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

Lead global procure-to-pay transformation, owning procurement operations, accounts payable, third-party onboarding, financial controls, and P2P systems. Drive end-to-end automation and AI orchestration, ensure real-time spend visibility and SOX-ready controls, standardize global processes, and build a high-performing distributed P2P organization aligned with finance and IT leadership.

Build and maintain Databricks-based data pipelines, analytics layers, dashboards, and internal AI applications for the ISV partner organization. Own metrics, monitoring, governance, and self-serve reporting; prototype partner-product integrations and provide feedback as an early adopter to product and DevRel teams.

Lead the engineering team in developing next-generation ETL features for Databricks Lakeflow. Oversee recruitment, manage technical debt, and ensure high-quality infrastructure services.

Design AI/BI product experiences that make natural-language data queries and AI-generated insights intuitive, transparent, and actionable. Lead end-to-end design from exploration to validation and action, collaborate with product and engineering, define AI-native enterprise patterns, and influence long-term AI/BI strategy.

As a Senior Product Manager for Databricks Repos, you will define and drive the vision for the developer experience related to version control and workflow integration for data and AI applications.

Lead strategy and execution to drive adoption of serverless workspaces, simplify workspace creation, ensure enterprise governance, integrate with Unity Catalog and identity, and define policies to manage workspace proliferation.

Lead and scale People M&A operations by converting manual workflows into automated, documented playbooks. Drive cross-functional execution across recruiting, IT onboarding, HR ops, and People Tech. Establish data ownership and single source of truth, roadmap People M&A priorities, and deliver consistent, error-free employee integration during acquisitions.

Lead GEO and AI search optimization to increase Databricks' visibility and citations across AI answer engines and organic search. Build experimentation programs, publish AI-citable technical content, maintain technical SEO health (schema, crawlability, Core Web Vitals), and partner cross-functionally to drive traffic, conversions, and pipeline while delivering executive reporting and a repeatable GEO playbook.

Lead and grow a Developer Relations team focused on open source projects (Spark, Delta Lake, MLflow, Iceberg, Omnigent). Define strategy and success metrics, coach advocates, create high-quality technical content and events, engage with Apache/Linux Foundation communities, align community needs with product R&D, and drive external adoption and contributor growth.

Lead technical pre-sales engagements for the Databricks platform: develop customer strategies, influence stakeholders and C-levels, build proofs-of-concept, coach junior architects, deliver workshops, and drive adoption of Data Intelligence solutions while collaborating with account teams.