Product Manager

As a Technical Product Manager at Databricks, you will work closely with product managers, engineering teams, and technical field organizations to ensure the features we design and ship deliver outstanding user experiences. You will act as a bridge between technical field teams and product and engineering, with insights from customer PoCs, benchmarks, and real-world implementations directly informing product decisions. Depending on your background, you will focus on one of two critical product areas: OLTP Databases or Data Governance.

• Identify and drive impactful product improvements in your domain of expertise
• Define and run performance benchmarks (OLTP focus) or governance best practices and reference architectures (governance focus)
• Shape and prioritize a meaningful product roadmap
• Support go-to-market efforts and guide product adoption
• For governance focus: define processes and mechanisms for how AI agents securely and compliantly access the Databricks Data Intelligence Platform

• 5+ years of experience with a strong, hands-on technical background
• Strong empathy for customers across full spectrum of Data Platform users
• Deep domain expertise in one of the following: Transactional databases (OLTP), cloud-native databases, or distributed systems; Data governance, data catalogs, lineage, and access management
• Experience evaluating and comparing technologies across dimensions such as 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 effectively across product, engineering, and technical field teams

Zone 1 Pay Range: $156,600—$215,250 USD. The total compensation package may also include eligibility for annual performance bonus, equity, and the benefits listed above. Databricks is committed to fair and equitable compensation practices.

Databricks is the Data and AI company. More than 20,000 organizations worldwide 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.