Product Manager

Airtable Airtable · Enterprise · New York, NY +1 · Product Management

Product Manager for an AI-first company, focusing on building AI-native product experiences where humans and AI agents collaborate on structured operational data. The role involves end-to-end product ownership, from discovery to shipping, with a focus on agent experiences, systems work, and defining success metrics for AI quality and adoption.

What you'd actually do

  1. Own a product area end-to-end — from problem discovery through shipped, measured outcomes. You take ideas from ideation all the way to production.
  2. 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.
  3. Take on systems and structural work — the deeper product problems that cut across surfaces, not just feature iteration.
  4. Work in prototypes, not just PRDs — use AI tools to build working versions of your ideas and put them in front of people early.
  5. 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.

Skills

Required

  • 5+ years of product management experience
  • Track record of shipping products users rely on
  • Experience automating real work with AI
  • Understanding of how LLMs work
  • Reasoning about model capabilities and tradeoffs
  • Point of view on retrieval, evals, and prompt design
  • Ability to operate like a team of one inside a modern AI stack
  • High agency
  • Motivated by being handed a hard area
  • Energized by ambiguity and hard problems
  • Product taste for AI interactions
  • User empathy

Nice to have

  • Experience with AI tools to build working prototypes

What the JD emphasized

  • Genuinely AI-forward
  • Technically fluent in AI
  • High agency
  • Energized by ambiguity and hard problems
  • Product taste, especially for AI interactions

Other signals

  • AI agents working with humans on shared data
  • AI-first company
  • Agents as first-class users of the product