Overview
<p data-pm-slice="1 1 []"><span style="font-size: 10pt;">SLSQ327R184</span></p> <h2><span style="font-size: 12pt;"><strong>Product Manager, AI Ops </strong></span></h2> <p><span style="font-size: 10pt;">We are reimagining GTM at Databricks and are seeking a hands-on, technical Product Manager to own AI-powered GTM agents end-to-end - building and prototyping agents directly on Databricks. You'll sit on the AI Ops team, between senior GTM leadership, Sales Ops, and the field - translating field reality into a product roadmap that improves how Databricks sells at every stage of the motion.</span></p> <p><span style="font-size: 10pt;">This is a hands-on IC engineering role for someone who understands how AEs, BDRs, and CSMs actually operate and wants to build the agents that reimagine GTM processes in the age of AI.</span></p> <p><span style="font-size: 10pt;"><strong>Key Responsibilities</strong></span></p> <ul> <li style="font-size: 10pt;"><span style="font-size: 10pt;"><strong>Build agents on Databricks (the core of the role):</strong> Design, prototype, and ship GTM agents yourself on the Databricks platform. Write the workflow logic and tools, stand up and iterate on agents in notebooks and SQL, and debug and validate behavior with your own queries. This is hands-on building, not spec-and-handoff.</span></li> <li style="font-size: 10pt;"><span style="font-size: 10pt;"><strong>Agent behavior and quality:</strong> Define and implement how agents behave: decision logic, escalation paths, governance guardrails, and edge-case handling. Build evaluation in from the start: run experiments and A/B tests, measure quality, and tune prompts and workflows based on what the results show. </span></li> <li style="font-size: 10pt;"><span style="font-size: 10pt;"><strong>Own your agent surface end-to-end:</strong> Set the 2-quarter roadmap for your agent area, make the prioritization calls, and write the lightweight specs (PRDs / Business Intent Docs) that frame what you build. Advocate for regional and segment specific needs as team roadmaps come together.</span></li> <li style="font-size: 10pt;"><span style="font-size: 10pt;"><strong>Voice of the field:</strong> Run structured feedback loops with end users (often AEs and front-line managers) and convert what you hear directly into agent improvements you build and ship yourself rather than handing off a backlog.</span></li> </ul> <p><span style="font-size: 10pt;"><strong>What We Look For: </strong>The two things that matter most: you can build on Databricks yourself, and you have a strong gut for product development, UI, and the seller experience. </span></p> <ul> <li style="font-size: 10pt;"><span style="font-size: 10pt;"><strong>Hands-on technical builder for the AI-stack: </strong>You build on Databricks. You're comfortable in notebooks and SQL, can stand up and iterate on agents and workflows on the platform yourself, read and debug an AI workflow, and write a query to validate behavior. This is a build role, not a spec-and-handoff role.</span></li> <li style="font-size: 10pt;"><span style="font-size: 10pt;"><strong>Strong understanding of the seller experience:</strong> You have a sharp gut for product development and UI, and you can tell when an agent helps a seller vs. gets in the way and creates more overhead. You can sit with an AE for an hour and walk away with a pr