Top Tech Jobs & Startup Jobs in San Francisco Bay Area, CA

The Sr. Compensation Manager will develop compensation models, manage processes in the employee life cycle, and partner with leadership to address business needs.

Lead product strategy and execution for an enterprise agentic AI platform. Own agent runtime, MCP connectors, intelligence/data layers, evaluation frameworks, developer experience (SDK/CLI/templates), and governance to enable domain teams to build and promote production-grade agentic applications rapidly while ensuring security, quality, and scalability.

Lead a zero-to-one product area building unified, AI-driven employee and manager experiences. Define strategy for agentic automation, partner with engineering and People Ops, deliver integrations across HR systems, set success metrics, and drive adoption and iteration for internal productivity and AI workflows.

As a Senior Data Scientist at Databricks, you'll shape data science strategies, collaborate with stakeholders, mentor junior scientists, and build internal data products.

Partner with sales to design and present scalable Databricks Lakehouse architectures. Consult on big data pipelines, data engineering, and ML projects, validate integrations, build demos and reference architectures, and act as a trusted technical advisor to grow platform adoption and deliver production solutions.

The Staff Software Engineer will develop and maintain infrastructure for AI research, improve tooling for researchers, and mentor engineers in creating scalable systems for experiments and model training.

The Senior Executive Assistant supports the COO by managing schedules, global travel, strategic initiatives, and cross-department collaboration, ensuring seamless operations and communication.

12-week paid summer internship where you'll own an end-to-end product project: research customer problems, prototype and test solutions, work with engineers and designers to ship features on Databricks, and iterate with scale, quality, and security considerations.

Join Databricks' 2027 APM cohort to own end-to-end product projects: understand customer problems, prototype and validate ideas, work with engineers and designers to build and launch features on the Databricks platform, and iterate using data-driven feedback.

Architect and build an enterprise-grade, multi-tenant AI-native workflow platform for agentic automation. Design scalable backend microservices, state-machine workflows, LLM orchestration, observability, reliability, and integrations across multi-cloud environments while mentoring engineers and collaborating with product and platform teams.