Technical Program Manager III, Data Center Machine Learning Operations, Supply Chain

Who you are

You have a Bachelor's degree in a technical field or equivalent practical experience, along with at least 5 years of experience in program management. Your background includes managing machine learning infrastructure deployments and data center planning, demonstrating your ability to enforce constraints and manage supply chain operations effectively. You have experience managing cross-functional projects, showcasing your ability to work collaboratively across teams.

Your technical expertise extends to network hardware and data center infrastructure, including knowledge of liquid cooling and mechanical/electrical supporting systems. You are familiar with the physical planning and deployment of machine rack hardware, ensuring that all operations align with supply chain requirements. Your understanding of mechanical and electrical systems allows you to support the overall supply chain effectively.

Desirable

You have a proven track record of managing complex projects that require coordination across multiple teams. Your experience with operations and infrastructure management positions you as a key player in ensuring that deployments are feasible and efficient. You thrive in environments where you can leverage your technical knowledge to drive project success and improve operational efficiency.

What you'll do

As a Technical Program Manager at Google, you will coordinate throughout the capacity planning and server floor deployment domains, ensuring feasibility and managing inter-project dependencies. Your role will involve planning server floor deployments for Global Google Capacity Deployments, with a specific focus on machine learning and AI deployments. You will track and manage dependencies to enable successful rack deployment, ensuring that all space, power, cooling, and networking constraints are met.

You will oversee the order management and design processes, creating tooling that allows for feasibility reviews and infrastructure dependency tracking. Your responsibilities will include managing the physical placement of machine racks, coordinating construction efforts, and ensuring that network deployments align with project goals. You will play a critical role in the deployment of machine learning infrastructure, contributing to the overall success of Google's operations.

What we offer

Google offers a competitive salary range for this full-time position, with a base salary between $156,000 and $229,000, along with bonuses, equity, and benefits. Our salary ranges are determined by role, level, and location, ensuring that individual pay reflects your skills and experience. We encourage you to apply even if your experience doesn't match every requirement, as we value diverse backgrounds and perspectives in our team.

Join us at Google, where you will have the opportunity to work on cutting-edge technology and contribute to the future of machine learning operations. We foster a collaborative environment that supports professional growth and innovation, allowing you to make a significant impact in your role.