Staff Product Manager, Agentic AI Applications

<p>Location: San Francisco or Mountain View, California</p> <p>GAQ327R225</p> <p>Databricks is building an <strong>Agentic Enterprise applications Platform</strong> a scalable, governed AI application platform built on Databricks that enables any internal team (GTM, Finance, HR, Legal, Product) to build production grade agentic applications in weeks, not months. The platform provides a managed agent runtime, standardized MCP connectors to enterprise systems of record, a shared UI component library with a design system, an intelligence data/context layer and a gold-standard promotion pipeline from prototype to production.</p> <p>&nbsp;</p> <p>As a <strong>Staff Product Manager</strong>, 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. You will partner closely with Application Engineering, the CIO organization, and domain teams across GTM, HR, Finance, and Product to ensure the platform serves real needs and scales with the organization.</p> <p><strong>The impact you will have:</strong></p> <ul> <li><strong>Own the Agentic Platform strategy and roadmap. </strong>Define what ships, in what order, and why. Translate organizational outcomes into concrete platform capabilities with measurable success criteria.</li> <li><strong>Define and drive the agent &nbsp; and runtime. </strong>Establish the managed agent runtime supporting multi step orchestration with durable execution, model gateway abstraction across all providers, governed tool invocation, and configurable per-agent guardrails (cost ceilings, timeouts, blast radius limits).</li> <li><strong>Build the MCP connector ecosystem. </strong>Own the stra