60 Female CTOs to Watch in 2025

New Faces Female CTOs to Watch Chief Technology Officers

Many of the world’s biggest brands and companies are helmed by female CTOs you should know.

This year, we welcome some new faces in annual list of 60 inspiring Chief Technology Officers (CTOs) to watch in 2025 – that happen to be incredible women technologists and engineers:

1 – Allianz Technology Chief Technology Officer Gülay Stelzmüllner

Gülay Stelzmüllner Allianz CTO

Gülay Stelzmüllner is Chief Technology Officer at Allianz in Germany. With more than 20 years of IT experience, she has led complex and global IT projects, simplifying and automating IT operations, and driving process improvement and innovation. Prior to Alliaz, she worked at Siemens for over 17 years. She earned her diploma in computer science at Munich University.

2 – American Airlines Chief Technology Officer Anchal Gupta

Anchal Gupta American Airlines CTO

Anchal Gupta is Chief Technology Officer at American Airlines in the United States. Prior to American Airlines, she led engineering teams at JP Morgan Chase, Depository Trust & Clearing Corporation, Barclays, and American Express, to name a few. She earned her degrees in management from Indian Institute of Technology, Calcutta.

3 – Autodesk Chief Technology Officer Raji Arasu

Autodesk CTO Raji Arasu

Raji Arasu is Chief Technology Officer at Autodesk in California. Autodesk is the leading software for architecture, design, construction, engineering, and manufacturing. Prior to Autodesk, she was Senior Vice President of Platform at Intuit, Chief Technology Officer at StubHub, and spent over a decade at eBay, where she began as a senior manager and worked her way up to Vice President of Technology. She earned her bachelor’s in engineering at Savitribai Phule Pune University.

4 – Back Market Chief Technology Officer Dawn Baker

Dawn Baker Back Market CTO

Dawn Baker is Chief Technology Officer at Back Market in France. Back Market is a global marketplace for premium refurbished electronics. Prior to Back Market, Dawn was a Senior Director of Engineering at Google, Vice President of Engineering at Fitbit, Senior Manager of Site Reliability Engineering at LinkedIn, and more. She earned her bachelor’s at Boston University.

5 – BMC Americas Chief Technology Officer Amanda Blevins

VMware CTO Amanda Blevins

Amanda Blevins is Chief Technology Officer at BMC Americas in Colorado. BMC helps customers run and reinvent businesses with open, scalable, and modular solutions to complex IT problems. Prior to BMC, she was at VMware, Principal Architect at IHS, Senior Consultant for Electronic Data Systems, Technical Lead for ITD Server Solutions at Johns Manville, Network Engineer at DCS, Senior Network Administrator at FrontRange Solutions, and she began her early career as Network Administrator, Lab Administrator, and Helpdesk Technician. She earned her bachelor’s degree in Computer Science at American Sentinel University.

6 – Boundless Chief Technology Officer Emily Castles

Boundless CTO Emily Castles

Emily Castles is Chief Technology Officer at Boundless in Ireland. Boundless is an employment platform for compliance and human resources. Prior to starting Boundless, she was head of engineering at Bizimply. She has worked as a software engineer at Red Hills Software, Grontmij, and RPS Consulting Engineers. She earned both her bachelor’s and master’s degrees at University College Dublin.

7 – Cabot Chief Technology Officer Patricia Hubbard

Patricia Hubbard is Chief Technology Officer at Cabot in Massachusetts. Cabot is a leading global specialty chemical and performance materials company. Before Cabot, she was Vice President of R&D at Avery Dennison, Vice President of Corporate Technology at Avient (formerly PolyOne), and CVD Technology Manager at GE, where she worked for over a decade. She earned her Ph.D. in Polymer Science at The University of Akron and her bachelor’s degree in Chemistry at Case Western Reserve University.

8 – Canvas Chief Technology Officer Maria Telleria

Maria Telleria Canvas

Maria Telleria is Chief Technology Officer at Canvas in California. Canvas is the first robotic drywall finishing company. Before co-founding Canvas, Maria was a company lead at Otherlab. She is the lead author on eight patents and five patent applications related to Canvas systems and is a co-inventor on an additional three patents related to pneumatic robots. Maria earned her a Ph.D. in Mechanical Engineering from MIT.

9 – Cardinal Health Chief Technology Officer Urvi Randhar

Urvi Randhar Cardinal Health

Urvi Randhar is Chief Technology Officer at Cardinal Health in Texas. Prior to Cardinal Health, she worked at Prime Therapeutics, Healogics, and Medsolis. Prior to that, she was at MEDHOST for 19 years, most recently as a Vice President of product development, where she worked her way up from senior software architect. She earned her bachelor’s in computer software engineering at SGSITS.

10 – Ethena Chief Technology Officer Anne Solmssen

Anne Solmssen Ethena

Anne Solmssen is Chief Technology Officer at Ethena in New York. Ethena is a compliance training platform. Prior to Ethena, she worked as a Tech Lead at Mark43 and interned at Palantir. She earned her bachelor’s in computer science at Harvard University.

11 – Etsy Chief Technology Officer Rachana Kumar

Etsy CTO Rachana Kumar

Rachana Kumar is Chief Technology Officer at Etsy in New York. Etsy is a global marketplace for unique and creative goods. She was promoted from Vice President of Engineering, and has been at Etsy for a decade, when she joined as an Engineering Manager. Prior to Etsy, she co-founded ShaadiKarma, was a Graduate Consultant at Columbia University, interned at United Nations Population Fund, worked as Lead Software Architect at Brighter India Foundation, managed Web Development at BET Networks, consulted at Ernst & Young, and began her career as a Programmer Analyst at Cognizant. She earned her bachelor’s degree in Electronics and Communication at RV College of Engineering and a master’s degree in Public Administration at Columbia University.

12 – ezCater Chief Technology Officer Erin DeCesare

Erin DeCesare EZCater

Erin DeCesare is Chief Technology Officer at ezCater in Massachusetts. ezCater is the leading marketplace for corporate catering. Prior to ezCater, she was Vice President of Data and Analytics at Bottomline Technologies, Vice President of Data and Analytics at Vistaprint, Director of Program Management at Fidelity Investments, Project Manager at Sovereign Bank, Project Manager at Woodman Design Group, and began her career as an Information Technology Account Manager at Signature. She earned her bachelor’s degree in Biology at Boston University and her MBA at Northeastern University.

13 – Financial Times Chief Technology Officer Rebecca Salsbury

Rebecca Salsbury Financial Times CTO

Rebecca Salsbury is Chief Technology Officer at Financial Times in the United Kingdom. Prior to the Financial Times, she worked at the BBC for 11 years, most recently as Deputy Director of the BBC Platform overseeing platforms and digital products. She earned her bachelor’s and master’s in mathematics at University of Maine. 

14 – Getlabs Chief Technology Officer Claire Hough

Claire Hough is Chief Technology Officer at Getlabs in California. Prior to Getlabs, she was Chief Technology Officer at Carbon Health, a tech-enabled healthcare company providing primary and urgent care. Prior to Carbon Health, she was Chief Technology Officer at Lyte, Vice President of Engineering at ApolloQL, Senior Vice President of Engineering at Udemy, Senior Vice President of Engineering at Nextag, Senior Vice President of Engineering at Napster, and Vice President at Netscape. She earned her bachelor’s degree in Engineering and master’s degree in Operations Research, both at UC Berkeley.

15 – Ghost Foundation Chief Technology Officer Hannah Wolfe

Hannah Wolfe is Chief Technology Officer at Ghost Foundation in England. Ghost is an open source publishing platform for new-media creators to share and grow a business around their content. Before co-founding Ghost Foundation, she worked as a Senior Developer at Moo.com and began her career as an Interactive Developer at Engine Creative. She earned her bachelor’s degree in Computer Science at University of Nottingham, and her MBA at Nottingham University Business School.

16 – Halma Chief Technology Officer Catherine Michel

Halma CTO Catherine Michel

Catherine Michel is Chief Technology Officer at Halma in England. Halma (LON:HLMA) is a global group of life-saving technology companies, from safety to environmental and medical. Before joining Halma, she was Chief Technology Officer at Sigma Systems, Trustee at Skylarks Charity, Founder and Chief Technology Officer at Tribold for a decade. She began her career at Accenture as a Senior Manager. She earned her bachelor’s in Finance at University of Michigan – Stephen M. Ross School of Business.

17 – Hanwha Chief Technology Officer Danielle Merfeld

Danielle Merfeld is Chief Technology Officer at Hanwha Group in North Carolina. Hanwha is the 7th largest business group in South Korea leading a business portfolio covering energy, ocean, aerospace, finance, and more. Prior to GE Renewable Energy, she was Vice President and General Manager at GE, Solar Business Leader at GE Energy, Solar Platform Leader at GE for over a decade, and began her career as a Wide Bandgap Semiconductor Researcher at GE. She earned her Ph.D. in Electrical and Electronics Engineering at Northwestern University and her bachelor’s degree in Electrical and Electronics Engineering at University of Notre Dame.

18 – Heroku Chief Technology Officer Gail Frederick

Gail Frederick

Gail Frederick is Chief Technology Officer at Heroku in Oregon. Prior to joining Heroku at Salesforce, Gail worked at eBay, most recently as Vice President of mobile and ecosystem. She earned her certificate for management at MIT Sloan, her master’s in computer science at University of Washington, and her bachelor’s in computer science at University of Michigan.

19 – Honeycomb Chief Technology Officer Charity Majors

Charity Majors is Chief Technology Officer at Honeycomb.io in California. Honeycomb provides full-stack observability designed for high cardinality data and collaborative problem solving for engineers to understand and debug production software. Prior to co-founding Honeycomb, she was a Production Engineering Manager at Facebook, Infrastructure Tech Lead at Parse for a year, Cloud Systems Engineer at Cloudmark, Systems Engineer at Shopkick for a year, and began her career as a Systems Engineer and Systems Engineering Manager at Linden Lab. She attended University of Idaho. She has published books on database reliability engineering and observability engineering.

20 – Honeywell Chief Digital Technology Officer Sheila Jordan

Sheila Jordan Honeywell

Sheila Jordan is Chief Digital Technology Officer at Honeywell in North Virginia. Honeywell helps organizations solve complex global challenges in automation, aviation, and energy. Prior to Honeywell, Sheila led IT at Symantec, Cisco, and Grand Circle. Prior to that, she worked at Walt Disney World for 14 years, most recently as Senior Vice President. She earned her MBA at Florida Institute of Technology and her bachelor’s in accounting at University of Central Florida.

21 – HPE Federal Systems Chief Technology Officer Tracy Mills

Tracy Mills HPE Federal CTO

Tracy Mills is Chief Technology Officer of Federal Systems at Hewlett Packard Enterprise (HPE) in Hawaii. HPE strives to be the strategic partner for Department of Defense organizations of all sizes. Prior to HPE, she worked at PACXA for 7 years. She earned her degrees from University of Maryland in international relations and communications.

22 – Intrado Chief Technology Officer Liz Nguyen

Liz Nguyen Intrado CTO

Liz Nguyen is Chief Technology Officer of Intrado in Colorado. Intrado provides public safety agencies with data to coordinate emergency responses. Prior to Intrado, she was Chief Technology Officer at Vertafone, Senior Vice President at P2 Energy Solutions, and a Senior Director at Ventyx. She earned her bachelor’s at University of Chicago.

23 – JLL Chief Technology Officer Yao Morin

Yao Morin JLL CTO

Yao Morin is Chief Technology Officer at JLL in California. JLL is a leading professional services firm that specializes in real estate and investment management. Prior to JLL, she worked at StubHub as Chief Data Officer and US Head of Engineering. Prior to StubHub, she worked at Intuit as Head of Data Science. She earned her PhD and master’s in electrical engineering at University of Minnesota, and her bachelor’s in information engineering at Beijing University.

