Product Manager

What you'll do

• Own a product area end-to-end — from problem discovery through shipped, measured outcomes. Take ideas from ideation all the way to production.
• Build AI-native product experiences — decide how agents and AI capabilities show up in your area, where humans stay in the loop, and how the product earns users' trust.
• Take on systems and structural work — the deeper product problems that cut across surfaces, not just feature iteration.
• Work in prototypes, not just PRDs — use AI tools to build working versions of your ideas and put them in front of people early.
• Define success for outcomes that are inherently fuzzy — build measurement frameworks for AI quality, adoption, and behavior change, and use them to decide what to build next.
• Operate with high agency — identify the most important problems to work on next rather than waiting for scope to be handed to you.

Who you are

• 5+ years of product management experience, with a track record of shipping products users rely on.
• Genuinely AI-forward. You've automated real work: workflows that synthesize feedback across your product areas, agents that handle parts of your team's job, prototypes instead of documents. The signal we look for is compounding — AI increasingly doing the work for you and your team.
• Technically fluent in AI. You understand how LLMs work, can reason about model capabilities and tradeoffs, and have a point of view on retrieval, evals, and prompt design. You don't need to be an engineer, but you can operate like a team of one inside a modern AI stack.
• High agency; you’re motivated by being handed a hard area, not an execution-oriented roadmap.
• Energized by ambiguity and hard problems. Our priorities shift as the AI landscape shifts; you make progress when a roadmap doesn't exist yet.
• Product taste, especially for AI interactions. You have a refined sense of what makes AI feel helpful rather than frustrating, when to show confidence versus uncertainty, and how transparency builds trust.
• User empathy. You understand how non-technical people think about their data, and you can turn complex capabilities into experiences they trust and use daily.