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

Lead Services Sales account strategy for multiple assigned accounts, drive renewals, upsells, and strategic cloud/AI opportunities. Orchestrate the account team, manage deals from qualification through close, ensure smooth sales-to-delivery handoffs, gather customer insights, and align Microsoft services to customer priorities to grow consumption and satisfaction.

Lead product security initiatives for cloud, AI, and enterprise platforms. Responsibilities include threat modeling, security architecture reviews, identifying systemic weaknesses, developing secure-by-design guidance and reference architectures, advising engineering and product leaders, leveraging AI and automation for scalable security assessments, investigating emerging attack paths, mentoring teams, and improving security review methodologies and tooling.

Lead end-to-end category and account strategy for Windows devices or Silicon across US/Canada, driving assortment, partner programs, execution, reporting, and incentives to grow market share and influence product and go-to-market priorities.

Develop, design, and implement code for Azure hyperscale WAN features; gather requirements, estimate and decompose work, participate in on-call DRI duties, monitor reliability and performance, and troubleshoot large-scale distributed systems.

Design, implement, and operate cloud-scale telemetry platforms and data pipelines for Azure Monitor. Lead cross-team architecture, mentor engineers, improve AI-enabled development practices, ensure security/compliance, and resolve complex production incidents.

Lead and develop Site Reliability Engineering teams operating Microsoft Substrate services in regulated environments. Own reliability, availability, incident response, disaster recovery, SLOs, operational metrics, automation, and compliance. Serve in the on-call rotation, drive systemic post-incident improvements, conduct recovery exercises, and partner with engineering, product, security, infrastructure, and compliance teams to build resilient, auditable cloud services.

Designs, operates, and improves large-scale cloud networking infrastructure supporting AI and HPC workloads. Responsibilities include developing network roadmaps, solving complex systems issues, performing incident root-cause analysis, automating network operations, optimizing reliability and performance, and serving as a networking service owner. The role requires expertise in high-speed fabrics, routing protocols, datacenter Ethernet, optical telemetry, cloud-scale operations, and production network design.

Lead product strategy and roadmap for frontier AI models. Define evaluations and benchmarks, partner with researchers and partners, set launch readiness criteria, and translate emerging capabilities into customer-focused product priorities.

Operate and improve large-scale HPC GPU clusters for AI model training and inference. Build observability, automation, CI/CD, and incident response tooling; lead on-call rotations, ensure security/compliance, collaborate with ML engineers, and optimize capacity and costs for production ML workloads.

Design, develop, and operate monitoring and observability solutions for flagship supercomputers. Build data pipelines to process large telemetry and logs, respond to incidents, implement mitigations, write postmortems, and improve reliability, performance, and operational runbooks at scale.