Staff Product Manager, Agentic AI Applications
Core
Own the product strategy and roadmap for Databricks' Agentic Enterprise applications Platform, enabling internal teams to build production-grade AI agents in weeks.
Role type
Staff Product Manager (Internal Platform)
Builds
A managed agent runtime, standardized MCP connectors, an intelligence data/context layer, and an evaluation framework for enterprise AI applications.
Domain
Enterprise AI / Agentic Systems / Data Platform
Deliverable
production ML models | product features
Required skills
Platform product strategy, API design, developer experience (DX), AI/ML platform knowledge, agent runtime architecture, evaluation framework design, cross-functional leadership, technical trade-off analysis, executive communication.
Preferred skills
Databricks/Lakehouse architecture, LangGraph/LangChain, MCP/A2A protocols, AI evaluation/red-teaming, design systems.
Technologies
MCP, LangGraph, LangChain, Unity Catalog, MLflow, Delta Lake, Vector databases, Knowledge graphs.
Responsibilities
Define platform strategy and roadmap; establish managed agent runtime with orchestration and guardrails; build MCP connector ecosystem; design intelligence layer (knowledge/context/temporal memory); ship evaluation and quality framework; design developer experience (SDKs, CLI, templates); define federation and adoption model.
Seniority
Senior, hands-on IC
