Marissa Gorlick.

Staff Product Manager | AI Product | Experimentation | Customer Behavior

I use experimentation, customer discovery, behavioral analytics, and AI to uncover what people need, reduce friction, and connect customer value with business value.

About

01. About

I've always been fascinated by how people make decisions. That curiosity first led me to study motivation and decision-making through a Ph.D. in Psychology (Cognitive Neuroscience) and a postdoctoral fellowship in Neuroeconomics. Today, it shapes how I build products.

Across TurboTax, Mozilla, Rill, Bazaarvoice, and CreativeLive, I've worked on problems where customer behavior, product strategy, and business goals intersect. Whether improving monetization, building trustworthy AI, growing open-source products, or scaling experimentation, my approach is the same: understand customers first, then build products and systems that help them succeed.

I enjoy solving ambiguous customer and business problems by combining customer discovery, experimentation, behavioral analytics, and AI to create products people value and businesses can grow.

A delightful cat and Marissa

02. Writing

Posts are unavailable right now.

View all writing

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 always happy to talk about experimentation, AI, customer behavior, product strategy and interesting product problems.

Say Hello

MGU 2026