Product Manager, AI Ops

Databricks is seeking a hands-on, technical Product Manager to own AI-powered GTM agents end-to-end, building and prototyping agents directly on the Databricks platform. The role sits 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. 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.

• Build agents on Databricks: design, prototype, and ship GTM agents yourself on the platform, writing workflow logic and tools, iterating on agents in notebooks and SQL, and debugging and validating behavior with your own queries.
• Define and implement agent behavior: decision logic, escalation paths, governance guardrails, and edge-case handling; build evaluation in from the start by running experiments and A/B tests, measuring quality, and tuning prompts and workflows based on results.
• Own your agent surface end-to-end: set the 2-quarter roadmap for your agent area, make prioritization calls, and write lightweight specs (PRDs / Business Intent Docs).
• Advocate for regional and segment-specific needs as team roadmaps come together.
• Run structured feedback loops with end users (often AEs and front-line managers) and convert feedback directly into agent improvements you build and ship yourself.

• Hands-on technical builder for the AI stack: comfortable in notebooks and SQL, can stand up and iterate on agents and workflows on the platform, read and debug an AI workflow, and write a query to validate behavior.
• Strong understanding of the seller experience: sharp gut for product development and UI, and the ability to tell when an agent helps a seller vs. creates overhead.
• Pattern recognition and judgment: takes field feedback seriously even when data disagrees, and distinguishes one-off complaints from signals worth a roadmap slot.
• Bias to ship: owns rollout gates, balancing speed against quality.
• 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.
• Hands-on experience building on Databricks (SQL, notebooks, and agent or workflow tooling) or similar technology stacks is a strong plus.

Pay ranges by zone: Zone 1 $125,000—$171,950 USD; Zone 2 $112,600—$154,750 USD; Zone 3 $106,300—$146,200 USD; Zone 4 $100,000—$137,500 USD. Total compensation may also include eligibility for annual performance bonus, equity, and benefits.

Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog.