configuration file for the auto-remediation service that we’re building. I tried to design the configuration language to be as simple as possible while also being flexible enough for what we’re trying to accomplish. So let’s walk through it. This file says if you have this issue on these hosts, then it should run this job in response but don’t run it more often than that. So specifically if the osquery agent is busted, web servers in us-west-1, then you want to run this block of remediation code but don’t do it more than five times per hour per cluster. Make sense?

Alethea Power: So let’s go look at this thing right here so we can understand how that looks. So we’re also building an SDK, mostly built by engineers on Kim’s team. And this SDK includes a lot of convenience objects and convenience methods so that the people writing remediations can focus just on the logic that they care about and they don’t have to worry about things like SSH authentication and properly rotating keys and how do they get authentication into AWS so they can reboot EC2 hosts and stuff like that. We abstract all that away for them and we do it in ways that make our security compliance team happy. Every remediation uses a different SSH key magically.

Alethea Power: So this remediation you can see in four lines of code. It could fix this problem. So let’s walk through these lines. First, you import our SDK so you get all of these convenience objects and methods. Then you subclass our remediation class and override the run method and inside of that, you get this convenience object. If it’s an alert on a host, you get self.host. The remediation doesn’t even have to know what host it’s working on. It can if it wants self.host.name. We’ll tell you a host name but you don’t have to. And you get this method, self.host.run, which magically does lots of SSH things in the background and can run this command to go restart that service.

Alethea Power: So it’s that straightforward. We’re trying to make it as simple as possible for our engineers. It’s pretty complicated on the backside. Here’s a pretty simplified picture of what the backside looks like. So, Swati, you did a magic thing with a dot. I don’t know how to do it so I’m just going to go point. So that thing, the alert mapper, pulls in alerts from PagerDuty. That’s who we use for monitoring or where we consolidate our alerts. And it runs those alerts through the configuration like the configuration files we were just seeing and calculates what remediation jobs to run, inserts those jobs into the database, and then that thing, the job launcher, pulls the jobs from the database, hands them as config files to Kubernetes and Kubernetes executes them inside of containers. We’re running them in containers because I’ve built this before and engineers make jobs that take 100 gigs of ram and all the CPU you can use so we don’t want any job to choke out the others. And lastly, since we have this nice infrastructure in place already with a beautiful SDK, we’re giving people the ability to launch proactive jobs using a CLI to do things like kernel upgrades and other stuff that’s not necessarily responding to alerts. All right. Thank you.

Eleanor Stribling speaking

Group Product Manager Eleanor Stribling gives a talk on “ML in Support: Infusing a flagship product with innovative new features” at Zendesk Girl Geek Dinner.

Eleanor Stribling: Hi, everyone. My name’s Eleanor Stribling. I’m a group product manager here at Zendesk. What that means is I manage other product managers. And what I wanted to tell you about today was how we’re using machine learning in Support, our largest, oldest product. A little bit about me. I would also say that Zendesk is really the best place I’ve worked in in tech. I’ve been here a year. Before that, I’ve been in all kinds of companies ranging from a company that’s like a 100,000 people all the way to a teeny, tiny social impact startup and this experience overall has been just amazing. I work with obviously lots of really smart people, so definitely encourage you to explore this if it’s of interest to you.

Eleanor Stribling: One of the reasons I really like Zendesk and I like working on this product is … well, it’s not evil. But also, it really helps people do their jobs and do them well and that’s why I’m so excited about this particular project. Putting machine learning in Support, because like I said, this is the product that a lot of our customers use. Use it a lot. They’re in it everyday. And we want to help them do their jobs better and more efficiently. So machine learning is a great way to do that.

Eleanor Stribling: I want to do a little bit of clarification of terms. So when I say Support, I might mean something different than what you imagine it to mean. So most people when they say, most normal people who don’t work here, when they say support, they mean calling support like I need to call support because I’ve got a question. That kind of usage. What I’m going to talk about is the product Support. So Support, as I mentioned, is our oldest product. Until recently, it was Zendesk. And basically it’s a system for creating tickets or issues, moving them through a system, making sure the right people see them at the right time and then resolving them. And that’s kind of the core of what we offer. So it’s a really cool place to work because we have huge impact on a lot of users.

Eleanor Stribling: So a pause here and then zoom up a little bit. When you think of machine learning as part of customer service or customer support, what do you think of? What do you sort of imagine? Chances are, you imagine something like this. So this is one of our products. This is AnswerBot. And it is exactly what the name connotes. It is a bot that answers questions for people in chat. So in this example, you’re connecting to a chat. You’re asking some basic questions. AnswerBot looks at the text and predicts a response and then serves it to you. If the prediction is strong enough and if it doesn’t, as you can see right here, it’s going to escalate it to an agent. That went by really fast but trust me, that’s what it did.

Eleanor Stribling: So that’s usually how we think about customer support with ML, right? Bot answers your questions. I think this is a great product and it does lots of great things. Among them, it means that customers don’t always have to talk to a person. So I definitely have my moments. I think we all do when we really don’t want to talk to a person and in these circumstances, it’s great. But the problem with answer bots, generally, not just ours, is that people do want human connection. So it’s great for deflecting some issues but sometimes when you call support, you just want to talk to a person. How do I get to a person, you might scream into the void.

Eleanor Stribling: So really the question that we have now as a very customer centric company building a product that’s supposed to help you build relationships, is how do we help people inject that humanity that customers want, they want to experience. How do we help them do more of that? How can we help them be more efficient? And I think we started looking at machine learning as a way to do that in Support. This is also, I think, important kind of context. We do this really cool report every year about customer experience trends. So if you’re interested in customer experience, generally, if you’re a data person, definitely check this out because I think it gives you good perspective or if you want to apply for a job, just saying, it will give you really good perspective into the landscape.

Eleanor Stribling: So there’s a lot going on here but basically people expect answers fast. They want it on every channel that you have. They expect you to be on every channel. They really want you to be proactive but you’re probably not doing that so there’s a lot of pressure right now on these customer support organizations. So in this environment of I just want a person but I also want a person with all this other stuff, how do you manage that? So when we first looked at taking this approach of we got this giant product people know and love. It’s like where they spend their whole day in a lot of cases at work. We first started with the question, how can we use machine learning to help customers manage complexity. Because we are going up market. We’ve got more and more customers who have huge agent teams. Like about 40% of our annual revenue comes from customers that have over 100 agents. So these are not small companies. There’s a lot of complexities.

Eleanor Stribling: So we kind of started there, but then realized pretty quickly as a customer centric company that really, what we were asking is how can we use machine learning to make our customers even better at their jobs? And really even beyond that, how can we help them make their jobs less stressful? If you imagine being an agent or a manager of support agents or even an administrator of a system like this, there’s a lot riding on you. There’s a ton of stress. People are calling you stressed out, saying I’ve been trying to talk to a person for however long. It’s often not pleasant and so, I think, to make jobs for these folks easier is one of the reasons I joined Zendesk, because again, it’s something that’s actually improving people’s lives and it’s definitely not evil.

Eleanor Stribling: So what we wanted to do was figure out, how do we add little things to this so that it won’t blow you away, like the machines aren’t taking your job, but we’re giving you little tools to do everything that much better, that much faster. So again, being a customer centric company, we looked at the main groups of customers that use our product, which you see across the top there. Agents, managers, administrators. And then we thought about, for each of them, as you can see down the side there, what their goals are and then we thought about what we could use ML to do for them. How could we help them do their jobs with this rich set of data that we have for each customer?

Eleanor Stribling: So first of all, agents. So they really need to get happy customers. Like if you’re finally getting that touch of humanity in your support experience, you want your customer to leave happy, right? It satisfies them. It satisfies the customer. Everyone’s incentives are aligned. So the plan here is because agents are often working in complex environments, they can be very high turnover environments, we wanted to figure out a plan to–and what we’re working now, actually–is essentially crowdsourcing agent responses. So we can start suggesting next steps for people as they’re working on a ticket. And that’s really huge. Again, in somewhere that’s really fast paced, maybe you’re working on something you’re not familiar with, we’re kind of there to lend them a helping hand and help them be a little bit faster and more efficient and give people more relevant answers.

Eleanor Stribling: For managers, so managers are leading a team of agents and they really need these agents to be efficient and make people happy and they care about CSAP. Part of that is making sure you got the right number of people, the right people and the right number, in the right place to answer questions. So here we’re looking at grouping relevant data together. So for example, if you have a ticket that comes in and it’s one of a hundred tickets about the same topic, we want to surface that in a really clear and simple way for managers so they can respond effectively. Either by getting agents with the right skills. Maybe they figured out a response they want to communicate to their team. That kind of thing so that they can get on top of it. Another thing that we’re working on managers that I think will really help is predicting surges. So we can look at the agent staffing that they’ve had at any given time. Maybe it’s a time of it’s really busy like around Christmas for example or maybe it’s just every Wednesday. What do I need? The other thing we’re working on here is figuring out how to surface that intelligence so managers can do their job better so we’re giving them a little boost.

Eleanor Stribling: And then finally, administrators. So these are the folks that set up Zendesk and maintain Zendesk. And so their main thing is that no ticket, no issue kind of gets undealt with. And I think that there’s kind of a constant stress that they have that something will not be answered because they somehow messed up the settings. So the great thing about administrators from a data science perspective is they kindly label a lot of data for us. We don’t want them to stop doing that but what we can do is learn from how they label data for us. And what that means is we can help make sure that no ticket goes unanswered. That if they don’t assign something that makes sense, we can provide suggestions, updates for them, but also for managers in real time so that they can change the routing. So there’s a lot of really cool things we can do that would really have real time impact in small ways on our customers to, again, make their job better, make it easier and less stressful. And really, that’s one of the reasons I work in tech. Because I want people’s lives to be made better through it.

Eleanor Stribling: And finally, if you follow me on Medium or Twitter, you know I’ve got kind of this weird thing about Harry Potter and I had studied language in Harry Potter. But to me, this project is kind of like that. It’s like we’re taking something that’s everyday that people are used to staring at for hours on end and we’re adding little things that are unexpected and kind of cool. And so that’s why I think that this is such a great space to be in. Because we’re having like huge impact by making little and also extremely cool changes to the experience. We are also hiring in that team. Shameless plug. We’re hiring in that team for a data science engineer and a data scientist and I’m also hiring for a product manager, so if you’re interested in any of those, definitely come see me after. Thank you.

Shawna Wolverton: All right. Thank you to our amazing speakers. Why don’t you guys actually all come back up and we can do a little Q&A. I think there’s going to be some folks out with mics wandering around. Maybe. There you go. We don’t need all the mics. So we got about ten minutes for Q&A if anyone has questions about the talks or Zendesk or you know, we know a lot of things. Trust us. It’s fun. No? Careful, we’ll ask you … oh, great. Right … oh, you’re close but then we got one up here.

Shawna Wolverton, Swati Krishnan, Erin McKeown, Alethea Power, Eleanor Stribling

Zendesk girl geeks: Shawna Wolverton, Swati Krishnan, Erin McKeown, Alethea Power and Eleanor Stribling answer audience questions at Zendesk Girl Geek Dinner.

Audience Member: Hi. Alethea, I really enjoyed yours as someone who’s been woken up so many times from PagerDuty. Like God bless you. Can you talk more about the code behind what makes all that wonderful magic run?

Alethea Power: Yes, but there’s so much of it. Maybe it’s better to go into details after the Q&A?

Audience Member: I will find you. Thank you.

Shawna Wolverton: I have a feeling–

Alethea Power: I guess I could give you like a 30 second. It’s all written in Python. We use Aurora on the backside for the database. Like I said, we put containers into Kubernetes. I don’t know. That’s a very quick, quick, quick. It looked like you frowned when I said Python.

Audience Member: Oh no.

Alethea Power: Okay, so don’t find me afterwards. No, no, seriously. Totally come ask.

Audience Member Thank you.

Shawna Wolverton: Heard one up here.

Audience Member Hi. This is a question for Swati. You mentioned metaprogramming and I’m actually really interested in dynamic programming languages, such as Python, but you mentioned you mostly work with Ruby. So I was just curious if you ever worked with other languages, such as Python, for instance?

Shawna Wolverton: Lovers and haters of Python.

Swati Krishnan: Thanks for the question. My internship project here was in Python. So yes, I’ve worked with Python before. That was dealing with, I don’t know if you’ve heard about [inaudible], but that’s like a graph database implementation in Python. So I worked in that quite a bit and yeah, Ruby and Python are very similar, interchangeable somewhat. Yeah. Any more questions about the?

Audience Member: Talk to me more about it.

Swati Krishnan: Sure, catch me and then I can talk to you about my Python work. Sure.

Shawna Wolverton: Question.

Audience Member: Hi. I have a question for Alethea. So no doubt that it’s great that you’re not woken up at 4 A.M. or on call. Agreed with that. But I’m curious, one of the philosophies of DevOps is that when engineers feel the pain of the alerts, they’re more motivated to fix it. And so do you find that maybe the engineers aren’t as motivated to fix it and if so, is that actually a problem?

Alethea Power: That is such a good question. So this service is in the process of being built right now, but like I said, I built this in the past and had years of experience running it in the past. That’s why we surface very public metrics from it. So rather than feel the pain in a way that makes them bleary eyed and less capable of doing their jobs, they feel the pain in the sense of error budgets and visible metrics and things like this. So, yeah.

Shawna Wolverton: For the record, blameless accountability.

Alethea Power: This is true. I’m actually a big fan of blameless accountability.

Audience Member: I’m also just curious as to how many engineers helped you to build this and how long it typically takes?

Alethea Power: So it’s me and two engineers on Kim’s team. We spent a while designing because there were some security compliance constraints we had to hit and also, we’ve purchased a number of companies, so we have to be able to work with a wide variety of infrastructural decisions. So it took us a few months to figure out high level, how to design the system so that it would do all of that. And once we knew roughly what we were doing, I don’t know, what would you say? We’ve got about 80% of the code written in two months. Something like that.

Audience Member: [inaudible].

Alethea Power: Yeah. We’re cranking right now.

Audience Member: Hi. I have a question for Eleanor. So, I don’t know anything about your product, Support, but I’m assuming there’s a dashboard so when the customers come to open a ticket, is there a knowledge base? I was going to ask you, are you using machine learning to help the customer before they open a ticket.

Eleanor Stribling: Yes. So we’ve got a product called Guide, which is basically a help center. It’s a really easy use, out of the box kind of help center. So yeah, we’ve got that product. We also have AnswerBot, which I mentioned, which helps people before they even reach out to a person to try and resolve their issue before that. And we also have a bunch of tools for people who administer help centers to help them figure out what to write articles about so from those three dimensions, we try to take care of them before they need to reach out.

Audience Member: Got it. Thank you.

Shawna Wolverton: Going once. Oh, one more. [inaudible].

Audience MemberI have a question for Erin McKeown. She and Kim Smith and I actually started Zendesk on the same day, a little more than four years ago. But Erin, when you started, you were the first person to work in business continuity and disaster recovery here, and now you’ve built out quite a practice. I’m just wondering if you have any sort of quick tidbits, lessons learned, insights on that experience over the last four years?

Erin McKeown: Yeah. Well, that’s a really good question. Yeah, I started out as business continuity disaster recovery program manager and that kind of scope grew quite a bit. We had a lot of activity on our intimate management so we built out an entire team that is really churning now and doing amazing work. And so, been switching focus a little bit to prioritize different things and build out different teams. I’m actually, right now, hiring a disaster recovery manager who then will hire three analysts under them so I’m really excited about the progress that’s being made there. But I think what I tried to do was focus on what I could actually manage and actually what I could take on and be honest with myself about that. Because I think I started out of the gate being like oh, I’m going to do all of these things and quickly was like, oh gosh. Got to pace it back a little bit.

Erin McKeown: Again, having very supportive upper management and with that whole perspective has really helped us get progressively down the line, but, yeah, it’s been a fun journey over the four years for sure.

Shawna Wolverton: One in the back.

Audience Member: Hi. This question’s for Eleanor. I was just curious, and it seems that the product you’re thinking about might not be as mature. How do you deal with customer questions around validation of the algorithm or you mentioned you’re going to forecast demand search. How do you deal with where they’re like, well, how is this true or how do I know you’re giving me the right guidance because I don’t trust the machine or the model?

Eleanor Stribling: Yeah, that’s a great question. I actually saw a really … this influenced me a lot. A talk by someone from PagerDuty at a conference a little while ago. And I talked to him about it after because we were thinking about doing some similar things and he was saying that really the biggest challenge was getting people to adopt the ML because they didn’t trust it. And so I think the approach that we’re taking is very much opt in, we’re going to validate all of these algorithms we’re writing. We’re going to validate them all with customers before we start and make those early validation customers EAP customers, we hope, to sign them up so they can sort of see it in action and be part of making sure it works the way they need it to. So I think that that’s one tack.

Eleanor Stribling: But I think it’s also the reason behind the strategy that we’re not going to suddenly say oh, we’re going to use ML to route all of your tickets. Like trust us, it works. We’re not going to do that. We’re going to very gradually introduce little things that help people a little bit. And they don’t even have to take the suggestion if they don’t want to. But the hope is that over time, they begin to trust it. It doesn’t replace them. It doesn’t replace necessarily even huge amounts of their workflow. It just makes it a little bit better for them and I think that that’s definitely going to have to be the first phase of how we approach this. And then we’ll see.

Shawna Wolverton: I think one more question. Yeah? But we’ll all be here afterwards. Feel free to find us.

Audience MemberHi. I have a question for Eleanor, too.

Eleanor Stribling: Sure.

Audience MemberIt’s a continuation to what she asked. So with every customer that opt ins with you, do you retrain your model and then how do you know, how good is your model?

Eleanor Stribling: Yeah, so, great question. So we are doing individual customer models. I think that that’s really because each customer’s quite different and we definitely have customers with a ton of data and we want to make sure that we customize the solution to them. I think that’s how we’re going to get the best result. In terms of validating it, I think that, again, we’re going to need to do a couple of steps. I think with some of our biggest customers, we have some customers who are already really interested in this. So I think that there’s an opportunity there to get them on board. Have them help us test it effectively. I think we will be gating some of these things, so we’ll give them options to roll it out to portions of their organization. We have a lot of customers who deploy it in multiple areas in the organization. So do that gradually. Make sure they’ve got some training around it. But I think, again, really the strategy needs to be we’re going to get some customers who we know it works for them and they can help us evangelize it, because otherwise, I don’t think people won’t necessarily trust it. [inaudible] own data. Does that answer your question?

Audience Member: Yeah, yeah, yeah.

Eleanor Stribling: Great.

Shawna Wolverton: All right. Thank you lovely speakers. We fed and watered you. We educated you a little bit. And in exchange, you get to learn why it would be so amazing and awesome to work here. I want to introduce Lauren from our recruiting team.

Lauren Taft: Hi, everyone. Thanks so much for coming. I’m Lauren Taft, manager of recruiting for technical and university recruiting and Stephanie, who’s over there, who’s our senior tech recruiter. Just wanted to tell you a little bit more about Zendesk. We have 145,000 customers, 2,600 employees. Our headquarters is here in San Francisco. We have 16 global offices. Our product is in 160 countries. It touches 60 languages. And we have 1.4 billion yearly interactions processed.

Lauren Taft: So a little bit about Zendesk recruiting. We’re growing at scale. There’s tons of opportunity and with opportunity comes impact. And then a little bit more about what our values are here. We practice empathy, focus on relationships, and be humbledent, which is humble and confident together that we made as one word. Kind of a fun little spin. We thought it’d be great to show you a video. Oops. I should pause this for a second. We made this for International Women’s Day and it’s a little bit of what it feels like to be a female here at Zendesk.

Video Speaker: Oh okay, one word.

