AI OperationsActive$125K

Databricks
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The opportunity

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 -…

What you'll do

  • Build agents on Databricks (the core of the role): 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.

  • Agent behavior and quality: 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.

  • Own your agent surface end-to-end: 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.

  • Voice of the field: 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.

  • Hands-on technical builder for the AI-stack: 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.

  • Strong understanding of the seller experience: 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 prioritized list of where to build, and you can feel out the difference between a personal preference and a best practice worth replicating.

What they're looking for

  • Pattern recognition & judgement: You take field feedback seriously even when the data disagrees, and you know the difference between a one-off complaint and a signal worth a roadmap slot.
  • Bias to ship: The roadmap moves fast and you'll own rollout gates, balancing speed against quality.
  • Experience: 5+ years in product management, GTM strategy, sales ops, or a: field-adjacent role such as Solutions Architect, with at least 3 years owning a product or program end-to-end. A strong, firsthand understanding of the AE workflow and how reps actually sell matters more than the title on your resume. Hands-on experience building on Databricks (SQL, notebooks, and agent or workflow tooling) or similar technology stacks is a strong plus.