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Dianne Penn

Head of Product, Research & Labs, Anthropic

Verified interview transcripts, podcast appearances, and direct quotes from Dianne Penn, Head of Product, Research & Labs at Anthropic. AI-verified speaker identity with full-text searchable transcripts.

Recent appearances

  • If you're not building with AI yourself, you won't make it | Dianne Penn (Anthropic)

    August 07, 2026 · 📺 Lenny's Most Replayed Moments

    Dianne Penn has a strong position on what separates product leaders who will thrive in the AI era from those who won't, and it goes further than staying informed or experimenting casually. She also makes a case for why finding joy in this work matters as much as the hours you put in, and offers a practical suggestion for people who feel overwhelmed by how much there is to try. Both ideas are simpler than most AI career advice I've heard, and more actionable. Watch my full conversation with Dianne Penn:    • Why AI is going vertical (again) | Dianne ...  

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  • Evals are the new PRDs: how AI is rewriting the PM job | Dianne Penn (Anthropic)

    August 05, 2026 · 📺 Lenny's Most Replayed Moments

    "Evals are the new PRDs" is something Dianne Penn's research product team at Anthropic originated, and she explains exactly what that shift means for how AI product managers work today. The job now starts with deeply understanding failure modes and translating user pain into something a researcher can actually act on. Her team built that process from scratch, including the specific example that first made it click. Watch my full conversation with Dianne Penn:    • Why AI is going vertical (again) | Dianne ...  

    Watch on YouTube ↗

  • What it feels like inside the AI exponential | Dianne Penn (Anthropic)

    August 04, 2026 · 📺 Lenny's Most Replayed Moments

    Dianne Penn compares this moment in AI to the internet transition, something most of us weren't actively working through when it happened. What she describes from inside Anthropic right now feels categorically different: model capabilities can jump discontinuously across versions, and even the people building them can't always predict when. I asked her what it actually feels like to operate in that environment and how her team makes decisions when the ground keeps shifting. Watch my full conversation with Dianne Penn:    • Why AI is going vertical (again) | Dianne ...  

    Watch on YouTube ↗

  • How Anthropic outcompeted OpenAI | Dianne Penn

    August 03, 2026 · 📺 Lenny's Most Replayed Moments

    Anthropic is now reportedly doing $50 billion in ARR, but Dianne Penn joined when there were five product engineers and one engineer for the entire API business. I asked her what those early days were actually like, and what she described surprised me. The story she tells about Golden Gate Claude, a 24-hour experiment that reached maybe 2,000 people, captures something important about how Anthropic found its identity and the culture that has stayed constant ever since. Watch my full conversation with Dianne Penn:    • Why AI is going vertical (again) | Dianne ...  

    Watch on YouTube ↗

  • Why AI is going vertical (again) | Dianne Penn (Anthropic)

    July 26, 2026 · 📺 Lenny's Podcast

    Dianne Penn is Head of Product for Anthropic’s AI Research and Labs teams. She joined in 2023 as Anthropic’s first technical product manager, when the entire product team was five engineers, and has since helped ship every model from Claude 2 through Fable, and helped incubate Claude Code, MCP, Skills, computer use, tool use, and reasoning. Before Anthropic, she helped build Alexa’s AI at Amazon and, before that, traded high-yield bonds at JP Morgan Chase. In our in-depth conversation, we discuss: 1. What Anthropic’s early days were like 2. The inflection points that turned Anthropic from an…

    Watch on YouTube ↗

  • Anthropic's First PM: Opus 4.5, Rethinking Model Scaffolding & Safety as a Competitive Advantage

    December 02, 2025 · 📺 Unsupervised Learning: With Jacob Effron

    This episode features Dianne Na Penn, a senior product leader at Anthropic, discussing the launch of Claude Opus 4.5 and the evolution of frontier AI models. The conversation explores how Anthropic approaches model development—balancing ambitious capability roadmaps with user feedback, making strategic bets on areas like agentic coding and computer use while deliberately avoiding others like image generation. Dianne shares insights on the shifting nature of AI evaluation (moving beyond saturated benchmarks like SWE-bench toward more open-ended measures), the evolution of scaffolding from "trai…

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