24 – Johnson & Johnson Chief Technology Officer Rowena Yeo

Rowena Yeo is Chief Technology Officer at Johnson & Johnson in Singapore. Johnson & Johnson is the largest and most broadly based healthcare company in the world. Before joining Johnson & Johnson, she was Vice President and Chief Information Officer for Asia Pacific at Janssen Pharmaceutical, and Global Group Chief Information Officer at Cargill for over a decade, and her early career began as a Systems Engineer at IBM. She earned her bachelor’s degree in Engineering at National University of Singapore.

25 – Kapor Center Chief Technology Community Officer Lili Gangas

Lili Gangas Kapor Center CTO

Lili Gangas is Chief Technology Community Officer at Kapor Center in California. The Kapor Center is leveling the playing field and building a future where the tech industry makes a positive impact on culture, society and the economy. Prior to joining Kapor Center, she was Lead Associate at Booz Allen Hamilton, NYU Entrepreneurial Institute Programs MBA Intern for a year, and a Senior Multi-Disciplined Engineer at Raytheon. She earned her bachelor’s degree in Electrical Engineering at USC and her MBA at NYU Stern School of Business.

26 – Kennametal Chief Technology Officer Carlonda Reilly

Carlonda Reilly is Chief Technology Officer at Kennametal in Pennsylvania. Kennametal is a global industrial technology leader delivering productivity to customers through materials science, tooling and wear-resistant solutions. Before joining Kennametal, she was at DuPont for over two decades, most recently as Global Technology Director of Nylon, Polyester and Filaments. In her early carer, she joined DuPont as a Senior Research Engineer for Crop Protection and Central Research and Development. She earned her bachelor’s degree in Chemical Engineering at MIT, and an MS, Chemical Engineering and PhD, Chemical Engineering at University of Delaware.

27 – Klaviyo Chief Technology Officer Surabhi Gupta

Surabhi Gupta Klaviyo CTO

Surabhi Gupta is Chief Technology Officer at Klaviyo in Boston. Klaviyo powers smarter digital relationships. Prior to Klaviyo, she worked at Robinhood, most recently as Senior Vice President of Engineering. Prior to Robinhood, she worked at Airbnb, she was Director of Engineering. Prior to that, she was a Staff Software Engineer at Google, and conducted research at Microsoft as an intern. She earned her master’s in computer science at Stanford University and her bachelor’s in computer science at Stony Brook University.

28 – Kyndryl Chief Technology Officer Kristi Cunningham

Kristi Cunningham Kyndryl

Kristi Cunningham is Chief Technology Officer at Kyndryl in Florida. Kyndryl designs, builds, manages and modernizes mission-critical technology systems that the world depends on every day. Prior to Kyndryl, she worked at Accenture, where she was Managing Director, Global and North American Financial Services Lead. Prior to Accenture, she worked at Capital One for 23 years, most recently as VP of Enterprise Data Management. She earned her master’s in information technology at Virginia Tech and her bachelor’s in computer science at Jacksonville University.

29 – Leaf Chief Technology Officer Helga Alvarez

LEAF CTO Helga Alvarez

Helga Alvarez is Chief Technology Officer at Leaf in the United Kingdom. Leaf combines years of full-funnel marketing expertise with proprietary growth-engine technology to deliver revenue and sustainable growth for clients. Prior to joining Leaf, she was Co-Founder and Creative Technologist at Cometoide for a year, Software Developer at Possible Worldwide, Visiting Research Scientist at Korea Institute of Science and Technology, and Product Management and Marketing at FMWebschool. She earned her bachelor’s in Software Engineering at Universidad Latina de Costa Rica.

30 – LimeLoop Chief Technology Officer Chantal Emmanuel

Chantal Emmanuel is Chief Technology Officer at LimeLoop in New York. LimeLoop’s smart shipping platform combines reusable packaging and a simple sensor for a real-time lens into the e-commerce experience. Retailers have a powerful platform to effectively understand and communicate with their customers, while providing the insights necessary to inform ESG and supply chain decisions. Before co-founding LimeLoop, she was a Software Engineer at SYPartners, Lead Software Engineer at Red Clay, Community Program Officer at New York Cares, and began her early career in AmeriCorps VISTA. She earned her bachelor’s degree at Binghamton University and studied entrepreneurship at Cornell University.

31 – Linktree Chief Technology Officer Farnaz Azmoodeh

Farnaz Azmoodeh Linktree CTO

Farnaz Azmoodeh is Chief Technology Officer at Linktree in California. Linktree enables creators, brands, artists, publishers, agencies, and businesses of all sizes to curate a place where they can share, sell and grow.  Prior to Linktree, she worked at Snapchat as VP of Engineering. Prior to Snapchat , Farnaz worked at Google for almost a decade, more recently as an Engineering Manager. She began her career as a Software Engineer at Google. She earned her master’s in computer science at University of Southern California and her bachelor’s in computer science at Sharif University of Technology.

32 – Lyra Health Chief Technology Officer Jenny Gonsalves

Jenny Gonsalves is Chief Technology Officer at Lyra Health in California. Lyra Health is a leading provider of mental health benefits, transforming mental health care by creating a frictionless experience for members, providers, and employers. Before joining Lyra Health, she was Vice President of Engineering at SugarCRM for a decade, Senior Software Engineer at Epiphany, and began her early career as Programmer Analyst at RBC Dominion Securities. She earned her bachelor’s degree in Computer Science at University of Toronto.

33 – Manara Chief Technology Officer Laila Abudahi

Laila Abudahi is Chief Technology Officer and co-founder at Manara in California. Meaning “lighthouse” in Arabic, Manara is on a mission to untap the full human potential in MENA and diversify the global tech sector.  Before Manara, she was a Senior Software Engineer at NVIDIA. a Dataplane Software Engineer at Palo Alto Networks, and founded MOTION in Gaza to develop Kinect-based interactive educational solutions for kids. She earned her bachelor’s degree in Computer Engineering at Al-Azhar University in Gaza, and her master’s degree in Electrical, Electronics, and Communications Engineering at University of Washington, where she was a Fulbright Scholar.

34 – MetaLab Chief Technology Officer Jona Moore

Jona Moore Metalab CTO

Jona Moore is Chief Technology Officer at MetaLab in Washington. MetaLab helps the world’s top companies design, ship, and build digital products. Prior to MetaLab, she worked at frog, most recently as Global Vice President of Technology and Product Design and Delivery. She earned her bachelor’s in computer science at British Columbia Institute of Technology.

35 – Microsoft Security Chief Technology Officer Michal Braverman-Blumenstyk

Microsoft Security CTO Michal Braverman Blumenstyk

Michal Braverman-Blumenstyk is Chief Technology Officer at Microsoft Security in Israel. Microsoft Security provides comprehensive security solutions. Prior to joining Microsoft a decade ago, she worked as General Manager at RSA (the security division of EMC), Chief Operating Officer at Cyota (acquired by RSA), and Vice President of Product Development at RadView. She earned her master’s in Computer Science at Columbia University.

36 – Murmuration Chief Technology Officer Heidi Williams

Heidi Williams Murmuration CTO

Heidi Williams is Chief Technology Officer at Murmuration in California. Murmuration amplifies the power of civic engagement with data, tools, and insights for organizations building healthier and more equitable communities. Prior to joining Murmuration, Heidi was Head of Engineering at Grammarly, Chief Technology Officer at teQuitable, Vice President of Platform Engineering at Box, and worked at Adobe Systems for over a decade. She earned her bachelor’s in computer science at Brown University and on the side, founded and organizes WEST D&I Mentorship Programs for women in tech.

37 – NASDAQ Chief Technology Officer Capital Access Platforms Angie Ruan

Angie Ruan NASDAQ CTO

Angie Ruan is Chief Technology Officer Capital Access Platforms at NASDAQ in New York. Nasdaq is a global technology company that champions inclusive growth and prosperity, creating opportunity for markets and economies of all sizes. Prior to NASDAQ, Angie was a technology executive at Chime, SVP Technology at NASDAQ, technology executive at American Express, head of engineering at PayPal, and more. She earned her master’s in computer science at UC Santa Barbara and her bachelor’s in computer science at Tsinghua University.

38 – Netflix Chief Technology Officer Elizabeth Stone

Elizabeth Stone Netflix CTO

Elizabeth Stone is Chief Technology Officer at Netflix in California. Netflix is a leading entertainment services for enjoying TV series, films and games across a wide variety of genres and languages. Prior to Netflix, she worked at Lyft as Vice President of Science. Prior to Lyft, she worked at Nuna as Chief Operating Officer. She earned her PhD in economics at Stanford University and her bachelor’s in economics at Masschusetts Institute of Technology.

39 – NovoEd Chief Technology Officer Farnaz Ronaghi

NovoEd CTO Farnaz Ronaghi

Farnaz Ronaghi is Chief Technology Officer at NovoEd in California. NovoEd provides a collaborative learning platform to empower organizations to design and deliver experiential learning. Before co-founding NovoEd over a decade ago, she was working on a PhD at Stanford University with a dissertation on collaborative learning at scale. The company spun out of Stanford University’s social algorithm laboratory in 2012. She earned her bachelor’s degree in Computer Engineering at Sharif University of Technology and her master’s in Management Science and Engineering at Stanford University.

40 – Novolex Chief Technology Officer Adrianne Tipton

Adrianne Tipton Novolex CTO

Adrianne Tipton is Chief Technology Officer at Novolex in Texas. Novolex is a leader in packaging choice, innovation and sustainability. Prior to joining Novolex over a decade ago, she worked at Cenveo as Vice President of new product development, ORC International as Vice President of business, The Clorox Company as Sales R&D Liaison. She began her career as a key accounts manager and senior process engineer at Novellus Systems. She earned her PhD in synthetic bioorganic chemistry at University of Nevada, Reno and her bachelor’s in certified chemistry at Northern Arizona University

41 – One Concern Chief Technology Officer Nicole Hu

Nicole Hu One Concern CTO

Nicole Hu is Chief Technology Officer and co-founder at One Concern in California. One Concern is a Resilience-as-a-Service solution that brings disaster science together with machine learning for better decision making. Prior to One Concern, she worked as a Software Development Engineer on critical projects in the core platform team at Flipkart, the fastest growing e-commerce platform in India. Nicole earned her master’s in Computer Science from Stanford University.

42 – Palo Alto Networks IoT Security Chief Technology Officer May Wang

May Wang Palo Alto Netowrks Internet of Things Security CTO

May Wang is Chief Technology Officer Internet of Things Security at Palo Alto Networks in California. Prior to her current role at Palo Alto Networks, May co-founded an AI-powered IoT security company Zingbox, which was acquired by Palo Alto Networks in 2019. Before Zingbox, she was a Principal Architect in the Cisco CTO Office. May earned her Ph.D. in electrical engineering at Stanford University.

43 – Pfizer Chief Digital and Technology Officer Lidia Fonseca

Lidia Fonseca Pfizer CTO

Lidia Fonseca is Chief Digital and Technology Officer at Pfizer in New York. Pfizer pursues scientific breakthroughs that change patients’ lives with revolutionary medicines. Prior to Pfizer, she was Chief Information Office at both Quest and Labcorp, Executive Vice President at Synarc, and Vice President of Supply Chain Management and Nuclear Medicine at Philips. She earned her MBA at Rotterdam School of Management, Erasmus University, and her bachelor’s in history at University of California at Berkeley.

44 – Pleo Chief Technology Officer Meri Williams

Meri Williams is Chief Technology Officer at Pleo in England. Pleo offers smart company cards that enable employees to buy the things they need for work, all while keeping a company’s finance team in control of spending. Prior to Pleo, she was Chief Technology Officer at Healx, Chief Technology Officer at Monzo Bank, Chief Technology Officer at Moo.com, Chief Technology Officer at M&S.com, Chief Technology Officer and Founder at Balloon Studios, Head of Operations for North Europe Site Services at Procter & Gamble. She earned her bachelor’s degree in Computer Science at University of Bath.

