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

The Sr. Research Scientist will advance deep learning techniques, optimize ML systems, and drive innovations for large-scale neural network training.

As a Senior Staff Applied AI Engineer at Databricks, you will design and build retrieval systems, optimize search for both LLMs and humans, and lead technical direction and team growth.

As a Staff Backline Engineer at Databricks, you will resolve complex technical escalations, enhance product supportability, lead automation initiatives, and act as a liaison between support and engineering teams, ensuring exceptional customer satisfaction through deep technical expertise.

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.

Lead the strategy and execution of sales compensation, ensuring transparency and effectiveness across tools and communication. Collaborate with multiple departments to enhance the compensation experience through AI and analytics.

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.

The Strategic Account Executive will acquire new enterprise accounts, develop growth strategies, and establish C-Level relationships in the Digital Natives sector. They will drive revenue by managing complex sales cycles and creating long-term partnerships through tailored solutions.

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.