Sr. Product Manager - Technical

## Responsibilities - Work closely with product managers, engineering teams, and technical field organizations to ensure the features we design and ship deliver outstanding user experiences. - Deeply understand both functional and non-functional requirements, such as performance, scalability, security, and compliance and how customers meet these requirements today. - Evaluate how these workloads are implemented on the Databricks Data Intelligence Platform and identify opportunities to improve the product experience. - Act as a bridge between technical field teams and product and engineering. - Insights from customer PoCs, benchmarks, and real-world implementations will directly inform product decisions. - Ensure that product improvements are clearly communicated back to the field. - Depending on your background, focus on one of two critical product areas: OLTP Databases or Data Governance. - Help shape our transactional database capabilities to meet the performance, reliability, and scalability requirements of modern applications and AI agents. - Help ensure data assets are governed effectively, enabling controlled access, compliance, and visibility across the organization. This includes enabling governed access for AI-driven use cases (e.g. agent-based access via MCP or similar technologies). - 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. ## Requirements - 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 one of the following: Transactional databases (OLTP), cloud-native databases, or distributed systems; or 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. ## Nice to Have - N/A ## Benefits - Pay Range Transparency: $156,600 - $215,250 USD. - Total compensation package may include annual performance bonus, equity, and benefits. - Company history: Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of Fortune 500 companies — use Databricks to solve the world’s toughest problems.