45 – Praxis Labs Chief Technology Officer Theresa Vu

Praxis Labs CTO Theresa Vu

Theresa Vu is Chief Technology Officer at Praxis Labs in New York. Praxis Labs is making society more equitable by advancing workplace inclusion and belonging. Before joining Praxis Labs, she was Senior Vice President of Engineering at Xandr, where she worked for over decade – starting as a Senior C Developer. She began her early career as an Analyst at Yahoo! and Right Media. She earned her bachelor’s degree at UC Berkeley and her master’s degree in Computer Science at Brown University.

46 – Precisely Chief Technology Officer Tendü Yoğurtçu

Tendü Yoğurtçu is Chief Technology Officer at Precisely in Massachusetts. Precisely is a leader in data integrity, providing accuracy, consistency, and context in data. Prior to joining Precisely, she worked at Syncsort, most recently as Chief Technology Officer. She began her early career as an Adjunct Professor at Stevens Institute of Technology in the Computer Science Department. She earned her PhD in Computer Science at Stevens Institute of Technology, and both her master’s in Industrial Engineering, and her bachelor’s in Computer Engineering at Boğaziçi University in Turkey.

47 – Redfin Chief Technology Officer Bridget Frey

Bridget Frey is Chief Technology Officer at Redfin in Washington. Redfin is the modern way to buy or sell a home. Redfin serves 100+ major metros in the U.S. and has saved customers more than $1B in commissions. Before joining Redfin, she was Director of Engineering at Lithium Technologies, Vice President of Development at IntrisiQ, Senior Program Manager at IMlogic, and began her early career as Software Engineering Manager at Plumtree. She earned her bachelor’s in Computer Science at Harvard University.

48 – SharkNinja Chief Technology Officer Dawn Fitzgerald

Dawn Fitzgerald SharkNinja CTO

Dawn Fitzgerald is Chief Technology Officer at SharkNinja in Massachusetts. SharkNinja is a global product design and technology company creating lifestyle solutions through innovative products for consumers. Prior to SharkNinja, she was Vice President of Engineering at American Family Insurance, Head of innovation, Platform and Analytics at Schneider Electric, Director of IT at Invensys, and Vice President of Engineering at Aurora Enterprises. She earned her MBA and master’s in engineering at Massachusetts Institute of Technology, and her bachelor’s in electrical and computer systems engineering at Rensselaer Polytechnic Institute.

49 – Slalom Chief Technology Officer Michelle Grover

Slalom CTO Michelle Grover

Michelle Grover is Chief Technology Officer at Slalom in California. Slalom is a global business and technology consulting company that is purpose-led. Before joining Slalom, she was Chief Information Officer at Twilio for a year, Consulting CTO at Softcom for a year, and Vice President of Research and Development at Tripit.

50 – Splunk Chief Technology Officer Min Wang

Min Wang Splunk CTO

Min Wang is Chief Technology Officer at Splunk in California. Splunk is a cybersecurity and observability leader. Prior to Splunk, she was a Director of Engineering at Google, Senior Vice President at Visa Research, Senior Staff Research Scientist at Google, and Distinguished Technologist at HPE. She earned her PhD in Computer Science from Duke University, and her master’s and bachelor’s degrees in Computer Science at Tsinghua University. She has published over 90 research papers and journals.

51 – Sterling Chief Technology Officer Ivneet Kaur

Ivneet Kaur is Chief Technology Officer at Sterling in Florida. Sterling is a leading provider of background and identity services with background and identity verification for trust and safety. Prior to joining Sterling, she was Chief Technology Officer at Silicon Valley Bank, Chief Technology Officer and Chief Information Officer at Equifax, Technology Leader at Equifax, Product Development Manager at Claritas, and she began her early career as Software Engineer at Microsoft. She earned her master’s degree in Engineering Management at University of Maryland.

52 – SurveyMonkey Chief Technology Officer Robin Ducot

Momentive CTO Robin Ducot

Robin Ducot is Chief Technology Officer at SurveyMonkey in California. SurveyMonkey provides enterprise solutions for agile experience management and insights. Before joining SurveyMonkey, she was Senior Vice President of Product Engineering at DocuSign, Vice President of Engineering at Eventbrite, Vice President of Web Development at Linden Lab, Vice President of Web, User Experience and Engineering Group at Adobe Systems, Vice President of Professional Services at Avolent, and began her early career as Senior Software Engineer at BGS Systems. She earned her bachelor’s degree in Computer Science and Art History at UMass Boston.

53 – Sweetgreen Chief Technology Officer Wouleta Ayele

Sweetgreen CTO Wouleta Ayele

Wouleta Ayele is Chief Technology Officer at Sweetgreen. Sweetgreen believes that real food should be convenient and accessible to everyone, making salads from scratch at scale. Before joining Sweetgreen, she was Senior Vice President of Technology at Starbucks, Senior Director of Information Systems and Business Intelligence at Attachmate, IT Leader of Corporate Technology at The Coca-Cola Company, Engineering Manager at Hyundai Motor America, and she began her early career as Enterprise Architect and Engineer at CIBA Vision. She earned her bachelor’s degree in Computer Science at Cumberland University and her master’s degree in International Finance at Mercer University.

54 – Textio Chief Technology Officer Tacita Morway

Textio CTO Tacita Morway

Tacita Morway is Chief Technology Officer at Textio in Massachusetts. Textio has developed the world’s most advanced workplace language guidance, so you can see where social bias is hiding—and exactly how to fix it. Before joining Textio, she was Executive Vice President of Engineering and Product at ActBlue, Director of Engineering at Salsify, Vice President of Engineering and Product at Ditto Labs, Director of Technology at WGBH, Founder at Tacita Gardens, Founder at Tacita Designs, Software Engineer at Context Integration for a year, IT Consultant at Wellesley College Information Services for a year, and began her early career as an Apprentice Mechanic at Chicago Auto. She earned a bachelor’s degree in Computer Science at Wellesley College, and a bachelor’s degree in Painting and Drawing at School of the Art Institute of Chicago.

55 – Thoughtworks Chief Technology Officer Rachel Laycock

Rachel Laycock Thoughtworks CTO

Rachel Laycock is Chief Technology Officer at ThoughtWorks in Delaware. Thoughtworks is a global technology consultancy that integrates strategy, design and engineering to drive digital innovation. From a Girl Geek Dinner in London, Rachel was recruited to join Thoughtworks as a developer. She completed her executive education from Columbia Business School, and earned both her master’s in information technology and bachelor’s in media technology from Teesside University.

56 – Toast Chief Technology Officer Debra Chrapaty

Toast CTO Debra Chrapaty

Debra Chrapaty is Chief Technology Officer at Toast in Washington. Toast empowers restaurants of all sizes to build great teams, increase revenue, improve operations, and delight guests. Prior to Toast, she worked as Vice President and COO Alexa at Amazon, Chief Technology Officer at Wells Fargo, Chief Operating Officer at Declara, and Corporate Vice President at Microsoft. She earned her MBA at NYU Stern and her bachelor’s in economics at Temple University.

57 – Twitch Chief Technology Officer Christine Weber

Twitch CTO Christine Weber

Christine Weber is Chief Technology Officer at Twitch in Colorado. Twitch is where thousands of communities come together for whatever, every day. Prior to Twitch, she was Interim Chief Technology Officer at Liberty Latin America, Senior Vice President of OTT Engineering at Sling TV, and was at EchoStar for 18 years, most recently as Vice President of OTT Engineering. She began her early career as a Software Engineer. She earned her degree in Computer Science and Electrical Engineering at University of Wyoming.

58 – United Way Chief Technology Officer Lawana Jones

Lawana Jones United Way CTO

Lawana Jones is Chief Technology Officer at United Way in Washington, D.C. United Way strengthens local resilience, advances health, youth opportunity, and financial security by mobilizing communities to action so all can thrive. Prior to joining United Way, Lawana was Chief Operating Officer for United Way of Greater Rochester and the Finger Lakes, Principal, Continuous Improvement Lead – IT, Transformation Office at L3Harris Technologies, and Project Director, Information Security Services at Xerox. Lawana earned her master’s in business at the University of Rochester and a bachelor’s in Business & Accounting from Nazareth College of Rochester.

59 – Verizon Connect Chief Product and Technology Officer Kinnera Angadi

Kinnera Angadi Verizon Connect CTO

Kinnera Angadi is Chief Product and Technology Officer at Verizon Connect in Pennsylvania. Verizon Connect is committed to help create a safer tomorrow by empowering our customers with the technology to use data-driven strategies to connect, coach, and champion safe driving behavior. Prior to joining Verizon Connect, she worked at Honeywell as Chief Technology Officer of Smart Energy, Comcast as Senior Director of Engineering, and Comcast as Senior Technical Project Manager. She earned her master’s in computer science at Kansas State University and bachelor’s in Information Technology at Osmania University.

60 – Wayfair Chief Technology Officer Fiona Tan

Fiona Tan Wayfair CTO

Fiona Tan is Chief Technology Officer at Wayfair in California. Wayfair is the destination for all things home: helping everyone, anywhere create their feeling of home. Prior to joining Wayfair, she worked at Walmart as the Head of Technology, Ariba as Vice President of Engineering, TIBCO as Vice President of Engineering, and Oracle as Senior Member of Technical Staff. She earned her master’s in computer science at Stanford University and her bachelor’s degree in computer science at Massachusetts Institute of Technology.

The annual list is compiled by Angie Chang.

We love seeing where women’s careers take them over the years! Technical women leaders of large and small organizations have demonstrated different pathways to moving up. Sometimes they move up over a decade. Sometimes they are recruited and hired to the top.

Some of our favorite technical women are entrepreneurial and spend time outside of the corporate arena, and instead build their own company. Maybe they join an early-stage startup. There are many more women coming up in the corporate and startup ranks.

Meet, connect, get inspired and hire women in tech!

Companies can partner with ELEVATE Virtual Conference & Career Fair in 2025! Insert your senior leader as a speaker, boost your talent brand, and recruit from our community of 40,000+ mid-to-senior women in tech globally!

Get your FREE Elevate conference pass to join the livestreaming celebration of International Women’s Day on March 6-7, 2025 with thousands of women & allies online!

Hear from 55+ women speakers sharing their expertise on engineering, leadership, career planning, interviewing, AI, much more! 

Check out the agenda + grab your FREE ticket to join the livestream event!

More inspiring women in tech & unique offers from our partners:

ELEVATE 2024 Career Fair Kickoff – Employer Intro – Voxel51 (Hiring for Engineering Manager – Remote)

Remy Schor (Recruiter at Voxel51), Lanny Wang (Software Engineer at Voxe51) and Josh Leven (VP of Engineering at Voxel51) speak about the company, hiring, open roles, and more.

A fully-remote Series B startup, Voxel51 is building a platform that empowers ML teams to create more accurate, less biased AI across a number of exciting fields, including healthcare, security, and self-driving cars.

VOXEL51 IS HIRING – REMOTE JOBS!

TRANSCRIPT

Remy Schor: Voxel51 is a 48-person Series B company. We are in growth mode currently. Essentially our tool allows computer-vision engineers to curate their visual datasets in relationship to the models they are building and refining. In 2024, we doubled our revenue and actually doubled our headcount as well. 

In 2025, we are looking to double revenue again and we’ll continue to grow responsibly, probably increasing our headcount by 50% – hopefully more… In terms of the responsible and diligent growth model that is really important to us, that  really focuses on not over-hiring and intentionally adding people to the team, so when I think about how we do that, I want to address inclusion and equity with respect to recruiting. 

I actually think hiring in general is a bit broken, and that’s not just a Voxel51 thing, I think that’s an industry-wide problem, maybe a world problem. If you are generally curious about how to stand out and be elevated in tech specifically, or with respect to your background, go ahead and watch the [resume] presentation that we just did – I think that will help you stand out.

How do I as a recruiter focus on inclusion at Voxel51 in spite of some of that noise and the distractions? And the reality is, I think it’s our commitment to the candidate experience and also to the employee experience, so both – as you get noticed and interviewed and hopefully hired, and also once you are an employee here. 

What we do really well: we are extremely flexible, and I think we do a really nice job of inclusively allowing people to live their lives. 

