Why This Job is Featured on The SaaS Jobs
This Product Manager role sits at a timely intersection in SaaS: turning a core system of record into an intelligence layer that supports natural-language analysis. The listing signals an early investment area focused on AI-powered search, Q&A, and synthesis over structured operational data—work that increasingly defines how modern SaaS products expand from “builders” to broader enterprise audiences.
From a career standpoint, it offers durable SaaS product experience in three directions that travel well across the market: designing AI interactions where trust, transparency, and evaluation matter; translating complex data capabilities into workflows that non-technical users can adopt; and shaping measurement frameworks for outcomes that are inherently probabilistic. It also reflects a platform-style product problem—where success depends on how well the feature integrates with existing data models and customer workflows, not just UI polish.
This role tends to fit product leaders who prefer ambiguous problem spaces and can set direction without a pre-defined roadmap. It suits practitioners who enjoy partnering deeply with engineering on architecture tradeoffs while maintaining strong user empathy for collaborators and executives. It is best aligned with professionals motivated by AI-native SaaS product craftsmanship rather than incremental feature delivery.
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
Airtable stores some of our customers' most valuable operational data. Because we’re the system customers use to power some of their most important collaborative operational workflows, much of this data only exists in Airtable. This data is often combined with data from other organizational systems of record in structured ways. All together, that means we have an incredibly differentiated body of context about our customers that can power insights about their business that they couldn’t get anywhere else. Today, getting value from all of this data requires builder skills.
We want to make insights about this data accessible to anyone through natural language.
This area of our AI product investment is relatively early, and we believe it represents a significant opportunity across three dimensions:
- Enterprise leverage: Our most mature bases are in enterprise accounts. These contain years of historical campaigns, product feedback, roadmaps, call transcripts. These customers are already bought in on Airtable as their operational data layer. AI-powered analysis lets them extract dramatically more value without additional building.
- Non-builder expansion: Today, you need to be a builder to get value from Airtable. Analysis and Q&A is the most accessible entry point for the much larger population of collaborators, consumers, and executives who will never create a view or write a formula but who have questions about their data.
Becoming the business context repository: There's an untapped opportunity for individuals to proactively bring together data from different tools explicitly to create personal or team context repositories that AI can reason over.
What you'll do
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- Define the opportunity space and shape what AI-powered analysis and synthesis looks like for Airtable.
- Own the AI-powered search, Q&A, and analysis experience by building conversational interfaces that let users query, synthesize, and generate insights from their operational data without needing to be Airtable experts
- Drive AI adoption among non-builders by expanding who benefits from Airtable by creating AI experiences that surface value for users who never touch the builder
- Build the intelligence layer that keeps Airtable in the loop as AI agents and external systems interact with Airtable data, ensure our AI capabilities deliver superior context-aware responses
- Shape how quantitative analysis works in an AI-native context leveraging Airtable's unique position as a structured, flexible, composable data store
- Collaborate cross-functionally with engineering, design, and data teams to ship high-quality AI experiences that users trust and rely on daily
Who you are
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- Experience building AI chat/assistant products: you've shipped conversational AI, copilot, or Q&A experiences and understand the nuances of prompt engineering, context management, retrieval, and user trust in AI-generated outputs
- 8+ years of product management experience: you have a track record of shipping products that users love, ideally including AI/ML-powered features at scale
- Genuine AI fluency: you understand how LLMs work at a technical level (not just as a user), can evaluate tradeoffs between model capabilities, and have opinions on RAG architectures, fine-tuning, evals, and prompt design
- Strong product taste for AI interactions: you have a refined sense for what makes AI responses feel helpful vs. frustrating, when to show confidence vs. uncertainty, and how to build trust through transparency
- Comfort with ambiguity: you're energized by defining problems, not just solving well-scoped ones. You can make progress when a roadmap doesn't exist yet.
- Analytical rigor: you fluent enough with AI and data to define success metrics for AI features and build measurement frameworks for inherently fuzzy outcomes
- Technical depth: you can partner effectively with engineers to drive the priority and importance of architecture decisions and infrastructure investments
- User empathy: you understand how non-technical users think about their data and can translate complex capabilities into intuitive experiences
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.
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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.
