The OpportunityEvery company will soon need a way for humans and AI agents to work together on shared data. Agents need structure and context to act reliably. Humans need to see and control what agents are doing. Airtable has spent a decade building exactly those primitives - structured operational data, permissions, interfaces, automations - and agents are already showing up in Airtable to use them. The hard problem now is the last mile: making humans and agents genuinely productive together on real business workflows. That is the problem this team exists to solve.
We are building Airtable as an AI-first company. It shows up in how we ship (every employee builds alongside AI agents), how we hire, and how we build products (agents and AI capabilities are first-class, not bolted on).
You'll join a small product team with an outsized surface area. Your starting focus is agent experiences in the core product: how AI agents show up, act, and stay accountable inside the same surfaces our customers use every day - and how the product changes when agents become first-class users of it. From there, expect to move across the product as priorities evolve. We're not hiring you to feed a backlog. We're hiring you to find the problems worth solving and take them from idea all the way to production.
What you'll do- Own a product area end-to-end - from problem discovery through shipped, measured outcomes. You 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. Not "I use AI to draft PRDs" - 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.
Compensation awarded to successful candidates will vary based on their work location, relevant skills, and experience.
Our total compensation package also includes the opportunity to receive benefits, restricted stock units, and may include incentive compensation. To learn more about our comprehensive benefit offerings, please check out Life at Airtable.
For work locations in the San Francisco Bay Area, Seattle, New York City, and Los Angeles, the base salary range for this role is:
$187,000-$235,000 USD
