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

As a Staff Backend Software Engineer on the AI Platform team, you will build infrastructure for AI applications, improve distributed AI workloads, and collaborate with various teams to enhance developer and data scientist experiences.

As a Staff Backend Software Engineer, you will design and implement systems for high-scalability and low-latency inference using AI models, driving architectural decisions and mentoring teams.

The Staff Backend Software Engineer will design and implement systems for Databricks Model Serving, focusing on scalability, reliability, and operational excellence in serving AI/ML models.

The role involves deep troubleshooting, root cause analysis, and architectural optimization in the Data and AI ecosystem to enhance platform reliability and supportability.

As a Senior Engineer at Databricks, you'll design scalable systems for AI/ML model serving, improve performance, and lead technical initiatives.

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.

The Finance Manager will partner with Product Support to manage the Support P&L, build capacity models, assess financial impacts, and drive operational improvements. Key responsibilities include designing KPIs, analyzing financial data, and facilitating cross-functional collaborations for strategic planning.

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.