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As a Principal Product Manager on the M365 Core Copilot Infrastructure team, you will define and drive platform capabilities that enable Copilot Infrastructure scale and agility along with areas supporting model fine-tuning, training, benchmarking, and orchestration for both tenant-specific and BizChat scenarios. You’ll partner with engineering, data science, and scenario teams to deliver scalable, reliable, and compliant AI infrastructure powering Microsoft 365 Copilot and BizChat on a global scale.
Job Responsibility:
Define product vision, strategy, and roadmap for platform features supporting model onboarding, fine-tuning, benchmarking and inferencing orchestration
Partner with engineering and cross-functional teams to deliver solutions for secure, compliant, and performant model deployment and management
Lead requirements gathering, customer/partner engagement, and backlog prioritization for Copilot platform capabilities
Drive BizChat infrastructure improvements for low-latency, high-scale serving, and robust evaluation/telemetry
Measure and communicate impact through KPIs such as deployment agility, model quality, and platform health
Embody our culture and values
Requirements:
Bachelor's Degree AND 8+ years experience in product/service/program management or software development
OR equivalent experience
Ability to meet Microsoft, customer and/or government security screening requirements
Microsoft Cloud Background Check upon hire/transfer and every two years thereafter
Master's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
OR Bachelor's Degree in Computer Science or related technical field AND 12+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
OR equivalent experience
5+ years of experience with AI/ML platforms, cloud infrastructure, or large-scale distributed systems
Experience defining and delivering technical product roadmaps in partnership with engineering and data science
Experience with model training, inferencing, or orchestration platforms