Microsoft Senior Product Manager 

Taiwan, Taoyuan City 

241040243

for M365 Capacity Management, you will lead the strategy and execution for scaling Copilot’s CPU & GPU fleet. Your mission: deliver innovation at scale while reducing marginal COGS and accelerating time-to-value for new features, experiments, and model deployments.

Required Qualifications:

• Bachelor Degree AND 5+ years experience in product/service/program management or software development
  • OR equivalent experience.
• 2+ years experience with cloud infrastructure, AI/ML platforms, or large-scale distributed systems.
  
• 2+ years analytical and modeling skills; experience with forecasting, telemetry, and financial modeling.
  

Other Requirements:

Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings:

• Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

Preferred Qualifications:

• Familiarity with Azure, M365, GPU-based workloads, and AI model deployment.
• Experience with cross-functional leadership.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:

Microsoft will accept applications for the role until October 20, 2025.

• Design and operationalize a COGS-aware capacity demand & supply allocation framework for Copilot features, experimentation, and training workloads.
• Drive a multi-layered efficiency roadmap from hardware SKUs to workload orchestration and fleet operations, ensuring every GPU delivers maximum value.
• Own the end-to-end capacity signal lifecycle, including demand forecasting, supply planning, and alignment with finance and operations.
• Evolve the Copilot COGS model, identify top marginal cost drivers, and feed insights into the efficiency roadmap.
• Partner with the Infrastructure teams to enhance control plane capabilities for faster experimentation, model selection, benchmarking, and production deployment.
• Act as a unifying force across the Foundation Fleet & Capacity team, Copilot Infra, Azure AI ensuring shared goals, aligned execution, and transparent communication.