Marissa Gorlick.

Staff Product Manager | AI Systems | Experimentation | Decision Science

I build adaptive customer systems that combine AI, experimentation, product strategy, and decision science.

About

01. About

I build adaptive customer systems that help products respond more intelligently to people. My work sits at the intersection of AI, experimentation, product strategy, and decision science—where trust, measurement, and human behavior shape better customer experiences.

My background spans product management, data science, and behavioral research. I've worked across consumer products at TurboTax, retailers at Bazaarvoice, educational platforms at CreativeLive, open-source analytics at Rill, and privacy-sensitive systems at Mozilla, helping teams make stronger decisions through better instrumentation, evaluation, and product strategy. Before product management, I studied motivation and decision-making during my Ph.D research in cognitive psychology at the University of Texas at Austin and Yale—a foundation that still shapes how I think about adaptive customer systems, measurement integrity, and designing products around real people, not just models.

A delightful cat and Marissa

02. Writing

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03. Experiments

Clime

I built Clime to help gardeners make better planning decisions by combining local microclimate context with environmental data. It began as an exploratory data science project and evolved into a lightweight decision-support tool for microclimate-aware planning. Live demo.

NYPD Complaints Dashboard

I built an exploratory dashboard to analyze NYPD complaints data and surface patterns across incidents, geography, and operational trends. It was an exercise in transforming complex public data into a clearer decision-making layer through modeling, visualization, and dashboard design. GitHub repo.

Flask + Svelte Template

I built this Flask and Svelte template to integrate back-end analytical workflows with lightweight web interfaces. It reflects my interest in making technical systems more usable, interactive, and product-oriented. GitHub repo.

04. Contact

I'm open to conversations about adaptive customer systems, product strategy, and decision science. Whether you have a question, an idea, or just want to connect, I'd love to hear from you.

Say Hello

MGU 2026