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

Lead the architecture and technical direction for the ETL product line, focusing on large-scale distributed systems, performance optimization, and managing complex technical initiatives.

Lead strategy and roadmap for Databricks' SAP platform, build AI-driven agentic automation on top of SAP, own ingestion and modeling of SAP data into the Lakehouse, act as product owner through delivery, and align Finance, Procurement, and engineering to drive adoption and measurable automation outcomes.

Lead technical relationships with major AI labs to define joint roadmaps, design and build platform-to-platform integrations, create POCs and reference architectures, enable strategic customers, and produce field enablement content. Act as hands-on technical owner across product, engineering, partnerships, and GTM to drive joint AI solutions.

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

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.

Sell Databricks Lakebase to retail accounts by driving activations, running complex multi-stakeholder sales cycles, orchestrating POCs, and aligning Lakebase to measurable business outcomes. Partner with account teams, solution architects, product, marketing, and partners to enable field adoption, compete against legacy databases, and standardize Postgres in strategic accounts.

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.

Customer-facing engineer who architects and implements end-to-end Databricks data and AI solutions. Leads production-grade data pipelines, ML/AI model integration, and user-facing applications; manages technical scope and delivery, embeds with customers, contributes reusable assets, and provides product feedback to Databricks teams. Travel to customers ~20%.

As a Staff Backend Software Engineer on the AI Platform team, you will build infrastructure for AI applications, improve distributed AI workloads, and collaborate with various teams to enhance developer and data scientist experiences.

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