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 serviceGrowing the team by hiring strong engineering talentLeading and participating in technical, product, and design discussions relating to vector databasesManaging and operating a highly-available service in the cloudGrowing leaders on the team by providing coaching, mentorship, and growth opportunitiesPlaying a key role in defining the product and engineering roadmap for the teamPartnering with other engineering and product leaders on planning, prioritization and staffingCreating a culture of excellence on the team while leading with empathyWhat we look for: 5+ years experience working in database systems, search, or AI/ML systemsExperience building highly-available cloud servicesBuilding, growing, and managing high performance teamsExperience in defining and meeting SLOs for highly-available systemsAbility to attract and hire engineers who meet the Databricks hiring standardsKnowledge of database internals (highly preferred)BS in Computer Science (Masters or PhD preferred)Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents base salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks utilizes the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above.
Local Pay Range: $222,000 — $300,000 USD
About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark, Delta Lake and MLflow.
Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
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