Sr. Product Manager - Technical

Databricks is the Data and AI company, building and running a data and AI infrastructure platform. More than 20,000 organizations worldwide rely on the Databricks Data + AI Platform.

As a Technical Product Manager, you will work closely with product managers, engineering teams, and technical field organizations to ensure features deliver outstanding user experiences. You will understand functional and non-functional requirements such as performance, scalability, security, and compliance, and act as a bridge between technical field teams and product and engineering. Insights from customer PoCs, benchmarks, and real-world implementations inform product decisions. Depending on background, focus on one of two product areas: OLTP databases (transactional database capabilities for modern applications and AI agents) or data governance (governed access, compliance, and visibility, including agent-based access via MCP or similar technologies).

Identify and drive product improvements; define and run performance benchmarks (OLTP focus) or governance best practices and reference architectures (governance focus); shape and prioritize the product roadmap; support go-to-market efforts and guide product adoption.

• 5+ years of experience with a strong, hands-on technical background
• Strong empathy for customers across the full spectrum of Data Platform users
• Deep domain expertise in transactional databases (OLTP), cloud-native databases, or distributed systems, OR data governance, data catalogs, lineage, and access management
• Experience evaluating and comparing technologies across performance, reliability, governance, and compliance
• Strong Python and SQL skills
• Experience using AI-assisted development tools
• Experience with systems design and architecture
• Proven ability to work across product, engineering, and technical field teams

Zone 1 Pay Range: $156,600—$215,250 USD. Total compensation may include annual performance bonus, equity, and benefits.

Eligibility for annual performance bonus and equity.

Apply via the Databricks careers page for this role.