Top Tech Jobs & Startup Jobs in San Francisco, CA

Design, build, and operate AI-native, cloud-native infrastructure for Azure Kubernetes Service. Improve reliability, automation, and developer velocity for distributed, containerized, and AI workloads; integrate AI tools into engineering workflows.

Serve as strategic marketing partner to U.S. operating units, translate business priorities into integrated field marketing plans, execute events and account-based programs, drive customer and executive engagement, align marketing investments with sales, measure performance, and coordinate cross-functional teams to influence pipeline and revenue outcomes.

Design, build, and operate large-scale distributed host networking systems for Azure. Develop and maintain host agent services for network configuration, connectivity, and traffic orchestration. Improve reliability, observability, and deployment safety; lead incident root-cause analysis; drive architecture and mentor engineers.

Lead cross-functional product strategy and roadmap for Azure HPC & AI compute platform. Use AI-driven research and telemetry to define, prioritize, and launch features, ensure security and compliance, drive go-to-market, and measure product performance across distributed systems and enterprise customers.

Design and build distributed, cloud-native infrastructure for Azure Kubernetes Service. Improve reliability, automation, and developer velocity; integrate AI tools; support GPU/accelerator orchestration and AI workload deployment at scale.

Lead design, implementation, and operation of cloud-scale services to improve GPU inference efficiency and utilization across Azure. Translate research into production, build telemetry and control-plane systems, optimize workload placement and capacity, and mentor engineers while collaborating with AI, hardware, and platform teams.

Drive partner-led AI adoption by providing architecture guidance, hands-on enablement, and reference implementations on Microsoft Cloud and Azure ML. Advise on governance, observability, Responsible AI, cost and token economics, and build repeatable, outcome-based AI offerings including agentic, copilot, and LLM-powered solutions.

Lead design and delivery of large-scale Azure platform solutions to improve reliability, performance, and scalability. Collaborate with stakeholders, drive architecture and cross-team remediation, mentor engineers, be a DRI for services, monitor production, and incorporate AI/ML and telemetry to enhance operations and observability.

Design and scale Azure infrastructure solutions, create reference architectures and migration IP, advise customers and partners, drive product feedback to engineering, enable migrations and modernization, and deliver community technical enablement and training.

Lead strategy and execution for offensive and defensive AI agents, oversee ML and data science capabilities, ensure safety/governance, deliver production-grade agentic security systems, hire and develop engineering and research teams, and partner across product and platform teams to drive customer impact.