Product Manager, Omni Analysis & Q&A jobs in United States
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Airtable · 7 hours ago

Product Manager, Omni Analysis & Q&A

Airtable is a no-code app platform that empowers organizations to accelerate their business processes. The Product Manager for Omni Analysis & Q&A will define AI-powered analysis opportunities, drive AI adoption, and collaborate with teams to enhance user experiences with operational data.

DatabaseDeveloper ToolsSaaSSoftware
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H1B Sponsor Likelynote

Responsibilities

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

Qualification

AI chat/assistant productsAI/ML product managementLLMs technical understandingAnalytical rigorTechnical depthUser empathyComfort with ambiguityProduct taste

Required

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

Benefits

The opportunity to receive benefits
Restricted stock units
Incentive compensation

Company

Airtable

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Airtable is a cloud-based software company that offers an online platform for creating and sharing relational databases.

H1B Sponsorship

Airtable has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (18)
2024 (12)
2023 (16)
2022 (40)
2021 (28)
2020 (11)

Funding

Current Stage
Late Stage
Total Funding
$1.35B
Key Investors
XNGreenoaksThrive Capital
2022-07-01Secondary Market
2021-12-13Series F· $735M
2021-03-15Series E· $270M

Leadership Team

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Howie Liu
Cofounder, CEO
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Andrew Ofstad
Co-founder
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Company data provided by crunchbase