We ask a lot of ourselves, and we ask a lot of each others, it’s very heavy lifting as is true in most startups, but there is time and space for family and pets – I can’t believe my dogs haven’t barked in the last hour, but they are always around and constantly barking, and nobody at Voxel51 gets upset. 

That’s the sort of run down on my recruiting philosophy and a little bit about us, and I will pass it on to Josh…

Josh Leven: Awesome. Thank you Remy. Hi I’m Josh, VP of Engineering here at Voxel51. Some basics about engineering here – first of all, the company is fully remote. Execs on the east coast and the west coast. Everyone is in the US and Canadian time zones, but fully remote. We do a couple of retreats every year but otherwise you are [working] out of your home office. 

We currently have 17 engineers, and as Remy said, we are growing. We are hiring now and have plans to do hiring more next year. 

Our tech stack: Python and TypeScript. We are primarily an on-prem solution, we are not really a SaaS product, which brings with it its own engineering challenges. But I actually joined the company a few months ago and one of the biggest reasons for me is the huge impact our product has. 

We are all very aware – the AI revolution is coming – and what we are doing at Voxel51 enables the teams that are building AI models to build models that are less biased, more safe, more reliable, and helping them to get those models into production more consistently. 

We are helping a huge range of industries in doing that – we are working with companies in healthcare, autonomous vehicles, robotics, agriculture, retail, sports, and a bunch more. And even beyond that, we are not just doing that for big companies. 

We have a vibrant open source community. Everyone from college students and academic researchers, to professionals in machine learning, in addition to, of course, a growing enterprise community using our enterprise product, Another really unique thing about Voxel51 is that we are making big investments into innovation. 

Jason, one of our co-founders, is a research professor at the University of Michigan and he leads our MLE pure research teams. They are doing groundbreaking research that we then get to incorporate in our products, both open source and enterprise. 

This is one of the ways we continue to be a part of the conversation and the cutting edge of artificial intelligence. But on top of that, we want everyone at  the company to have the opportunity to keep up with that conversation, so amongst a number of other things, every other Tuesday we have an ML paper review where an expert in the field will come and walk us through one of the papers they think is really interesting and valuable. 

Alright. So I’d love to also tell you about our culture but better than me, I want to hand it off to Lanny, one of our engineers, to talk about what it’s like working at Voxel51. In fact, she’s one of the engineers on the team that works most closely with the machine learning team.

Lanny Wang: Hi, ELEVATE! My name is Lanny. I’ve worked at Voxel51 for roughly two years, so working primarily on right now the ML workflow panels, so it relates to Python side, and on the frontend with React. 

Working at Voxel51, on a daily basis, we work as human beings, even though we write code. I feel all of my coworkers at Voxel51 are very kind and respectful people. The engineers have all kinds of different backgrounds. For instance, our devops – fun fact – used to work for a circus and went to acting school twenty years ago. We truly have backgrounds from everywhere, and people are very passionate about what we do, we are very helpful, and it’s always very pleasant to work with them. 

What I enjoy the most about working at Voxel51 is having a good balance of trust, the autonomy and the flexibility to determine what I want to do, and also, when I need something from people, everyone is always approachable and reachable. 

We also have weekly syncs where we get to discuss the newest trends in tech, so while we are remote, there are ways to keep up to trend with what we talk about. We have an annual retreat where we gather in teams, discuss bigger topics and ideas together down the road. 

With engineering, things are growing so rapidly, there are a lot of opportunities to continue to optimize and improve. I feel there are definitely lots of exciting opportunities and features to work on, especially that tie to the new AI trend. 

What I enjoy most is the really tie to customers. As an engineer, I not only care about the code, personally, I care about the future I deliver to, I want to see how it impacts people, do they use it, do they like it.. there’s a way we engage with customers, usually at a conference. Usually engineers can pick one academic conference to go to each year and have face-to-face communication with our customers, it could be students and people from academic, or clients from all the industries, talk to people in agriculture, in food, in retail, not to mention autonomous driving, etc. So being able to have that first-hand feedback not only from sales, but having engagement with customer, that makes me feel very great.

VOXEL51 IS HIRING – REMOTE JOBS!

Best of ELEVATE: Beyond Cracking the Coding Interview, Finding Your Place at Work, Mentorship, Crafting Your Resume, Courage – and Career Acceleration!

Dec ELEVATE Speakers headshots ()

On December 4-5, 2024, Girl Geek X founders Angie Chang and Sukrutha Bhadouria hosted over 1k women & allies globally, with 79% attendees interested in hearing about jobs, and 30+ speakers, and 2 employers actively recruiting! Help a girl geek land her next job in tech!

Here are the top 10 most engaging sessions from ELEVATE 2024 Conference & Career Fair:

mentorship savings girl geek x west coupon discount code#1 – Beyond Cracking the Coding Interview: Opening the Door to OpportunitiesGayle Laakmann McDowell, Author of Cracking the * Interview series

#2 – Crafting Your Resume as a Signal Thru the NoiseRemy Schor, Recruiter at Voxel51

#3 – How To Sell YourselfMaria Kitaigora, Senior Enterprise Account Manager at AWS

#4 – Bloom and Thrive: Where Do You Want to Grow (Big Tech vs. Startups vs. Entrepreneurship) Janet Lee, Product Marketer at Meta & Coach at EmbraceNow

#5 – Fireside Chat: Mentorship, Goals, and Career Acceleration with WESTHeidi Williams, Founder at WEST D&I Mentorship & Chief Technology Officer at Murmuration

#6 – Courage as a Carry On: An All Inclusive Itinerary to Launching You, Leveled UpLilah Jones, Director of Key Accounts at Google & Coach at LilahJones.com

#7 – Making Pivots in Your CareerDr. Julie Huang, Staff Scientist at Alector

#8 – Cracking the System Design InterviewSukrutha Bhadouria, Director of Engineering at Salesforce & CTO at Girl Geek X

#9 – Voxel51 Employer IntroRemy Schor, Recruiter at Voxel51, Josh Leven, VP of Engineering at Voxel51, Lanny Wang, Software Engineer at Voxel51

#10 – Financial Stability 101Kristina Robinson, Senior Engineering Manager

Thank You To ELEVATE 2024 Supporters – They Are Hiring!

Special thank you to our supporters at Voxel51 and 18C for recruiting from the Girl Geek X community of mid-to-senior level technical women. We can’t wait to help another girl geek get her next job in tech.

Don’t forget to check out featured jobs from Voxel51 and 18C.

The conference theme is “Lift As You Climb.”

Speakers from Airbnb, AWS, Meta, Google, Upwork, Salesforce, Adobe, Microsoft, Workday, Walmart and more startups, spoke and answered questions, sharing career advice with attendees during their sessions, often welcoming connections on Linkedin.

If your company is looking to recruit more women this year, please don’t let them miss out on our next ELEVATE Virtual Conference & Career Fair sponsorship opportunity in March 2025 celebrating International Women’s Day!

In addition to virtual events, we partner with companies monthly on Girl Geek Dinners in the San Francisco Bay Area, booking now for 2025 dates.

Please email sponsors@girlgeek.io and we’ll be in touch.

Thank you in advance!

Angie Chang, Sukrutha Bhadouria, Amy Weicker, Amanda Beaty and the team at Girl Geek X
 
Girl Geek X ELEVATE Virtual Conference Sponsorship Prospectus

Link: Girl Geek X ELEVATE Virtual Conference Sponsorship Prospectus

Girl Geek X Dinners Sponsorship Prospectus

Link: Girl Geek X Dinners Sponsorship Prospectus

OUR PARTNERS ARE ACTIVELY HIRING!

Check out these featured career opportunities from our mission-aligned partners, and visit our open jobs page to view even more opportunities!

Feel free to list “Girl Geek X” as your referral. Forward this to a friend — Help a fellow girl geek land her next job in tech!

Girl Geek Elevate Voxel

QUOTABLE QUOTES FROM INSPIRING WOMEN IN TECH:

Gayle Laakmann McDowell ELEVATE Dec quote ()

Remy Schor ELEVATE Dec quote

Maria Kitaigora ELEVATE Dec quote




Lilah Jones ELEVATE Dec quote

Julie Huang ELEVATE Dec quote

Sukrutha Bhadouria ELEVATE Dec quote

Kristina Robinson ELEVATE Dec quote

Karishma Bhatnagar ELEVATE Dec quote ()

Bella Davis Riemer ELEVATE Dec quote

Emma Catlin ELEVATE Dec quote

Maryem Nasri ELEVATE Dec quote

Nandita Singh ELEVATE Dec quote

Rupal Haribhakti ELEVATE Dec quote ()
Gloria Wang ELEVATE Dec quote

Farhana Mustafa ELEVATE Dec quote ()

Eva Dong ELEVATE Dec quote

Haana Rafiq ELEVATE Dec quote















Koi Rivers ELEVATE Dec quote ()

Best of ELEVATE 2024: Successful Leadership & Followership, GenAI for Job Search & Career Growth, Mid-Career Transitions & Burnout Recovery

sep Elevate conference speakers headshots

September 4, 2024 – Girl Geek X: ELEVATE Conference and Career Fair for mid-to-senior women in tech hosted over a thousand women & allies globally, with 89% attendees interested in hearing about jobs, over two dozen speakers, 2 resume workshops & recruiting at virtual 18C Booth. Help a girl geek land her next job in tech!

Here are the most-watched 15 sessions from ELEVATE 2024 Conference & Career Fair! Videos are publicly shared to Girl Geek X’s YouTube channel – see our Fall playlist:

  1. From Developer to CTO – Leadership Lessons to Accelerate Your Career – Rachel Laycock (Thoughtworks Chief Technology Officer)
  2. Harnessing the Power of Generative AI for Career Growth and Innovation – Jayeeta Putatunda (Fitch Ratings Senior Data Scientist, Emerging Technology)
  3. Traits of a Successful and Effective Leader – Haibei “Happy” Wang (AuditBoard Chief Technology Officer)
  4. Resume Review for Mid-To-Senior Women in Tech – Tal Flanchraych (ApplyAll Chief Executive Officer & Founder)
  5. From Chaos to Clarity: Building My Ultimate Productivity Framework – Thamara Andrade (Cadence Principal Software Engineer)
  6. Influencing as an Individual Contributor – Roojuta Lalani (Slack Staff Backend Software Engineer)
  7. Leveraging AI Tech for Effective Job Search – Nirmayee “Nemo” Dighe (Delaware Life Senior Analyst, Data & Strategy)
  8. Navigating the Career Lattice: Building Your Path to Success Florence René (State Farm IT Product Owner)
  9. Career Fair Kickoff – 18C Intro – Danielle McLaughlin (18C Chief Executive Officer & Founder)
  10. Self-Confidence in the Face of Failure – Magda Miu (Adobe Senior Engineering Manager)
  11. Building Bridges: How Data Engineering Powers Up Analytics at Scale – Sreyashi Das (Netflix Senior Data Engineer)
  12. So You Want To Be a Leader BUT Are You a Good Follower? – Kenya Simmons (Gilead Sciences Senior Manager, IT Project Mgmt)
  13. Resume Review for Early Career Women in Tech – Jenée Smith (Microsoft Software Engineer)
  14. Mid-Career Transitions: From Program Manager to Product in Trust and Safety – Ruby Yuen (Career Coach)
  15. From Balance to Burnoutt: Prioritizing Mental Health in the Workplace – Bhavana Ramachandra (Yelp Staff Machine Learning Engineer) 

About Our Partner: 18C is a boutique engineering search firm specializing in connecting exceptional technical women leaders with transformational opportunities. By blending strategic executive recruitment with passionate advocacy, we’re creating more equitable environments at the top companies in tech. Watch 18C’s Intro for insights on product, teams, hiring process, open remote & hybrid jobs!

18C IS HIRING – REMOTE, NYC & SF!

Check out open jobs at 18C!

If your company is looking to recruit more women this year, please don’t let them miss out on our next ELEVATE Virtual Conference & Career Fair sponsorship opportunity on December 4, 2024.