Video Speaker: One word to describe her? Badass.

Video Speaker: Oh, I would totally call her a badass.

Video Speaker: Badass.

Video Speaker: Is badass one word?

Video Speaker: Okay, two words. She’s amazing, but she is also a badass, which is pretty cool. She has a special way of like seeing things within you that you might still be trying to grasp or shore up and she’s like no, you’re there. You’re ready.

Video Speaker: Any time she gives me feedback, it’s often very direct, and sometimes a little shockingly direct, but it never upsets me because I know that it’s coming from a place in her heart where she wants to be my best self.

Video Speaker: She had a really genuine talk with me, which I really appreciated. It was kind of like a big sister talk and it was a talk that I’ve never gotten from anyone at work. She just did it in such a genuine, motherly way. The way that she approached the situation, I really respected, and I realized why she deserves to be in a leadership position.

Video Speaker: Wow. She said all that? Trying to put into words the emotions that are there around it. It’s wonderful to feel recognized. I feel like that’s something a lot of women don’t ask for or expect. I had women like that in my own life, and it is super meaningful to me in terms of just being a person in this world to be able to affect somebody like that, so.

Video Speaker: She’s really helped me to push myself outside my comfort zone. To own those aspects of being a woman that at times can appear or make us feel a little bit more limited. I think her favorite word was, use that emotion and passion for good. To help get things done. To help drive what’s important to your team and your organization and that’s the first time I’ve really looked at it that way. How do I take that crazy wild but super passionate part of me and put that in a place and use that in a way that can get good things done?

Video Speaker: I really love it when women have a conviction or a boldness to put themselves out there and say this is a thing that I want and then to go get it. And it’s been so cool to see her succeed and push herself and push others and grow Zendesk over the past couple of years.

Video Speaker: We would talk about what we’d like, what we didn’t like about our jobs and what we wanted and she took the steps to communicate, make it clear what her goals were, but she didn’t just wait for things to happen. And that’s what is mostly inspiring is that she took her destiny into her own hands. She went and took classes outside of work and was able to move her career in the direction that she wanted to.

Video Speaker: I would say that she’s helped me by demonstrating that you … it’s always easier to take responsibility for your current situation and how to get to where you want to be. She’s shown me that it’s good to not necessarily wait for opportunities to show up, but to go after them aggressively. Even if you’re not sure how they’re going to pan out and even if sometimes other people are telling you not to go after the thing, that if your gut is telling you to go after the thing, you should do it.

Video Speaker: I’m actually surprised at how many strong, powerful, motivated, intelligent women that I’ve met since I’ve been here. More than I’ve ever met in my life. It helps me to drive myself to be better, but it’s also just a really good support network.

Video Speaker: We’re hoping we can spread the joy.

Video Speaker: You are definitely spreading the joy. If there was like one moment this week that I needed this most of all, it was like right now, today.

Video Speaker: I’m so glad to hear that.

Video Speaker: So, thank you.

Lauren Taft: Uh oh. I don’t know what’s going on. There we go. So I hope you guys enjoyed that video. Just gives you a good sense of what it’s like to be here. If you’re interested, come chat with us. It was a pleasure hosting you all. We had a bit of swag snafu so check your inboxes for an Amazon gift card. We’re very appreciative that you’re here, and we are going to take a group picture.

Zendesk Girl Geek Dinner group picture

Zendesk Girl Geek Dinner group picture – thanks for coming out and joining us!


Our mission-aligned Girl Geek X partners are hiring!

“Coding Strong at Age 60”: Akilah Monifa with ARISE Global Media (Video + Transcript)

Speakers:
Akilah Monifa / SVP / ARISE Global Media
Gretchen DeKnikker / COO / Girl Geek X

Transcript:

Gretchen DeKnikker: I’m so, so, so excited about our next speaker, Akilah Monifa. She is the SVP at ARISE Global Media, which is a digital media platform for LGBTQ folks of color and their allies. And she made an Alexa skill called Black Media–or Black History Everyday, which I really want to just make it Black History Errryday. But not everybody’s gonna put all the Rs in it.

Gretchen DeKnikker: I’m very, very excited for this talk and you guys are gonna love it. Please, welcome Akilah. All right.

Akilah Monifa: Thank you, Gretchen.

Gretchen DeKnikker: All right, thanks.

Akilah Monifa: Welcome, everyone. It kind of reminds me, the start kind of reminds me of in eighth grade watching a science film and the film broke, but it is 2019, so we did get it together. I am Akilah. I’m gonna talk today about my Alexa Skill Black History Everyday.

Akilah Monifa: Even though you can see me, just wanted to share a little about me and the skills. This is me. This is my wonderful headshot. One of my favorite shots of myself. This is me and my children. my son Benjamin who is 15 and my daughter Izzie who turned 18. This is Raya Ross who is my intern and is a high school student, and helps me work on the skill. I just wanted to show a picture of her. This is my friend Elan and myself. We are in our Black History is Golden tshirts from the Golden State Warriors, because, obviously, black history is near and dear to my heart. Elan also helps a lot on the site, too.

Akilah Monifa: Okay. Now, this is just a brief little video that I wanted to share with you that Alexa made about my app.

Akilah Monifa: My first skill is pretty simple. It’s called Black History Everyday.

Alexa: Patricia Bath, that first black woman to serve on staff as-

Akilah Monifa: It started to work at 5:00 AM, on April 3rd, 2017, which happened to be my 60th birthday. And I cried when it worked. I cried tears of joy. I want people to know that you don’t have to know the coding to do it. I didn’t know the coding, and I actually now have three skills. I think it’s very exciting. I mean, I don’t think that I can adequately describe just the thrill that all of these skills have, but particularly the first one. And to know that so many people can hear the skill and be as enlightened through sound and knowledge, as I was, it is, I think, very, very profound.

Akilah Monifa: My children jokingly say that that’s my commercial for Alexa.

Akilah Monifa: Why did I start the skill? The first thing was that, as we all know, Black History Month in the United States is in February, and it’s the shortest month of the year, lot of people have complained about that. 28 days, 29 in leap year.

Akilah Monifa: My other big issue was that I really wasn’t learning much in Black History Month. The same facts were being regurgitated over and over. So, what do you remember about Black History Month in general? I mean, we heard facts about Martin Luther King, George Washington Carver, Rosa Parks, and that was really the extent of it. That certainly was not sufficient for me.

Akilah Monifa: The first thing that I did was to develop a website which is BlackHistoryEveryday.com. I was actually amazed that the URL was available, but it was, so I developed the website. My thought was that every day I was going to put a different black history fact on this website.

Akilah Monifa: Here are a couple of examples. The website exists. A few examples of the facts that I put on the website, and they’re very short. I wanted them to be diverse. This is Isis King who is the first transgender model to compete on America’s Next Top Model in 2011. This is the Mobile Edition. This is what it looks like. Mashama Bailey, the first black woman nominated for Best Chef at the James Beard Foundation awards 2018. Glory Edim, she’s the founder of Well-Read Black Girl, an online book club and community.

Akilah Monifa: The other thing that I wanted was the oh wow factor, “Oh wow. I didn’t know that,” or, “I was unaware of that.” So, I really tried to have really interesting things. Since today is International Women’s Day, starting today through the rest of the month all of my facts are going to be about women, about black women.

Akilah Monifa: Now we go from, I have this website. Two years ago, someone gave me an Alexa, and I had heard about it, but I had not experienced it. I got it. I saw that there were all sorts of skills on Alexa, so I thought I should be able to have my website into an Alexa skill. That was my thought. I thought how difficult can it be. Actually, I thought I don’t know anything about coding, so maybe I can’t do it. But I googled how to do an Alexa skill, and found out there was something called the Alexa skills kit, and that was online.

Akilah Monifa: So, I went to the Alexa skills kit and got information that alleged that one could build a skill in minutes with no coding required. I said, okay, I’ll develop the skill. Basically, when I went to the Alexa skills kit, there were five different entries that I could make to help develop the skill. I suppose theoretically, it could have been done in minutes…skipping ahead. It did not take me minutes. And when I tried to fill out the form or I did fill out the form and I developed my skill, it got rejected. I lost count the number of times that it got rejected. After you submit it, you submit it for certification, and it was not successful. I think I submitted it between 75 and a hundred times. I joined Alexa developers groups to try to figure out what was wrong and talked to people and tweeted…. The shorter version of it is that finally, after all of this, it did start to work. And I just wanted to show you this is just the first page. It was almost fill in the blanks. But the key thing that was missing for me in developing the skill is that I thought that simply by having the website that I could feed the website into Alexa, and Alexa would be able to read out my website, and that in fact was not the case.

Akilah Monifa: It was finally when I, through a lot of research and trial and effort, realized that one thing that I needed was to get Alexa to talk to the website. It was pretty simple. I just had to find a device, and the device that I found is called Feedburner, Feedburner.com. Once I plugged my website into that, then Alexa could understand what my website said and read out the information, which was just wonderful.

Akilah Monifa: As I described in the video, it actually started working on my 60th birthday, which was two years ago, which will be coming up two years ago, so I was very ecstatic. I can also really, if you’re trying to build an Alexa skill, really recommend Feedburner. After that, it was very simple.

Akilah Monifa: I just wanted to show–The skill, I did a definition of the skill. The skill basically says that it is Black History Everyday in about a minute from Arise 2.0. Black history is no longer relegated to the shortest month of the year. A different black history fact presented daily, seven days a week, 365 days a year, 366 in a leap year. It’s prepared. I say, “Invented by the team at Arise 2.0,” which is mainly consisting of me and Raya with some help from a few other friends who give me information. Our mission is to tell our diverse stories.

Akilah Monifa: If you have an Alexa and you go to Alexa, you can enable the skill in the app. And there it is, Black History Everyday, actually with an old logo. Or you can actually just ask it to enable it. I just wanted to at least show you–and hopefully, Alexa will work–how it works.

Akilah Monifa: Alexa, what’s my flash briefing?

Alexa: Here’s your flash briefing. From Arise 2.0 Black History Everyday, Zarifa Roberson, CEO/ Founder/ Publisher of I-D-E-A-L magazine for urban young people with disabilities 2004 to 2015.

Alexa: Toni Harris is the first woman football player at a skill position, non-kicker, to sign a letter of intent accepting a scholarship to Central Methodist University in Missouri in 2019.

Alexa: Akilah Bolden-Monifa, Alexa pioneer, developed Black History Everyday Skill for Amazon’s Alexa in the website BlackHistoryEveryday.com.

Alexa: Dr. Roselyn Payne Epps is the first black woman to serve as President of the American Medical Women’s Association in 2002.

Akilah Monifa: The only glitch was that it was my intent to have one black history fact every day. What I found out with Alexa is that through my website Alexa would read out five facts a day. I had to basically then shift gears and make sure that I had five different facts a day instead of one. That’s my skill. Thank you.

Gretchen DeKnikker: Thanks. Looks like I was still muted. Thanks, Akilah.

Akilah Monifa: You’re welcome

Gretchen DeKnikker: That is so awesome. There’s other people. It’s the same. People [inaudible 00:11:48]. That’s making their Alexas go off just listening to you.

Akilah Monifa: Yes.

Gretchen DeKnikker: Which is awesome, because that’s what happened when we did the dry run for her speaker talk too. And so, we had one question come in. She keeps getting rejected, she’s saying with Google not Alexa. Because I think they don’t want to give me the name I want. It’s frustrating for an indie developer. How many times did you say you had to keep applying?

Akilah Monifa: I lost track, but I believe that I applied for certification between 75 and a hundred times before it was accepted. And I would say that the one thing–that it passed certification, basically.

Akilah Monifa: The one thing that I didn’t do was you can test it before you submit it for certification, and I didn’t do that. I foolishly just kept certifying it and submitting it through certification thinking that it would work, and it didn’t. If I’d tested it, I would have seen that it didn’t work, so I probably wouldn’t have submitted it for certification

Gretchen DeKnikker: Another question. What was the thing that surprised you most about developing a skill?

Akilah Monifa: I think that the thing that surprised me, what most, was how easy it was that I just had the idea. Before people told me that you needed coding to do it or you needed to pay someone to code you, so I thought I can’t do it. The surprising thing was that when I googled how to build an Alexa skill, yes, if you know coding you can build it, but you can build it without knowing coding.

Gretchen DeKnikker: Amazing. I think this is great. What I’m really hoping, this will be my request to you, is that next year you can come back and tell us about building it for Apple and for Google, so that we can all have it, because I do think that American school systems don’t do a great job of giving that information out. It’s amazing that you took the time to just share it with everybody.

Akilah Monifa: Well, and the good thing is that it is available to everyone because even if you don’t have the skill, if you don’t have Alexa, you can get the information through the website. Just go to BlackHistoryEveryday.com, and all the information is on the website, which is good.

Gretchen DeKnikker: Awesome. All right, Akilah, this was great. Thank you so much for taking the time.

Akilah Monifa: Thank you.

Gretchen DeKnikker: All right.

12 Product Design Leaders To Follow In 2019

Love building digital products with amazing user experiences? Product Designers as a job title has blazed a trail in tech for the past decade with the rise of Facebook VP of Design Julie Zhuo leading the industry.

We look to Product Design leaders at companies of all sizes to find insight in their careers and map the rise of Product Design as a profession. Lucky us — many of these leaders speak publicly, tweet and share their expertise and thought leadership.

Here are 12 Product Design Leaders to Follow in 2019:

Christine Fernandez – Stitch Fix VP, Product Design

Christine’s Proudest Moment: “There’s so much work that I’m proud of, but my biggest accomplishment is definitely the teams I’ve built over the years, and helping some of the best designers I’ve had the pleasure to work with grow into leaders. Design now has such an important seat at the table – at the executive level, in boardrooms, and shaping the future at the most innovative companies. It’s been quite a journey, and I’m so grateful to have been a part of leading that change.”

Christine Fernandez is a Vice President of Product Design at Stitch Fix. Previously, she was Chief Experience Officer at Art.com, Head of Design at Uber, and worked as Creative Director at R/GA, frog, Razorfish, Schematic and FCB. Connie holds a B.A. in Graphic Design and a minor in East Asian Studies from University of Pennsylvania. Follow her on Twitter at @ctfernandez and her product design thoughts on Medium.

Connie Yang – Coinbase Director, Design

Connie’s Proudest Moment: “I scaled a team from 3 to 20 in a year – including establishing the functions of User Research, Product Writing, and Brand Design. I did not expect to do that, nor did I think it was even possible. You never know until you actually try.”

Connie Yang is a Director of Design at Coinbase. Previously, she spent six years at Facebook as a Product Designer. Prior to that, she was a UI Director at Twist and PopCap Games, Art Director at ReignDesign and began her career as a Graphic Designer working in advertising. Connie holds a B.A. in Graphic Design and a minor in East Asian Studies from University of Pennsylvania. Follow her on Twitter at @conniecurious and her product design thoughts on Medium.

Erica Weiss Tjader – SurveyMonkey VP, Product Design

Erica’s Proudest Moment: “Landing this role as VP of Product Design at SurveyMonkey 2 years ago – not only because it’s a great opportunity with an amazing company, but also because this role represents a shift in my willingness to take risks, aim high, and flex my leadership muscles.”

Erica Weiss Tjader is a Vice President of Product Design at SurveyMonkey. Previously, she spent six years at Quantcast as the Director of Product Design, where she was responsible for building the design and research functions. Prior to that, she was an Interaction Designer and User Researcher at Move, eBay and Yahoo. Erica holds a B.S. in Cognitive Science and B.A. in Communication Studies from UCLA. Follow her on Twitter at @ericatjader and her product design thoughts on Medium.

Huda Idrees – Dot Health CEO

Huda Idrees is CEO at Dot Health. Prior to founding Dot Health, she was Chief Product Officer at Wealthsimple. Prior to Weathsimple, she was a Product Designer at Wave, an Interaction Designer at Shaken Media Collective, and an UX Designer at Wattpad. She began her career as a Web Developer. Huda holds a BASc. in Industrial Engineering from University of Toronto. Follow her on Twitter at @hidrees and her product design thoughts on Medium.

Irene Au – Khosla Design Partner

Irene’s Proudest Moment: “I had the honor and privilege to build the industry’s most influential and talented design teams over the last two decades. At Yahoo! and Google, we established the gold standard for user experience and design for the internet that continues to shape the profession in this industry today, and we elevated design’s strategic importance in both companies.”

Irene Au is a Design Partner at Khosla Ventures. Prior to Khosla, she was Vice President of Product at Udacity and build and ran design for all of Google and Yahoo! for many years. She began her career as an Interaction Designer at Netscape. Irene holds a M.S. in Mechanical and Industrial Engineering from the University of Illinois at Urbana-Champaign, and a B.S. in Electrical and Computer Engineering from the University of South Carolina. Follow her on Twitter at @ireneau and her product design thoughts on Medium.

Julie Zhuo – Facebook VP, Product Design

Julie’s Proudest Moment: “Helped Facebook scale from 8 million college students to billions of users worldwide.”

Julie Zhuo is a Vice President of Product Design at Facebook. She started as Facebook’s first intern in 2005, was hired as a product designer at Facebook, and has been working at Facebook for over a decade. She published in 2019 “The Making of a Manager: What to Do When Everyone Looks to You.” Julie holds a M.S. and B.S. in Computer Science from Stanford University. Follow her on Twitter at @joulee and her product design thoughts on Medium.

Katie Dill – Lyft VP, Product Design

Katie’s Proudest Moment: “My great achievement and greatest joy has been the teams I have had the pleasure to build at Lyft and Airbnb. Great things come from great teams, and my focus as a leader has been finding just the right mix of folks that can come together as one to build lasting change. A strong culture full of people that inspire each other and elevate each other’s work is the best thing I have ever built.”

Katie Dill is a Vice President of Product Design at Lyft. Prior to Lyft, Katie was at Airbnb as a Director of Experience Design. Prior to that, Katie worked at frog design for five years, where she began her career as a Design Analyst. Katie holds a B.S. in Industrial Design from Art Center College of Design, and a B.A. in History from Colgate University. Follow her on Twitter at @lil_dill and her product design thoughts on Medium.

Kim Lenox – Zendesk VP, Product Design

Kim’s Proudest Moment: “I have had the privilege to nurture a number of burgeoning designers into design leaders. Seeing how they grow their careers, take new leadership roles and bring their own contribution back to the design community is one of my fondest rewards as a design leader.”

Kim Lenox is a Vice President of Product Design at Zendesk. Prior to Zendesk, she was a Director of Product Design at LinkedIn. Prior to that, she was a Senior Manager of Interaction Design at HP Palm. She has held a number of roles in research, interaction design and UX Design, and has consulted and freelanced. Kim holds a B.F.A. in Photography from San Jose State University. Follow her on Twitter at @uxkim and her product design thoughts on Medium.

Kim Williams – Indeed Senior Director, UX Core

Kim’s Proudest Moment: “I have had the honor of orchestrating Design and Brand Systems teams at brands that focus on connection. First at eBay, and now at Indeed, where I am proud to be building a team of talented product designers, technologists, and creatives. My team inspires and challenges me daily, as we work on creating experiences that further empower job seekers during their job search.”

Kim Williams is a Senior Director of UX Core at Indeed. Prior to Indeed, she was at eBay for two years, working in roles from Head of Brand Systems to Creative Director for eBay’s human interface group. Prior to eBay, she was as a Creative Director for Oglivy & Mather, Serious-Gaming Agency, and Weber Shandwick. She began her career as a Designer for consumer goods companies. Kim holds a BFA in Visual Communications with an emphasis in Graphic Design. Follow her on Twitter at @kimwms_.

