Note: The job is a remote job and is open to candidates in USA. Databricks is a leading Data and AI company seeking a hands-on, technical Product Manager for their AI Ops team. The role involves building AI-powered GTM agents, translating field feedback into product improvements, and managing the end-to-end development process.
Responsibilities
- 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
Skills
- 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
- Strong understanding of the seller experience
- Hands-on technical builder for the AI-stack
- Pattern recognition & judgement
- Bias to ship
- Hands-on experience building on Databricks (SQL, notebooks, and agent or workflow tooling) or similar technology stacks is a strong plus
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