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

The Head of Corporate Engineering manages cloud infrastructure, security, and engineering tools while leading a high-performing team. Responsibilities encompass securing enterprise environments, enabling collaboration, and ensuring compliance with industry standards.

Lead a team of researchers to improve large-scale machine learning, focusing on efficiency, optimization, and scaling techniques for AI models.

The role involves leading complex, cross-functional programs in enterprise software, influencing roadmap decisions, driving execution across organizations, and ensuring successful product launches and customer adoption.

Owner/operator for Procure-to-Pay subprocesses: map and redesign workflows, build and deploy automations and data products (SQL/Python/Databricks), maintain P2P datasets and dashboards, drive adoption through change management, and prioritize intake and backlog across Procurement.

Design, train, and deploy ML models and pipelines to optimize Databricks serverless compute. Build end-to-end ML4Sys solutions, scale infrastructure, implement optimization and scheduling algorithms, and collaborate on product roadmap to improve performance and cost efficiency.

As a Staff Software Engineer, you will build distributed data systems, focusing on reliability and performance for large-scale data processing, using technologies like Apache Spark™ and Delta Lake.

The role involves building and maintaining scalable backend solutions and infrastructure for the Databricks platform, focusing on resource management and cloud services.

Lead the Reliability strategy and execution for cross-company programs at Databricks, enhancing the performance of multi-cloud infrastructure and ensuring operational excellence.

Lead product management for Lakeflow, impacting data engineering across Databricks' product portfolio. Manage the full product life cycle and collaborate with technical teams.

The role involves designing, implementing, and operating micro-services on the Databricks platform, focusing on backend development and interfacing with cloud APIs.