Product Manager, Omni Analysis QA

divh2Product Manager, Omni Analysis QA / h2pAirtable is the no-code app platform that empowers people closest to the work to accelerate their most critical business processes. More than 500,000 organizations, including 80% of the Fortune 100, rely on Airtable to transform how work gets done. / ppAirtable stores some of our customers most valuable operational data. Because were 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 couldnt get anywhere else. Today, getting value from all of this data requires builder skills. / ppstrongWe want to make insights about this data accessible to anyone through natural language. / strong / ppThis area of our AI product investment is relatively early, and we believe it represents a significant opportunity across three dimensions : / pullistrongEnterprise leverage : / strong 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. / lilistrongNon-builder expansion : / strong Today, you need to be a builder to get value from Airtable. Analysis and QA 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. / li / ulpstrongBecoming the business context repository : / strong Theres 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. / ppWhat youll do : / pullistrongDefine the opportunity space / strong and shape what AI-powered analysis and synthesis looks like for Airtable. / lilistrongOwn the AI-powered search, QA, and analysis experience / strong by building conversational interfaces that let users query, synthesize, and generate insights from their operational data without needing to be Airtable experts. / lilistrongDrive AI adoption among non-builders / strong by expanding who benefits from Airtable by creating AI experiences that surface value for users who never touch the builder. / lilistrongBuild the intelligence layer that keeps Airtable in the loop / strong as AI agents and external systems interact with Airtable data, ensure our AI capabilities deliver superior context-aware responses. / lilistrongShape how quantitative analysis works in an AI-native context / strong leveraging Airtables unique position as a structured, flexible, composable data store. / lilistrongCollaborate cross-functionally / strong with engineering, design, and data teams to ship high-quality AI experiences that users trust and rely on daily. / li / ulpWho you are : / pullistrongExperience building AI chat / assistant products / strong : youve shipped conversational AI, copilot, or QA experiences and understand the nuances of prompt engineering, context management, retrieval, and user trust in AI-generated outputs. / lilistrong8+ years of product management experience : / strong you have a track record of shipping products that users love, ideally including AI / ML-powered features at scale. / lilistrongGenuine AI fluency : / strong 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. / lilistrongStrong product taste for AI interactions : / strong 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. / lilistrongComfort with ambiguity : / strong youre energized by defining problems, not just solving well-scoped ones. You can make progress when a roadmap doesnt exist yet. / lilistrongAnalytical rigor : / strong youre fluent enough with AI and data to define success metrics for AI features and build measurement frameworks for inherently fuzzy outcomes. / lilistrongTechnical depth : / strong you can partner effectively with engineers to drive the priority and importance of architecture decisions and infrastructure investments. / lilistrongUser empathy : / strong you understand how non-technical users think about their data and can translate complex capabilities into intuitive experiences. / li / ulpCompensation 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 a href=https : / / airtable.com / careers / life-at-airtableLife at Airtable / a. / ppFor work locations in the San Francisco Bay Area, Seattle, New York City, and Los Angeles, the base salary range for this role is : / pp$240,000 - $339,900 USD / p / div