Laura Teclemariam has had one of the most varied careers in product — from engineering and founding her own company, to mobile gaming economies at EA, building Netflix's animation studio product function from the ground up, and owning LinkedIn's core identity products. In this episode, she joins Lily and Randy to trace the through-line of what she calls her "jungle gym" career path, and why a nonlinear journey can be more coherent than it looks from the outside.
Laura makes a compelling case that gaming is the most honest feedback environment in tech — players vote with their time, not their intentions, and that pressure sharpens product instincts fast. She draws on her experience with Star Wars: Galaxy of Heroes to explain how gaming metrics like DAU and retention foreshadowed what big tech would eventually care about — and why entertainment adds a dimension that pure data-driven product work often misses: taste.
From Netflix Animation — where storyboards became prototypes and animatics became MVPs — to managing identity products at scale for over a billion LinkedIn members, Laura unpacks what changes and what doesn't when the stakes get bigger. The conversation closes with her current work at UC Berkeley, where she's teaching advanced product management with AI at the centre, and wrestling with the biggest open question in the discipline: as the cost of building collapses, does the PM/design/engineering triad hold — or is something fundamentally different emerging?
Chapters
Key Takeaways
Games are the most honest feedback environment. Players don't care about your roadmap or your release date — they care whether the experience is worth 10 or 100 hours of their time. That honesty sharpens product instincts fast.
Retention is a foundational skill, not a vertical one. Whether it's a mobile RPG, a streaming platform, or a social network, understanding why people come back — and why they don't — is one of the most transferable things a PM can learn early.
In tech, data ends the debate. In entertainment, taste does. Laura's argument isn't that one is better — it's that tech products would be improved if they ended with delight, not just with metrics.
Scale changes the emotional weight of product decisions. Moving from 200M users to 1B+ isn't just a number change. At LinkedIn, every design decision touched people's economic identity — their ability to get a job, build a business, or be seen in the world.
The "great convergence" is already happening. Laura's Berkeley course treats the PM/design/engineering triad as effectively merging — not because teams disappear, but because AI lowers the cost of building so much that the real work shifts to the question: should we build this at all?
The best innovation comes from feeling safe to fail. What her students reminded her: when people aren't protecting their jobs or defending legacy decisions, they ask better questions, challenge more openly, and build with genuine curiosity.
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