Staff Product Manager, Agentic AI Applications

Databricks
San Francisco, California / Mountain View, California2026-06-23

About the job

As a Staff Product Manager, you will own the product strategy, roadmap, and execution for the Agentic Platform - the foundational layer that every domain workspace depends on. You will work across agent runtime, MCP connectors, intelligence layer, evaluation framework, developer experience, and governance to deliver a platform that reduces time-to-production from months to weeks while maintaining enterprise grade quality, security, and reliability.

Responsibilities

Own the Agentic Platform strategy and roadmap; Define and drive the agent and runtime; Build the MCP connector ecosystem; Establish the intelligence layer; Ship the evaluation and quality framework; Design the developer experience; Define the federation and adoption model

Qualifications

Minimum

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

Preferred

Experience with Databricks, Lakehouse architecture, Unity Catalog, MLflow, or Delta Lake; Familiarity with LangGraph, LangChain, or similar agent orchestration frameworks; Familiarity with MCP (Model Context Protocol), A2A (Agent-to-Agent), or AG-UI protocols; Experience building AI evaluation frameworks LLM-as-judge, red-teaming, or automated quality scoring; Experience with design systems, component libraries, or frontend platform work; Background in enterprise SaaS platform consolidation or migration