May-Li Khoe – Khan Academy VP, Design

May-Li’s Proudest Moment: “Despite having worked on so much of Apple’s product line and have a pile of patents as a result, I’m proudest of putting pink hearts and technics 1200s into MacOS, and building a diverse & inclusive kickass design team at Khan Academy.”

May-Li Khoe is a VP of Design at Khan Academy. Prior to Khan Academy, she was at Apple for over seven years, working in roles from Interaction Designer to Senior Product Design Lead. She began her career at IBM as a Research Assistant for three years, and was at MIT Media Lab as an Undergraduate Research Assistant for three years. May-Li holds both M.Eng and S.B. in Computer Science and Electrical Engineering from MIT. Follow her on Twitter at @kayli and her product design thoughts at Medium.

Ratna Desai – Netflix Director, Product Design

Ratna’s Proudest Moment: “My greatest achievement has been to build diverse teams and create the conditions necessary for design to live alongside technology and business strategy. Both at Netflix and Google, I was able to connect individuals to the right opportunities within very different organizational cultures. The key has been to lead with authenticity and adapt my approach to complement the culture and design’s relationship to other functions. The successes have come when open-minded, passionate and hardworking teams selflessly collaborate to do their most meaningful work. I’ve had the privilege of witnessing the best product ideas thrive, transform industries and shape society.”

Ratna Desai is a Director of Product Design at Netflix. Prior to Netflix, she was at Google for four years leading multidisciplinary UX design teams. Prior to that, Ratna was at frog design for six years as a Creative Director, an Art Director at Gap and Korn Ferry, and began her career as a Marketing Associate at the Wall Street Journal. Ratna holds a B.S. in Graphic Design and B.A. in Rhetoric & Communication from UC Davis. Follow her on Twitter at @RatnaDesai1.

Susan Dybbs – Collective Health VP Product & Design

Susan Dybbs is a Vice President of Product & Design at Collective Health. Prior to Collective Health, she was at Cooper for four years leading the interaction design team as Managing Director. Prior to that, Susan lead UX consulting for a few years. She began her career as an User Interface Designer at Microsoft. Susan holds a M.D. in Interaction Design from Carnegie Mellon University and a B.A. in Design, Urban Studies, Psychology from New York University. Follow her on Twitter at @dybbsy and her product design thoughts on Medium.

Product Designers – We Want To Hear From You!

Tell us about your Product Design experience, resources, and nominations!

Thanks to Samihah Azim, Women Talk Design, and Latinx Who Design.

Stay up-to-date with Girl Geek X! To get notified of future events and news, join our mailing list!

You can also follow us on LinkedIn, Facebook, Twitter, YouTube, and Instagram.

Girl Geek X Poshmark Lightning Talks & Panel (Video + Transcript)

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Tracy Sun speaking

Co-Founder and SVP of New Markets Tracy Sun welcomes the crowd to the Poshmark Girl Geek Dinner in Redwood City, California. The stylish evening’s theme: “people-powered innovation”.

Speakers:
Tracy Sun / Co-Founder & Senior Vice President of New Markets / Poshmark
Barkha Saxena / Chief Data Officer / Poshmark
Vanessa Wong / Senior Director, Product Management / Poshmark
Angela Buckmaster / Associate Director, Community Operations / Poshmark
Camille Forde / Senior Manager, New Markets / Poshmark
Adrienne Hamrah / Software Engineer, Cloud Platform / Poshmark

Transcript of Poshmark Girl Geek Dinner – Lightning Talks & Panel:

Tracy Sun: So I’m here, I get to kick us off. And so after welcoming you, welcome again. What I’m going to do is tell you a little bit about me. I’ll do that pretty fast and then share what people-powered innovation means and why we chose that to be the theme of the evening. And then we’ll just kick it out to all of the amazing speakers that you’ll hear tonight. I believe there’s six women that will talk to you tonight about who they are, what they do.

Tracy Sun: When we talked to the panels, everyone wanted to share a tip that they’ve done or something they’ve done in their career that they really wanted to share with the group. So we’ll talk a little bit about tips and try to have a whole bunch of fun doing so. So to kick it off. My name’s Tracy. I’m one of the co-founders and I head up a new department at Poshmark we’re calling New Markets.

Tracy Sun: My background, I grew up in the East Coast. I’m still kind of an East Coast person, but getting more and more West Coast as the years go by. I started in science. I was a science geek. I loved reading about brain and behavior. I moved into fashion pretty early on because I loved building brands and obviously now, I’m in technology. So my one thing I wanted to share with all of you is you can switch industries. I get this question a lot. It’s hard. So you have to really want to do it, but if you want to do it, you can do it. And I’m happy to answer questions later about some tips on how.

Tracy Sun: But the first I’d say is you can do it and you have to believe in yourself. And I’ve done it twice and who knows what happens to me. I’m still pretty young and have a lot to look forward to. So now about the theme of the evening, people-powered innovation. The reason that this is the theme is this is Poshmark’s superpower. What I mean by this is this is the one thing we do that we think we do better than anyone else.

Tracy Sun: And we wanted to share with you how we’re thinking about it and what we mean by it. Because I think that maybe you can take some of that into your own lives or into your own careers or how you think about innovation. It might inspire you a little bit. So that’s why we’re choosing the theme is just really talk about our strengths and the things that we’re really proud of. So people-powered innovation to us means three things.

Tracy Sun: The first is, and then video kind of alludes to all three of them. The first is we built our entire business off of people. We call ourselves a social commerce platform. And what that means is we take people and we insert them into all the important parts of commerce. We think that all of us have stories to tell. We tell them differently. That’s part of the beauty of photos and words and stories. So we want to put that back into commerce. We think that there’s more to selling a dress than seeing it on a hanger at a store. So how did she style it? How did she feel when she was wearing it? Things like that. We think that’s really important.

Tracy Sun: So we put people back into the conversation of commerce and then we build an entire platform around this so that people, anyone, any one of you, it sounds like we have some poshers in the room, but really anyone in the world can become a seller, no matter what your experience, how much money you have, whether you’ve done it before or not. All those things are irrelevant. Anyone can be a seller. And so what we see now is we have 40 million registered users. About 6 million of them have become sellers. Meaning we’re one of the largest selling networks in the world.

Tracy Sun: So raise your hand if you’re a Poshmark seller here. Congratulations. You’re one of 6 million people in the US that are selling on Poshmark, including a lot of us here. So congratulations. So that’s number one. The second thing is you can’t build a people-powered platform without the people. So the second thing we did is we built a community. And what that means is we focused day one on really taking a look at our users and doing everything we can to support them and so saying, we are behind you to help you build your business and we encourage our community to talk to one another in case we can’t be there to support you, support each other.

Tracy Sun: And so not only does that happen in physical venues like this, but it happens in events that we hold like in our app. So a mobile event and it happens in the conversations when you’re on Poshmark and then it happens offline as well. So a lot of times we’ll see Poshmark users talk to one another, they met on the app and then they talk to one another in real life. And that to me is one of the most beautiful things about why I love coming to work every day. It also reflects in a lot of our business metrics too.

Tracy Sun: So, for example, every day a Poshmark user spends 30 minutes on Poshmark. And for those of you in commerce who think about these kinds of metrics and maybe some of you are not in commerce that think about these kinds of metrics, that’s unheard of for commerce. People don’t spend 30 minutes talking about shopping elsewhere and maybe nowhere. So people are not just talking about transactions on Poshmark, they’re also talking to each other as human beings. And that’s where we like to spend our time. That’s how we find extra minutes in the day when we’ve had a long day is to have a human connection.

Tracy Sun: And so, in so many ways, we feel like we’ve built a really large marketplace and a really large platform but also a really large place for people to come and to connect with people, either that they know really well or that they’re meeting for the first time. So that’s the second piece. And then the third is Team Posh. So there’s some of us here tonight. Team Posh is really all we have. We don’t hold any inventory. It’s all people. And then a lot of code that happens and a lot of packages shipped around but there’s 400 or so people that are part of Poshmark that really make everything go round.

Tracy Sun: So we spent a lot of time thinking about how we can innovate in this realm and really keep people happy and motivated, creative. And eight years into the business still feel like they’re learning new things every day. And so I’m really excited to kick this off. We have five people coming up to share their story, get into some specifics about the innovation that they’re seeing and the stories that they have. So with that, I’d like to bring up our next speaker. Can I go ahead? I’m going to go ahead and do it. Okay. So our next speaker is Barkha and she’s our Chief Data Officer here and officially one of the coolest women at Poshmark.

Barkha Saxena speaking

Chief Data Officer Barkha Saxena talks about being a data geek, and working with mobile, social, and commerce data, at Poshmark Girl Geek Dinner.

Barkha Saxena: Thank you, Tracy. Hi, everyone. Is everyone having fun? I was telling Tracy that I’m always bummed when I go after her. She’s such a fascinating speaker. So I’m basically making sure that nobody has very high expectation. I’m going after Tracy. So just about a little bit about myself. I’m Barkha Saxena. I’m Chief Data Officer at Poshmark. I’ve been here for five years. But somebody was asking me, I was talking to them, hey, this whole data thing didn’t exist 10 years ago so what did you do then? I was like, yeah, it’s true. This whole world data service didn’t exist but I had been literally doing this. This was my first job out of college.

Barkha Saxena: I studied statistics. Numbers is what I have known my entire life. I spent my first 10 years at a company named FICO. I was a data scientist there. I started as an individual contributor, moved into management role and then I spent some time in product management, sales, and corporate strategy. After that, I spent a couple of years in advertising industry, still focused on the data, building data products for advertising. And then I had my second child and I thought I would take a little bit break. And like in two weeks break time, my husband, someday one day comes and he says, hey, I heard about this really cool startup. They had these virtual parties which is called posh party and I think you should go and meet with them.

Barkha Saxena: And I was like, okay, it doesn’t hurt to meet. So I found a connection to Manish and I met with Manish and Manish said we had some conversation and then he said, “Hey, you should come and meet with Tracy.” You just met with Tracy. Once you talked to Tracy. There is no going back. So here I am, five and a half years ago, I joined Poshmark, still here and having a lot of fun. When I joined Poshmark, it was really the driving factor was people. I met with Manish, Tracy, Chetan, Gautam, our founding team. And honestly, it had been a long time.

Barkha Saxena: Like being in the tech sector, I had not met so many smart but super humble people. And then from being a data geek, this aspect of I’m going to be working with mobile, social, and commerce data. It can’t get any better than that. What I didn’t understand at that time was when you are putting this social and the commerce together, it’s a totally different beast than just thinking about the social network and just thinking about the commerce. So Tracy explained the social commerce from the vision perspective but I’m a data person. So I have to understand it from the data angle.

Barkha Saxena: So how did I understand the social commerce? And how I started to understand it’s really not putting two plus two, four. Really getting them together is we are making two plus two, seven. And the way it works is from the data perspective, when you are selling, what are your goals? You want to acquire users who will come and buy stuff. So at Poshmark, you build your follower network, you follow people, they follow you. And by that way, you are basically finding out the impact, the people who are going to see your merchandise.

Barkha Saxena: Then how do you market inventory? So there is a whole aspect of sharing which happens in the platform. Everyone who is successful in selling at Poshmark knows that you cannot be successful if you’re not sharing. So you’re engaged in sharing, not just your item but you also share other people’s items. Because when you share somebody else, they will share yours and you are basically just expanding the network of the people with whom you’re sharing your item. So you market your items, but then after that, you have to close the deal. How do you close the deal?

Barkha Saxena: You have to engage with your buyers in conversations. So their conversations happen in their platform around fit, style, color, and then Poshmark has built all these tools in the service of community to which you send out offers in a very personal, personalized manner to all these buyers. And that’s how you close the deal. So sellers are very vested in being social in the platform because at Poshmark that gives them an advantage to drive the more social you are, the more successful you will be. Now from the buyer’s perspective, the reason you want to be so socially engaged because when you follow people, it’s exposing you to a larger and larger merchandise which means you are looking at so many items from where you can buy.

Barkha Saxena: So you are getting exposed to the styles of different people. You engage with the seller because you want to be able to understand the merchandise beyond what just the description is telling. If you think of the reason the whole social commerce exists because just in reflecting back, the 15–people who are a little bit older. If you think of the way the commerce was done like 15, 20 years ago. I grew up in India and a lot of time when we went for shopping, we will just go back to those limited number of shops. But it was fine to go because you will go and talk to the person who is selling and that person will know which grade you are in, what you’re doing, what’s happening at your home. And it was fun in those conversations.

Barkha Saxena: As commerce became very efficient with the e-commerce and access a lot of inventory and fast shipping. It was all very efficient but it took the fun away of that personal conversation. And what we have learned at Poshmark is people actually like to connect and talk to each other. So buyers, when they engage with sellers in the conversation on hey, will this dress look good on me or like because the same dress size can be different in different [inaudible]. How do you figure it out it really fits you? So you engage in that conversation and you’re figuring out.

Barkha Saxena: Buyers do a lot of liking activity in the platform and that’s because by doing like you are creating this sort of your wishlist of the items you want to buy. By doing the activity, you’re also building the connections with the seller. So when seller is ready to make an offer, there is a way for seller to reach out to you. So that’s how like when I started looking at social commerce and the numbers started to explain why the social is truly driving the commerce. It wasn’t just hey, we got a commerce, they come less to the social. This is the genius of the founding team who built this amazing platform.

Barkha Saxena: Social is so integrated with the commerce that the two actually drive each other and that is what has gained given us such a unique advantage that we didn’t just try to bring the two pieces together. We built them interlinked from the day one and then you build that kind of platform with the types of numbers Tracy was sharing, like 40 million users and 5-6 million sellers stylist, 18 million shares per day. Think of the amount of data we are collecting. Like we have 30 plus terabytes of data, 400 plus million events logged every day. You leave a data team in that kind of environment. It’s like the wonderland for people.

Barkha Saxena: So my team is so excited. It’s a cross-functional thing. We work with multiple teams and we are solving problems that cross the aisle. From working with the marketing team on different types of users. That question problem. Working with Leanne’s team and helping out how we can serve our community better. Working with Tracy’s team and figuring out how can we help them launch market. There’s so many problems teams are solving, they get to work with humongous amount of data. They get to use different types of data technology and the tools to build out the solutions which creates business value for our community.

Barkha Saxena: And just to bring it back to I’m very lucky to have such a fantastic team which is just building all these awesome solutions. But the reason all of us are so engaged in doing all this wonderful work, going back to what Tracy said, this is just a wonderful place to be. The people are–I don’t know how many have notice our core values. I have worked at multiple places. This is the first place where I would say we actually live by our cultural value. We focus on people, truly on people. You heard Tracy. The whole conversation is started on people. We lead with love. We trust each other. We believe in supporting each other.

Barkha Saxena: We embrace all the weirdness. That is one of the core value. Honestly, even I use it in my personal life. Like when you start to accept people for what they are, life just becomes simple. And then together we go. So we are so vested in each other’s goal that it just makes this place, this beautiful place. With that, let me invite… Can I invite? More wonderful people that you guys can meet with. Okay, thank you.

Tracy Sun, Adrienne Hamrah, Camille Ford, Vanessa Wong, Angela Buckmaster

Poshmark girl geeks: Tracy Sun (speaking, right) moderates a panel discussion with Adrienne Hamrah, Camille Ford, Vanessa Wong, and Angela Buckmaster introducing themselves at Poshmark Girl Geek Dinner.

Tracy Sun: Sorry, I’m just trying to make them nervous. We’re just going to get excited, get loose. Let’s go. So first question, can you introduce yourself a little bit about what you do at Poshmark? So everyone has context of all the amazing things you’re going to say after that.

Angela Buckmaster: Yes. Microphone on. Okay. Hi, I am Angela. And as Claire mentioned, I am the Associate Community Operations Director. And so my team works under the Community umbrella and what we do is actually support all other areas of the community team through data analytics, product knowledge, and training.

Vanessa Wong: Hi, I’m Vanessa. I’m senior director in the product team and I run the core experiences team. And when I say core experience, what it means is the buying, the selling, the social interaction, working with our power sellers, our new sellers, any international expansion. And then also like market expansion as well.

Camille Ford: Hi, everyone. My name is Camille Ford. I work on the new markets team and the markets team is really focused on driving expansion into new business areas. So what that looks like could be developing a new category, launching multiple markets within the product alongside Vanessa’s team or expanding into new departments as well.

Adrienne Hamrah speaking

Software Engineer Adrienne Hamrah talks about innovation at Poshmark Girl Geek Dinner.

Adrienne Hamrah: Hi, everyone. I’m Adrienne. I’m a software engineer on the growth team. What does that mean? I basically work on projects to bring in new users to our platform. Whether that’s like an influencer project or just any like fun new things, new features.

Tracy Sun: So I know it was pretty fun to hear from me and Barkha but these ladies have the real stories that you want to hear about. As I was hearing earlier about what you guys wanted to share. I just thought it was great content to share with this group here. So no pressure. So we talked a lot about… Sorry, I’m being really goofy. It was a crazy day today. We talked a lot about innovation. And I kind of talked about it at high level, Barkha talked about it at high level. Can you guys really bring it home? Like what does innovation look like to your day to day?

Tracy Sun: Is there an example of something you’ve done recently, for example, that you think it was just a really cool project to work on because it involved innovation and, or something around people? I think that would be great for everyone to hear. Who wants to go first? Adrienne, you want to go? We’ll go backwards.

Adrienne Hamrah: So a good example of innovation was we basically wanted to bring the influencers I work with on Instagram, Facebook, YouTube, etcetera. We wanted to bring them onto our own platform rather than going through a third party. So that was my first project, starting from helping the product manager all the way to doing the tech spec and actually executing on the code. And one example of innovation is in order to like see the level of influence someone has, we have to have some sort of metric so we know how much to pay them for, for posting on Instagram, for example.

Adrienne Hamrah: And instead of going through their API because there was a lot of stuff going on Instagram and they’re saying they were taking away their API, we decided to actually just use the HTML code and get their stats that way. So I think that was a really fun example. Because the first thing, if you’re familiar with software, the first thing you usually do when you talk to different companies, is you go through their API. And we decided to just bypass that completely.

Camille Forde speaking

Senior Manager of New Markets Camille Forde talks about markets and using technology and social as tools at Poshmark Girl Geek Dinner.

Camille Ford: So the innovation question’s interesting because I feel like throughout my career I’ve always tried to think about how can I do something different? But at Poshmark, I feel like that question gets tipped a little bit. It’s how can we do things differently using social as a tool, using a technology as a tool. And so I feel like working on markets for the past six months is a really good example of that. And so markets themselves are just easy experiences within the product that make it easier for people to connect, sell, and shop by what’s important to them.

Camille Ford: And in many ways, it’s just a layer on top of Poshmark’s existing platform, but really digs into the social piece, which is, brings it back to people, I think at the end of the day. And so for me, even working on markets and figuring out like how can we get people to shopping experiences that are relevant? It’s almost like this backwards thing where through markets we’re now enabling people to shop the way that they used to shop.

Camille Ford: So if I only wanted to shop luxury and I want to go into a luxury store and I want that like real-time feedback on a certain thing, I can get that through the luxury market on Poshmark. And so to me, this is like an interesting full circle view of innovation around how can we use the tools that we have to kind of bring it back to its core. And so just working on launching markets over the past six months, I think now we have roughly 25-ish markets has been an interesting experience for me with regards to innovation.

Vanessa Wong: So, many years ago, we launched a feature called Offer. And what that feature is, I don’t know if any of you… Has anyone used it? Raise your hand if you’ve used that feature on Poshmark? So it really mimics normal behavior. You’re there like, think about the olden times. You’d go barter and negotiate. And we kind of bring that to life in the app. So what we did last year is we launched a feature called Offer to Liker. Has anyone ever liked an item on Poshmark? Has anyone had a listing and gotten likes on Poshmark? Yeah.

