Marissa Gorlick
Staff Product Manager at Intuit
Austin, Texas, United States
Summary
🤩
Rockstar🎓
Top SchoolMarissa Gorlick is a Staff Product Manager in Austin with 11 years building adaptive, data-driven systems at the intersection of AI and analytics. She blends deep technical roots—a PhD in cognitive neuroscience and hands-on full-stack contributions to open-source BI tooling like Rill—with product leadership at Intuit and Rill Data. Her background as a data scientist and manager at Mozilla and Bazaarvoice gives her a strong track record of moving ML and analytics projects from research to production. Colleagues rely on her to translate complex data workflows into intuitive product experiences and to streamline tooling such as CLIs and onboarding scripts. She’s equally comfortable refactoring code and shaping product strategy, often uncovering UX improvements that reduce time-to-value for data teams. Based in Austin, she brings a researcher's rigor and a maker’s mindset to scaling intelligent products.
10 years of coding experience
16 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Cognitive Neuroscience, Doctor of Philosophy (Ph.D.) Cognitive Neuroscience at The University of Texas at AustinUniversity of California Santa Cruz
Github Skills (11)
sql10
cli10
documentation9
data-import9
go8
data-analysis7
sveltekit5
data-visualisation5
data-visualization5
data-visualizations5
svelte5
Programming languages (9)
Github contributions (5)
rilldata/rill
Feb 2022 - Jan 2023
Rill is a tool for effortlessly transforming data sets into powerful, opinionated dashboards using SQL. BI-as-code.
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:1 release, 103 reviews, 83 commits in 10 months
Contributions summary:Marissa primarily contributed to the Rill project by updating the example project and making changes to the command-line interface (CLI) and documentation. They refactored scripts related to project initialization and data import, updating file locations and streamlining the user experience. The user also made improvements to the CLI output and documentation, ensuring clarity for users getting started with the platform. Furthermore, the user collaborated with other contributors in refactoring project components.
parquet-toolscsvanalyticsdata-setsduckdb
magorlick/rill-data-to-dash
May 2023 - Mar 2024
Contributions:6 pushes, 1 branch in 9 months
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