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

Leads complex, multi-quarter Professional Services and Training engagements for Digital Native Business customers. Drives regional impact, booking and consumption goals, solves complex multi-country challenges, shapes account and sales strategy, develops senior customer relationships, and mentors Engagement Managers. Requires deep Databricks architecture and ecosystem expertise, strategic account planning, external thought leadership, hiring participation, and 25–50% travel.

Lead architecture and hands-on development of AI-powered support automation and agentic workflows to reduce time-to-mitigate, improve quality, and scale Support. Own technical vision, implement observability and rollback mechanisms, align roadmaps across teams, and mentor engineers to ensure reliability and maintainability.

Design, build, and scale Databricks AI Runtime for large-scale GPU training. Lead architecture and implementation of multi-node orchestration, scheduling, checkpointing, resilience, throughput optimization, observability, and developer tooling. Mentor engineers, partner with product and research, and deliver high-impact production rollouts supporting thousands of accelerators and diverse model workloads.

Lead transformation of global travel, expense, and corporate spend programs into a digital-first, automated model. Build scalable T&E strategy, oversee travel operations, manage suppliers and corporate card programs, implement AI-enabled expense automation and controls, ensure compliance and audit readiness, partner with cross-functional teams, and build a high-performing global team.

Drive architecture and implementation of Databricks AI Runtime for large-scale GPU training. Build scheduling, distributed training performance, resilience, observability, and developer-facing APIs/CLI. Improve GPU utilization, fault tolerance, and multi-node orchestration. Lead cross-team initiatives, mentor engineers, and deliver high-impact platform features supporting thousands of accelerators and long-running jobs.

Build and productionize customer-facing data, AI, and application solutions on the Databricks platform. Own architecture and design decisions, develop production-grade systems, integrate data pipelines with ML/AI models and user interfaces, and guide enterprise customers through implementation and adoption. Collaborate with engineering, product, support, project managers, and customer stakeholders while delivering measurable outcomes, reusable assets, documentation, training, and technical guidance. Travel to customers approximately 20% of the time.

Design and implement next-generation query engine and structured storage systems focused on performance optimization and data management.

As a Senior Software Engineer, you will develop distributed data storage and processing systems, enhance performance, and support diverse data workloads at Databricks.

The Senior Product Manager will define AI vision, partner with engineering, launch products, and engage with customers to innovate enterprise AI solutions.

The Partner Engineer will manage the technical relationship between Databricks and Microsoft Azure, drive integration efforts, and ensure product alignment with Azure's roadmap.