Vanessa Wong: So it’s an amazing feeling. You know that these people are really interested in your product. And so you’re getting all this love for this product. And so we thought why don’t we use that energy to the seller and help them. So what we launched is Offer to Liker and where you can give a private discount to the people that like your item. And that’s been amazingly successful for us. We’ve just used kind of normal behavior and we’ve used that organic behavior and we’ve amplified that through our product.

Angela Buckmaster: Awesome. So I’m kind of echoing some of the things that you’ve heard. Poshmark is a social commerce platform. And so on the app, people are commenting and communicating with each other on listings. They’re liking. They’re communicating and building bonds with each other through buying and selling. And so from the very early days of Poshmark, we actually saw that these users, these poshers, were, as Tracy mentioned, getting together outside of the app, as well, very organically and just meeting up.

Angela Buckmaster: There’s actually a term that has been coined for someone that’s a friend that you meet on Poshmark that is PFF which is Posh Friend Forever. And so, as you can tell, these bonds are lifelong. And so we saw this and we thought, okay, this is really, again, the lifeblood of Poshmark. We are all about the people and spreading the love. And that’s the only reason all of us are here today. So we came up with a type of event called a Posh N Sip. And the Posh N Sip is a posher-led event.

Angela Buckmaster: And these poshers are finding the venues. They are inviting their friends, their family, their PFFs, to get together and not only talk about Poshmark but also just build upon these bonds. And make more connections and really grow and empower each other. And so I think, to me, that’s something that’s super exciting because we get to see them meet all over the country and just get together and just kind of continue what they have on the app but in the physical world as well.

Tracy Sun: Okay, great. So we talked a lot about innovation and if you guys want any more, feel free to ask. They’ve all agreed to stay for the Q&A so you can’t leave. We’re doing a Q&A right here and then after if you have questions that you want to do in private. Now I want to talk about you as people. You have so much experience that I think is so interesting. It was really interesting to me to hear it. I think it’d be really interesting to everyone else in the room mostly because we’re all so different. Our stories are all so different.

Tracy Sun: And so can you share a little bit about how you got to Poshmark and if there is, and with that, is there anything you did along the way that kind of helped you get into the role or any tip you have? I imagine anyone, here either now or in the future, might be looking to make a change in their job, for example. So if you have any tips on that or you might want to have a job. So if you have a job are they any tips on how to be successful. It’s just you are four really successful women. And then I think I’d like to give a little bit of the floor to that. You want to start, Angela?

Angela Buckmaster: Yeah. Awesome. So I actually have been at Poshmark for a little over six years now. And so I found Poshmark through a friend who still works here. We were friends through middle school and high school, and she heard that I had graduated college and was looking for my first big girl job. And she was on a community team here and said, hey, you should come interview. So I did. And at the time, we had basically one role, which was community associate. And through that, we wore a lot of different hats, as is typical at a startup. And from there, we kind of started to build into different teams.

Angela Buckmaster: And so from there, I moved into the support team. It’s still under the community umbrella and I did some management for a couple of years. And through that, I noticed that I started having and more of an interest in our KPIs and our SLAs. And I wanted to know why are they the way they are. How can we make them better and to really understand them on a deeper level. And so I started speaking to my manager and Leanne, our SVP, and just letting them know I’m really interested in this. I would love to move into more of a data-driven role.

Angela Buckmaster: The time wasn’t right, right at that moment. But I kept telling them and I kept trying to get into projects that I could kind of dip my toes into the analytics area until the day came when Leanne approached me and she said, “Okay, the role’s here, let’s do it.” So I happily went to that more of an analytics role on the community team which was awesome. I got to stay with my community family and did that for about a year.

Angela Buckmaster: And then Leanne approached me with another opportunity and said, “Hey, let’s build out this team.” So now I have the three areas. I have a data analytics team, a product knowledge team, and a training team. And so I’ve learned a lot over six years. I’ve learned that you can’t just keep your dreams to yourself. I think something I really believe is whatever you think about and you talk about all the time is what you are or what you will become. And so I was very open and I kept telling people about my dream and I truly believe that that’s why it happened. Because if you don’t speak up, no one knows. So if that’s my little tip, I would encourage you all to just be very open about your passions and your dreams.

Tracy Sun: That’s so amazing that, Angela, you knew your dream and then went and told your boss. That’s so vulnerable. It’s so scary. Has anyone here done that? Told your boss you want a different job or you want a different you know. Anyone who wants to do that? Just kidding. I love my job. I was just trying to get people… So if you’re one of the people raising your hand, come talk to her. Because she did it and sounds like it worked out for her. So, Vanessa, you want to go?

Vanessa Wong speaking

Senior Director of Product Management Vanessa Wong talks about her journey in product management, and moving on up, at Poshmark Girl Geek Dinner.

Vanessa Wong: Cool. So when I graduated college, the economy wasn’t great and I was just applying jobs everywhere. I was hanging out with my unemployed friends. It was really fun, but my parents were like you need a job. And me being a geek, like many of you guys, I saw a job posting. I don’t know if you guys have heard of CNET? They review electronics and I love electronics. They do a lot of cool tech stuff. It’s in San Francisco. Super fun. And I got a job there. Just amazing. And it’s at a big company. It’s like, “Wow, that’s really cool.”

Vanessa Wong: But I started my job and I was really bored. It was just something, yeah, it was a job, but it wasn’t something fulfilling. But then I got immersed and started talking to people and I got involved in helping building tools for that team with engineering. I was kind of doing product management for the backend tools but I wanted something more. So like Angela, I actually went up to my VP and very–more like a “Hey, this is something I’m already doing. What can I do next?” Like, “How do I prepare myself? Do you have advice for me? Do you have input?”

Vanessa Wong: And he was very open and receptive and pretty much immediately he was like, let’s craft a role for you, which was amazing. I did not expect that. I came to kind of talk to him, building a case, not sure what would happen. I definitely was really scared, but he was very receptive and I got the role as a project manager to help build internal tools. But deep down, I really wanted to work on the user side. So I was building tools for the shopping team. So that was my kind of first step into shopping which kind of leads to where I am at now.

Vanessa Wong: And so then I was in that role for maybe about a year and then internal opening opened to be a PM for CNET shopping and CNETshopper.com and I applied. And what was great about the people at CNET is that they were so supportive. My manager was like, “Hey, yeah, go, go talk to that hiring manager.” And we were able to work through and I was able to transfer into that role. And then I was there for several years and then it kind of leads me to Poshmark where my then boyfriend was like, “Hey, there’s this job opening at this company called Kaboodle.”

Vanessa Wong: And Kaboodle is our CEO, Manish Chandra’s, first company that he started. And I just applied. I was like, okay, this seems pretty cool. I’m already doing something in shopping. This is social shopping. This is pretty new then. And then I applied and I wasn’t sure about this whole thing because it was still pretty new. Social shopping was a pretty new concept back in the day. And then I applied and then worked there for several years. I went on with my journey in product management to many different companies.

Vanessa Wong: And then I had kept a close relationship with Manish and he’s always been my mentor. And then one day he’s like, “Hey, what about joining Poshmark?” And I was like, “Yeah, of course.” This seems natural to work with people you really trust and you really admire. But coming full circle back to my role now, just a couple of weeks ago, someone on my team, she came up to me and she kind of did the same thing that me and Angela did.

Vanessa Wong: She’s like, “Hey, I love what I’m doing but I want more. Can I talk to you about it?” I’m like, “Yes.” She’s like, so the first thing she said was, “Sorry, if I’m being aggressive,” and I stopped her right there. I was like, “You’re not being aggressive at all.” Like, “I welcome this. Please, please feel that you can do this any time. I’m here to help you fulfill your dreams.” So we’ve started this conversation and we’re really helping her where we’re going to really help chart her to her dream.

Tracy Sun: That’s amazing.

Camille Ford: I’m going to cry.

Tracy Sun: Yeah.

Camille Ford: Sitting next to her. So there really are some interesting themes here. I also graduated when the economy wasn’t doing so hot and I felt like, what is the responsible thing to do now? Go be an accountant. And so my team teases me now because I call myself a recovering accountant because that’s exactly what I am. But I started my career about 10 years ago at PWC. It felt like that was the right thing to do. That was the safe thing to do. I had student debt, but it was like not the right thing for me at all. In about a couple of years into doing that, after I felt like I had a good foundation around financial services. I was auditing at the time, mainly VC funds and private equity funds.

Camille Ford: I also then went to my boss and said, I’m not happy. Like, I like it here. I like the people, I like the culture, but I don’t like the work that I’m doing. And I feel like there’s a part of my brain that’s withering away because I’m not doing anything creative. And they helped me, they helped me find a new role. And so I moved into a marketing function where I felt like I could get some different functional expertise in something that felt like I would be able to still use the analytic side of my brain but also use the more creative side of my brain as well.

Camille Ford: And it was a really great learning experience. But after a little while, it also felt like, okay, what’s next? This isn’t quite enough. And so I made the decision to move from the East Coast. I was in Boston at the time, go Bruins, and I moved to the West Coast to attend business school. And I was really intentional about my time during the MBA to just like, one, unlearn all the stuff that I didn’t feel like was for me. Because I told myself, “You are an accountant. You are only the analytical person. Who are you to think that you can be creative? Who are you to think that you can find both of those things in one job and be happy? Who are you to think you can work in fashion at all?” And really opened myself up to the possibilities of what could be.

Camille Ford: And so I spent those two years just doing a lot of internships in fashion tech and just retail and trying to just learn everything I felt like I didn’t know. Interestingly enough, I had been a user of Poshmark for several years. Actually, before I moved for business school, I sold all my stuff on Poshmark, moving across the country. And it was right before I was about to graduate. I look around and a lot of my classmates have these fancy jobs. They’re all set. They’re enjoying all this traveling and here I am still recruiting up until the day of graduation.

Camille Ford: I’m looking at Danny back there because I got a call from the Poshmark recruiter on the day, the morning of my MBA graduation and I thought he was going to say, Camille, we have an offer for you. He didn’t. Instead, he’s like, “Camille, we don’t have something for you right now. But like we still want to stay in touch.” And that was a little heartbreaking, to be honest, going into graduation, but still stayed the course. And a week later which actually was on my 31st birthday got a call from Danny again and this time it was like Tracy’s ready to make you an offer.

Camille Ford: And I share that level of detail only to say that what got me through like, one, switching these functions, kind of keeping the momentum up when I felt like I wasn’t necessarily getting to the place that I wanted to be in the time that I wanted to be at, to get there, rather, is just this layer of tenacity. And just going after it and knowing that like you are totally worthy of whatever it is that you think that you can get. Because the opportunity might not present itself right now but it definitely will.

Camille Ford: And so just staying the course that you feel like is true and natural to you and not being nervous that like, “Hey, I’ve invested all these years in like financial services.” Like that’s what I’m an expert in. No, like, now I’m an expert in social commerce. Or I’m going to get there. So just being really honest with yourself and not giving up on yourself would be my best advice.

Adrienne Hamrah: That was amazing. So like everyone else, I also had a career change. I actually had four. So 10 years ago, I was in school. I was in structural engineering and undergrad and while I really liked like calculating forces and making sure things don’t fall down in buildings I ended up getting–

Tracy Sun: Me too, by the way.

Adrienne Hamrah: Yeah, it’s still like every time I drive over a bridge I’m like, I hope this bridge like doesn’t shake. That’s always in the back of my head. So I ended up actually taking a job in civil engineering with the city of San Francisco, interned there for public works. Really, really boring. I worked on sewers and sewers are very, very boring. They like fall apart every 100 years. There’s not much thinking involved. So I went back to school, got a masters in engineering management because I wanted to learn more about the business side, the people side of things.

Adrienne Hamrah: And then after that, I actually went to Verizon. I did a four-year rotation program and that was really, really cool. I got to do four different jobs in four years. Got really great training with executives, seeing how they run a really large company. But telecom was also very boring to me. It’s like there’s only so many cell phone towers I can design. They all look the same and not very challenging.

Adrienne Hamrah: So I shifted again, I decided to become a product manager, and luckily, a girl from high school was the recruiter at a really small startup of 55 people at the time. It was in the cancer research clinical trials space. And so that was really interesting to me because I actually was pre-med for a hot minute in college. So I was like, I’m going to go back to healthcare. As a PM, though, I was doing internal tools and I don’t think that was the right fit for me. And also, the management there was just a disaster.

Adrienne Hamrah: And I think the most important thing I learned out of that is it doesn’t matter how cool the space is or how cool you think the product is. If the people, if they’re not the right fit for you, then go. Because you’ll find someplace else better. So after going through that experience and even though I was like this is such a cool like company, I was like, this is not the right thing for me. So I walked away and then I decided to go into software, so I did a boot camp.

Adrienne Hamrah: It was a three-month boot camp, 100 hours every week of coding. It was the hardest thing I’ve had to do. Harder than structural engineering undergrad because it was all crammed into one. But I came out of it absolutely loving it. I met up with a girl at a new restaurant opening. She’s actually there, Christina. Because we do food influencing on the side. And so she was like, I work at this company called Poshmark. We’re always hiring. I’m sure we have software engineer openings. Why don’t you like look?

Adrienne Hamrah: And so I took a look. I decided to apply. She referred me and I just absolutely fell in love with the culture, the people first, and then it happens that the product is also something I love and I use as well. So it’s like best of both worlds. So I think my tip is, first, if it’s not the right fit for you, don’t be scared to move. For me, I moved four times, four different companies. But just don’t settle and just go for it.

Tracy Sun: Thank you for sharing your stories. You guys, can you give them all just a… Yeah. Amazing. So I’m going to ask one more question and then I think we’re going to open up to Q&A. So those of you who know me and there’s a lot of you in the room, I’m a huge believer in superpowers. So I just gave Poshmark a superpower, which is people-powered innovation. And what I mean by a superpower is that there’s typically one thing that you can do that you know you do better than everybody else. And if you’re lucky, it’s useful in your personal life or career, but it doesn’t have to be.

Tracy Sun: And so I think it’s really–sometimes you don’t know what it is and sometimes it can change but I think it’s really helpful to have that conversation with yourself. Like, what is my superpower? So that you can carry that with you and just know, no matter what, I can do one thing better than everybody else. And I think that’s great for confidence. So I wanted to–this is one of the questions I snuck in there so I’m not going to call on anyone. But if you want to volunteer and share with us your superpower, my hope is that if we share then if you don’t know what yours is maybe we can help pull it out of you by sharing what ours is.

Tracy Sun: So I’ll just start. I didn’t know this until a few years ago but I think one of my superpowers is that I’m really good at telling stories if I care. And I’m really bad at telling stories if I don’t care. And so going back to like career stuff, I have to do things that I care about because then I do my best work. So I think my superpower is, I’m a good storyteller. Anyone want to share?

Adrienne Hamrah: I don’t know if this is a superpower, but I can literally talk about food forever, which is like it’s how I got this job. It’s how I got the job before this one. It’s great because like this company loves food too. So it just worked out and I’m like a supertaster. So I’m just very sensitive to like ingredients as well. So I’m the kind of person sitting at the table and like asking the waiter like, “What exactly do you put in here?” “Oh, yeah, yeah, I did taste that.”

Camille Ford: That’s funny. My superpower? I would say that I’m really good at building relationships with people. Not like massive amounts of people, but if I like find my group, I can really build deep relationships with them and it certainly served me at work, given that the markets team needs a lot of other people to get things done. But it just played a big role in my life to be able to like put myself in other people’s shoes.

Camille Ford: And it’s funny because my friends tell me I’m a good listener. My mom tells me I was the worst listener as a child. So I’m not exactly sure how to reconcile that. But other than kind of going this back to this point around caring. For the people that are around me, I care a lot, and building relationships has been something that I found I’m pretty good at it.

Vanessa Wong: So for me, I don’t know if this is a superpower, but I think this applies to–how many moms are out there? Yeah. So I’m a mom to three young children. I have three girls. They’re all under the age of five so I have to multitask like crazy. My husband has a really busy job too and so I think that carries on into my work life and personal life. I became super efficient after I had my first child. I don’t know if that applies to you other moms too. So I would say a superpower that I have is just being able to manage multiple things, switching context here and there and just being able to switch gears on the fly and just to readjust and reassess and prioritize accordingly. So, yeah.

Angela Buckmaster: So I think my superpower is actually something that other people knew about me before I knew it about myself and that is that I will and can support anyone in anything they want to do. So when I was a kid, I was the kid in elementary school who would get put in groups with like the trouble kids because I’d be so patient and supportive but I could like help the group get to the group project and get through it. And so for a lot of years though, I didn’t really realize this about myself and people are like, you should be a teacher, you should do this, you should do that.

Angela Buckmaster: And I always was like, “Oh, what’s my skill? What’s my thing?” And then actually being here at Poshmark and noticing kind of the roles I drifted towards and the people that I drifted towards, I kind of drifted towards the natural leaders because I wanted to support them and empower them. And I found eventually by spending a lot of time looking inside that that’s actually something I enjoy and I’m really good at. So I would say that’s my, my superpower.

Tracy Sun: Thank you guys for sharing. Let’s open it up for Q&A. If you have questions, I don’t know what to do. If you have questions, the mic is coming around. Raise your hand. Barkha, do you want to come up here? You’re fair game for questions. Thank you.

Speaker 12: Thank you. Thank you for sharing. I have two questions, so you can answer either or. One question I have is just about how you try to maintain the company culture as you grow into a larger company eventually over time? The other question I’m curious about is how you use innovation to stay ahead of your competitors? Who are your competitors?

Tracy Sun: Angela, you want to take those questions?

Angela Buckmaster: Yeah. So the first question about culture. I think for us, like you said, we’re scaling so much, so rapidly, not only internally, but externally. And so we have to think about both. And tying back into something I said earlier, I think that the way that we make sure that we continue to scale our culture is to make sure our culture is top of mind. Because again, if you think about it, if you talk about it, if you embrace it, it’s only going to get better. And you can never forget about it. So doing things like making sure we stay in touch with both our internal and external community all the time. Even at the company here.

Angela Buckmaster: So when I started six years ago, we were in one room and I knew everyone, I knew what they ate for dinner the night before. And now that we’re spread out and we’re on two different floors, it is a little bit harder, but you have to remember that we are all working together towards the same goals. So we talk to each other a lot. I can still go up to anyone in the company and talk to them about anything that’s happening inside or outside of the app. So I think again, just keeping it top of mind and always trying to think of how can we do this better has made us be able to scale our culture with the company.

Vanessa Wong: Yeah. Actually, I’ll do the first one too and I could go a little into the second one. So for our product features whenever we build something, we look at what our values are and we always make sure they’re rooted in there. So our CEO is really into love. I don’t know if you’ve guys have… You should catch some of his videos on YouTube but he always says something where you lead with love and with love comes money. And we use that a lot in our product thinking. We have a like, which is a heart, but we don’t have like a hate or dislike. Like how Facebook has different reactions.

Vanessa Wong: We always–everything is really positive. Everything is really transparent. And that goes along with a lot of our company culture as well. Everything is transparent. You can voice your opinion. You know what’s going on at our all hands–all the information is kind of disseminated into everyone. So that’s kind of how we look at when we’re developing products. As far as our competitors, yeah, we’re always checking them out. They’re always doing cool and unique things.

Vanessa Wong: But again, I think because we’re so different. We have like the largest community, social community out there. We have to take a little different angle. We can’t be like an eBay. They’re very different than us and whatever–let’s say we do something similar to them, it may not work for us. So we’re always on the lookout, but we always search within of like what would really help our sellers stylists? As people, they’ve started their own businesses on Poshmark. How can we empower them and how can we help them grow? You’ll be good…

Tracy Sun: No, no, no, no. She’s all right. I was going to echo.

Speaker: Do you have another question? Otherwise, we can keep going. All right there. Is there a mic?

Audience Member: Hi. I have a question about user feedback. How do you gather that and how do you incorporate that into the product development and innovation?

Angela Buckmaster: You can maybe onto that.

Vanessa Wong: So I actually work with people like Angela and we meet with the community team very often. I look at our Facebook groups and we talk to our users. We go to Posh Fest and we’re very connected to our users and we hear what’s going on and we incorporate that into our product roadmap. There are things that our users may request but they may not fit in. They might think that that is the solutions for them. But when we internally talk about these things, we think one step further is like, is that really helping? That might be one thing but we have a larger plan and larger vision for them.

Vanessa Wong: And I think one of the coolest things that I’ve done at Poshmark is each year, we have an annual get-together with our seller stylists called Posh Fest. And I’ve been very fortunate the last couple of years to kind of announce what we did for our hackathon. And so what we did is we had users submit things that they’ve want in the app and we get like, I don’t know, thousands and thousands of requests. And they’re like the spreadsheet is crazy.

Vanessa Wong: But I love looking at it each year because I’m like, “Oh, this is what they’re interested. This is what they’re passionate about.” And so, for example, last year we were able to rehaul our newsfeed and this is something that the users have wanted for so long and they were so excited about it. Another killer feature that we launched was they’d been always wanting a draft listing and so we were able to launch that. So that was really amazing.

Speaker: I think we have a question over here.

Audience Member: Thank you, everybody. I’m actually a Poshmark buyer, especially. I’ve been seller but buying more than selling. And so a question I have for you that I’ve noticed is that there is a very distinct culture within Poshmark. And I was wondering, how do you ensure that positive culture and thinking when like cybersecurity issues or bullying issues and things like that online considering there’s 40 million users, how do you use data or how do you think about the product or how do you build the communities to be able to continue that very specific type of culture that’s already been there? And especially around Cybersecurity anti-bullying.

Tracy Sun: So I’ll start and then Barkha, if you have anything to add, let me know. So we get this form of question quite a bit. And the first thing I’d say is it’s really hard to fake a value. So when you talk about the values that are our unique community, I’d say that comes from what we want and it’s a little bit of the world that we wish we had before we had Poshmark. We live it here at headquarters and it’s, we intentionally said let’s also build it into the user experience and also to our community.

Tracy Sun: And it’s really hard to fake that because you almost have to be a little bit crazy about it and not know you’re crazy. And in that way then you just naturally start to act in a way that’s according to your values and it becomes stronger and stronger. So what we did is we talked a lot to Angela’s point. We knew people were important to us. We knew culture is important to not just culture here, culture in our app, in our community. So we had that top of mind and built everything with that in mind.

Tracy Sun: And there are some times where we said this would make sense to make more money. But this doesn’t make sense if we want to be empowering to our sellers. And so we had our North Star and we chose that path. And so if you know what your North Star is and for us, it’s our people, then it’s easier to make those decisions when those crazy moments happen and you’re panicked and you don’t know exactly what to do. I don’t know if I can answer anything about cybersecurity. Can you? Where is Chetan?

Barkha Saxena: Or Gautam.

Tracy Sun: Or Gautam?

Barkha Saxena: Well, the only thing I would say is we also rely on our community to help with that. That’s the power of this community who is very passionate. For them, Poshmark is not just a product. It’s their own thing. So they really help us with that too. Like there’s lot of comment reporting, a lot of reporting that happens which goes to Angela team and of course, you have to look at it like the… You can report anything. But that’s where their team has the expertise in knowing like how to do it. But I think it’s our community who is actually allowing us to scale more than I would say the data in this case.

Speaker: We’ll take a few more questions.

Audience Member:  Thank you. And thank you guys so much for volunteering your time to talk to us today. My question is around branding, especially when starting a company and starting a venture, especially social like Poshmart. How did you decide your values and how did you decide what kind of brand you wanted to put forward?

Tracy Sun: So I touched a little bit before… I’ll take, okay. I touched a little bit before about our values and just to recap, I think it comes from what you deeply care about and the founders and the founding team, we have a lot of things in common but I think one of the strongest things we have in common is just a belief in the way we want the world to be. So it’s almost outside of business and it’s not just a company value. It’s like our personal values. So it comes from there.

Tracy Sun: In terms of branding, I think that’s a really interesting one for us. And when it came time to really formalize our thoughts around brand, we were a little bit confused because we’re a company that wants to empower other people. And so if you create a really strong traditional brand, likely you will alienate some people. So I come from the fashion background. So my first thought was, “Ooh, we’re going to create a really cool logo and all of our messaging and all of our images are going to look chic and sophisticated.” Things that you had imagined at like Net-a-porter, for example, or just another cool brand. But we’re like, “Yeah, but 80% of America doesn’t want to see that. So what do we do then?”

Tracy Sun: And plus all of our sellers, they have their own story. How can we possibly create a brand around our story? And this is where those core values come into play. And one of our core values in terms of how we prioritize our time is to get behind our sellers, get behind our community, and make sure that we’re empowering them. And so when we think about brand, our brand became empowering sellers. And so when you see some of our videos or you see where we put our energy into things that might be called brand. We usually don’t put our faces, we put your faces right and we celebrate your wins. We don’t really celebrate our wins because if you or the community’s winning, we know we’re winning. So a lot of our brand is around community, honestly.

Speaker: Last question.

Audience Member: Thank you all so much for taking the time to speak with us today. I was wondering if you have an example of a challenge that you’re facing as a company right now or maybe in the recent past. And I’m interested in hearing about what kind of problem-solving methodology you use in a fast-paced environment like Poshmark.

Vanessa Wong: So I think one of the problems is scaling. We’re getting larger. Our app has a lot of different things in there. We want to introduce new features, but I think the core thing is keeping it simple. We don’t want it to be complicated. We don’t want a million steps in the listing flow. We don’t want to make buying complicated. But we do want to introduce new things that are useful for everyone. So I think one thing we’ve introduced within the last couple of years and we’ve introduced a concept of a metamodel.

Vanessa Wong: And what it is, is it’s basically a core set of principles that you kind of adhere to when you’re building a feature and really mapping it back to those. So if I’m going to create this button, like does it really adhere to what we’re trying to do? So really sticking that and it really gets the team aligned, as well. So let’s say we have a team of like 10 engineers working on it. That helps us really stay focused and make sure that we’re reaching our North Star.

Tracy Sun: Just to add one thing to what Vanessa said. The metamodel is a great one. But really that the problem that we’re facing that led that to be the solution is that we used to be a team that would sit around the table and design the product and then we grew to 400 plus people. And what we found is conversations were happening all over the place about the same project in different offices. We have three other offices around the world, and we had trouble–We would always try to communicate but things would always slip between the cracks.

Tracy Sun: And so that’s a challenge of scale that we had is we were not talking to each other in a way that — we weren’t communicating. We were talking and not communicating. So what the metamodel does, and you can call it what you want, but it gives guidelines. Here’s the core values. Here is what when we’re doing a feature, when we’re doing a project, we’re doing a campaign, here’s what it should do. And so double check yourself so that we don’t have to. We can be more nimble as a smaller team.

Speaker: All right. Thank you so much. Let’s give them a big round of applause here.

Tracy Sun, Claire Berkley

Technical Recruiter Claire Berkley passes the mic to SVP of New Markets and Co-Founder Tracy Sun to deliver opening remarks at Poshmark Girl Geek Dinner.


Our mission-aligned Girl Geek X partners are hiring!

“Unconventional Journeys in Tech” —  Girl Geek X Elevate (Video + Transcript)

Panelists:
Shanea Leven / Director of Product / Cloudflare
Farnaz Ronaghi / CTO & Co-Founder / NovoEd
Rosie Sennett / Staff Sales Engineer / Splunk
Angie Chang / CEO & Founder / Girl Geek X

Transcript:

Angie Chang: Great. Well, we’re all here. Welcome back to Girl Geek X, Elevate. This is our afternoon session. We will be talking about our unconventional journeys in tech, since it seems like that seems to be more common than people realize. The diverse pathways we have found to our jobs, that we get lots of people coming up to us, and saying, “Wow, you’re doing a really good job. That’s a successful career.” We’re like, “Oh, okay.” And people are like, “How did you get there?” So, hopefully, we’ll be able to share some of these stories, and I’m gonna ask each of our panelists to talk about themselves and share their backgrounds and their journeys and tell us their personal stories.

Shanea Leven: Sure, I’d love to start. Hi, everybody. I feel like I’m echoing.

Angie Chang: I think you sound fine.

Shanea Leven: Okay. Okay, cool. Hi. I’m Shanea, I started actually, my career, as an analyst and I was really interested in getting into tech. I actually started a digital marketing agency, way back when. That worked really, really well. I taught myself to code, for a number of years. The thing about myself, is that after starting, doing the entrepreneur thing, I wanted to get into tech in Silicon Valley, and so I ended up taking a job at Google, as a Program Manager.

Shanea Leven: Along the way, I really wanted to get into Product Management, except that the prerequisite at this time was that you needed a computer science degree. For myself, having gone on a ton of journeys trying to figure out how to navigate the tech space, one of the big questions was, am I technical enough? Do I have enough technical skill?

Shanea Leven: In order to get that product management job, I had a few options in front of me, which was to either go to a bootcamp, trying to gain additional technical skill, or get a computer science degree, or possibly get a technical Masters degree, which I know a lot of people face. For me, I ended up going back to school to get a Computer Science Bachelor’s Degree, while working full time at Google.

Shanea Leven: After, I became a Product Manager. I proved myself to gain that technical skill. I went on to work at Ebay, as a Senior Product Manager. I went on to work as Head of Product, at a startup, and now I’m a Director of Product at Cloudflare.

Angie Chang: Awesome. Farnaz, I think you have kind of the opposite story, where you started with the CS degree, you want to share a little about your journey?

Farnaz Ronaghi: Yes, of course. Hello, everyone. Yes, I come from a very traditional computer science background, but I did not start by choosing computer science as a major. They way education works in Iran is that for free. I’m from Iran, from Tehran, education is for free. However, we go through a very detailed, competitive University entrance exam. I was an A+ student, and I was very arrogant. I picked my top major to be double E, and I told everyone else, “I don’t need to pick more, that’s it.”

Farnaz Ronaghi: That was the paper I submitted. But my Mom, out of just being so kind, and out of love, filled out a few more degrees for me, a few more preferences. Her preference, her first preference for me was computer engineering. So that is how I ended up in computer engineering. Yes, I had that training, I had that Bachelor’s degree. However, the training did not make me a software engineer. It did not make me fall in love with writing code, and it did not make me confident that I am gonna be someone who will stay in tech.

Farnaz Ronaghi: But that happened, I came to the US for a graduate degree, and started a company. I learned through fire, by just being on the job, and doing it myself.

Angie Chang: Rosie, why don’t you share your story? I think you are definitely someone who has picked up things along the way, and has a very scrappy attitude to learning.

Rosie Sennett: Yeah. I was a Theater major, a technical theater major and I actually started out building props and costumes on Broadway, and then I kind of got distracted by coding–this is gonna show my age–coding macros in WordPerfect when it was green screen and it caught me.

Rosie Sennett: So, one day, I opened up the New York Times, and there it said, “Seven months. Learn to be a programmer.” So I signed up at Baruch College, and learned COBOL, and assembler language, and I got my first job at Information Builders in New York, answering the phones in technical support. In fact, I answered the phone so often like that, I would do that at home.

Rosie Sennett: “Information Builders, technical support. How can I help you?” I climbed that support ladder, and while I was doing that, the internet was born. So, I taught myself how to make webpages and marketing noticed that I was kind of messing with the website, and they decided I should be over there, and I discovered what marketing was, and what sales was, technical sales, and ended up as a Sales Engineer. I was there for 13 years and then I decided to go back to entertainment.

Rosie Sennett: I went back to entertainment, and I went west, and stayed and did some film stuff for a while. Now, I decided it was time for insurance and a paycheck again. Floated my way back in, and the last six years, I’ve been at Splunk, happy as a clam, doing sales engineering.

Angie Chang: Quick question. I think Sales Engineer almost feels like an insider term in Silicon Valley. Can you explain a little, for some people who may not be so aware, what is sales engineering?

Rosie Sennett: Sure. A sales engineer is the technical person on the sales team. So, sales engineers are the jack of all trades, the technical person who gets to do…. Our technical knowledge is super, super wide and deep, and the last bit that we concentrated on with the last customer. So, you know the products of the company, usually a vendor, that you work with, and then other stuff that you adapt.

Rosie Sennett: So, we’re the most technical really, that there is, ’cause you have to know a little bit about everything, and be able to present, and talk, and interface, and translate for the sales people.

Angie Chang: Cool, cool. What drives you forward in your career over the years? Like, what has kept you … I don’t want to say leaning in, but like, engaged to pull the levers, to figure out where to go in your career.

Rosie Sennett: I would like to say it was determination and a laser-like attention span. But actually, it was sort of distraction and curiosity, honestly. Now, in my sort of elder years, I have some very clear direction, I think. I’m actually really inspired by the young women coming in, and I’m really inspired by all the amazing stuff that’s happening at Splunk. I really landed in the most amazing place. Very lucky and feel really privileged to be working with the people I’m working with, and working in the programs that we’re doing at Splunk. Hiring like crazy, by the way, so come take a look at all the stuff, and apply.

Rosie Sennett: But yeah, I mean, right now, mentoring and being mentored by my mentees. The most amazing thing. No direction until I found direction, by watching all the amazing people who are now coming into the industry, honestly.

Angie Chang: Shanea, what has driven you in your career, and your product?

Shanea Leven: Yeah. So, a few things has driven me. I think from my perspective, I love building products. I like being able to have a lot of ideas all the time, about almost everything. I’ve found that product management is a really great medium for me, personally, between being an entrepreneur and working at a company.

Shanea Leven: I still get a lot of those same feelings that I got when I was an entrepreneur, with a lot less risk. Another thing that drives me is that, at this point in my career, I feel this personal responsibility to help the folks coming up behind, like, the generation that’s in right now. Some of us have to take a stand and stay and push through, so that we can make change for everybody else. So, hopefully our daughters won’t struggle with some of the things that we struggled through. That’s incredibly motivating to me.

Angie Chang: Farnaz, how about you, what do you think has been really driving your career forward, and the challenges? I know once, on the prep call you mentioned motherhood as something that has really changed the way you look at your career and managing your career and life.

Farnaz Ronaghi: Yeah. Well, and moving forward, when I started writing code on my own, the joy of creation was what was pushing me forward. But it was getting a little bit crazy. I was becoming, not becoming, I was the engineer who was taking six shots of espresso per day, and is coding 7 AM to like, 2 AM, and only sleeps five hours, just doing that all the time.

Farnaz Ronaghi: But then, motherhood, yes, it happened and while I was pregnant, I used to talk to my team and say, “Well, it’s no different. It’s just a baby. We will deliver it, and move on to becoming the same person.” Just like that. But when baby arrived, I actually learned that time is limited, there are other priorities in life, and I started prioritizing my work better.

Farnaz Ronaghi: The impact was actually surprising. It helped me make better decisions, because then I was always writing code, or working on something. I always thought time is infinite. So, there is a lot of time to get back to things, or to not close the loop on something. Or to not discuss it for today, leave it for tomorrow.

Farnaz Ronaghi: When baby arrived, I had to be more on point, and I had to make harder decisions to pick one way versus another and to be actually more deliberate about what I learned, what I spent time on, what technology I explore, and what I don’t. It has been helpful in that way to give me depths in technologies that I need to have depth in and leave alone parts of the stack that are not necessarily in my expertise.

Angie Chang: Cool. I also have a question for the panel, which is, what is a challenge you’ve faced, and how did you fix that? Rosie?

Rosie Sennett: Do I look the most perplexed? What was a challenge I faced? That’s a long road.

Angie Chang: Okay, I have another way to put it. How have you learned from a career mistake that you thought was a mistake that has turned out to not be a mistake? I think one thing we hear a lot at Girl Geek dinners is, “How do I know I’m going on the right direction?”

Rosie Sennett: Mm-hmm (affirmative).

Angie Chang: Or Shanea, do you have-

Shanea Leven: Yeah. I fail all the time. I had this conversation recently, every time I start a new job, or every time I start a new thing, it always seems like right at the beginning, there’s always a setback. Always. It came up in conversation, because like, “Is it just me?” Am I constantly getting setbacks right when I feel like I’m taking two steps forward? I don’t think that that’s the case.

Shanea Leven: I had a couple of really big failures, at least I’ve categorized them in my mind as big failures. I took the risk, but ended up, after seeing it through, I kind of failed up and that’s perfectly fine. It’s okay to switch, it’s okay to change direction, it’s okay to move forward. Sometimes you don’t know until you try and completely failed.

Shanea Leven: When I was actually getting my CS degree, I tell this story a lot, which is, I basically cried almost every night. It was challenging. It was one of the hardest things that I’ve ever had to do. It challenged my identity to my core, and I couldn’t be happier that I did it. Every day it felt like the worst struggle ever. But it made me better.

Farnaz Ronaghi: Actually, to build up on that point, knowing what is gonna work and what isn’t gonna work is impossible. We never do. We have patterns that we have seen in life, we have interests and excitements. So, we just go with that, and we push and push and push. There may be a time that we realize, “Okay, this cause is not a cause that is worth pushing,” and sometimes we push and we push, you know, what essentially makes you stronger. You come out, out of fire, feeling like you are unbreakable, because you just did that.

Farnaz Ronaghi: Guess what? Just a few months after, something happens that feels like the worst event of your life, and if we don’t let ourselves feel that we have failed, if we don’t feel ourselves burned and emotionally challenged by something, we will never learn. We will never have any opportunities to grow, because we are always staying in our own comfort zone.

Farnaz Ronaghi: When it comes to computer engineering, and writing code, it’s just everywhere. It’s a very male dominated industry, and as a result of that, in many places, the culture may not be as positive as some of us like it to be. Or, it may not be the culture that we are used to engage with and that by itself used to be a big emotional burden on me. “If I don’t belong here, why am I pushing?” But at the same time, when you push, when you show up, you change the ones around you, and you actually find your own people. Not everyone is the same. You’ll find a group of people who are like you, and you work, and you have fun.

Shanea Leven: Mm-hmm (affirmative).

Angie Chang: That’s a good point.

Rosie Sennett: I saw not too long ago, a cartoon that had two pie charts. One was completely red, you know, a circle, and it is said, “Life ending disaster that it felt like,” another pie chart was a little slice, it said, “Actual problem,” and the white thing, it said, “The thing I will learn from.”

Rosie Sennett: I discovered in my 30s that I have ADD and what that manifests as is a bunch of blockers, things that will stop you from being able to complete tasks, or keep your attention in places. It’s considered a neuro-divergence, right? It’s things that require methodologies to complete tasks that other folks just do. Paying bills, getting through an exam focused, practicing piano. For me, I don’t necessarily look at things as failures, because hitting walls, or for a long time, getting really crappy grades, for me, was like, “Mm-hmm (affirmative), okay,” and I got used to it.

Rosie Sennett: I would think, “Okay, well, I have to figure out a way around this.” More than having something be a failure, it was like, “Okay, that’s what that is. Now I need a way around something.” Or it was a lesson learned that I hadn’t realized before. Sometimes it was a hurdle I didn’t notice was there, and I went … stumbled over. Having recognized that hurdle, once I knew what was going on, I would then find a way over it, the next time. Right? By like, putting a lot of pillows, you know, and padding it.

Angie Chang: That’s a great way to look at hurdles and failures as ways to tell, this is an opportunity to try something new and figure out a new pathway to what you want. I’m wondering, what is advice you would give your younger self? Like, any resources, or something you would have done differently? A way that you looked at your careers?

