Technical Program Manager, Compute Planning, DeepMind

Overview In this TPM role, you will own the end-to-end planning and management of DeepMind’s ML hardware compute portfolio. You will collaborate with product, engineering, and research teams to optimize CPU, RAM, and TPU workloads at scale and deliver measurable ROI. You will diagnose infrastructure bottlenecks, expand self-serve documentation, and drive AI tooling adoption. You will translate complex compute data for executive decisions and help balance costs with research velocity. Compensation / Benefitsbonus targetequitybenefits ResponsibilitiesLead planning, tracking, and management of the compute fleet at scaleOwn end-to-end programs optimizing CPU, RAM, and TPU workloads for ROIPartner with leadership to balance costs, utilization, and research velocityBridge Finance, Engineering, and Research teams; translate data for executivesDebug infrastructure bottlenecks; scale self-serve docs; drive AI adoption (Gemini Enterprise, internal APIs) Key requirements5 years of experience in technical program management in an infrastructure or AI environmentBachelor's degree in Computer Science, Engineering, or related technical fieldExperience in Python and SQL to query data or script automationsAbility to communicate complex technical concepts clearly to diverse teamsStrong relationship-building and cross-functional collaboration skillsInitiative to implement repeatable, scalable, sustainable solutionscross-functional collaborationeffective communicationproblem-solving initiativePythonSQLinfrastructure/compute planning