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

Design tools for complex data workflows, focusing on data ingestion experiences for engineers and analysts, while collaborating across teams.

The Finance Manager will partner with Product Support to manage the Support P&L, build capacity models, assess financial impacts, and drive operational improvements. Key responsibilities include designing KPIs, analyzing financial data, and facilitating cross-functional collaborations for strategic planning.

As a Sr. Software Engineer, you'll enhance Databricks' customer support with AI-driven systems, ensuring improved automation and user experience across support engineering operations.

The role involves deep troubleshooting, root cause analysis, and architectural optimization in the Data and AI ecosystem to enhance platform reliability and supportability.

Lead the development of the Workspace Platform infrastructure and manage software engineering teams to enhance user experiences across Databricks products.

As a Staff Engineer, you'll lead technical strategies for user activation processes, ensuring seamless onboarding and user experiences while mentoring a team of engineers.

Lead a team of machine learning engineers to improve infrastructure efficiency through ML and optimization algorithms at Databricks.

The Head of Corporate Engineering manages cloud infrastructure, security, and engineering tools while leading a high-performing team. Responsibilities encompass securing enterprise environments, enabling collaboration, and ensuring compliance with industry standards.

The Solutions Architect drives technical strategy in major accounts, guiding enterprises in adopting Databricks for data-driven transformation and building technical leadership within client organizations.

As a Senior Applied AI Engineer, you will develop and deploy machine learning models, improve system performance, and drive AI initiatives at Databricks.