Staff Product Manager, Agentic AI Applications

Databricks is a data and AI platform that lets organizations build analytics, AI agents, and applications on a unified, governed lakehouse.

Series F+0 current maintainers0 active leads
160 Spear Street, Suite 1300, San Francisco, CA 94105, United States
About Databricks

Data engineers, analysts, and AI teams use Databricks to process large datasets, build reliable pipelines, and train models on a single governed platform. Users can run SQL analytics, serve ML predictions in real time, and deploy AI agents grounded in enterprise data. Its open lakehouse architecture provides consistent security and governance across analytical and operational workloads.

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Skills

Candidate Availability

Required and preferred rules are kept separate and reflect the wording in the original posting.

About the Role

You will own the product strategy, roadmap and execution for the Agentic Platform, the foundational layer for internal domain workspaces. You'll work across agent runtime, MCP connectors, intelligence layer, evaluation framework, developer experience and governance to cut time-to-production from months to weeks, partnering with Application Engineering, the CIO organization and domain teams.

Requirements

  • 8+ years of product management experience, with at least 3 years on internal platform, infrastructure or developer-experience products
  • Experience building platforms that other teams build on
  • Experience with AI/ML platforms, agent frameworks, LLM-powered applications or agentic systems
  • Strong technical foundation
  • Experience defining and shipping developer experiences
  • Ability to lead cross-functional initiatives across 4+ teams without direct authority
  • Strong written communication
  • Comfort with ambiguity

Responsibilities

  • Own the Agentic Platform strategy and roadmap
  • Define and drive the managed agent runtime
  • Build the MCP connector ecosystem
  • Establish the intelligence layer (knowledge graph, context graph, temporal memory)
  • Ship the AI-judge evaluation and quality framework
  • Design the developer experience (SDK, CLI, sandboxes, templates, documentation)
  • Define the federation and adoption model with governance checkpoints

Benefits

  • Annual performance bonus eligibility
  • Equity eligibility