Rosie Sennett: Listen to your elders. You can learn from them. Yes. That is good advice.

Shanea Leven: I think one of the things that has really hit home for me in recent years is, “Dare boldly. Take bold steps,” and they are scary. It’s really, really scary to put yourself out there, but ask really bold questions and do bold things, because you can completely surprise yourself.

Angie Chang: Do you have any examples for that?

Shanea Leven: Yeah. A lot of times in tech, we get beaten down a little bit, right? I was just leaving Google, and I was convinced that I could not do product management. So, I decided to go on a confidence kick. I was like, “I’m gonna get my confidence back.” I used to be a very confident person. What happened?

Shanea Leven: One of the things that I read, in, I think, The Confidence Code, was asking bold questions. I went to a product management meetup with all of the female VPs of Facebook, and I stood up, announced like, “How are you guys helping,” I didn’t get into Facebook at the time, but, “how are you guys helping move Facebook forward, because if you guys couldn’t get through the process when you interviewed,” which is what they all talked about, “how are anyone else supposed to get through, today? Like, what are the steps that you’re actually taking?”

Shanea Leven: Before I did that, I had to stop myself, because I think I blacked out a little bit, I was so nervous. But absolutely, it was a starting point for getting my hand raised, getting a good question answered. It started a really great discussion. And then, after, I took another bold step, and I basically just walked up to Deb Liu, and said, “Can I interview for you, again?” And she said yes.

Shanea Leven: I went through the interview process and didn’t decide to go to Facebook, but that step of just asking her for, in front of hundreds of other people, and getting a yes, was my first big step into that, and to this day, I continue to kind of live by that. ‘Cause you never know what the other person’s gonna say, unless you ask.

Angie Chang: That was a terrific point. Is there more-

Rosie Sennett: What’s the worst that could happen? Right?

Shanea Leven: Yeah, yeah. Exactly.

Angie Chang: Does anyone have a story of the time they asked for more? I know this was kind of a theme through the day, we had some people-

Rosie Sennett: That was really cool. That was great, when Leyla that was talking about that. That was amazing. [crosstalk 00:23:08]

Angie Chang: I’m wondering if there’s a specific advice–

Shanea Leven: I ask for more all the time. I actually had a conversation with another fellow woman in product management this afternoon. When I started, I made a certain amount at Google, and I didn’t know, I had no idea what the context was for asking for more, and asking for my worth. I started working there a little bit, and I realized, I’m like, “I think I’m underpaid.”

Shanea Leven: I vowed that I would never ever do that again, because I felt like I had missed my opportunity. In my next role, and the next time that I was able to negotiate for salary, I asked for a lot more, and I got it. The next time, I asked for a lot more than that, and I got that. Because again, taking bold questions and just asking the right question and being prepared, you never, ever, ever know.

Shanea Leven: Sometimes, you ask bold questions, and bad stuff happens. But it’s again, what is, all of the things can be fixed with proper communication. All of the things, if you’re able to kind of dare to, you know, put yourself out there. Then things can be mitigated and things can be fixed. But yeah, and also, as a PM, it’s kind of a skill to keep asking for more, and more, and more, and more all the time.

Angie Chang: It’s a great work skill, definitely.

Rosie Sennett: Yeah, it’s true.

Shanea Leven: Yeah.

Angie Chang: I am curious more, it seems like, there’s different types of people that we meet, that attend Girl Geek X events, some of them are new grads, some of them are doing the mid-career bootcamp career change. Some of them are moms coming back. Is there specific advice, or is it the same advice you’d give them on how to come into tech, or like, people always ask us, “How do I get into tech?”

Angie Chang: It seems like, to me, tech has changed in how people view it over the last decade or two. It’s become a lot more intimidating. Have things really changed that much, and is there any advice you would give to people who are looking to change their job title, or come into a new role?

Rosie Sennett: I did not have a standard background, as we said, in a time when you needed one. I was a total unicorn, and it was spoken of lots of times. The guy who hired me held on to my letter and my resume, and walked around, ’cause he was a character, and if I could do that then … you know. In fact, I gave talks about it at the school I went to, ’cause it was weird, that I actually made it through, to them.

Rosie Sennett: Now, it’s not so weird. If it’s of interest to you, and I said this to lots and lots of women at Lesbians Who Tech, who came up to us last weekend, asking the same question. You know, “But I do this, can I do that?” You will not know, unless you boldly go forward, as Shanea said. You’ve gotta just push through. I mean, we live in a world now, where you can actually just teach yourself stuff, and teach yourself enough stuff to boldly say, “I know how to do this,” and as we learned today, it’s just women who think they need to know all of it, in order to say, “I know how to do that.” Yes, you can do that, by just saying, I know how to do that. Right?

Shanea Leven: Yeah.

Rosie Sennett: And then eventually, you will know how to do that.

Angie Chang: Anyone else have advice for any of these Girl Geek X community people?

Shanea Leven: I think that some advice is, if this is the goal, and you really want this goal, just be mentally prepared that there are probably gonna be some challenges. If I could go back, I would try to have a support system for not doing it on your own, and asking for help when you need it. I read in the book, really recently, Dare to Lead, by Brené Brown, to have like, written on a card, what actually really matters to you? Whose opinion about you actually matters? Because you might get a lot of things …

Shanea Leven: I switched careers several times, and I was doing product management work before I had the title of product manager, and it took me eight months to find a role as product manager, even though I was already doing the job. That one simple, tiny little thing was enough, that no one wanted to take a risk. I’ve heard that it could take a long time to get what you want. Or, being able to test, get data back and user test like, how you craft the story of your transitioning in. Just be patient with yourself and have the support system to vent if you need to, or test some things out, or role play, or just taking those baby steps.

Shanea Leven: But don’t compromise what your goal is, which is why the first part of it, this is your goal, stick to it. A lot of people sometimes think that it’s good to kind of weave around, and “I’m gonna take this job, ’cause it’ll lead to this job,” and sometimes it’s just better to just be a little bit patient and just get the job that you want. I learned that, where a lot of folks said, “Oh, you’re transitioning into product management, you should go take a step backwards and be a junior product manager, because you’ve actually never had the title.” I was like, “Absolutely not, I’m not gonna do that. That’s crazy.”

Shanea Leven: Like, there’s no way that I’m gonna do that, because I’ve already been doing it. There’s something that I’m not articulating, this is not the right company, or something like that, where giving yourself the leeway to try things and then I went from Program Manager straight to Senior Product Manager and I did just fine. It’s just all right, it’s fine. All good.

Angie Chang: I’m gonna move on to some questions from our audience. What types of roles have you seen former educators move into when they transition into tech, and similarly, what advice would you give educators who want to move into tech?

Rosie Sennett: Well, a direct one would be education at a vendor. That would be an easy slide, internal or external. It would be the straight up, “I can do that.” If you want to take your resume and say, “I know how to teach.” ‘Cause trainer education, internal and external, that would be the way in, “I want a job today,” way to go. But any kind of customer facing role is gonna be actually on that. If you can teach and interact, pick up whatever … I’ve been in vendors this whole time, that’s my thing. So, the shortest from point A to point B, to me, is gonna be right in-

Angie Chang: That froze, unfortunately.

Farnaz Ronaghi: Yeah, I actually, I agree with Rosie. For a teacher, there are a lot of tech companies that would have good … not customer support, customer success roles, professional services roles, program management roles that basically are, you are building programs on technology. So, they are very technology oriented, and you will learn a lot of technical things, as if you join us at NovoEd, you will learn. But your core skillset, which is teaching, is critical to being successful in that role.

Angie Chang: That’s good advice. I think when I talk to people who are looking for jobs, a lot of times, people are looking, but at the same big brands, at their roles. But also, there’s a lot of early stage and medium sized companies that we don’t necessarily think about. They can be found on AngelList, or just by browsing on the internet, you can find smaller companies that will take a chance on people with resumes that show more different experiences, work experiences, life experiences. I actually recommend that path, as well. Then, after a few jobs, or years, maybe you will be at that big famed company, with the brand name. But to maybe start, and thinking about the smaller companies, and joining those roles for experience.

Angie Chang: Let’s see, another question we have here is, Shanea, knowing what you know now, would you still do a computer science degree?

Shanea Leven: Yes. Absolutely. For me, I briefly mentioned that it was identity, it went right against who I thought I was, by getting this computer science degree. My options were, the bootcamp, I already have a Bachelor’s in Business, and the CS Bachelor’s degree. What I found was that I’d gone as far as I could, teaching myself to code. I had done literally every online class that I could possibly do.

Shanea Leven: The ironic thing is actually, I actually taught, created online coding training, which is the crazy thing. For me, there was a different problem, that I didn’t realize that I had had, until I went to get the computer science degree. Which was, I grew up in inner city Baltimore, and my school system, I did not realize, failed me. There was a lot of things that with getting a computer science degree, and the way it’s taught now, that they assumed that I knew, and I did not.

Shanea Leven: I needed to go back to school, and I also have a little bit of dyslexia. Who knew? Until I was reading programming documentation for a long time, so I absolutely needed the CS degree to fill a lot of the holes and really, to ground my foundation of the theory, in addition to the actual syntax of languages. I would probably do it again. I don’t think the job that I have now, that I could have gotten it, without having the CS degree, and not having a solid foundation in the theory.

Angie Chang: Thank you. So we have a question here about, was networking a big part of your career pivots, or successes? It seems like everyone talks about networking like that’s the only way, but people feel it’s dirty networking for professional reasons. Can anyone give some thoughts on networking? Or what’s the best way to get a job or promotion?

Shanea Leven: Networking was important for me. When I decided to take the role at Google, it was because I actually kind of stalked a recruiter. Like, a friendly stalking. I called all the time, I was like, “Oh, we have to be friends now,” and we’re still friends to this day, ten years later. But just building relationships with folks, the job that I have right now was actually through a referral from two conferences that I met this person at.

Shanea Leven: I know Angie through friends of friends, and so I think networking is important. You never know what kind of doors we can open for each other, what kind of opportunities, and the mistake that I made was trying to think that I could do everything alone, and you really can’t. It’s about building a community, as opposed to thinking about it as networking, like, I have to go and do this.

Shanea Leven: It’s about building a community and you being a part of a community, as well. ‘Cause we’re kind of all in this together, we’re all trying to move forward together.

Angie Chang: Definitely. Farnaz, have you found networking to be important in your career?

Farnaz Ronaghi: I know it is important, however, that’s why I’m staying quiet, because I cannot be the one recommending people to do networking, ’cause I am the worst at it. I’m actually the one who will sit behind her computer for as long as possible, the introverted of introverts. Don’t see me talking like this, we are behind a computer, just … we can’t see each other in person, and we’ll see. But I do agree that it is about–just going through the startup experience, founding a company, and six years into it, I actually even, I look back, and every single people that we raised money from, people who became our customers, those relationships that I basically had to build because of my work, for advancing the actual work that I was doing, not that I was at that–

Farnaz Ronaghi: They are the ones that I go back to for, “Oh, I want to look around, where should I look?” Or, I’m looking for a partner, I’m looking for an engineer, so it is very important to be able to build that network. However, many of us have challenges with the concept of going out and talking to what feels like strangers. I don’t have any medication to help with that. But I do recommend everyone to go out there and just practice it, because I was very, very introverted. Now, at least when I take tests, my extroversion is more than introversion. So, it changes and you start doing better.

Angie Chang: Rosie, do you have anything to say about networking?

Shanea Leven: I do. I think in general, it helps to have, it’s interesting, having sort of kind of bopped back and forth, I mean, over long periods of time, between the software industry and the film industry, building a network of people who, I guess, in essence, they are acquaintances. They’re people who you know from cocktail parties, in the film industry, or conferences in the tech industry, who you see at just these things, and you recognize them visually and you don’t necessarily have anything to give or take from them, but you see them and they’re familiar.

Shanea Leven: You do, one day, get to call them up and say, “Hey, do you know this person? I’m looking at their resume,” or, “Well, how’s it going over there?” You get to actually make that, pull that ticket. It’s a good thing to have. So far, it’s been where people say, “Hey, do you know this person? They seem to be connected to you, do you actually know them?” And I’ve helped people get jobs.

Angie Chang: Okay. All right. We’re gonna be wrapping this up, just, I think we’ll take one more question. I think we have a few more minutes. I think this one may be good for Farnaz. We have an attendee who’s found that it’s hard for former educators to move into edtech, as many of the roles require sales experience, or highly technical skills. Even hard to get PM and customer success roles, any advice?

Farnaz Ronaghi: Even customer success and PM roles?

Angie Chang: Yes.

Farnaz Ronaghi: Well, I think, first of all, try sending your resume my way, and then I think, my advice would be, it would be good to look for instructional design or product, or program management roles in smaller companies, in startups that are more willing to invest in people who may not have the track record of success, but who will be able to be there and put their heart and soul in owning the results. We actually do that, with people who are in our customer success and professional services team, they come right from being a teacher to being in a position of working with our customers directly and building programs for them.

Farnaz Ronaghi: It’s actually very interesting. Like, with a bit of onboarding, they do such amazing work. I have no doubt that it works. However, try smaller companies.

Angie Chang: Okay, one final question. This’ll be a fun one. What’s your advice for bouncing back when you do ask for more and it backfires? Like, what is your coping mechanism, self care, how do you get back up?

Farnaz Ronaghi: Well, I think, the thing is that first of all, I think when you want to ask for more, just ask it with data. Meaning, when you feel like you are underpaid, there are Glassdoor reviews that give you average salaries and top of the market, below of the market. There are job descriptions from all sorts of companies with salaries on them that you can use as a data point that, for example, you are underpaid.

Farnaz Ronaghi: Or if you are asking for resources, like just go with data that backs your story, and if you really have a point, but you get the push back, for no reason, what seems like no reason, I actually think in those situations it’s good to just get it out of your system, talking to friends, getting coaching and mentorship. If you actually reiterate the conversation with a mentor, with someone who has, not just a mentor, but someone who has asked for a salary change before, and you feel like you had the right, and you feel like they also agree with you, that your argument was good, your manager didn’t have anything good to say in response, I actually think that it is fair to not think of yourself as just a disposable resource that can be treated in any way.

Farnaz Ronaghi: Just go out there and interview and look for other jobs, and then bring them an offer. You know? Push as hard as you want to push, just as long as you are doing it logically, you have data, and you are sharing your experience with someone else, in the role.

Angie Chang: Does anyone else have last feedback for how to bounce back from a potential rejection?

Shanea Leven: I think Farnaz is totally right. Doing data, and having the conversation. I think that moving, or separating in your mind the emotion of the rejection from the actual negotiation, or the thing that you’re asking for, is something that I really struggled with. They’re two different things. Right? Like, maybe there’s a reason, maybe there isn’t a reason, or maybe there’s a reason that someone isn’t telling you. But that doesn’t necessarily mean that you shouldn’t deal with your emotion around it.

Shanea Leven: That could just be, for me, it’s talking to someone, it’s venting. It’s reminding myself that they didn’t reject me personally, but they rejected the thing that I proposed. Or, it’s maybe not … it’s a no right now, but not a no forever. Or, like Farnaz said, get another job. Just separating those things out is helpful.

Farnaz Ronaghi: You know, I have one more thing to add. You made such a good point. I personally, I find having cheerleaders in life, very, very helpful. I have one cheerleader. One best friend, who rarely tells me I’m wrong. So, whenever I’m going with my emotions high, so angry at the whole world, because of the unjustice that they just did to me, for whatever reason, he will tell me that I was right, that I’m smart, but I have to work on saying it better.

Farnaz Ronaghi: Or, “Why don’t we say it this way?” Like, I just empty the emotions somewhere, and we get to problem solving together. I think finding yourself a friend, a cheerleader would be very, very helpful to deal with the emotion, because it’s very hard not to feel the rejection. But you need to move on.

Rosie Sennett: Yeah, yeah. I think being really clear that your argument, if we take it out of the salary area, broaden it for a second. Being really clear that you know that whatever argument you’ve brought for this decision was delivered to the person you’re delivering it in a way that they can hear it. You’re gonna deliver it to that person, in a way they can understand. If it’s somebody who can understand an emotional argument, then go ahead and deliver that. But if it’s somebody who can not, do not deliver an emotional argument, because it will fall flat. If it’s someone who needs statistics, then show up with statistics. If it’s someone who rejects whatever it is outright, and you feel that you have presented it, you know that this is a logical argument and you’re being dismissed, then yeah, you have a bigger decision to make.

Rosie Sennett: If you’ve been waved off, that’s a whole ‘nother ball of wax. Don’t confuse that with your proposal being rejected. Two different things, really. I think that’s the clear thing, is that one thing is personal, one thing’s not and none of it, in the end, is really personal. As Shanea said, 90 percent of the time, that decision, especially if you’re an individual contributor asking for something that is directly affecting only you, you may have no idea how or why that decision was made, and it may never come to you. So, that information should never necessarily turn into us and them. It should never then go out and become announcement of us and them, that has to be processed, because that’ll mess with you, too. That was what I was thinking while everybody else was kind of talking.

Angie Chang: Okay.

Shanea Leven: I’d also read Crucial Conversations. It’s super helpful.

Rosie Sennett: Yes, yes. Very good, very, very good.

Shanea Leven: Very tactical of like, how to go about these things and some of the tactical things we’re talking about, splitting emotion and like, the actual execution of the conversation. Changed my whole life. I’d recommend starting there.

Rosie Sennett: Super cool.

Angie Chang: Thank you all for joining us today. I know it’s Friday. Thank you so much. We’re gonna be … just tweet at us ggxelevate and we are gonna be moving into our next session, so thank you so much for joining us. See you later.

Rosie Sennett: See you.

Farnaz Ronaghi: Thank you all, bye.

Rosie Sennett: Bye.

Girl Geek X Palo Alto Networks Lightning Talks (Video + Transcript)

Like what you see here? Our mission-aligned Girl Geek X partners are hiring!

Gretchen DeKnikker, Angie Chang

Girl Geek X team: Gretchen DeKnikker and Angie Chang share their excitement for Palo Alto Networks Girl Geek Dinner in Santa Clara, California. There was a photo booth for making girl geek flipbooks!

Speakers:
Varun Badhwar / SVP of Products and Engineering / Palo Alto Networks
Liane Hornsey / Chief People Officer / Palo Alto Networks
Nir Zuk / Founder & CTO / Palo Alto Networks
Citlalli Solano / Director, Engineering / Palo Alto Networks
Meghana Dwarakanath / Manager, SQA Engineering / Palo Alto Networks
Archana Muralidharan / Principal Risk Analyst / Palo Alto Networks
Paddy Narasimha Murthy / Senior Product Manager / Palo Alto Networks
Angie Chang / CEO & Founder / Girl Geek X
Gretchen DeKnikker / COO / Girl Geek X

Transcript of Palo Alto Networks Girl Geek Dinner – Lightning Talks:

Angie Chang: My name is Angie Chang, founder of Girl Geek X. I want to thank you all so much for coming out tonight to this beautiful… Thank you so much to the Palo Alto Networks for sponsoring. I’ve never been here and the campus is amazing. This space is beautiful. We’ve had so much fun meeting people here, checking out the demos, eating delicious food and drink. Now we’re really excited tonight to meet some of the people who work here, talking about their expertise.

Gretchen DeKnikker: Angie was going to tell you this part but I’m going to tell you. Okay, did you guys see all the cool stuff? There’s a photo booth here, over there and you can do that. Then you can make a little flip book where you move and then they’ll make you a little flip book on the spot.

Gretchen DeKnikker: There’s demos back there, which seem to be fabulously popular. Got the little cards. There are recruiters all over so if it seems awesome here, and it seems pretty awesome, the food’s awesome, everything’s awesome so far, right? Yes?

