# Mollie Pettit > AI Developer Relations Engineer @ Google Location: San Francisco, California, United States Profile: https://flows.cv/molliepettit As a seasoned leader with over 7 years of experience at the crossroads of Developer Relations, Product Marketing, and Product Management, I excel in building and leading high-performing, cross-functional teams. My leadership style is rooted in collaboration and strategic alignment, ensuring that Engineering, Product, Marketing, and Developer Relations teams work seamlessly together to deliver products that resonate with users and drive business growth. I have a proven track record of driving product adoption and scaling developer ecosystems, leading to enhanced customer relationships and accelerated product development. My experience spans managing global teams, guiding product launches, and building vibrant communities that not only support but also inspire innovation. A co-founder of the Data Visualization Society, I’ve grown a passionate community to over 19,000 members and launched the Outlier conference, creating a platform for thought leaders and innovators in data visualization. Starting my career as a Data Scientist and Data Visualization Engineer, I have a deep understanding of transforming complex datasets into usable dashboards that drive decision-making. When I’m not working, you’ll likely find me partner dancing, especially in fusion, blues, and swing styles. Biking is my main mode of transportation, and I recently took it to the next level by completing RAGBRAI, a 500-mile weeklong bike trek across Iowa. I also love a good podcast; I'm currently listening through all of Normal Gossip. :) ## Work Experience ### Staff Developer Relations Engineer - AI Platform @ Google Jan 2025 – Present | San Francisco Bay Area - Founded the Production-Ready AI Learning Path initiative, leading 16 cross-team Developer Relations Engineers to externalize Google's internal GenAI expertise. Reached 30,000+ external developers in six weeks through 30 hands-on codelabs and 10 technical blogs driving Vertex AI and Cloud Run adoption. - Host of The Agent Factory podcast (81k+ views in four months of episodes I hosted), conducting technical deep dives into agentic AI, Gemini CLI, and vibe coding to engage advanced developers and establish Google as a leader in agentic AI. - Spearheaded a cross-functional content repurposing strategy for The Agent Factory podcast, implementing an AI-augmented workflow to transform technical video deep dives into high-traffic recap blogs; resulted in 11,000+ unique views and 5,500+ product trial conversions in four months. - Founded and led GenAI Elevate, Google's internal AI upskilling program for 10,000+ employees. Managed 5 Developer Relations Engineers to create 17 modules and 23 hands-on labs, delivering a 32% increase in objective AI knowledge and 81% NPS. - Championed and built the Responsible AI and AI Security modules within GenAI Elevate, covering ethical principles, secure application development, and incorporating ethics across the AI lifecycle. - Directed the AI Agents Sandpaper project, identifying and resolving developer friction in building and securing code-first agents - Led technical strategy for AI Startup School, designing curriculum that trained 15,300+ global startup developers on agentic workflows and the Google Cloud AI stack. - Embedded with enterprise engineering teams during customer engagements to prototype AI-powered tools using Vertex AI function calling and Gemini. - Developed and implemented scalable operational frameworks and automation tools to optimize team workflows, reducing manual overhead and significantly accelerating content velocity across multiple global developer programs. ### Senior Community Product Manager @ Great Expectations Jan 2023 – Jan 2024 Great Expectations provides an open-source framework for data validation, ensuring high data quality across pipelines. The platform is widely used across industries to automate and enforce data integrity standards. - Led technical community engagement, adding 2,583 users to Slack, and drove product enhancements by integrating community feedback into development cycles. - Led 30+ cross-functional projects, enhancing product lifecycle by aligning community-driven insights with engineering, product, and marketing strategies. - Launched the GX Champions Program, increasing feedback response time for feature development by engaging the 10 most active community members in regular user interviews. - Conducted over 20 user interviews to gather actionable insights, contributing to informed product development and enhancements. - Planned, produced, and executed the GX Public Preview event, attracting 132 attendees and increasing product awareness. - Developed and implemented feedback collection strategies via Slack and Discourse channels, improving the adaptability of product features based on user demands. - Conducted market research on Reddit, and curated new marketing campaigns for v1.0 (going live/launch event next week) (since end of last year) (having a demo created etc.) ### Community Consultant @ Great Expectations Jan 2023 – Jan 2023 ### Head of Developer Relations @ Dagster Labs Jan 2022 – Jan 2022 Elementl developed Dagster, an open-source platform for orchestrating data applications. Based in San Francisco, it has 70+ employees and an estimated $9.1 million in annual revenue. - Built the developer relations team and strategy from the ground up, hiring 2 direct reports and managing 3+ indirect reports. - Set product education strategy, measuring effectiveness through YouTube views, tutorial engagement, community