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

Leads Microsoft’s end-to-end technology strategy for a complex global manufacturing account. Develops enterprise architecture, AI, data, cloud, cybersecurity, modernization, manufacturing, and resilience roadmaps; advises C-suite executives; orchestrates Microsoft, partner, engineering, and specialist teams; and shapes strategic transformation opportunities from initial strategy through deployment, adoption, and business value realization.

Lead end-to-end operations for large-scale AI training supercomputers, coordinating engineering, datacenter, business, and customer teams. Manage infrastructure availability, training reliability, incident response, repair and recovery, maintenance, operational readiness, SLAs, and customer commitments. Identify operational risks, lead recovery from complex issues, and convert lessons learned into scalable improvements in observability, automation, tooling, and fleet operations.

Lead the long-term strategy, roadmap, and cross-organizational execution for AI agent and skill authoring across Microsoft Copilot products. Define platform direction, lifecycle capabilities, governance, metrics, and investment priorities while aligning engineering, design, marketing, executives, and partners. Use customer research, telemetry, market intelligence, experimentation, and AI-assisted insights to drive adoption, reliability, responsible AI, and enterprise-scale outcomes.

Leads Microsoft customer commercial strategy, negotiations, deal execution, revenue growth, and compliance. Develops pricing and negotiation strategies, aligns Sales and Finance stakeholders, proposes commercial solutions, addresses customer concerns, and builds trusted executive-level relationships. Analyzes financial and commercial risks, identifies opportunities for offerings such as Copilot, and manages complex licensing and commercial agreements.

Deliver proactive and reactive support for mission-critical Azure solutions. Assess and improve customer solution health, performance, availability, and resilience; troubleshoot critical incidents; provide technical guidance and workshops; and collaborate with support, account, engineering, and customer teams. Manage Azure opportunities, participate in on-call rotations, strengthen customer relationships, communicate service offerings, and drive continuous delivery improvements.

Design, implement, and operate production-quality AI framework components, benchmark and optimize large model training and inference across GPUs and Microsoft hardware, build automation and observability, drive cross-team projects from definition to deployment, and provide technical leadership and mentorship for improvements in performance, reliability, and model onboarding velocity.

Leads go-to-market strategy and operating models that drive adoption of Microsoft Security AI capabilities, including Security Copilot and agentic SOC workflows. Designs customer usage motions from targeting and activation through sustained adoption, value realization, renewal, and expansion. Analyzes customer and operational data, develops playbooks and enablement, coordinates cross-functional teams, and establishes feedback loops to improve measurable customer and business outcomes.

Lead technical strategy, architecture, and multi-year roadmaps for networking supporting hyperscale AI training and inference infrastructure. Evaluate InfiniBand, RDMA, Ethernet, switches, optics, and interconnect technologies; translate AI workload needs into system requirements; influence suppliers and cross-functional stakeholders; and drive initiatives from proof of concept through qualification, production deployment, and lifecycle improvement. Establish performance and reliability metrics while resolving technical, operational, supply, and execution risks.

Leads Microsoft commercial fiscal-year planning content strategy, governance, orchestration, and audience experiences. Translates business strategy and leadership decisions into executive narratives, manager resources, field materials, and individual contributor guidance. Coordinates stakeholders, milestones, dependencies, risks, approvals, and delivery across global and regional teams. Improves content usability, accessibility, discoverability, and adoption while driving readiness and continuous process improvement, including responsible AI-enabled efficiencies.

Define architectural direction for Azure Specialized platform services and lead the design of highly available distributed cloud systems. Drive reliability, scalability, observability, security, diagnostics, and operational improvements across engineering organizations. Establish service health frameworks, SLOs, metrics, and governance for mission-critical services. Mentor engineers, influence technical strategy, resolve complex cross-system challenges, and advance AI-assisted troubleshooting and platform modernization.