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Product Manager, Omni Analysis & Q&A Jobs

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Product Manager, Omni Analysis & Q&A
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Lead AI product innovation at Airtable as a Product Manager for Omni Analysis & Q&A. You will define conversational AI experiences, leveraging 8+ years of PM expertise and deep technical fluency in LLMs and RAG. This San Francisco or New York-based role focuses on making data insights accessible ...
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United States , San Francisco; New York
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Salary
240000.00 - 339900.00 USD / Year
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Airtable
Expiration Date
Until further notice
Explore Product Manager, Omni Analysis & Q&A jobs and discover a pivotal role at the intersection of artificial intelligence, data strategy, and user experience. This specialized product management profession focuses on creating intuitive, AI-powered systems that allow users to interact with complex data through natural language. Professionals in this field are responsible for building the next generation of conversational interfaces, such as intelligent search, Q&A platforms, and analytical copilots, that democratize data insights for a broad audience. The core mission is to translate advanced AI capabilities into practical, trustworthy tools that empower both technical and non-technical users to query, synthesize, and generate actionable insights from their data seamlessly. Typical responsibilities for these product managers involve defining the strategic vision and roadmap for AI-driven analysis products. They own the end-to-end user experience, ensuring that conversational interfaces are helpful, reliable, and context-aware. A key part of the role is collaborating extensively with engineering, machine learning, design, and data science teams to ship high-quality features. They are also tasked with building the underlying intelligence layer that manages data context, retrieval, and response generation, often making critical architectural decisions regarding retrieval-augmented generation (RAG), model selection, and agentic workflows. Driving adoption and measuring the success of inherently ambiguous AI features through robust evaluation frameworks is another common duty. The typical skill set and requirements for these jobs are distinct. Candidates generally need substantial product management experience, with a strong preference for backgrounds in shipping AI/ML or conversational interface products. Genuine technical fluency in large language models (LLMs), prompt engineering, and AI architecture is essential to partner effectively with engineers. These professionals must possess a refined product sense for AI interactions, understanding how to build user trust through transparent and confident interfaces. Analytical rigor, comfort with strategic ambiguity, and deep user empathy—especially for non-expert users—are paramount. Success in these jobs hinges on the ability to bridge complex AI technology with simple, intuitive user experiences, making sophisticated data analysis accessible to all. For those passionate about shaping how humanity interacts with information, Product Manager, Omni Analysis & Q&A jobs offer a challenging and rewarding career path at the forefront of the AI revolution.

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