We also partner monthly with companies on Girl Geek Dinners in the greater San Francisco Bay Area, booking now for 2024 and 2025. Please email us sponsors@girlgeek.io and we’ll be in touch!

Thank you in advance,

Angie Chang, Sukrutha Bhadouria, and the
team at Girl Geek X 

OUR PARTNERS ARE ACTIVELY HIRING!

Check out these featured career opportunities from our mission-aligned partners, and visit our open jobs page to view even more opportunities!

Feel free to list “Girl Geek X” as your referral. Forward this to a friend — Help a fellow girl geek land her next job in tech!

Rachel Laycock ELEVATE Sep quote
Roojuta Lalani ELEVATE Sep quote
Kenya Simmons ELEVATE Sep quote
Thamara Andrade ELEVATE Sep quote
Sreyashi Das ELEVATE Sep quote
Jayeeta Putatunda ELEVATE Sep quote
Gaganjot Kaur Kang ELEVATE Sep quote
Michelle Ng ELEVATE Sep quote
Nirmayee Dighe ELEVATE Sep quote
Tal Flanchraych ELEVATE Sep quote
Cindy Lin ELEVATE Sep quote
Danielle McLaughlin ELEVATE Sep quote

Haibei Wang ELEVATE Sep quote
Ria Bhatia ELEVATE Sep quote
Swarnika Tiwari ELEVATE Sep quote
Florence Rene ELEVATE Sep quote
Janelle Leuthaeuser ELEVATE Sep quote
Ruby Yuen ELEVATE Sep quote
Viraj Gandhi ELEVATE Sep quote
Magda Miu ELEVATE Sep quote
Brittany Perlin Danishevsky ELEVATE Sep quote
Stella Li ELEVATE Sep quote
Jenee Smith ELEVATE Sep quote
Sunnita Blount ELEVATE Sep quote
Bhavana Ramachandra ELEVATE Sep quote
Sabrina Koumoin ELEVATE Sep quote

Volunteers wanted for Oakland public school students – SIGN UP to volunteer!

Screenshot at .. AM

Sign up here to volunteer with Oakland schools!

Volunteer during Back to School Week to set up bulletin boards, organize classrooms, and help Oakland educators create a warm environment to welcome students back to school!

August 4 – 8, 2025!


Since the pandemic, Girl Geek X community volunteers have served the public school educators and students in East Oakland.

Our goal began with supporting students at our “adopted” school Coliseum College Prep Academy in Oakland, California teaching grades 6-12 with a computer science pathway. We providing access to volunteers and role models from the professional community for students in partnership with the nonprofit Oakland Education Fund, which coordinates volunteer activities with public schools in Oakland and clears volunteers for entry into the schools.

CCPA has the highest college-going rate in the district despite being located in one of Oakland’s highest poverty neighborhoods. 

Last year, we kicked off volunteering in August with Back-To-School Campus Prepsupporting Back-To-School prep with CCPA teachers on Friday, August 4, 2023 (1pm-4pm) in East Oakland!

oakland school volunteers back to school august ccpa classroom

Girl Geek X Community volunteers helped teachers with classroom projects to prepare their rooms and hallways for students return to campus for the new school year. More photos are on Facebook here. ❤️

LATINE/X READ-IN AT THORNHILL ELEMENTARY IN OAKLAND

The nonprofit Oakland Education Fund expanded access to students in Oakland elementary schools, starting with volunteering with Latine/x Read-in (Monday, October 2, 2023, 1pm – 2:30pm). Volunteers read books by Latine/x and Hispanic authors to students at Thornhill Elementary.

Girl Geek X volunteers at Latine/x Read-In (pictured from left: Thornhill Elementary School Librarian Marie Fox, Girl Geek X Founder Angie Chang, Customer Success Leader Haana Rafiq, Playground Global Principal People Operations Sylvia Donohoe, Technical Operations Leader Belisa Mandarano, Flexport Software Engineers Bryanna Valdivia and Rachel Colby, and Syntiant Director of HR Jenny Garcia).

oakland latinex read in oct girl geek x thornhill elementary

Volunteers read aloud books to 2-3 elementary school classes that celebrate Latine/x culture in the 90-minute volunteer shift. Books and sample questions to guide conversations were provided by the Oakland Education Fund. More photos are on Facebook here. ❤️

FIRST-GEN COLLEGE & CAREER PANEL AT CCPA IN OAKLAND

girl geek x ccpa career panel vanessa Vanessa magana an nguyen molly dubow bryanna valdivia elizabeth orpina

The Girl Geek X CCPA career panel (Wednesday, October 4, 2pm-4pm), moderated by Vanessa Magaña with An Nguyen, Molly Dubow, Bryanna Valdivia, and Elizabeth Orpina shared advice from first-generation students now working in the technology industry. Read about the takeaways from the panel. ❤️

HELPING STUDENTS WITH CSU AND UC APPLICATIONS IN OAKLAND NOVEMBER 3 AND / OR NOVEMBER 17

college writing girl geek x

Volunteers supported seniors’s college applications, providing crucial feedback on grammar, flow, and clarity of writing during “College Crunch Days” – these are dedicated school days for high school seniors to work on their UC admissions applications.

girl geek x volunteers college crunch days november

Note: a writing/comms background is NOT required to participate! Any experience writing in an academic/professional setting will be sufficient to participate in this event.

Volunteer shifts are 8:30am-12:30pm on Friday, November 3, 2023 and/or Friday, November 17, 2023 at CCPA’s College & Career Day office. More photos are on Facebook here.


techlink

Join the launch of the virtual mentorship program at CCPA with TechLink to connect volunteers with students this spring!

How to volunteer virtually with Girl Geek X CCPA via TechLink:

  1. Apply to Mentor with TechLink by January 18, 2024.
  2. Complete your Live Scan fingerprinting as required by Oakland Unified School District and Oakland Education Fund policy for virtual volunteer clearance for California.

Questions? Email rafael@oaklandedfund.org

We are looking for TechLink VOLUNTEERS to meet virtually with CCPA sophomores and juniors during the Spring 2024 semester!

Volunteer Mentors will meet on Fridays for ~11 sessions virtually from February thru April 2024.

While TechLink is a virtual mentorship program, Mentors are welcome to volunteer IRL and have lunch with their Mentees at the East Oakland school.

Thank you so much for supporting Oakland public schools and students!

STUDENT PROJECT FEEDBACK (WINTER EXPO NIGHT IS JANUARY 25, 2024)

senior capstones april sobriety companion features

Girl Geek X volunteers support public school students and educators at Coliseum College Prep Academy (CCPA) in East Oakland. The school entrance is on the corner of 66th Ave and International Blvd. (map)

On Thursday, January 25, 2024 (5:30pm-7pm), CCPA educators and students will be joined by Girl Geek X community volunteers to receive feedback on Senior Capstone Projects.

Sign up to volunteer with us on January 25!

AFRICAN-AMERICAN READ-IN AT BELLA VISTA ELEMENTARY IN OAKLAND ON FEBRUARY 14, 2024

read in oakland girl geek x

VOLUNTEER ON FEB 14 – READ BOOKS TO BELLA VISTA ELEMENTARY STUDENTS!

Bella Vista Elementary is located by Oakland’s Highland Hospital.

On Wednesday, February 14, 2023 (9:30am-11:00am), Girl Geek X Community Volunteers will read books to 2-3 elementary school classes that celebrate African-American culture in the 90-minute volunteer shift. Books and sample questions to guide conversations are provided by the Oakland Education Fund.

Volunteers do not need to identify as African-American to participate, and those who do identify as such are encouraged to participate and share about their culture with students.

SIGN UP FOR VOLUNTEERING AT THE AFRICAN-AMERICAN READ-IN ON OCTOBER 2!

Don’t forget to spread the word and invite your coworkers & friends to join you in volunteering! Volunteering together not only strengthens our impact, but also provides a chance to bond.

This event is organized in partnership with the nonprofit Oakland Public Education Fund, which connects groups with schools to make a positive impact on school culture and student achievement through relevant and meaningful volunteer projects.

Our partnership goal is to support students in East Oakland, CA by partnering on a variety of volunteer activities throughout the school year — from volunteering on-campus to field trips to tech companies.

girl geek x osv impact reports
girl geek x osv impact reports

Take Our Girl Geek X She+ Geeks Out Survey — And Help Us Make The Workplace Better!

survey says girl geek x she geeks out workplace survey

We want to understand your firsthand experiences, as well as priorities, so everyone can support organizations in shaping a more positive and productive work environments for all.

Please help us by taking this 5–10 minute workplace survey: https://www.surveymonkey.com/r/workplacegirlgeek

We seek to understand where disconnections and misaligned priorities exist between business leadership and employees to better facilitate mutual understanding and bring dignity back to the workplace. Survey results will be anonymously grouped, shared, and themes presented to better showcase employees’ experiences.

Girl Geek X is partnering with She+ Geeks Out with a mission to improve the work experience for everyone. (Here’s where you come in.)

We’re conducting this survey to gather real stories and experiences from people. Your insights are crucial to understanding the challenges we all face and advocating for change.

Whether you’re a recent graduate, a seasoned team contributor, or a business owner, sharing your experience (it’s anonymous!) can help build a movement for better work environments. Your story matters.

Imagine a workplace where you:

  • Feel valued and appreciated
  • Have opportunities for growth and development
  • Can maintain a healthy work-life balance

Taking this quick survey can help make that vision a reality.

Please take our 10-minute survey here: https://www.surveymonkey.com/r/workplacegirlgeek

After completing the survey, you can enter to win a gift card or sticker prize pack. Thank you for your time and contribution. Together, we can create a brighter future for work!

Sincerely,

The Team at Girl Geek X and She+ Geeks Out

P.S. Know someone who’s passionate about building a better work environment? Share this survey with them!

https://www.surveymonkey.com/r/workplacegirlgeek

Best of ELEVATE 2024: From Non-Linear Paths to LLMs, Staff Engineering, Being Visible, & Human Impact

girl geek x elevate summer conference speakers speaking women in tech speakers

June, 5, 2024 – Girl Geek X: ELEVATE Conference and Career Fair for mid-to-senior women in tech hosted over a thousand women & allies globally, with 85% attendees interested in hearing about jobs, over two dozen speakers, & recruiting at virtual Employer Booths. Help a girl geek land her next job in tech!

Here are the most-watched 15 sessions from June’s ELEVATE 2024 Conference & Career Fair! Videos are publicly shared to Girl Geek X’s YouTube channel:

  1. My Non-Linear Path to Vice President of Engineering – Rashmi Channarayapattna (Salesforce Vice President of Engineering)
  2. Career Fair Kickoff: Employer & Company Introduction – Attentive – Katie Ledoux (Attentive Chief Information Security Officer), Neha Srivastava (Attentive Staff Software Engineer at Attentive), Margho Dunnahoo-Kirsch (Attentive Director of Recruiting)
  3. LLM-Powered Agents: GenAI’s Next Frontier – Shelby Heinecke (Salesforce Senior AI Research Manager)
  4. 5 Practical Tips To Be An Effective Staff Engineer – Swathi Sundar (Benchling Head of System of Record Engineering)
  5. Connect to Thrive: The Power of Building Networks – Eirini Syka Lerioti (ASML Developer Relations Program Manager)
  6. Self Advocacy for Introverts – Shradha Doshi (Comcast Senior Product Manager)
  7. Be Visible: Overcoming the Queasiness of Self Promotion – Lade Tawak (UX Researcher)
  8. Reducing Bias in the Workplace – Boomie Odumade (Senior Director of Engineering, MIG)
  9. From SWE to Executive Director – Sweta Sinha (Executive Director, Data Products Platform, JP Morgan Chase)
  10. Responsible Use of Generative AI – Pratibha Rathore (Meta Tech Lead, Applied Research Scientist)
  11. From Code to Consequences: Software’s Human Impact – Christina Liu (Cisco Senior Security Engineer)
  12. Finding Your Voice in Tech as a Non-Technical Woman, Non-Binary Product Manager – Sowmya Subramanian (Development Seed Product Manager)
  13. Everything You Need To Know About Customer Facing Roles in Tech – Rosie Sennett (Splunk Staff Sales Engineer)
  14. Scaling Key-Value Stores: Adaptive Strategies for Diverse Access Needs at Any Scale – Vidhya Arvind (Netflix Staff Software Engineer)
  15. Create Your Own Custom GPT on OpenAI’s ChatGPT – Dimitra Charalampopoulou (Intel ML Engineer)

About Our Sponsor: Attentive® is the AI marketing platform for leading brands, designed to optimize message performance through 1:1 SMS and email interactions. Infusing intelligence at every stage of the consumer’s purchasing journey. Watch Attentive’s Employer Intro for insights on product, teams, hiring process, open remote & hybrid jobs.

