Why This Job is Featured on The SaaS Jobs
Airtable’s push toward AI-first product development makes this Product Manager role relevant to a key shift in SaaS: moving from software that supports human workflows to software where AI agents become active participants. The focus on “human and agent” collaboration inside core product surfaces signals work at the platform layer, where permissions, data models, and interaction design directly shape what customers can safely operationalize.
For a SaaS product career, the role offers durable exposure to how modern SaaS teams translate emerging capabilities into reliable, measurable product behavior. It emphasizes outcome definition in areas where quality and trust are harder to quantify, a recurring challenge as AI features move from novelty to default. The expectation to prototype and iterate quickly also builds skill in de-risking product decisions before committing engineering cycles.
This role suits product leaders who prefer broad ownership over narrow feature delivery and who are comfortable navigating ambiguous problem spaces. It will resonate with professionals who like balancing technical fluency with user-facing judgment, especially where transparency, accountability, and adoption must be designed into the experience rather than added later.
The section above is editorial commentary from The SaaS Jobs, provided to help SaaS professionals understand the role in a broader industry context.
Job Description
The Opportunity
Every 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.
Airtable is an equal opportunity employer. We embrace diversity and strive to create a workplace where everyone has an equal opportunity to thrive. We welcome people of different backgrounds, experiences, abilities, and perspectives. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status or any characteristic protected by applicable federal and state laws, regulations and ordinances. Learn more about your EEO rights as an applicant.
VEVRAA-Federal Contractor
If you have a medical condition, disability, or religious belief/practice which inhibits your ability to participate in any part of the application or interview process, please complete our Accommodations Request Formand let us know how we may assist you. Airtable is committed to participating in the interactive process and providing reasonable accommodations to qualified applicants.
