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Tulsee Doshi

Senior director & head of product for Gemini, Google DeepMind

Leads the Gemini product roadmap and strategy after five years heading Google's Responsible AI product work.

Google DeepMind@tulseedoshi(opens X in a new tab)

Real Alpha has cut 8 moments of Tulsee Doshi (Senior director & head of product for Gemini, Google DeepMind) talking, from an interview on Lenny's Podcast published Nov 8, 2026.

What Tulsee Doshi said

  1. Lenny's Podcast ·

    Why Google wants to win the frontier conversation | Tulsee Doshi (Head of Product for Gemini)

    8 moments · 28 min

    1. 2:11

      Model PMs have to discover what training produces

      “the model isn't predictable. And so it's kind of like, like Snape's potions class, right?”
      at 3:13
    2. 33:07

      Build for what models can do now and next Pro pick

      Doshi’s 60-20-20 framework balances working features with capabilities that are nearly ready and more ambitious ideas. It lets a product work today while improving as models advance.

    3. 26:30

      Better evaluations can expose gaps in representation

      “Realistically, six skin tones cannot capture the diversity of skin tones in the world.”
      at 27:19
    4. 10:33

      Google's safety plan combines monitoring with cyber defense

      “deploying monitors that can monitor the model's chain of thought and actually identify whether the model is misaligned with its directed actions”
      at 11:06
    5. 21:22

      Research PMs should test models and start with small evals

      “start with even just five prompts, right? Like start, you don't have to start large.”
      at 23:29
    6. 37:27

      Teams need time to build and share AI workflows

      “it is hard to create the space to actually take a step back and make sure you know the tools well.”
      at 39:24
    7. 14:06

      Model behavior is part of the product's UX

      “it's also important to think about the model as having a UX also.”
      at 17:02
    8. 6:26

      Google pairs frontier models with a full-stack strategy

      “we actually go all the way from the hardware to then the modeling to then this kind of end user application.”
      at 7:41

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