ATTENTIVE IS HIRING – REMOTE, NYC & SF!

Check out open jobs at Attentive!

If your company is looking to recruit more women this year, please don’t let them miss out on our next ELEVATE Virtual Conference & Career Fair sponsorship opportunity on June 5.

We also partner with companies monthly on Girl Geek Dinners in the San Francisco Bay Area, booking now for 2024 summer and fall.

Please email sponsors@girlgeek.io and we’ll be in touch.

Thank you in advance!

Angie Chang, Sukrutha Bhadouria, Amy Weicker, Amanda Beaty and the team at Girl Geek X
 

OUR PARTNERS ARE ACTIVELY HIRING!

Check out these featured career opportunities from our mission-aligned partners, and visit our open jobs page to view even more opportunities!

Feel free to list “Girl Geek X” as your referral. Forward this to a friend — Help a fellow girl geek land her next job in tech!

Rashmi Channarayapattna ELEVATE June quote
Boomie Odumade ELEVATE June quote
Swathi Sundar ELEVATE June quote
Sowmya Subramanian ELEVATE June quote ()
Shelby Heinecke ELEVATE June quote
Margaret Wang Johnston ELEVATE June quote

Daniela Steinsapir ELEVATE June quote
Eirini Lerioti ELEVATE June quote

Manali Rane ELEVATE June quote

Sweta Sinha ELEVATE June quote

Christina Liu ELEVATE June quote

Nataliya Nadtoka ELEVATE June quote

Vandana Sharma ELEVATE June quote


Neha Srivastava ELEVATE June quote

Dimitra Charalampopoulou ELEVATE June quote

Shannon Cassidy ELEVATE June quote

Ashleigh Lee ELEVATE June quote

Pratibha Rathore ELEVATE June quote


Rosie Sennett ELEVATE June quote

Vidhya Arvind ELEVATE June quote

Jessie Heng ELEVATE June quote

Shubhi Asthana ELEVATE June quote


Lade Tawak ELEVATE June quote ()

Chisom Nwokwu ELEVATE June quote

Shradha Doshi ELEVATE June quote

ELEVATE 2024 Career Fair Kickoff – Employer Intro – Attentive (Video + Transcript)

Katie Ledoux (Chief Information Security Officer at Attentive), Neha Srivastava (Staff Software Engineer at Attentive) and Margho Dunnahoo-Kirsch (Director of Recruiting at Attentive) speak about the company, hiring, open roles, and more.

Attentive® is the AI marketing platform for leading brands, designed to optimize message performance through 1:1 SMS and email interactions.

ATTENTIVE IS HIRING – REMOTE, SF, NYC & MORE!

Check out open jobs at Attentive!

TRANSCRIPT OF ELEVATE SESSION:



Katie Ledoux:

Hi everyone. I’m going to introduce myself first. I’m Katie Ledoux. I am the Chief Information Security Officer at Attentive. Neha. You want to go next?

Neha Srivastava:

Yes. Hi, I’m Nehes Srivastava. I’m a Staff Engineer in the Product Engineering org at Attentive.

Margho Dunnahoo-Kirsch:

And I’m Margo. I’m director of recruiting over here at Attentive. Cool. Katie, kick us off.

Katie Ledoux:

Yes. Little bit about who we are, attentive, really pioneered text message marketing, and let’s give you a little bit of the Attentive experience.

I’d love to invite you to text “Hire me” to the number 2 1 7 1 8 and Neha, you’re going to put that in the comments, right? Thank you. You should be getting a message back from us shortly.

You may have interacted with some of our customers on SMS before, maybe you get texted a coupon code from your favorite brands.

We work with companies like H&M, Wayfair, Reebok, Margot just watched me through the companies I was allowed to name yesterday, Urban Outfitters, I’m allowed to name them.

Margho Dunnahoo-Kirsch:

Chanel.

Katie Ledoux:

Yes, and other funny ones that I can’t name, but just trust me, they’re funny in terms of where we are going as a company.

We’re really moving away from a world slowly, but over time we think marketing is going to move away from a world where our customers are sending massive messages to all of their subscribers or to big chunks of their subscribers and really moving towards one-to-one messaging.

I say slowly some of a lot of our customers are already doing this may be some more legacy customers, it’ll take them a little longer to move in that direction.

We really want to go to a place where we’re sending you as a subscriber exactly the right message from exactly the right brand that you’re interested in, at exactly the time that you want to make this purchase for an item that you are actually interested in buying instead of a link to a page of a billion different things that are on sale.

That’s the journey, and of course that’s powered by AI and ML and Neha. Maybe you can…

Neha Srivastava:

Yeah, absolutely. A little bit more. Yeah, absolutely. As Katie mentioned, Attentive Engineering’s biggest challenge right now is to deliver extremely personalized experiences to subscribers of our clients.

Now this isn’t very interesting problem if you really think about it because unlike others, we’re evolving from being a marketing tool to an active partner to the marketing departments of various companies.

We are doing lots of exciting things, which range from writing AI ML models to generating product recommendations and figuring out the best time to send a marketing text. And this is all driven out of the personalization. This is using AI and ML for the benefit of marketing to drive higher productivity, but also great experience for the end user.

Instead of getting a generic text that says, “Hey, Neha, come buy shoes,” and all the links that you get are all men’s shoes, which don’t even appear in my size, which leads to a frustrating experience, you would actually be directed to, “Hey Neha, you were checking out this great shoe at your favorite brand the other day. We found some other recommendations that you might like, which are in my size and available” and I can buy right now and potentially even in my budget.

Driving this life of type of personalization is a very complex engineering challenge and I’m very excited to be working on this. By the way, that’s my project, so that’s why I can talk too much about it.

The problems we’re looking to solve are ahead of the game, yet complex and challenging so that if you’re like me, someone who gets excited about solving complex problems for the business, you’d absolutely love it here.

Generally speaking, our product engineering orgs sits in a New York platform, is remote and AI ML teams sit in SF.

However, almost all of the projects are extremely cross-functional, so regardless of which location you’re in, you’ll end up working on the same projects and you’ll get a piece of the pie and problems that you would love to solve.

We’re hiring across the board and Margo will tell you all about that.

Margho Dunnahoo-Kirsch:

Awesome. Thanks Neha. Alright, let’s talk recruiting. Our engineering org is about 230 people spread out across the US.

We do have offices in San Francisco and in New York. Our interview process for a standard software engineer is really consistent across all of our teams and locations.

It’s about a 3-week process starting off with a recruiter screen. Then, you move to a 60 minute interview with one of our senior engineers. That conversation is going to be really digging into past experience. What was your role? What was the complexity of the work?

You’ll do a backend coding challenge and then that will be followed up by a reverse architecture conversation.

Once that is complete, we invite you to meet with about four to five more members of the team. This includes coding challenges and architecture interviews, and then discussions with hiring managers.

Don’t worry, a recruiter will prep you for all of that beforehand, then we also do do team assignments at the debrief stage.

We try to really match you with a team that aligns with your experience and interests, and then we’ll get you set up with a few members of those teams so you can learn more about what your impact would be, what you’d be working on, all that kind of stuff.

We have two offices, so we have New York and San Francisco. New York is our headquarters, but the majority of the employees are remotely. I’m actually coming at you from Denver, so this is where I am, home base. My team is primarily in San Francisco, but I do feel super connected to everyone.

The company has a really good job of driving engagement, which brings me to our culture and talking about our employee engagement team, so we do a full company offsite, annually. We do engineering team offsites every year, but then we also do a lot of virtual engagement activities.

Our employee engagement team just hosted a few virtual events. My favorite was the how to make your spring, how to build your own spring roll. We had a floral arrangement class recently and then we also had a good one around understanding the anatomy of our anxiety to honor mental health awareness month.

Just a little bit about us. I know Katie Ledoux’s team is hiring, Neha’s team is hiring, so we would love to have you guys come stop by our booth and meet with us. And then a few members of our attentive Woman Engineering ERG group. Cool. We crushed it.

Katie Ledoux:

We did. Can we use our three minutes for questions?

Someone asked: If we hire entry level engineers, we do have an engineer two role up right now, but that’s the most junior role we have right now.

I can’t speak for every engineering team at Attentive, but it’s going to be important for us on some of these newer teams to make sure that we have the levels of leadership in place before we bring on brand new entry level people so that they have the mentorship that they need to be successful on those teams.

Margho Dunnahoo-Kirsch:

A hundred percent, yes. We just posted, we have three software engineering roles just posted.

One is on our BI team, led by one of our engineering managers, and then we have two engineering twos, one that just got posted for remote employees, and then one that just got posted for San Francisco.

Hybrid – You’d be coming on site three days a week to our San Francisco office in the financial district. And then, Neha has teams mainly looking for some senior level engineers.

Katie Ledoux:

I saw one question. You definitely do not need a background in AI machine learning to apply. If you go on the career site, there’s a breadth of roles across infrastructure security. it it’s definitely not exclusively AI ML roles especially.

Neha Srivastava:

I have no experience in AI. I’m not an AI expert. Just to be clear, I am leading AI ML project and I have no experience on it because the way we think about this is it’s a product, right? A model is developed and then we pipeline it all the way to make it into a product.

I am a backend focused product engineer, so my job is to make sure that the model is delivering value as a product. I’m overseeing the whole thing and helping with the design and the architecture of it, but I’m not doing the modeling myself.

Margho Dunnahoo-Kirsch:

Answering a few questions interested in non-engineering roles. Would you be able to hold a conversation with me? Yes, a hundred percent. We are hiring and go to market g and a, and I also oversee those teams, so a hundred percent can talk to you about that.

We are only hiring in the US for engineering roles. Yes, for a few of our sales positions, we do hire in London as well as Australia. But just for engineering for now, we are primarily just us. We do support visas.

ATTENTIVE IS HIRING!

Check out open jobs at Attentive!

elevate career fair booth june attentive reps

“Developer Experience”: Soumya Lakshmi with Adobe (Video + Transcript)

In this ELEVATE session, Soumya Lakshmi (Director of Engineering at Adobe) speaks about developer experience (DevX): productivity, impact, and satisfaction as keys to quality and collaboration.

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

Soumya Lakshmi ELEVATE Developer Experience DevX move fast with quality

Transcript of ELEVATE Session:

Soumya Lakshmi:

Thank you Sukrutha. Hi everyone. Happy Women’s Day and thank you Sukrutha Angie and the ELEVATE team for giving me this opportunity on Women’s Day. I’m here today to talk about DevX. DevX is called developer experience. This is going to be a little geeky talk, so bear with me. It’s purely from the engineering side, but I promise I have a story to say, which is what I’m going to start with.

I grew up in India and reflecting on my childhood in India, we did a lot of train journeys. Train journey was sort of the internal part of our family outing. These adventures began long before the train even arrived. It sort of marked the anticipation and the flurry of preparation. And each journey meant packing our bags with care, ensuring that we have everything needed for the trip. Upon reaching the station, our next step would be to find a porter or a coolie, is what we call locally in the Indian language.

Now, watching these skilled porters effortlessly balance their entire family, our entire family luggage, where I’ll show you a picture, I hope it’s pretty clear. I try to get a picture where a porter is carrying a lot of luggages. There’s one couple on his head and there’s two, one on his right shoulder, one on his left shoulder, and then he just carries around. Now it’s a real skill to carry the entire family’s luggage on their heads and arms, and there was nothing short of remarkable. Now they carried our burdens, allowing us to navigate the crowded station with ease, transforming our potential strenuous part of our journey with this seamless experience.

