Staff Product Manager, Agentic AI Applications

The impact you will have:

• Own the Agentic Platform strategy and roadmap. Define what ships, in what order, and why. Translate organizational outcomes into concrete platform capabilities with measurable success criteria.
• Define and drive the agent and runtime. 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).
• Build the MCP connector ecosystem. Own the strategy for standardized, bidirectional connectors various systems of record. Drive on behalf of identity propagation, idempotency, dry-run/preview mode, and a connector SDK that lets domain teams onboard new systems without platform changes.
• Establish the intelligence layer. Define the three layer data architecture: knowledge graph (curated domain knowledge), context graph (live entity state from systems of record), and temporal memory (session, user preferences, and episodic history). Ensure unified retrieval across vector, structured, and graph sources with source traceability on every context element.
• Ship the evaluation and quality framework. Own the AI-judge evaluation pipeline: offline eval with golden datasets, online LLM-as-judge scoring, domain-specific judges (Finance, HR, Legal, Sales), and mandatory evaluation gates in CI/CD. No agent reaches production without passing quality and safety thresholds.
• Design the developer experience. Make the platform self-service by construction. Domain teams provision agent projects, promote across environments, and access connectors without platform-team tickets. SDK, CLI, sandbox environments, agent templates, and documentation — the paved road must be faster than building bespoke. Target: idea to production in <4 weeks for a standard agent.
• Define the federation and adoption model. Establish the three tiers of adoption (platform built, domain built on platform, citizen developer edge apps) with governance checkpoints at each gate. Drive the gold-standard promotion pipeline from edge prototype to production hardened service.

What we look for:

• 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 you understand the difference between a platform and an application, and you have opinions about API design, developer ergonomics, and self service.
• Demonstrated experience with AI/ML platforms, agent frameworks, LLM-powered applications, or agentic systems. You know what an agent runtime is, what RAG means in practice, and why evaluation is the hardest part.
• Strong technical foundation you can read architecture diagrams, discuss trade offs with engineers (e.g., sync vs. async, checkpointing strategies, context window management), and make informed prioritization decisions on deeply technical work.
• Experience defining and shipping developer experiences: SDKs, CLIs, templates, documentation, and self service workflows. You measure success by adoption and developer NPS, not feature count.
• Proven ability to lead cross-functional initiatives across 4+ teams without direct authority. You influence through clarity, conviction, and stakeholder alignment.
• Strong written communication strategy documents, PRDs, and executive briefs that drive alignment at VP and CIO level.
• Comfort with ambiguity, you will define the roadmap for capabilities that don't exist yet, in a space that is evolving weekly.

About Databricks

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 to build and scale data and AI apps, analytics and agents. 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. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.

Our Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.

Compliance

If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.