Sr. Manager, Engineering - Vector Search

RDQ426R193

At Databricks, we are passionate about enabling data teams to solve the world's toughest problems - from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business.

Our Vector Search technology is at the heart of this mission, enabling developers to significantly enhance the accuracy of Retrieval Augmented Generation (RAG) and other generative AI applications. By facilitating similarity searches across a wide array of unstructured documents-including PDFs, Office documents, and Wikis-Vector Search has quickly become our fastest-growing product. This surge is fueled by the escalating demand for Generative AI capabilities among our customers. As the Engineering Team Lead for Vector Search, you'll spearhead the development of an affordable Vector Search product to power AI applications designed for ease of use, scalability, and unparalleled performance.

The key responsibilities include:

• Leading a team of talented software engineers to build the next-generation multi-tenanted, cloud native Vector Search service
• Growing the team by hiring strong engineering talent
• Leading and participating in technical, product, and design discussions relating to vector databases
• Managing and operating a highly-available service in the cloud
• Growing leaders on the team by providing coaching, mentorship, and growth opportunities
• Playing a key role in defining the product and engineering roadmap for the team
• Partnering with other engineering and product leaders on planning, prioritization and staffing
• Creating a culture of excellence on the team while leading with empathy

What we look for:

• 5+ years experience working in, database systems, search, or AI/ML systems
• Experience building highly-available cloud services
• Building, growing, and managing high performance teams
• Experience in defining and meeting SLOs for highly-available systems
• Ability to attract and hire engineers who meet the Databricks hiring standards
• Knowledge of database internals (highly Preferred)
• BS in Computer Science (Masters or PhD Preferred)