Now, why am I saying this? What has this got to do with the developer experience? Now, this memory serves as a powerful metaphor for a challenge faced by our developers and the engineers today. In many ways, they are like the coolies or the porters of the digital world, just as the porter prepares the physical journey. Let me go to the next slide. There we go.

Just as the porter prepares for the physical journey by strategically balancing the load to carry our developers and engineering teams and engineers geared up to the journey of innovation, excited about the possibilities of deploying really exciting features, but they also weigh into the inefficiencies that accompanies with the role and these inefficiencies being slow build processes, inadequate infrastructure, sparse test automation, nebulous documentation, and ever looming shadow of the tech debt, which never gets over are the suitcases of the software development industry that exists today.

Now, these are necessary parts of the journey containing assets and tools along the road. Yet this is a cumbersome process, slowing the pace down, clouding the excitement, and at the end of it, it seems really tiring.

Why then should our digital porters or coolies, the developers and engineers whose innovation propels us forward, accept the struggle as given, just as an introduction of wheeled luggages, revolutionized travel for many of the load or managing the load because adding wheels to suitcase? It really did not change the functionality of the suitcase, but what it did is made a hard task easier, and that’s really what DevX is. That’s exactly what the crux of the developer experience is.

Let me talk a little bit about the recipe of what I think, and GitHub completely agrees with this, is of what a DevX is.

DevX can be viewed in many different lenses, and this has become a common buzzword in the industry, but a lot of companies have started to put as this is an org and this is a team and we are investing in it, but what exactly is this? And it can be viewed in many different lenses. I think that the formula for DevX incorporates few key eight things.

First, it takes into account how efficiently and productively a developer can do their best work on any given project. The second one, how simple is it to make a code change and how easy is it to move from idea to putting it into production? Today, if I have an idea in mind, how long does it take for me for that idea to be delivered in the hands of our users?

Soumya Lakshmi Adobe DevX Productivity Impact Satisfaction Developer Experience

DevX also examines how positively or negatively the work environment, the workflows, the tools, the technologies that affect the engineering satisfaction. By eliminating some of these friction and inefficiencies, we can multiply our operational impact. Now, if we want to move fast, it is easy, but if we want to move fast with quality is when the tricky part comes.

Collaboration and quality is also the integral piece of what a DevX is. If our engineers are productive and if they love what they’re doing, and if collaboration is smooth and quality is the integral part of it, then we have a good DevX and DevX is great. Yes, we want everything. I mean, who doesn’t, right?

Let’s see. Okay, why is this important Now, why are we talking about this? This seems pretty obvious to some extent, but why is it becoming even more important now? Because of the macroeconomic climate in the industry, the economic uncertainty is shaking up the tech industry with increased pressure on infrastructure and engineering teams to optimize cost. At the same time, we also realized that the progress and innovation must be accelerated as it is the key lever to create business value and success for digital initiatives and boost revenue of organizations and with restricted budgets.

That’s the key point. There was a survey or a snapshot that was done February of 2023. It’s called the Forrester Opportunity Snapshot, and what they did is they looked across 500 enterprise companies across United States and they did a survey of what the companies think that they should be focusing on to innovate.

Now, this company who does this survey is their focus is digital transformation, and organizations are recognizing and making sure that the operational excellence is on par with a restricted budget. These were some of the results of the survey. I won’t go into a lot of details because it is a lot of numbers. I’ll still talk about the top four key findings that came out of the survey.

The first key finding is the need to increase efficiency as a key focus. Yes, there is no headcount. There’s no incremental headcount. The companies are not hiring as much as they were and the climate, the microeconomic climate is extremely challenging, but we still need to innovate. To keep up with the pace of the digital transformation, organizations are recognizing that the need for developers to build, deliver software with greater efficiencies before.

Me as an engineer, it’s been a while I wrote code, but as an engineer, if I’m able to write one pull request in one day, then how is my company, how is my company providing the tools and technologies for me to merge two or three per request? That’s where the industry is going, and that’s where the crux of DevX is. Now, according to this research, 87% of the leaders agree that increasing the developer productivity is a priority for the next 12 months, while 85% say that better meeting customer demand will be their focus, and 85% say that shortening the release cycles, but would be the key factors involved.

The second key finding is several obstacles will hinder developer productivity. Now, developer productivity is not as simple as, Hey, you give me a tool and a framework and I can make things happen. There are a lot of different things that go into the combination of uncertain economic outlook, increased competition, shifting, customer demand, and the hybrid work as well as the DevOps methodology. This is all highlighted in the report. If you take a look at these numbers, 41% of the respondents say that developer productivity and experience building difficult to improve because of pandemic related issues like onboarding, training, mentoring. The face value is gone, and I’m sure things are improving eventually, but we need to strike a balance and focus more on not just the user experience but also the engineering or developer experience. The key finding three is having an internal developer platform, or an IDP, to boost developer productivity.

What’s the solution? You just give an IDP and then that’s the solution. Well, according to the snapshot or according to the survey, they said that IDP enabled a self-service for developers, helping them to become less reliant on operations and reducing bottlenecks that caused by ticket ops and whatnot.

This is one of the biggest pain points caused by increasing complexity of cloud architecture. Not only do platforms help alleviate this challenge, but they also have a potential huge impact on developer velocity and satisfaction by optimizing developer workloads and freeing up teams to focus on value adding work.

And the last one is the developer experience impacts overall business. It’s not just that we make strides and we make improvements to the developer experience and only engineering teams is benefited. Let me go forward a little bit. There we go. This talks about the survey also took into account teams who already invested in an org like DevX, and this is what they found. They found that it not just improved the engineering productivity, but it improved app development, time to market, customer attraction and retention. On the delivery side, there was brand recognition reputation, and on the operations side we had revenue growth and developer recruitment, retention and profitability.

Alright, so I think there was a lot of numbers. What is the crux of this conversation and where are we headed? In conclusion, what I do, I have about five minutes and I can take questions after this. In conclusion, what I would really like to add is think about it like adding wheels to your suitcase. 20, 30 years we all traveled, lugging our baggage or somebody else carried it for us instead.

The simple solution of adding wheels really made all our jobs easier. We could just go anywhere in the world lugging our luggage right behind us because the wheels take care of it. The wheels don’t necessarily improve the functionality of the suitcase, but it does do a lot of heavy lifting.

Think of DevX as the heavy lifting of the software development, a thing of the past. And we are not just enhancing the developer experience, but we are also enhancing the growth and innovation in the coming years. Thank you.

Sukrutha Bhadouria:

There are some questions here. There’s one question. How do I get started with using DevX for my company?

Soumya Lakshmi:

That’s a great question. Depending on which stage your company is and at what point there is readiness, there might be a few different things. I can speak from Adobe’s perspective. Adobe, I don’t think a year ago DevX was even a thing we started talking about, like I said in the presentation, we were not there.

We were not hiring and headcount was crucial, but we still had to make improvements. But there were different teams and members of the team who were already doing this kind of work.

One of the things you could do is create a working group across different products within the organization to see what needs to happen and how you can share and reproduce to share and sort of reuse some of the frameworks and toolings that you’re doing. That could be the first step.

Then, meeting often online of course, I mean, and setting up a roadmap of what is important and what are the gaps, and at least starting this conversation in the devs direction might be the first step towards it.

I’ll also add that there are a lot of resources available online because again, all the companies, many companies are realizing that our user experience and customer experience is crucial, but so is our engineering and developer experience. That might be a good starting point.

I’m available and you’re welcome to reach out to me personally and I’m happy to provide guidance on that front as well.

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

“Using Data To Guide Product Strategy & Product Roadmap”: Poornima Muthukumar with Microsoft (Video + Transcript)

In this ELEVATE session, Poornima Muthukumar (Senior Technical Product Manager at Microsoft) shares how data can help product managers validate their assumptions, test their hypotheses, and measure their outcomes.

Attendees learn to build data-driven products backed by insightful analysis and how to utilize big data, data science and machine learning to inform complex product decisions.

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

Poornima Muthukumar ELEVATE Awareness of different machine learning models and algorithms to partner and build and deliver the feature as product manager

Transcript of ELEVATE Session:

Poornima Muthukumar:

Hi everyone. Good morning. Thank you so much for joining today’s presentation. I’m super excited to speak to all of you today on how to unlock product growth with big data, data science, and machine learning. Some of you might be interested in getting into a career either as a data scientist, business analyst, data engineer, technical product manager. so if you’re in any of these careers, I hope that this talk resonates with you and I hope that you can take back something for your job.

I also want to thank the Girl Geek IO for giving me this opportunity to speak to all of you today. And I want to add that I’m not speaking on behalf of Microsoft, but rather sharing the knowledge and experience that I have gained along the way in my journey. So yeah, without further ado, let’s get started. Brief look into today’s agenda so you know what you can expect from this talk.

First, we’ll go over my background so there is context on some of the things that I shared. Next, I will talk about how data is at the center of nearly every product you own and how that data is used to customize product to your needs, allowing companies like Netflix and Uber to build great data-driven products.

Next, we’ll talk about why companies need individuals who can use data from all of that big data, and what are those different data types that you as a product manager can leverage to extract insight to give customers the product that you want. And finally, if we have time, we will take some question and answers. Cool.

A brief background. I grew up in India. I spent a majority of my childhood in Mumbai and Chennai finishing my education in India. Post that I went to Singapore where I got my bachelor’s degree in computer engineering from the National University of Singapore. During my time at Singapore, I also interned at Bank of America and Goldman Sachs as a software engineer. After that, I went to New York where I worked in Goldman Sachs as a software engineer, building software for banking systems and capital market. After that, I went to Ireland where I worked in Microsoft Ireland research center as a software engineer in the office team. During there, I also traveled all across Europe, so that was a lot of fun.

After that, I came to Seattle where I grew in my career as a senior software engineer in the office release and delivery experience team at Microsoft. My team was basically in charge of delivering office updates that you got each month for all of your apps, like Word, Excel, PowerPoint on all platforms like Mac, iOS, windows, and Android. During this time is where I realized the power of big data and decided to pursue my part-time masters in data science from the University of Washington.

I also transitioned into my career as a senior technical product manager for the Microsoft 365 team because I wanted to have an end-to-end breadth of ownership of a product and be able to do that in a data-driven fashion. Today I am a data science volunteer at the Women in Data Science Puget Sound Community. I own patents in AI,ML, and big data at Microsoft. I am also volunteering at the UDub Foster School of Business as a product management accelerator.

Here I have five products that I want to quickly talk about how these companies are using data to drive their product growth. Netflix is something that all of us know how. Netflix uses data to build a recommendation model. They also use data to decide how to invest their money and what kind of producing content that resonates with user. They also use data to decide which movie to store and which CDN location based on where the users are streaming movie from in order to efficiently stream movies so that they can optimize for storage cost of CDN.

We know Tesla uses data for powering their autonomous driving system. They also have these cameras and sensors that’s constantly sending data back to Tesla, which in turn is used to optimize their self-driving car.

Amazon is one such product that uses data throughout their entire product stack. They use it for their search result optimization for price forecasting, warehouse optimization, inventory management. There’s just many, many ways that Amazon uses data because it has such a huge customer base. They have all of that huge amount of data which they can use to build and improve their product constantly.

Instagram, I’m sure all of you are aware that all the reels and all the contents and all the things that you see, there is a machine learning model that is running real time customized for you.

That is taking in all your engagement data, that is taking in all your usage data, which in turn is used to customize the model and send data back to you, which in turn gives you content that resonates with you in order to keep you on the product longer.

Next, we have Microsoft 365. Obviously now we have copilot. We have all of that ChatGPT integration that integrates with all your different Office 365 apps in order to give you in order to optimize your productivity suite experience with Microsoft, so if you see what is common to all of these products is they have a huge customer base that generate a huge amount of data, and today’s storage and compute and processing has become so cheap that you can store all of this data.