Slack feedback, and support response metrics. - Planned and executed high-impact events like Dagster Day, with 2,300+ attendees, driving product awareness and aligning event strategies with marketing objectives. - Sourced and synthesized user feedback into actionable insights, guiding product strategy for v1.0 of the platform and prioritization to align with market demands and business goals. - Led over 6+ cross-functional projects, including the Dagster Day launch event and community meetings, collaborating with engineering, product, support, and marketing teams. - Significantly reduced response time to user questions through several initiatives; created internal dashboards, an idea retention system and automated support tracking bots. - Facilitated 15+ ideation exercises, contributing to the roadmap and assisting in company-wide brainstorm sessions. - Created a company-wide internal system for idea retention, retaining and utilizing hundreds of ideas. - Strengthened relationships with integration partners, facilitating community meetings and blog content to increase functionality. - Wrote numerous public launch updates & internal strategy documents, enhancing transparency and alignment for the team. ### Head of Developer Relations @ Observable Jan 2021 – Jan 2022 | United States Observable is a collaborative platform that allows users to create and share interactive data visualizations. It serves a global community of developers and data professionals from its San Francisco base. - Grew & managed a cross-functional team of 6 to produce numerous demos, tutorials, live streams, workshops, and presentations that significantly enhanced community engagement with the platform. - Set the strategy for the developer relations team and product education, informed by feedback from users and stakeholders, and measured success through engagement metrics such as 16,000+ YouTube views and tutorial interactions. - Created a diverse range of educational content, including 7 demos, 3 video tutorials, 9 live streams, 1 video workshop, 4 cheat sheets, 2 conference talks, 1 conference workshop, and 1 community event, achieving significant viewership, such as 3,400 views for a community event and 2,600 views for a workshop. - Developed an internal Idea Sandbox for team ideation, resulting in over 400 ideas logged and incorporated into the product backlog, ensuring visibility and preventing ideas from being lost. - Improved collaboration between marketing and dev relations by establishing a demo feedback process, clarifying roles and responsibilities, and defining guiding principles for demo creation.. - Facilitated company-wide brainstorms and gave a culture talk on Open vs DM culture and Slack etiquette, fostering a comfortable environment for team feedback and ideation. - Spearheaded and managed high-visibility ambassador programs and events, such as the D3 Parade, enhancing community engagement and fostering strong brand loyalty. - Presented at external conferences and podcasts, showcasing Observable’s capabilities and community-building strategies, contributing to broader industry awareness and engagement. 30 day map challenge on social media - ### Data Visualization Developer (Software Engineer) @ Observable Jan 2021 – Jan 2021 - Created 26 educational tutorials, demo videos, and template notebooks, including highly engaged templates such as Three.js with 215 forks and 17 likes, and team order shuffler with 86 forks and 41 likes. - Led and participated in 10 live-coding and instructional live streams, with viewership reaching up to 1,000 views for popular streams like Plot for Data Exploration with Shirley Wu and Data vis starting points (boilerplates). - Updated product code utilizing the React framework, contributing to 2 key features while primarily focusing on content creation in Observable. - Delivered external event talks and workshops, including presentations at the Visualizing Knowledge Conference and the Artificiality Podcast, showcasing the value of data visualization and community building. - Achieved significant engagement for streams and tutorials, such as 589 views for the D3 Parade event and 970 views for the User Retention tutorial, enhancing the educational resources available to the community. ### Events Director (volunteer) @ Data Visualization Society Jan 2019 – Jan 2022 The Data Visualization Society is a global community with 19,000+ members dedicated to advancing the field of data visualization. It offers resources like an annual conference and a professional publication to foster learning and collaboration. - Co-founded the Data Visualization Society, growing membership from nil to over 19,000 members, and establishing a publication (https://nightingaledvs.com/), an annual conference (https://www.outlierconf.com/), and an awards ceremony (https://www.informationisbeautifulawards.com/). - Determined the vision for and executed the creation of Outlier, a global annual data visualization conference, with approximately 1,000 attendees and overwhelmingly positive feedback. - Managed an 18+ member committee, delegating responsibilities across time zones to carry out the Outlier vision, ensuring successful execution of a unique and engaging event. ### Co-Founder (volunteer) @ Data Visualization Society Jan 2019 – Jan 2019 Co-founder of the Data Visualization Society, along with Amy Cesal and Elijah Meeks. ### Senior Data Visualization Engineer (Software Engineer) @ Netflix Jan 2019 – Jan 2020 Within Netflix, the Data Visualization team creates advanced visual tools and dashboards. These tools support data-driven decision-making and optimize content strategies