Technical Program Manager, Compute Planning, DeepMind
Google DeepMind - Mountain View, CA
Hiring: Technical Program Manager, Compute Planning, DeepMind Company: Google DeepMind Location: Mountain View, CA Job Posted Time: 2026-09-16 11:02:07 Target Skills & Keywords : AI, GCP, Program Management, Python, SQL About the job Experience: •5 years of experience in technical program management in an infrastructure or AI environment. Required Skills: •Learn more about benefits at Google . •Lead planning, tracking, and management of the compute fleet at scale. •Own end-to-end programs optimizing CPU, RAM, and TPU workloads to deliver clear organizational Return on Investment (ROI). •Partner with leadership to balance costs, utilization, and research velocity for key priorities. •Bridge Finance, Engineering, and Research teams, translating complex compute data into executive decision-making. •Debug infrastructure bottlenecks, scale self-serve documentation, and drive internal AI adoption (Gemini Enterprise, internal APIs) for tooling. Qualifications: •Bachelor's degree in Computer Science, Engineering, a related technical field, or equivalent practical experience. •Knowledge of data center infrastructure and operations. •Demonstrated capacity to communicate complex technical concepts clearly to various sets of teams. •Strong relationship-building and cross-functional collaboration skills. •Initiative to solve problems with solutions that are repeatable, scalable and sustainable. •As a Technical Program Manager (TPM) in the Compute Planning team, you will play a key role in the end-to-end planning and ongoing management of DeepMind’s extensive ML Hardware portfolio. •Be joining a high-impact team of TPMs to work alongside our Product Managers, Engineers and Researchers to help define and optimize DeepMind's overall capabilities in the compute space. •We are pushing the boundaries across multiple domains. Our global teams offer learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort. •Individual pay is determined by factors including job-related skills, experience, and relevant education or training. •US: $217000 - $236000 (USD) + 15% bonus target + equity + benefits Compensation: •US: $217000 - $236000 (USD) + 15% bonus target + equity + benefits Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!