Audience: Yes.

Gretchen DeKnikker: Yes. Okay, so if you want to work here, they’re also hiring. Then you can work with some of these amazing women that you see here tonight. Girl Geek, we do these every week. Who’s their first time here?

Gretchen DeKnikker: Okay, cool. We’ve been doing these for about 10 years. We’ve done over 200 of them. We do them every week now up and down the Peninsula, in San Francisco. If this is fun, make sure you’re on the mailing list and come to the next ones.

Gretchen DeKnikker: We also got a podcast, we just got going. I think we’re on episode eight. What was it about? Tech stayers. Yes. Don’t leave. Tech stayers. But there’s ones on impostor syndrome and mentorship and career transitions and learning styles and just like, so check it out, it’s on all of your usual podcasting places, and then let us know if you like it or what we could do to improve it because we’re not podcasters, we have no idea what we’re doing. We’re just talking, like I am right now.

Gretchen DeKnikker: Without further ado, thank you guys so much for coming tonight and I don’t know who I’m turning this over to.

Varun Badhwar: I’ll take it.

Gretchen DeKnikker: Okay. Let’s welcome the man to the stage.

Varun Badhwar speaking

SVP of Products and Engineering Varun Badhwar warms up the crowd at Palo Alto Networks Girl Geek Dinner for talks on secure development, secure design, how security is just such a core part of development life cycles.

Varun Badhwar: Thank you. Privilege to be here. Good evening, everyone. Really an honor to have all of you here. My name is Varun Badhwar. Figured I’d just spend a few minutes sharing a little bit of my story. I’m six months or so new into Palo Alto Networks. Came in through an acquisition, actually. We recently, Palo Alto Networks acquired a company called RedLock. I was a founder CEO of that company. As a startup, one of the biggest things that makes you successful, brings the teams together is really the culture, right?

Varun Badhwar: A lot of people, there’s no product, there’s very little salary we can pay people, the office isn’t as nice as this, but ultimately we join companies for the people who are going to work with and really a grand vision of a problem we’re going to solve. That problem for us was securing the cloud. As you’re doing that and as you’re building… For those of you who are not familiar with cybersecurity, there’s normally in this industry, if you’re successful, you likely end up getting acquired by just potentially six or seven companies that can do that.

Varun Badhwar: For me, a lot of people have said, we were only three years into building RedLock, sort of how we ended up here? Why did we make that decision? Ultimately, Palo Alto Networks, for those of you not very familiar with the company, has always been at the very top of that list for us for a couple of reasons.

Varun Badhwar: One, is you’re going to hear from our founder, Nir and the team. Just incredible pace at which Palo Alto Networks has disrupted the market, has taken a leadership position, now is the largest pure play cybersecurity company in the planet.

Varun Badhwar: More importantly, all of that has been done with only 6,000 people in the company, right? Larger companies in security have 80, 100,000 people. For us, it’s been fantastic. You come in, you get the best of feeling like a startup operating really rapidly yet having a culture, and having values that are very startup like. Everything from empowerment for the teams, empowerment down to individuals working in this company to–

Varun Badhwar: I’ve just been fascinated with how important diversity has been to this company. Obviously this is one small commitment towards that. But as I can come in here and I’m asked to go work towards our annual conference, which is Ignite that’s happening next month. From the number of attendees, our customers that are coming and tracking diversity statistics there to how many speakers we’re bringing to the table, have these advanced diversity there, diversity in hiring. and diversity obviously is is about professional backgrounds–

Varun Badhwar: Maybe, heck, if you look at our CEO, he never worked in cybersecurity before this, he came from Google, right? He’s first timer in cybersecurity, so for those of you say, “This feels like too geeky of a space.” Not really. I think we really appreciate diversity. Whether you’re coming from a consumer background, enterprise background, you get race, ethnicities, values as well.

Varun Badhwar: I don’t want to take up too much time here. Just articulating a couple of things. One, phenomenal company. We’ve loved the last six months. My teams tell me we are working harder than we did at a startup and having a lot more fun. The fact that the values are so aligned to–what I think a lot of us love probably the companies we’ve worked for. The intersection of just cybersecurity, and specifically for my part, cloud is just so fascinating. It’s a cat and mouse game, security. You’re never done building products that work well. You’re always against forces that are from–Maybe Nir will touch on, it’s a good topic for him.

Varun Badhwar: There’s people that are putting more and more emphasis. Attackers are trying every which way to get into people’s environments. They just need to be right once, we need to be right every time with the products that we build, right? Really an amazing career opportunity. Again, want to thank you all for coming here. Hopefully, you’re going to learn a lot about secure development, secure design, how security is just such a core part of development life cycles. I will pass that over to Liane and Nir.

Liane Hornsey speaking

CPO Liane Hornsey talks about the the inclusion agenda at Palo Alto Networks Girl Geek Dinner.

Liane Hornsey: Hello, everybody. I am the Chief People Officer of Palo Alto Networks and honestly, I love moments like this, and I really love moments like this because I’m in the company of a lot of technical women. I always feel, oh gosh, they’re so much better than me. They’ve got all these skills I haven’t got. They know how to code, they know how to build product, they know how to make things happen, and I work in HR. But I also think and feel very, very humble when I’m with technical women, that it is also harder for women in technical jobs to come to work each and every day. It’s harder for them than it is for me.

Liane Hornsey: When I walk through this door, I walk into a function and I’m surrounded by other women. I am not surrounded just by people who are different to me. So I don’t carry that burden of being different as I walk through the door, in the same way as many of you do. Because you work as a minority in many of your teams. I’m doubly in awe, because you can do all these things and you have all these skills that I don’t have, and you have that additional, not burden, but that additional concern of being different.

Liane Hornsey: Now, I have only been at this company for seven months, a little like Varun, about the same time. I joined this company, honestly, not really knowing much about this company. But truly, I have come to love this company with all my heart. I really love this company, and I want to tell you why. Partly it’s this, I truly believe you have to work for a company that is doing good stuff.

Liane Hornsey: Every night I drive home and I turn on my radio and I feel just that little bit less safe. Every day I think about my children online, who are a bit bigger than your children. But I think of them online, and I think about their safety. Every day, particularly as a European, I think about the importance of cybersecurity. I know I am working for the good guys and I’ve got to tell you, that feels really very, very nice, but it’s not just about what we do. What I really love about this company is how we do it. When I first came here I met my team and the first thing they said to me is, “We don’t have D&I here. We don’t have diversity and inclusion.” I’m like, “Whoa, bit weird,” and they said, “No, we have inclusion and diversity.” Then I thought, yeah, yeah, that’s a bit of a fad. You’re just changing the words around.

Liane Hornsey: But I do want to impress something upon each and every one of you. Diversity and inclusion does not work. There is no point putting in more underrepresented minorities into companies that can’t change and make them feel welcome. There is no point pulling more women into technology, if you can’t make them feel like they can bring their whole selves to work each and every day.

Liane Hornsey: For me, it’s not the diversity agenda. It’s about the inclusion agenda, and that is what Palo Alto Networks is going to be known for. That is what we are going to do that is different and unique. I don’t believe there are companies in the valley that have solved the diversity and inclusion issue. We all know we’re spending a ton of money each and every year trying to encourage minorities, trying to encourage more women, trying to encourage difference and we’re failing. And we’re failing, I realize now, because we are doing it wrong.

Liane Hornsey: It’s about time we understand, each and every person in this room, even if we’re united largely in agenda, we are not the same. I am not the same as every other woman in this room. I am an individual. I am unique, and I am special as are each and every one of you, and that is what Palo Alto Networks is going to be about. It’s going to be about over the next couple of years, making sure that each and every individual that joins this company feels special, feels that they’re doing amazing blooming work, work that will change this world and work that will make everybody safe, and that we can all be whoever we want to be at work. I think if we crack that, we’ve done something pretty darn good.

Liane Hornsey: I’m not going to say much more to you. I am so glad that you’re here. I am so glad you can see everything, that’s wonderful. But I’m most glad for you that you can hear from our founder. In my career I have worked with a number of founders, and I’ve got to tell you, it is not always a joy. They can be a little unusual. This time it’s an absolute, an amazing joy, and I’d like to introduce Nir.

Nir Zuk speaking

Founder and CTO Nir Zuk talks about the past, present and future of cybersecurity at Palo Alto Networks Girl Geek Dinner.

Nir Zuk: Thank you, Liane. Thank you all for being here. I’m Nir, I started this mess about 14 years ago. We got funded about 13 and a half years ago. We’ve been selling products for about 12 years. Like Varun said, we are the largest cybersecurity vendor in the world today, we’re also the largest cybersecurity business in the world. Even businesses inside other large companies are smaller than us and these businesses have been around for 25, 30 years, sometimes even more than that.

Nir Zuk: How does a company that’s only been selling products for 13 years, becomes larger than companies like Cisco and Juniper and Semantic and other large cybersecurity vendors? Of course, it would through disruption, right? To disrupt the market, you completely change the market, and maybe I’ll say few words about disruption.

Nir Zuk: The first thing about disruption is that it’s a weird thing. It’s not like it’s… The way you disrupt the market is not by building a product and starting to sell it and then figuring out, wow, I disrupted the market. It’s actually the other way around. You find the market that’s ready for disruption. You find the reason why it’s ready for disruption and you address that, right?

Nir Zuk: If you think about it, some of the companies that you work with and a lot of the companies that have changed things like the taxi industry, and the hospitality industry, on the consumer side, and then companies that have changed the way we do HR and the way we do salesforce management and CRM and the way we do IT operations and so on, they were all going into markets that have been doing the same thing again and again and again and again for many, many years and found the reason to disrupt those markets, disrupted the markets, and have been successful at that. We’ve done the same thing.

Nir Zuk: The next question that I always get asked is, how do you make sure that nobody comes behind and disrupts you? It’s not easy. The thing about disruption is that when you face disruption as a large company, it’s very, very difficult to deal with that. It’s very difficult to deal with disruption because you have two pretty much bad options. The first option you have is to embrace the disruption, meaning to say, wow, this is very disruptive. Everything I’ve done so far is irrelevant. Let’s embrace the disruption. The challenge, especially as a large company, as a publicly traded company and so on, is that that really kills your business, and you have to start again. It’s not that you start from scratch, but it’s enough that your revenues go down 2, 3% and you’re done. Right?

Nir Zuk: Embracing disruption is hard because you have to start convincing the markets that you are disruptive and then you have to buy and sell them something new while they don’t buy your old thing. Then you can fight the disruption, but if the disruption is real and true, then you’re going to eventually end up staying behind, which is really what happens to our competitors when we started disrupting the market. They all fought the disruption, they all went through the five stages or first denial, right? Nobody needs it. Then we do it too, and then eventually it’s, okay, let’s go and find something else to do.

Nir Zuk: To make sure that we don’t get disrupted ourselves, the only logical way to do it is to disrupt ourselves. Keep looking why the market is ready for disruption and going and disrupting it at the risk of hurting your existing business, which we do. We keep doing that all the time and we don’t have time to talk about it right now and today, but we keep disrupting the market, we keep changing the market and changing the way the cybersecurity market works. I think that that’s the first thing that we’ve done.

Nir Zuk: The second thing that’s interesting about the cybersecurity market is that when we started, it was made of two types of companies. It was made of very large vendors. Again, I mentioned some names, Cisco and Symantec and there’s another company that they used to work for in the past called Checkpoint out of Israel, which is also a very large vendor in the industry. There’s McAfee and Juniper used to be a large vendor in the industry and there are a few others, and they all sell products that are very, very successful, but really aren’t doing anything to secure their customers. In fact, they all sell products that we call firewalls, you’ve probably heard about firewalls and everybody knows that you need the firewall, it’s just firewall is not going to make anyone secure.

Nir Zuk: Firewalls are not a security product, they are a hygiene product. Saying that the firewall is security products is like saying that soap is going to make you healthy. It’s a hygiene products, it’s not going to make you sick, but it’s not going to make you healthy. You’re not going to prevent some or the most important diseases. Right? That’s one set of companies.

Nir Zuk: The other set of companies that we saw when we started the company 14 years ago was the innovative companies, the companies that actually do something for their customers to stop the bad guys and to make the world safer, but those companies just never took off. There was this disconnect between the two when… and part of it is because it’s very hard for customers, especially very hard for organizations to tell what’s working and not working, what’s not working. Like how are you going to evaluate a cybersecurity product? They’re going to hire a bunch of hackers and pay them a lot of money and go create an attack against yourself and then see if the product… Nobody does that, right? Usually you get a script from the vendor and you followed the script, then guess what? It works, right?

Nir Zuk: When we started the company, we decided to be different. We decided that we’re going to build the product that is both going to be big, and is going to actually do something for our customers, and that’s part of our culture. There are other things in our culture that I think are very important. But I think… and I’ll talk about him in a second, but I think the most important thing in our culture, or about culture is that we strongly believe is that cultures create companies and not vice versa. Meaning it’s the culture that you have when you start a company, and if you work really hard and make sure it doesn’t change much, it’s the culture that you have over the years that’s great in your company versus your company creating a culture. Okay? If your culture is to be disruptive, then you’re going to be disruptive. If your culture is going to be, you’re going to invest in sales and marketing to convince the world that the products that you build that aren’t doing anything, actually do something, then that’s going to be your culture.

Nir Zuk: There are a few very important things that we created in the culture of the company that I think have brought us to where we are, and the largest vendor in the cybersecurity industry, and we’re also growing much faster than everyone else. There are areas where we’re by far the largest vendor, well, there are areas where we’re bigger than everybody else combined. Doing really well, and again, it’s our culture and it’s things like being disruptive. It’s things like we always… we don’t solve simple problems. Meaning, if there was something in cybersecurity that we think someone else is already doing well or we don’t know how to do better than them then we’re not going to do it.

Nir Zuk: Customers keep asking me, “Why aren’t you doing the… Distributed Denial of Service protection?” Whatever that means, right? Because I just don’t know how to do it better than others that are doing it today. They ask me, “Why aren’t you doing web application firewall?” I just don’t know how to do it better than others, so why would I do that? Okay? The things that we do here are things that we know how to do better, or we think at least we know how to do better than everyone else. That’s in our culture. Like when we make a decision whether to do something or not, that’s a very important criteria. Criteria, right? There are other important criteria. That’s one part of our culture.

Nir Zuk: The other part of our culture is to always do the right thing for the customer. Now, of course, every company that you work for will say that they are doing the right thing for the customer, but as an example that I used just a moment ago, if you invest in sales and marketing to convince your customers that the stuff that doesn’t work, doesn’t do much for your customers actually does, then that’s not your culture. Your culture is not to do the right thing for the customer and… For us to do the right thing for the customer, I think the way we think about it, the way we’re presenting this, we always do… we only do things that we can be proud of. Okay? I cannot be proud of selling a customer a product that doesn’t do what the customer thinks that the product does. So, we’re just not going to do that. We’re going to do the right things so that we are proud of what we do so that customers eventually will get the benefit of the products, and that’s very important for us.

Nir Zuk: Another area that’s very important for us is self-awareness, okay? Many companies just aren’t self-aware when it comes to the issues that they have. Whether in their structure or in their products or in whatever it is. We are very very self aware. I mean I’m not going to, of course, wash the dirty laundry here, but in meetings we always talk about the issues that we have. We always talk about competitive issues that we have, we always talk about organizational issues, we always talk about the different things that are going to make us not successful, or are making us not successful in some areas, and we’re very self aware of that and we fix it. We certainly don’t kill the messenger up, we promote the messenger here, and take care of that. Those are important things that just don’t exist in many companies. When you look back 14 years ago and we look at the set of companies that we compete against today, they just have a very, very different culture than we have today.

Nir Zuk: The last thing, which you’ve already heard, that’s important for us in the culture is diversity. Diversity is not just gender diversity, which is very important. I think among the first 25 employees of the company, about a quarter, 25th and a quarter were women. But it’s not just gender, it’s also underrepresented minorities. It’s also diversity as to where people come from in terms of the companies that they come from. We don’t just hire from two companies, we hire from as many different companies as possible, so we get as many different opinions as we can. When we think about diversity, we think about diversity across everything. It’s really an important part of our culture. Like if you walk around and you see the list of things that are in our culture, which are posted in various areas of our buildings, that’s one of them. Being diverse is very, very important for us. We just think that it makes us better and it makes us build better product for our customers. Okay?

Nir Zuk: Maybe the last thing I want to talk about is would… like Liane said, not too many people know about Palo Alto Networks, especially if you’re not in the enterprise space and not in cybersecurity space. You don’t know much about Palo Alto Networks other than maybe you every now and then you’ll hear about our financials or things like that. But if I look at the things that we’re proud of and the things that are somewhat unique to us, we are one of the large… we have one of the largest infrastructures in the world, or certainly building one of the largest infrastructures in the world. Cybersecurity is becoming more and more, and that’s something we’re driving, but it’s becoming more and more a data problem. The amount of data that you need to deal with in order to find the bad guys and stop them, it’s just unbelievably huge. We’re talking… I mean, if we today had to collect or are able to collect all the data that we need from our customers, we’re talking about several billions of events per second. Okay? This is the kind of infrastructure that we need to build. We’re talking about many, many, many, many exabytes of data in order to make our customers secure. I mean, I’m not saying we’re there yet, but that’s something that we need to build, and over the next few years we need to build.

Nir Zuk: Cybersecurity is becoming a data problem and we’re leading that. We’re very large infrastructure company.

Nir Zuk: One of the things that we’ve done, and one of the disruptions that we brought to the market is we have transformed the cybersecurity market from a market where you buy a lot of products. A typical organization and typical enterprise will have dozens and sometimes more than 100 different cybersecurity products that they deploy in their infrastructure. We transform that into a market that’s delivered via SaaS. Okay? That’s another thing that’s important about Palo Alto Networks, and yeah, there’s also the cybersecurity aspects. You’re going to be a cybersecurity expert to work at Palo Alto Networks. The number of people here that actually know cybersecurity, probably 200 or 300 of our employees, actually are cybersecurity experts. All the rest are data experts, and service delivery experts, and operations experts, and of course, that’s in the engineering department and we have many other organizations within the company. Okay? That’s what I had to say. I’ll stick around if you have some questions. We don’t have time for questions right now, and I guess next one is Citlalli. Thank you.

Citlalli Solano speaking

Director of Engineering Citlalli Solano talks about loving where she works because she identifies with Palo Alto Networks’ mission of securing “our digital way of life.” She is a proponent of the security-first mindset.

Citlalli Solano Leonce: Hello, everybody. My name is Citlalli Solano Leonce. I am a director of engineering here at Palo Alto Networks. I’m a software development and I really couldn’t be more proud of having you guys here tonight. A little bit about myself, so let me share a little bit of my story.

Citlalli Solano Leonce: I grew up in Mexico City, back in the day there were no cell phones, no tablets, no flat TV screens, no nothing, right? No, internet even, and I remember vividly how my mom would take me with her to the bank, right? The old big computers with black screens and green letters and characters going around. I always wonder what is happening behind? How could that person type something, and then some magic happens? Right? Fast forward a little bit. I got… that’s what I… got me to study computer science.

Citlalli Solano Leonce: Finally right out of college, my first job was at the central bank in Mexico. I finally, my dream come true. I was able to understand what was happening behind the scenes, but there was a slight difference back then, and is that I was not only understanding what was happening, but I was in the driver’s seat. Here I am, 21, 23 year old, building systems for my country.

Citlalli Solano Leonce: I was developing in C++ and my modules eventually ended up in the payment systems. Now people are able to transfer money from one bank to another immediately. I was paving the way for the digital transformation of my own country. That was… at that time probably, I didn’t realize that impact, but looking back it’s like, really I was a key player there.

