Senior Technical Program Manager - Copilot

$117,200 - $229,200/Yr

Microsoft - Mountain View, CA

Full-time - Mid Level

Onsite - Mountain View, CA

Publishing Industries

About the position

The Senior Technical Program Manager for Copilot will play a crucial role in managing the end-to-end development and deployment of infrastructure supporting AI model training and inferencing. This position requires a blend of technical expertise and effective people management skills, focusing on delivering high-performance AI solutions in a fast-paced environment. The role involves collaboration with engineers, researchers, and stakeholders to ensure project success and alignment with infrastructure needs.

Responsibilities

• Lead the planning, execution, and delivery of infrastructure projects that support AI model training and inferencing for Copilot.
• Define project scope, goals, and deliverables that support infrastructure objectives, ensuring alignment with cross-functional teams.
• Oversee the development of scalable and efficient compute environments, optimizing infrastructure for high-performance AI workloads.
• Oversee the creation and enhancement of tools that support researchers in efficiently running, monitoring, and evaluating model training experiments.
• Manage and allocate compute resources such as GPU, TPU, and other AI accelerators to meet project requirements.

Requirements

• Bachelor's Degree AND 4+ years of experience in engineering, product/technical program management, data analysis, or product development OR equivalent experience.
• 2+ years of experience managing cross-functional and/or cross-team projects.
• 2+ years of experience in end-to-end infrastructure projects, from planning to execution and delivery, in a fast-paced environment.
• Demonstrated ability to work with engineering, research, and operations teams to align on infrastructure needs, timelines, and project requirements.
• Ability to proactively identify risks, create mitigation strategies, and handle project roadblocks to ensure timely project delivery.
• Deep understanding of cloud infrastructure, data centers, networking, and storage systems relevant to compute-intensive AI applications.

Nice-to-haves

• Bachelor's Degree AND 8+ years of experience in engineering, product/technical program management, data analysis, or product development OR equivalent experience.
• Knowledge of GPU, TPU, CPU, and other accelerators commonly used in AI model training.
• Familiarity with scripting languages (e.g., Python, Bash) for automating infrastructure processes.
• Understanding of ML Ops practices to support continuous model training and deployment.
• Proven ability to collaborate and contribute to a positive, inclusive work environment, fostering knowledge sharing and growth within the team.

Benefits

• Industry leading healthcare
• Educational resources
• Discount on products and services
• Savings and investment options
• Maternity and paternity leave
• Generous time away
• Giving program
• Opportunities to network and connect