for Netflix’s global audience. - IC developer on a team of 7, reported to the Growth & Memberships Analytics Product Manager and worked on custom internal data visualization web app/dashboards from ideation to stakeholder interviews, through to launch. - Gathered feedback from over 15 key stakeholders to understand user needs and ensure the end product was tailored to be most useful, implementing much of the feedback to meet stakeholder requirements. ### Founder / Developer Lead @ Mollie Pettit LLC Jan 2017 – Jan 2020 The firm provided data visualization and analysis services, delivering custom visualizations and educational content for clients like the ACLU and Conde Nast. Projects included managing teams and creating impactful visual tools to support client decision-making. - Acted as product manager, leading a team of subcontractors from discovery and ideation to final builds across at least 10 projects, including work for the ACLU, Northwestern, and Conde Nast/New Yorker, with teams ranging from 1 to 3 members. - Built over 14 custom interactive data visualizations and conducted data analysis for clients, including at least 11 visualizations for the ACLU and additional projects for G2, the New Yorker, and BigR Consulting. - Created curriculum for and taught four d3.js courses, including one for Metis and twice for Northwestern, with enrollment ranging from 4 students at Metis to 20-30 master’s students at Northwestern. ### Data Visualization with D3.js Instructor (contract) @ Northwestern University Jan 2019 – Jan 2020 - Taught the d3.js to Northwestern University MSiA students as part of a data visualization course in 2018 and 2019 ### Data Visualization Engineer / Designer (contract) @ ACLU of Illinois Jan 2018 – Jan 2019 | Chicago, IL - Created a public facing website utilizing d3.js to allow the public to interface with interactive data visualizations of analysis of traffic stops data from police agencies across Illinois - Led a team of three in executing exploratory data analysis on Illinois traffic stops data, which was used in creating the ACLU-IL traffic stops report ### Data Visualization (D3.js) and Data Science Instructor (contract) @ Metis Jan 2017 – Jan 2018 | Greater Chicago Area Working on Metis professional development courses part-time, focusing on data science and data visualization. - Taught the Data Visualization using D3.js six-week professional development course - Instructor for the Introduction to Data Science course. - Thoughtful about content creation, working to build continually build upon the courses to make them better each time. - Hosted regular office hours for students as well as various talks and workshops through meetups and webinars ### Data Scientist @ Datascope Analytics Jan 2016 – Jan 2017 | Chicago, IL As a data scientist (and consultant), I work on projects involving a wide variety of problems including (but not limited to) interactive data visualizations, exploratory data analysis and visualization, optimization, corporate data exploration tool creation, course development, and ideation. Common languages / tools used on the job are python (numpy, pandas, scikitlearn, matplotlib), D3.js, SQL, version control with Git and Github, among others. •Created an interactive visualization for displaying text-based survey results. •Created a webapp for visualizing network graphs between various combinations of Star Trek characters •Created an internal webapp for workshops that rates choices and creates interactive visualizations of the results •Presented talk Get Your Point Across: The art of choosing the right visualization for your data at PLOTCON 2016 (link below). •Developed engaging content for a two-day Data Science for Managers and Directors course (http://data-science-for-managers.datascope.co) •Regularly communicated data-drive insights to clients, sometimes serving as a project lead •Experience with brainstorming, exploratory analysis, rapid iteration, and human-centered design •Created a corporate data exploration tool for a consumer products company •Created onboarding documentation and fostered a welcoming environment as the onboarder/offboarder •Led an initiative to create an internal tool to optimize staffing of projects based on skill-level and availability •Utilized optimization techniques for the optimization of formula creation for an American manufacturer •Wrote data science blog posts for the Datascope blog ### Geoscientist @ Baker Hughes Jan 2014 – Jan 2015 | Abu Dhabi, UAE • Delivered detailed planning, data analysis & project reporting as a Baker Hughes scientist in the UAE • Organized and prepared final product assessments and contributed to stakeholder and customer presentations • Recorded and analysed oil & gas scientific data; modelling results and advising clients • Regarded as a people person; developing strong relations across all levels/cultures & winning a team player award • Quickly identified and resolved potential issues to consistently deliver projects to best practices on time and within budget ## Education ### Master of Science (MS) in Geological and Earth Sciences/Geosciences Stanford University Jan 2010 – Jan 2013 ### Bachelor of Science (BS) in Mathematics West Virginia University Jan 2004 – Jan 2009 ### Bachelor of Science (BS) in Geological and Earth Sciences/Geosciences West Virginia University Jan 2004 – Jan 2009 ### Data Science with Python in Data Science Thinkful ## Contact & Social - LinkedIn: https://www.linkedin.com/in/molliepettit - Website: molliepettit.com --- Source: https://flows.cv/molliepettit JSON Resume: https://flows.cv/molliepettit/resume.json Last updated: 2026-04-07