Top Program and Project Management Jobs in San Francisco, CA

Oversee execution of Enterprise programs and approved investments, translating requirements into delivery plans, milestones, governance, and operating rhythms. Track risks, dependencies, funding, compliance, and outcomes; resolve issues and provide leadership visibility through data-informed reporting. Improve operational efficiency by standardizing processes, strengthening accountability, and applying AI and automation to create scalable execution practices across cross-functional teams.

Leads the design, delivery, and optimization of Microsoft AI Cloud Partner Program offerings focused on security. Develops partner strategies, requirements, messaging, success metrics, and implementation plans while coordinating cross-functional teams and external partners. Uses data-driven analysis to improve partner engagement, adoption, growth, and program effectiveness. Manages strategic initiatives, risks, timelines, resources, and continuous improvement across Microsoft's global partner ecosystem.

Manage IP co-sell operations with SAP and other partners, owning end-to-end processes, coordinating global and field stakeholders, resolving business blockers, and improving operational efficiency. Lead partner onboarding, reporting, enablement, engineering workstreams, and Build-With initiatives. Drive scalable programs, process improvements, and frameworks while delivering insights and recommendations to support strategic sales and partner decisions.

Own cross-functional Azure programs that improve customer demand understanding, capacity decisions, and computing resource delivery. Analyze customer and operational data, define requirements, recommend tradeoffs, and drive programs from problem definition through implementation. Design scalable processes, automation, reporting, governance, and decision frameworks that reduce manual work, improve visibility, and create more consistent customer and operational outcomes.

Owns Microsoft’s next-generation regional Ethernet networking program for AI infrastructure, from requirements and topology design through interoperability testing, workload validation, operational readiness, staged deployment, and production rollout. The role coordinates engineering, operations, architects, vendors, and partners while managing performance, resiliency, capacity, cost, compatibility, telemetry, failure recovery, and deployment risks.

Leads the global CCaaS Accelerate sales initiative, owning strategy, roadmap, governance, opportunity intake, funded engagement execution, partner coordination, pipeline performance, investment tracking, and executive reporting. The role orchestrates cross-functional stakeholders across sales, finance, technical teams, partners, and field organizations, while improving workflows, data quality, enablement, risk management, and revenue impact through scalable processes and Microsoft tools.

Leads construction acceleration initiatives across Microsoft's Americas datacenter portfolio. Develops strategies to optimize planning, procurement, design, construction, commissioning, and handoff, improving speed, cost, quality, safety, and operational readiness. Coordinates cross-functional teams and external partners, manages scope changes, analyzes performance metrics, drives risk mitigation, and scales successful delivery practices across campuses and regions.

Manage multiple high-visibility cybersecurity engagements, coordinate cross-functional resources, support incident response, communicate with stakeholders, document incidents, improve processes, triage feature requests, develop offerings, and provide operational and field-training support amid ambiguity and security crises.

Lead end-to-end operations for large-scale AI supercomputers, coordinating engineering, datacenter, business, and customer teams. Drive workload reliability, infrastructure availability, incident response, repair and recovery, maintenance, operational readiness, SLA performance, and risk mitigation. Translate customer needs and operational lessons into scalable improvements in observability, automation, tooling, and processes across the Azure supercomputing fleet.

Manage customer-facing knowledge content for a consumer portfolio. Coordinate authors, subject-matter experts, and publishing partners through content validation, updates, and retirement. Use AI tools to improve drafts while verifying accuracy, provenance, freshness, and safety. Measure content quality, discoverability, and usefulness; support self-help platform readiness; manage plans, deadlines, dependencies, and risks; and incorporate customer feedback to improve clarity, accessibility, and localization readiness.