Job Summary:
Databricks is a data and AI company that empowers data teams to solve complex problems through its innovative platform. The Technical Product Manager will collaborate with product managers and engineering teams to enhance user experiences and ensure the product meets both functional and non-functional requirements.
Responsibilities:
• 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
Qualifications:
Required:
• 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
• Deep domain expertise in one of the following: 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
Company:
Databricks is a data and AI platform that unifies data engineering, analytics, and machine learning on a lakehouse architecture. Founded in 2013, the company is headquartered in San Francisco, USA, with a team of 5001-10000 employees. The company is currently Late Stage.