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

The Senior Staff Product Operations Manager will lead operational strategies across Engineering and Product, ensuring alignment and data-driven decision-making to enhance product lifecycle and GTM effectiveness.

The Senior Executive Assistant will support the Engineering leader by managing calendars, scheduling meetings, and enhancing team efficiency through effective administrative support.

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%.