Latest Product Management jobs at Databricks

Staff Product Manager for the Databricks Runtime team, owning product strategy, customer requirements, roadmaps, launches, and cross-functional delivery. Requires 6+ years of experience, a computer science bachelor's degree, cloud infrastructure expertise, and strong SQL-based data analysis skills.

Leads technical product strategy for OLTP databases or data governance, translating customer and field insights into product improvements, roadmaps, benchmarks, and adoption initiatives. Requires 5+ years of hands-on technical experience, strong Python and SQL skills, and expertise in relevant database or governance domains.

The Senior Product Manager will shape strategy and roadmap for Lakeflow Jobs, focusing on orchestration, authoring, triggers, and observability for data and AI workflows. The role requires 5+ years of experience, product management expertise, and technical fluency in orchestration tools, data pipelines, SQL, and Python.

Leads end-to-end product management for the Databricks Runtime team, shaping strategy, roadmaps, customer requirements, and launches. Requires 6+ years of product management experience, cloud infrastructure knowledge, SQL and operational data analysis skills, and a bachelor's degree.

Leads product strategy and delivery for Databricks’ SAP platform, including AI-powered finance automation, SAP data integration into the lakehouse, and governance. Requires 7+ years of product experience, deep SAP finance-process expertise, and experience with enterprise ERP implementations and modern AI/data platforms.

Own the AI strategy and roadmap for Databricks' Scaled Customer Enablement Agent Suite. Define agent behaviors, structure knowledge bases for RAG, drive field adoption of AI-powered enablement recommendations, and partner with technical teams to improve account health and user training.

New grad Associate Product Manager role at Databricks. Own end-to-end product projects on the Data Intelligence Platform: deeply understand customer problems, prototype and validate ideas, collaborate with engineers and designers to ship features, and iterate based on feedback. Requires CS/engineering degree (2027 grad), hands-on experience with SQL/Python and AI tools, strong analytical and communication skills.

12-week summer Product Management internship at Databricks. Own end-to-end projects: understand customer problems, prototype/test ideas with users and engineers, ship features on the data/AI platform. Requires CS/engineering student (grad 2027-28), hands-on experience with AI tools, SQL/Python, analytical and communication skills.

Lead strategy and delivery for a zero-to-one People Pod building agentic AI workflows and automation to unify employee experience across HR systems at Databricks. Requires 5+ years PM experience, HR domain expertise, and strong technical fluency with AI/automation.

Own strategy, roadmap, and execution for Databricks' Agentic Platform—the foundational layer enabling domain teams to build production-grade agentic applications. Drive agent runtime, MCP connectors, intelligence layer, evaluation framework, and developer experience.

Leads strategy for Databricks' Serverless Workspaces platform, driving instant workspace creation, governance, and adoption while simplifying cloud infrastructure for users. Requires 7+ years as PM in cloud/developer platforms with deep technical knowledge of AWS, Azure, or GCP.

Lead strategy for Databricks' Serverless Workspaces platform, enabling instant workspace creation with governance. Requires 7+ years PM experience in cloud infrastructure and passion for simplifying complex workflows.

Technical Product Manager drives product improvements in OLTP databases or data governance, bridging technical field teams with product/engineering. Requires 5+ years experience, deep domain expertise, strong Python/SQL skills, and systems design knowledge.

Leads product vision for Databricks Repos, enhancing Git-based workflows for data/AI teams with AI-assisted features and integrations. Requires 5+ years PM experience in developer tools and hands-on building.

Leads product vision, strategy, and roadmap for Databricks Compute Platform (Classic, SQL Warehouses, Serverless). Collaborates cross-functionally with engineering, customers, and stakeholders to deliver high-impact features. Requires 5+ years PM experience in cloud/data platforms and CS background.

Drive product vision and strategy for Databricks AI platform, partnering with engineering and research to transform AI breakthroughs into scalable enterprise tools. Requires 5+ years PM experience, strong technical background in AI/ML, and SQL analytics skills.

Leads product vision, strategy, and execution for Unity Catalog governance platform. Drives new security features, platform services, and customer adoption, requiring 5+ years B2B PM experience and data tech background.

Leads product vision, strategy, and execution for Unity Catalog governance and security features in Databricks Lakehouse platform. Requires 5+ years B2B PM experience, CS background, and expertise in data infrastructure for enterprise customers.

Senior Product Manager shapes vision, strategy, and roadmap for Databricks Free Edition to make data and AI learning engaging and accessible. Collaborates cross-functionally, engages users, and defines success metrics; requires 5+ years PM experience in data/AI.

Leads data security product strategy for Databricks Lakehouse, delivering controls for privacy, compliance, and access. Requires 7+ years PM experience and deep expertise in data security, privacy, encryption across multi-cloud environments.

Leads data security product strategy for Databricks Lakehouse, delivering controls for privacy, compliance, and access management across multi-cloud environments. Requires 7+ years PM experience and deep expertise in data security, privacy, and encryption.

Leads product management for Lakeflow in Data Engineering, owning vision, strategy, roadmap, and execution. Partners with teams to integrate across Databricks portfolio. Requires 5+ years PM experience and CS/engineering background.