You can run data science techniques, you can run machine learning models, you can run algorithms on top of it to extract in site, which in turn can be used to optimize your product, which in turn can be used to build products that delight your customers.

Let’s say you join as a product manager for any of these products. You are constantly getting data from various signals. Could be feedback data, could be usage data, could be finance data, could be sales data engagement, data retention data.

How do you as a product manager organize all of this data in a clever way, in an intelligent way so that you can extract insight, which in turn can be used to drive product growth? How do you leverage those different data science algorithms techniques to optimize your product? Which is why I feel that the future of technical product management involves the melding of data science and product management because there’s so much that you can leverage to drive product optimization.

What you can expect from this talk is how to build data-driven products backed by insightful analysis and how can you utilize big data, data science and machine learning to inform complex product decisions.

Here are list seven techniques that I use in my day-to-day job to drive product growth and use data to drive them. First, I list the seven techniques, but because of the time constraint, I’ll only go in detail into three of them today in the talk. Tthe first one being funnel analysis, funnel analysis, how do you look at your customer journey end to end and see where customers are dropping off in the funnel so you can optimize your customer journey and thereby improve the conversion rate.

Next is retention analysis, right? Retention is a very important metric for any product. It’s great to have customers sign up for your product, but you also want to see of that, how many of them are actually using your product? How many of them are enjoying using your product? Let’s say you have a subscription service. You want to know what percentage of customers are renewing your subscription versus what percentage are canceling your subscription.

Next is segmentation analysis is how do you slice and dice your customers segment based on different things? Could be customer demographics, could be age, income, gender, their preferences, their needs of their purchase characteristics. How do you take all of this different data and slice and dice your customer into different segments, which will help you identify your most profitable segment and in turn cater your products differently to different segments?

Next is engagement analysis. This is how do customers interact with your product? How often do they interact with your product? How deeply do they interact with your product? What is it about your product that they like and what is it that they don’t like? So let’s say you have a website and you notice that majority of your customers have who visit the website, leave the website in a very short duration of time, right?

Let’s say you’re noticing that majority of your customers have a very short session duration. How do you use this data? Once you measure it, you have this data and now that you have that data, how do you use it to understand how you can improve engagement for your product?

Next is feedback. Feedback analysis is nothing but how do you collect feedback from various signal sources? Like could be feedback or [inaudible] ratings, reviews, all of that data and use that to understand what are your strengths and weaknesses for your product. And next is AB experimentation. This is where you show two different variations of your product to your customer and see which one resonates with your user and use that data to eventually launch the change to all the users.

And finally, machine learning. Machine learning is a very important tool that as a product manager you can leverage to give user centric and innovative solutions for your customers.

It’s important for you to know and have an awareness of what are the different machine learning models, algorithms so you can partner effectively with your engineering team, with your data science team to build the end-to-end pipeline to deliver the feature. Of these seven techniques, we will first look at funnel analysis. Like I already said, funnel analysis is a method used to analyze the sequence of events leading up to a point of conversion. Let’s say you have an e-commerce website.

Let’s look at one customer journey, right? Let’s say the customer came to your website, they searched for a product that they wanted to purchase, they added the product to cart, they went through checkout, and at which case they finally completed the purchase, right? This is just one customer, but not every customer will follow the same journey. Some maybe will come to your website, at which point they lose interest and they leave.

Some maybe will come to your website, they’ll add the product to cart, at which point they leave only a small section of customer eventually go all the way up till purchase, entering their payment details and completing, which is why it looks like a funnel. The ideal journey is obviously the whole thing. You want every customer to go through every step, but the funnel keeps getting shorter because customers keep dropping off.

Once you have this data, let’s say you measured this data for your journey for whichever feature you own, you measured the data in the form of a funnel, and let’s say you notice that majority of your customers are dropping off at the homepage, maybe you can hypothesize that your page is too slow, which is why customers are losing interest and they’re leaving. And whereas if you notice that majority of customers are leaving at the payment and checkout screen, at which point you can hypothesize, maybe the pricing is too expensive.

Once you have these different hypothesis, you can run experiments and improve the overall conversion rate for your product. Okay, next is AB experimentation. Here I have two different greeting cards for a Christmas, right? Maybe the one on the left resonates with the customers more and they click on it and they open it. Maybe the one on the right is not as appealing. Here, this is a trivial example.

In this case, the customer greetings, it maybe doesn’t matter if customers really open it and see it because it doesn’t translate into business outcome. But that’s not always the case, right? Let’s say you have an open house website, you want customers to click on the website, sign up for the open house so that your house is eventually sold, maybe in this case the color of the button results in different conversion rate and that it really matters what color of the button. That is something you can maybe experiment and see which one results in a higher conversion rate, not just for visual things.

Here I have Nike website, maybe the search algorithm on the left. There’s different from the search algorithm on the search result ranking on the right. Maybe the one on the left is resulting in higher units of shoes sold and higher revenue for the company, in which case you can totally AB experiment this as well.

What I mean to say here is that AB experimentation is not just limited to visual things, UI elements and things like that, but you could totally even AB experiment algorithms, APIs, backend systems or different systems that eventually translate into better user experience for your customer. So what exactly is AB testing? It is called split testing, bucket testing, randomized control experiment. It’s typically used to compare different versions of a webpage, but you can test anything from the color of a button to the backend algorithm to the layout of a page.

The AB groups are typically called control group and test group, and all elements are held constant except for that one thing that you really care about and you measure it. And it’s the best scientific way to establish causality with high probability. What it means really is that you’re not going by gut feeling, you’re not going by instant, but rather you’re running a scientific experiment and saying that based on the results of the experiment, I can conclusively say I can conclude that changing something results in a higher something else.

You can establish that causality in a very scientific way. What are the different stages of AB experiment is the first is you have a problem statement. You define the hypothesis, you design the experiment, you run the experiment, and then you eventually interpret the results based on the problem, based on the business that you’re in, based on the company that you’re running AB experiment. For you problem statements will be very different because you want the experiment to ladder up to the uber goal that the company has set.

Let’s say that I join as a product manager for a travel company like Expedia or booking.com. I will run experiments that eventually impact these metrics because that’s what the company cares about. The company wants to increase number of bookings, they want to increase their loyalty participation program, they want to increase maybe number of searches that people are conducting on their website.

Whereas if you are a media company like Netflix or Amazon Prime, they want to increase engagement, they want to increase subscription rate, they want to increase content consumption time. So your experiments that you run will impact different metrics. And as a product manager, if you’re running AB experimentation, you want to be very clear on the problem statement even before you get started, even before you design the experiment.

That is something you start off your ab experimentation process with. Again, if you’re an e-commerce company, your goal is to increase products viewed, products added to cart, resulting in higher conversion. And finally, if you’re a social media company like Instagram or Facebook, your goal is to increase engagement or maybe increase revenue through advertisement and things like that. Here what I’ve captured is that the problem statement could be very, very different, and that is something you want to be very clear about and define it at the start of the process itself.

Next is defining the hypothesis, right? A hypothesis is nothing but a testable statement that predicts how changing something will affect certain metric or a user behavior. So here these are the three steps that I use to define the hypothesis is you want to be clear on the problem based on evidence, and you want to decide changing something impact certain outcome and how that impacts the problem.

How do you know you have achieved the outcome is when you see the metrics change, right? Here below I have defined an example of how you could do that. So let’s say you are a product manager for an e-commerce website. You’re seeing lesser number of units sold on the website through sales data. That is the problem you have and that is the evidence you have.

Let’s say you believe that incorporating something like a social things like X number of people purchase in the last 24 hours will influence them to purchase and make the purchase. That will result in people actually converting. And that’s your gut feeling and that’s your hypothesis that you start off with. At the end of the experiment, you’re seeing whether indeed doing that change results in higher revenue and higher units sold. So that is what your null hypothesis is, and that is what your alternate hypothesis.

You can also define the significance level and statistics, power, and these are industry standards that you use a level of 0.05 and 0.8 to define the sample size that you want to use for running the hypothesis. Next is designing the experiment. When you design the experiment, you want to be very clear on what the metric is.

The primary metric, and you also want to be clear on the revenue. Maybe you have one primary metric, but maybe in this case it is revenue per user per month. But you could also have secondary metric and other metric that you want to test. You also want to determine the population that you want to test it for. Let’s say whether you want to run the experiments specifically in US in Europe for certain section of the market or all users.

Next is how many people do you want to run the experiment for is determining the sample size here I already talked about using an industry standard of alpha and power to determine how big your sample size should be in order to have statistically significant data to draw conclusion.

And finally, how long do you want to run the experiment? In this case, you could run it for two weeks, you could run it for two months. You can run it for much longer. And you also need to think about seasonality days of the week and holidays. You don’t want to design some email engagement experiment during holiday season when people are on vacation, not really checking their emails. Those are some factors you would decide take into factor when you’re designing the experiment.

Next is once you have all of these things finalized, you randomly assign users to group A and group B, and it’s very important to randomize so you’re not introducing any bias into the process. And you partner with the dev team to instrument logging for any necessary metric, collecting data to make sure you have a dashboard that surfaces the metric that you care about.

As you can see on the right, you are tracking revenue and you’re tracking how does revenue differ between the control group and the treatment group. And that will help you decide how your experiment is doing. And then you want to avoid looking at results before running the experiment for the entire duration of it and avoid peaking and jumping into conclusion. And then finally, once the experiment is run, you want to make sure that the data is reliable.

You want to perform some sanity check. If the data is obviously unreliable, you want to discard it and rerun it and then make some trade offs. Let’s say at the start of the experiment, you decided to measure engagement and revenue. And at the end of the experiment you saw that, okay, based on the changes that you’ve introduced, revenue is looking good, it’s going up, that’s great.

But if engagement is going down, you want to make the trade off that. Is it really worth introducing the change? How do you want to look at the result? How do you want to interpret the result and things like that? And then eventually launch the change to everyone. This is one way you take a data-driven approach to introduce changes.

An AB experimentation is widely used within Microsoft is something I’ve used throughout my career. We have these office bills that are released each month to millions of users, so before we introduce a change to such a worldwide population, we launch it to a small segment of population.

We collect telemetry signals, we collect all the signals, crash signals, we make sure that it’s looking good, and then eventually launch the change through a different release pipeline that we have. And that is something that throughout industry, it’s practiced in Instagram everywhere where they test some change with a small section of user, use that data to then eventually launch the change.

Cool. Next one is machine learning. Machine learning is not a magic wand, but it’s an application of AI that provides system the ability to learn and improve from experience without being explicitly programmed. When do you want to use machine learning is when you have lots of data, when you have a complex logic, something that cannot be solved with if statements cannot be solved by classic programming. That’s a good example.

When you want introduce some sort of personalization, like you have the case with Uber, you have the case with DoorDash, Instacart, all of them provide you a very personalized experience. And when you want the system to learn with time, that’s also a classic example where you want to introduce machine learning. Something like Twitter, what’s standing on Twitter today might not be training tomorrow. And that’s where machine learning is a classic example and fits the scenario.

Here I have three different types of machine learning. One is the supervised machine learning where you have machine learns from training data that is labeled where you train the system while it learns to do on its own. Next is you have non labeled training data. And finally is reinforcement learning where the machine learns on its own.

Here I’ve listed quickly different techniques of machine learning that you can use. One is ranking. This is something I already talked about that Amazon uses machine learning for, powering the search result ranking recommendation. Again, Netflix uses it for powering their home screen. Different recommendation, I guard them.

The great thing about recommendation, it doesn’t have to be perfect as long, it’s close to accurate. Customers are happy classification. Facebook uses it for tagging different users on their product. Classic example of classification regression is something we use for seeing, for casting, clustering for Spotify, uses it for clustering songs. And finally, chase uses anomaly detection for flagging fraudulent transaction. Thank you.

Sukrutha Bhadouria:

Thank you so much. This was a wonderful session. Yes, going to hop on to the next one. Thank you so much.

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