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

As a Sr. Staff Technical Solutions Engineer, you will provide specialized support to Databricks' strategic customers, solve technical challenges, and optimize performance using Spark and data technologies.

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.

Develop post-training recipes and systems for enterprise data agents capable of autonomous planning, code generation, and multi-step workflows. Partner with product teams to turn prototypes into production features for Databricks' Genie, and build context-discovery systems that use lakehouse data, notebooks, and code. Provide design, execution, debugging, and mentorship to raise team technical standards.

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.

Own product marketing for Genie, developing messaging, content, and cross-channel GTM targeting business and technical buyers. Drive awareness, launches, adoption, sales enablement, partner campaigns, and customer proof points to demonstrate business impact.

Own the AI platform product roadmap, drive strategy for ML/AI infrastructure (training, serving, monitoring, vector search, feature stores), partner with engineering and GTM to operationalize AI at enterprise scale, and define pricing and commercialization to increase adoption.

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.

Support Sales Finance by building financial models, analyzing usage and bookings trends, improving forecast reliability, and delivering insights and recommendations to sales and finance leadership.