Citlalli Solano Leonce: Fast forward a little more. Here I am standing in front of all of you in the middle of the Silicon Valley. A day in the life, you wake up, your phone plays a nice tune for you. With the internet of things, you can have your coffee machine make coffee for you, and then you wake up to the very nice smell of coffee beans. You can say, “Alexa play, what’s the weather today? What’s my stock options? You take your car, the car drives you wherever you want, right? Like that, so it’s amazing, right? All these transformation, I can’t believe I have been fortunate in life to live this revolution, right? But there’s another side to that. What is happening with all of that? Now, we all have our lives in the digital world. Raise up hands, how many of you do your banking online? Probably everybody, right? How many of you do video gaming or your kids do video gaming? Right? Now, even that is online.

Citlalli Solano Leonce: Some of us are doing… those DNA test, 23andMe, okay? Then we can share and, or maybe we’re cousins, we’re third cousins or whatever. Right? That’s amazing. But, where do you think all these data is going? Everything is hosted in the cloud, right? We are leaving our digital fingerprint over there, and it’s not only the data, these services themselves are deployed in the cloud. They’re either running in AWS, Azure, GCP. Who knows? right?

Citlalli Solano Leonce: Amazing. But we also have a big responsibility. Everything is interconnected. How do we prevent the bad guys from getting that? It’s not only just your little blog post, it’s now your financial information, it’s now your DNA information, right? Who knows what’s going to happen in a few years.

Citlalli Solano Leonce: Let’s look at how we are developing those various systems, and something that Nir was referring to, it’s not only about cybersecurity and cybersecurity professionals, right? We at Palo Alto Networks happen to make software that secures the enterprise. But security is responsibility of everybody. Who is building that 23andMe mobile app? Probably one of us. Right? Who is building those banking applications? One of us, right? What are we doing to prevent that from being vulnerable? It shouldn’t be an afterthought and in and out of the job of the InfoSec guys. Archana, here, who specializes in InfoSec, can tell you a lot more about the security practices, but that should start before.

Citlalli Solano Leonce: Looking at this SDLC, it’s something that’s probably very, very familiar to many of you. What do you think here is missing? Any ideas? We have the the planning, we have architecture and design, implementation, testing, deployment, maintaining, anything that is missing here?

Audience Member: Security.

Citlalli Solano Leonce: Security. Where do you think security should go? What circle are we missing? Where do you think that goes?

Audience Member: Everywhere.

Citlalli Solano Leonce: Everywhere? Yeah. Oh, you guys are too good for me. Yeah, spoiler alert. Yes, security is everywhere. It’s not, oh, QA should test for security, and Meghana can tell you a lot more about all our QA security practices. But this goes before, even as we are designing, Paddy here also will talk to you about product management, but it’s everybody’s responsibility.

Citlalli Solano Leonce: Circling back, we are living in this amazing world. We have all these services at our fingertips, right? Everybody’s now, now our kids, everybody is. But also we have a big responsibility. I personally love working here because I really identify with our mission of securing our digital way of life. I truly believe that. As the previous presenters were saying, it’s truly our responsibility and we are hoping for a better world one day after another. I’m hoping that tomorrow is going to be a little safer than today, so that the world that I leave to my kids and my legacy is much better than what I’m living right now. I invite you all to adopt security as your own, and let’s build that secure world together. Thank you very much.

Meghana Dwarakanath

SQA Engineering Manager Meghana Dwarakanath says, “We have to continuously rethink our role and what we need to do in our roles to be successful. This mindset is not only encouraged here at Palo Alto Networks, it is expected, and that is what I love the most about working here” at Palo Alto Networks Girl Geek Dinner.

Meghana Dwarakanath: Hello, everybody. My name is Meghana Dwarakanath. I’m the Software Quality Assurance Manager for public cloud security here at Palo Alto Networks. Now, I have been able to contribute across three different products here at Palo Alto Networks: WildFire, which is our malware protection as a service, Aperture, which is our data loss prevention as a service for SaaS applications, and now with public cloud security product RedLock. I’m sure you all know already all about it, with all the demos you’ve attended.

Meghana Dwarakanath: How did I get started? I like to tell people that I’ve worked my way up the networking stack. I started off on CDMA. Then IP, TCP, SUDP, finally landed in the cloud, and out of pure curiosity took a right turn into security. This is a story you’ll hear a lot more from people who are working here. Because, initially when you think security, or at least when I heard about security, the first thing that comes to your mind is some Mission Impossible scene. There’s lot of screens, hackers. But then working here I came to know it takes a lot of people from a lot of different backgrounds and expertise to come together and make a good security product. Now, if you take my team, for example, I have people from DevOps background. I have people from Dev background, of course QA background, security company experiences, non-security company experiences, and with all those different perspectives, we are able to build a much more secure and successful QA process, which is what I’m going to talk about today.

Meghana Dwarakanath: One of the axioms in security is, you’re only as strong as your weakest link. Now let me ask all of you something. What do you think is the weakest link in your companies? Maybe you don’t want to say it out loud. But the answer should be, nothing. We are all strong, we’re all doing good, and we agreed, right? Now, of course, when it comes to our production environments, we are very thoughtful about protecting them, and we should be. Because it has our customer data, it has our reputations, and it needs the protection. By the time we come to our QA environment, it kind of tapers a bit, right? Why? Because you’re thinking it’s QA.

Meghana Dwarakanath: We don’t have customer data in there, hopefully. It’s an afterthought, we really don’t think about it. But if you really think about the challenges we have and the kind of products we are testing today, we need to think about why we need to secure QA environments. Because when somebody gets to your QA environment, there are a lot more things they can get out of it, apart from customer data. For example, they can get an insight into your system internals. They can figure out how your systems and services are talking to each other and you’re literally helping them make a blueprint to attack your production environment. You have proprietary code, of course, that is running in your QA and staging environments, and so there’s a potential loss of intellectual property there.

Meghana Dwarakanath: Again, hopefully you don’t have customer data in your QA environments. I really hope you don’t, because here at Palo Alto Networks, the InfoSec team, Archana will tell you more, they’ll find out, come hunt you down, and take that data. Then, of course, if you’re the unfortunate victim of something like a bitcoin mining and that, you get a very massive bill at the end of the month, a very, very unpleasant surprise, right?

Meghana Dwarakanath: This is just your test environment. What is the other aspect of testing? Test automation, right? Anybody who is testing the SaaS service will tell you they test against production. Every time you release, you want to make sure that your production is doing okay. All the features are doing okay. So what do you do? You run your test automation against production, which means your test automation now has credentials that can access your production environment. You probably have privileged access because you want to see better what you’re testing, and now you’re co-located next to customer data, which is a very–potentially–a very unsafe mix.

Meghana Dwarakanath: How do you do the security? One of the ways we have been able to do this successfully here, is to consider test as yet another microservice that is running in your production. All those production microservices that you deploy, test is just another one of them. How do your microservices store credentials? That is exactly how you test automation will store credentials, the same SDLC process that Citlalli talked about, where security is not an afterthought. The same thing applies to your test automation code as well. You deploy monitoring for your test automation services just like you would do for your production services, and then whatever deployment automation you have, your IS automation code you have, you first test deployment into the same very architecture, and now you have all the added protections that your production microservices are getting.

Meghana Dwarakanath: There are a lot of fun new QA testing concepts, right? AB testing, blue-green testing. How do you test this global? With this, we are able to be in every single stack we deploy, test continuously, and get continuous feedback about our test and production environments.

Meghana Dwarakanath: Now we have the right people, we have the right mindset, we have the right intentions. We just want to ensure that our intentions have the right impact. What do we do? We just happen to have a set of world-class microservices at our disposal, so we don’t put our own environments, which means for example, all my test environment are monitored by RedLock, to see if we have any security vulnerabilities there so that I can immediately know about them and then I can make sure they’re secured, right? This is a win, win situation, of course, because we are in the same cycle of continuous feedback. We tell how the product is doing, the product is securing us.

Meghana Dwarakanath: Now, from this talk, I really want all of you to have two takeaways from this. One, of course, to really go and think about how your QA practices are, are they secure? And what needs to be done to make them secure. The second thing is to realize that we are in an ever changing landscape and there are different and new challenges, right? We have to continuously rethink our role and what we need to do in our roles to be successful. This mindset is not only encouraged here at Palo Alto Networks, it is expected, and that is what I love the most about working here. Thank you.

Archana Muralidharan speaking

Principal Technical Risk Analyst Archana Muralidharan reiterates that “security is not a one-time concept. It’s a continuous process” at Palo Alto Networks Girl Geek Dinner.

Archana Muralidharan: Good evening, everyone. I am Archana Muralidharan, I work as Principal, Technical Risk Management, here at Palo Alto Networks, InfoSec department, and the same function of a lot of people refer to now. I feel more responsible now to deliver what exactly we do put into product security here.

Archana Muralidharan: Before we get into the specifics of how we do stuff at Palo Alto Networks, let me share with you some fun facts about me. I was born and raised in Chennai, a city in southern part of India. Where the weather is really hot all through the year, 365 days a year. There are only three seasons, according to us, hot, hotter and hottest.

Archana Muralidharan: There is there are no cold seasons that are known to us. If you ever see me wearing a jacket when it’s 70 degrees outside, you know why it is. My childhood dream was to actually become, any guesses? Was a Bollywood singer. Honestly, I still learn Indian classical music just for the fact that I couldn’t become one. But destiny was something else, I completed my engineering and I ended up becoming a software engineer.

Archana Muralidharan: It was by accident, I would say that I got into information security, because I didn’t even know what it was like 12, 13 years ago when I started my career in InfoSec. After having been in InfoSec for so long, I really, really love the domain. It is so interesting because it throws a unique set of challenges and problems for us to solve. Now that we heard a lot of our leaders, Citlalli, Meghana, touching upon how important is security to be incorporated as part of SDLC, let me dive deep into that.

Archana Muralidharan: There are some debates here and there in terms of the actual estimates, but all research does confirm the cost and time involved to remediate the vulnerability, grows exponentially over the different phases of SDLC. That’s why it’s really important for us to start thinking about security, during the initial phases.

Archana Muralidharan: Especially when you’re delivering the cybersecurity product, we want to be doubly sure, triply sure, over cautious sometimes to ensure the way we develop [inaudible] makes us really secure, because we have commitment to protect the digital way of life.

Archana Muralidharan: Our approach here at Palo Alto Networks is to embed security as part of every phase of [inaudible] like how you just heard from a lot of the speakers who spoke previous to me. As part of requirements, we make it a point that we collect security requirements as an NFR, meaning non-functional requirements, in addition to the normal performance ahead of requirements. We ensure that they are understood, well documented so that we could potentially prevent a lot of vulnerabilities creeping down street.

Archana Muralidharan: As part of Design phase, being from InfoSec, worked very closely with the product architects to understand the architecture and review it from a security perspective to ensure… to look for all possible attacks, incorporate possible mitigations well in time to prevent design flaws that would otherwise result in vulnerabilities in the product.

Archana Muralidharan: As part of Build phase, we primarily do two activities. The first one being static code analysis where we look for vulnerabilities and remediate in the custom code what we developed, as part of product development. The second piece being, using this open source vulnerability assessment tools to figure out the vulnerabilities in the open source libraries and frameworks worth the use in our product. But it’s really important that we understand what we sign up for.

Archana Muralidharan: During Testing phase, we do something called as application integration testing to find vulnerability that we had missed as part of Build phase. For instance, when we do static code analysis during Build phase, the code doesn’t run, [inaudible] it is static. When more components are integrated, come together, there could be a possibility of more vulnerabilities, which we typically find, specifically targeting areas, some of the stack like versus logic errors, privilege escalation, which no static analysis tool can find as of today.

Archana Muralidharan: As part of Deployment we perform deployment architecture review. This is very similar to what we do as part of design phase. The only reason is because we are in the [inaudible]. We follow [inaudible] frameworks, we build stock so fast. There’s always a chance that they may miss the actual design, what was approved versus the actual design one gets to plan, finally may differ and you want to be really sure that the final architecture, what gets deployed is indeed what was approved.

Archana Muralidharan: Finally, I’m very sure all of us would be aware and agree that security is not a one-time concept. It’s a continuous process. We monitor… We scan our product environments for vulnerabilities in infrastructure, web application, API, SQA configuration, so forth and so on, and remediate those vulnerabilities well in time.

Archana Muralidharan: Aside from that, there could be a situation where a vulnerability is out in the market, but it’s not part of your scan cycle, so we don’t want such vulnerabilities to be executed and end up being in a breach situation. We use runtime application, self protection to detect those vulnerabilities and lock it from getting executed during run time. These are all the activities that precisely we do as part of software development life cycle. We take security really very serious.

Archana Muralidharan: Before [inaudible], I want to share, why do I love working for Palo Alto Networks? Trying to give a basic… I would like to share my personal story when I interviewed with Palo Alto Networks. Having been in consulting for 10 plus years, the very fact, the very idea that I’m going to work for a cybersecurity product company, really thrilled me, really excited me.

Archana Muralidharan: I applied for a job, I went for an interview, everything went well, and always we have this feeling that we could have done probably a little better. Any of you think like that? After any interview? I felt the same. But all well, I get a call from the hiring manager, did a very appreciative of all the great qualifications, what I have and I was super excited. I thought I was [inaudible] the job, but then there’s a slight twist to it. I did not get the job. Difference, I was not a right fit for that job. Instead, they offered me a totally different job, which in their opinion, they believe that’ll be a better fit for me. As you all are confused now, I was completely lost and confused, because never in my career of 15 plus years, there was ever a situation where something like this happen. It is always either a yes, or a no.

Archana Muralidharan: With a lot of confusion, I agreed. I accepted the offer. Glad that I made the decision, no regrets whatsoever after that. It has been a great learning experience here. The reason why I’m sharing this with you today is to reemphasize that teams here at Palo Alto Networks think very differently to solve the problem statement. That’s what makes this place unique and a great place to work. Thank you so much for your time.

Paddy Narasimha Murthy

Senior Product Manager Paddy Narasimha Murthy talks about PMs and Security PMs, and how PMs work at Palo Alto Networks Girl Geek Dinner.

Paddy Narasimha Murthy: Thank you, Archana. Hi, everyone. Glad to be here with all of you. I’m Paddy Narasimha Murthy. I’m a product manager on the Cortex team, an engineer turned product manager. That’s a very brief introduction about me and I’m here to talk about the perspective of PM-ing at Palo Alto Networks. What does that mean? You heard from a development manager’s perspective, QA, and InfoSec perspective, and now this is the PM perspective. But before I go into the details, I want to go over… what does a PM do, and then what does a Security PM do, and finally, why is it fun working here at Palo Alto Networks?

Paddy Narasimha Murthy: Many of you might’ve seen this image. This is a classic image where you see different perspectives for the exact same element, and here the element is elephant. What a PM does is basically intuit what a customer wants. Let me go over that with an example. Let’s say Customer A comes to you and they say, “I have certain data set and I want only the senior management to actually have access to that data set.” Okay, great. As a PM, you make an order for it and you say, “Okay, this is probably how I’m going to go build that feature.” But in the meanwhile, Customer B comes to you and says, “I have a data set, but I only want my support engineers to access that data set,” and you go, “Okay, that’s also great and I can build a feature for that.”

Paddy Narasimha Murthy: Imagine if you are a PM and you were to build a feature that satisfies that Customer A, and another feature that actually satisfies Customer B. Do you think that’s going to be sustainable? Because it’s very soon you are going to run into a situation where there’s going to be dozens of customers and probably even hundreds of customers asking for something very similar saying, different people need to have access to it. That is where you as a PM come into a picture and where you actually help draw this elephant. In this particular case, you could solve this problem by building something called a role-based access control, for example, where you can actually have a common solution that would satisfy with Customer A, Customer B, as well as thousands of customers who could have the same need in the future.

Paddy Narasimha Murthy: Role-based access control system, just a brief introduction is basically setting up rules, which are privileges, and those privileges tell you what users have access to and what they don’t have access to, and you can assign these privileges to users. That is one way of solving this problem. This is what a PM [inaudible] does.

Paddy Narasimha Murthy: The other important aspect is that PM also helps understand teams the big picture. For example, different teams when they are building different features, what they see is just a tiny part of it and probably an isolated view of that feature because they might only be integrating with one more team or in some cases just couple of more teams. They’re a very isolated view of the work. So a PM’s job is to step in and actually help draw the elephant where you tell teams that, “Hey, this is what we’re building and here is how your piece is going to fit in.” That’s the job of a PM.

Paddy Narasimha Murthy: That said, what does a Security PM do? A Security PM does all of what I mentioned, and a little more. The first factor is security actually takes time. It’s not a one or zero or, okay, let’s do this feature or let’s not do this feature. There’s a cost to it. As a PM, what you do is typically you try to figure out how to build a secure product. If building a secure product, let’s say, you can only… ship five features in a product instead of 10 features, then so be it, because that would actually make your product a lot more secure because you’re able to spend more time on security related features.

Paddy Narasimha Murthy: Next is it’s actually an investment. By that, what I mean is it pays in the future. Let me explain that with an example. Many of you might’ve heard two factor authentication. It is basically you put in your password as well as another form… another factor for authenticating yourself. We all know 2FA is important and many online services and companies and so many others online accounts offered 2FA. But how many of you go turn it on, or how many companies even go turn it on. Even though this is a new feature and explain it to the customers as to why this is important, it actually go ahead and build this feature and explain it to the customer as to why this is important, because this is going to prevent them from the ever evolving threat landscape, and pushing this feature out in the next 10 years or so is not really going to benefit our customers. That’s what you may have trade off.

Paddy Narasimha Murthy: Next is, it is ongoing. Let’s say as a PM you decide that your product is reasonably secure, so you put the secure stamp on it, you ship it out into the world, and that’s it, your job is done. No, it’s not. Because security is constantly ongoing and you have to evaluate, is your product continuing to secure the customers? Is there more to it? If I were to extend the 2FA example, what I would be doing for the ongoing aspect of it is to now figure out, maybe I should be offering multi-factor authentication and not just two-factor authentication, because that is how I am going to protect my customers from the ever evolving threat.

Paddy Narasimha Murthy: Moving onto why PM in Palo Alto Networks. Security up and down the stack. Because Palo Alto Networks, we have a wide suite of products that our different speakers alluded to earlier. We have firewalls, so ranging from the physical devices up to the cloud, we have a whole suite of security products. If you were to join as a PM or in any role, you would actually get to work across the stack of products.

Paddy Narasimha Murthy: Product-oriented engineering is another factor. Where we don’t just stack up products because some customer came and told us, “Hey this feature is cool and I would like to see this feature in my product.” That’s not how we go about it. Everything that we build here at Palo Alto Networks starts with a problem statement. PM sits down and write a very cohesive problem statement. We start our process on there, and with that problem statement would be good, we actually sit together with the PM teams and we go over that problem statement and we convince ourselves, is this the right thing to do? Is this the right problem that we would need to solve? Is this the right thing for our customers. We attack the problem from different perspectives to make sure that we’re actually going after a problem that really needs to be solved. That is another factor that I really like.

Paddy Narasimha Murthy: The last one here, everyone here wants to do the right thing. Palo Alto Networks is a pretty large organization. We have several different teams. If you think about it, different teams have their own ways of doing things. We have different priorities, and they have different incentives too. But in a lot of cases when we have to work together, there is going to be conflict. But it’s really easy to work together because everyone in the room really wants to do the right thing. That is the biggest reason why I really enjoy working here. With that, I’m done, so are all the speakers. Really want to thank every one of you for coming here and spending your evening with us. Thank you all, we’ll be hanging out here, so happy to answer any questions you have. Thank you once again.

Pictured: Citlalli Solano (Director of Engineering) at Palo Alto Networks Girl Geek Dinner 2019.


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