About the job
At Databricks, we are driven by a mission to empower data teams to tackle the world’s most complex challenges, from revolutionizing transportation to fast-tracking medical innovations. We achieve this by developing and operating a leading data and AI infrastructure platform that allows our customers to harness deep data insights to enhance their businesses. Established by engineers with a customer-centric approach, we thrive on overcoming technical hurdles—from designing next-generation UI/UX for data interaction to scaling our services and infrastructure across millions of virtual machines. Our journey has just begun.
About the Team:
As a Senior Technical Product Manager, you will collaborate closely with product managers, engineering teams, and technical field organizations to ensure that the features we design and deliver provide exceptional user experiences. This role requires a profound understanding of both functional and non-functional requirements, such as performance, scalability, security, and compliance, and how our customers currently meet these needs. You will assess how these workloads are executed on the Databricks Data Intelligence Platform and identify opportunities to enhance the product experience. Acting as a liaison between technical field teams and product and engineering, insights from customer Proofs of Concept (PoCs), benchmarks, and real-world implementations will inform product decisions directly. Additionally, you will ensure that product enhancements are effectively communicated back to the field.
Depending on your expertise, you will concentrate on one of two critical product areas:
OLTP Databases
You will assist in shaping our transactional database capabilities to meet the performance, reliability, and scalability needs of modern applications and AI agents.
Data Governance
You will contribute to the effective governance of data assets, enabling controlled access, compliance, and visibility across the organization. This includes facilitating governed access for AI-driven use cases (e.g., agent-based access via MCP or similar technologies).

