Larissa Popa. Product Manager

The hard part of AI products was never the model. It's everything between a generated output and something a company will put its name on.

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Independent research and prototypes

Larissa Popa

Product Manager

New York, US Open to international relocation

Currently

Learning: Weekly intensive French study
Reading: À quoi rêvent les algorithmes. Nos vies à l'heure des big data — Dominique Cardon
Off the clock: High-altitude hiking in the Andes

About

I work where AI systems meet the people who approve what they produce.

For 4+ years at Publicis Sapient, I've thrived at the intersection of strategy, innovation, and human connection. I grew up in the age of Web 1.0, mesmerized by the magic of sending digital mail and painting on a screen. As technology evolved, so did my curiosity. What once felt like a novelty became a force shaping the world.

My process

Frame

Whose problem this is, and what it costs them today.

Evidence

Research and interviews — and what the method can't show.

Scope

Deciding what we're not building, and saying so out loud.

Build

The smallest version a real user can react to.

Review

Compliance and approval gates, designed in not bolted on.

Learn

What changed, what I got wrong, what to cut next.