Jobs and Careers

Technical Program Manager - Copilot, Microsoft AI

Mountain View, United Statesfull_timeVerifiedPosted 17 Sept 2025

💰 $258,000/yr($119,800/yr – $258,000/yr)

About the role

CLICK TO APPLYOverviewAs Microsoft continues to push the boundaries of AI, we are on a mission to build systems with true artificial intelligence across agents, applications, services, and infrastructure. Our vision is bold and inclusive: to make AI accessible to all, so that everyone can realize its benefits. The Copilot Product Infrastructure team is at the heart of this transformation. We build and scale the cloud infrastructure that powers Copilot, Microsoft’s most ambitious AI-native product experience. From traffic engineering and scalable compute to experimentation platforms and release systems, we design the infrastructure that enables thousands of engineers to ship AI-powered features with speed, safety, and precision. We’re tackling some of the most complex challenges in cloud infrastructure at scale, and we’re doing it with an AI-native approach from the ground up. Our systems are purpose-built to support frontier model integration, rapid experimentation, and global deployment across Microsoft’s consumer products. We collaborate closely with engineering, product management, and AI research teams to empower every Copilot team to bring cutting-edge AI research to production. Our work directly shapes how AI reaches millions of users, and we’re growing fast. We’re looking for highly motivated and detail-oriented Technical Program Managers who are passionate about AI and deeply proficient in scaling backend technologies. In particular, we’re looking for individuals who:

Have deep experience with cloud infrastructure, including Kubernetes, CI/CD, traffic routing, and experimentation platforms.
Thrive in environments where they partner closely with engineers, SREs, and product teams to deliver scalable, reliable systems.
Take initiative and enjoy navigating ambiguity in a fast-paced, high-growth environment.
Are comfortable owning programs that span offices, teams, and time zones, coordinating across workstreams and relentlessly unblocking progress.
Demonstrate a proactive attitude and enthusiasm for improving developer velocity, system resilience, and operational clarity.
Are excited to build infrastructure that’s designed from day one to support AI-native development, with the scale, agility, and reliability that frontier models demand.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. By applying to this role based in U.S. Mountain View, CA. You are required to be local to the San Francisco area and be in office 4 days a week. Starting January 26, 2026, MAI employees are expected to work from a designated Microsoft office at least four days a week if they live within 50 miles (U.S.) or 25 miles (non-U.S., country-specific) of that location. This expectation is subject to local law and may vary by jurisdiction. Responsibilities

Drive end-to-end execution of infrastructure programs that power Copilot, including planning, scoping, milestone tracking, and cross-team coordination.
Partner closely with engineers, SREs, product managers, and AI researchers to deliver scalable, reliable systems for traffic routing, compute orchestration, experimentation, security and release.
Own program status across multiple workstreams, proactively identifying risks, unblocking progress, and ensuring timely delivery.
Translate complex technical initiatives into clear execution plans, aligning stakeholders across time zones and functions.
Communicate program strategies, trade-offs, and results to executive leadership and partner teams, advocating for infrastructure priorities and long-term platform health.
Champion an AI-native approach to infrastructure, ensuring systems are designed from the ground up to support frontier model integration and rapid experimentation.

Qualifications Required/minimum qualifications