Top Program and Project Management Jobs in San Francisco, CA

Develop forecasting, scorecards, dashboards, and decision-support insights for AI and non-AI capacity. Analyze demand, supply, customer, and operational signals to identify constraints, quantify risks, and inform allocation and mitigation decisions. Partner with Engineering, Finance, Data Science, Operations, and tooling teams to improve data quality, standardize metrics, automate reporting, and operationalize forecasting. Deliver executive-ready narratives and recommendations while documenting methods, assumptions, and best practices.

Drive execution and adoption of Value Acceleration Services for the AI Business Solutions portfolio. Translate strategy into scalable programs, enable field and sellers, align cross-functional stakeholders, design adoption initiatives, track performance with data-driven insights, and continuously optimize the portfolio to accelerate customer value and growth.

Lead end-to-end technical program management for partner experience platforms: define scope and roadmap, align cross-functional teams, influence architecture and delivery, measure outcomes via telemetry, manage vendors and risks, ensure compliance (privacy, accessibility, security), and drive portfolio prioritization and AI-enabled insights to improve partner experiences and business outcomes.

Lead a cross-discipline engineering team delivering production-ready AI-enabled solutions. Own portfolio delivery, coach engineers and TPMs, model engineering excellence, drive operational rhythms, and apply responsible AI practices to accelerate outcomes.

Leads large-scale technical programs transforming Microsoft datacenter delivery. Drives cross-functional planning, execution, reporting, process improvements, and decision-making across engineering, construction, networking, finance, and operations teams. Uses technical expertise in datacenter systems and analytics to deliver projects on schedule, within budget, and with high quality. Manages ambiguity, executive stakeholders, risks, schedules, budgets, and organizational efficiencies across hyperscale cloud infrastructure initiatives.

Lead the technical skilling strategy for Microsoft Security Solutions Specialists by defining frameworks, identifying capability gaps, using data-driven insights, partnering with product and sales, and driving AI-enabled learning to improve seller effectiveness, pipeline quality, and business outcomes globally.

Lead end-to-end management of Azure PaaS capacity requests and high-priority escalations. Drive intake, triage, prioritization, budgeting, tooling, automation, reporting, and cross-functional governance to ensure customers can deploy and scale PaaS services. Build playbooks, dashboards, and executive communications while partnering with engineering, capacity planning, datacenter operations, and field teams to mitigate risks and improve operational processes.

Leads end-to-end delivery of large-scale Microsoft datacenter programs from design approval through construction, fit-out, commissioning, and operational handoff. Oversees schedules, risks, dependencies, stakeholder alignment, capital execution, automation, performance metrics, and cross-functional delivery across infrastructure, engineering, procurement, construction, networking, and building systems. Develops program management talent, operating models, and execution practices while guiding complex infrastructure initiatives at executive level.

Lead design and implementation of Business Continuity/Disaster Recovery solutions for the support ecosystem. Define BCDR scenarios and requirements, create playbooks, run outage drills, coordinate cross-functional stakeholders, partner with engineering on roadmaps, manage schedules and risks, define success metrics, and drive adoption and continuous improvement.

Drive cross-organization technical programs for Azure Specialized Compute, support key customers and partners, manage complex projects end-to-end, mentor junior team members, and partner with Product Management to scale HPC and GPU-accelerated cloud offerings.