Technical Program Manager, Compute Management, DeepMind (Mountain View, CA) – On-site

Overview DeepMind's GenAI compute team is seeking a Technical Program Manager to coordinate Gemini training resources and AI serving workflows. You will lead cross-functional projects across computing infrastructure, distributed systems, and machine learning infrastructure, helping to define requirements with internal customers and shepherding projects through the full lifecycle. You will coordinate AI serving requests, resolve bottlenecks, and help automate workflows, while supporting governance of Gemini training resources (CPU/RAM/Disk/Accelerators). Occasional schedule flexibility may be required to support global model releases.

Responsibilities - Debug infrastructure issues, adjust configurations, and advise teams on compute governance. - Vet requests, coordinate launches, and guide teams through milestones. - Identify workflow bottlenecks, develop internal tooling (dashboards, scripts), and write scalable documentation. - Use data and logical analysis to bring clarity to complex discussions with cross-functional stakeholders, without formal authority.

Qualifications Minimum - Bachelor’s degree in Computer Science, Mathematics, Electrical Engineering, or related field, or equivalent practical experience. - 2 years of program management experience.

Preferred - Experience across computing infrastructure, distributed systems, or ML infrastructure, with an understanding of how large-scale platforms are designed, operated, and scaled reliably. - Excellent communication skills, ability

Technical Program Manager, Compute Management, DeepMind (Mountain View, CA) – On-site

Overview DeepMind's GenAI compute team is seeking a Technical Program Manager to coordinate Gemini training resources and AI serving workflows. You will lead cross-functional projects across computing infrastructure, distributed systems, and machine learning infrastructure, helping to define requirements with internal customers and shepherding projects through the full lifecycle. You will coordinate AI serving requests, resolve bottlenecks, and help automate workflows, while supporting governance of Gemini training resources (CPU/RAM/Disk/Accelerators). Occasional schedule flexibility may be required to support global model releases.

Responsibilities - Debug infrastructure issues, adjust configurations, and advise teams on compute governance. - Vet requests, coordinate launches, and guide teams through milestones. - Identify workflow bottlenecks, develop internal tooling (dashboards, scripts), and write scalable documentation. - Use data and logical analysis to bring clarity to complex discussions with cross-functional stakeholders, without formal authority.

Qualifications Minimum - Bachelor’s degree in Computer Science, Mathematics, Electrical Engineering, or related field, or equivalent practical experience. - 2 years of program management experience.

Preferred - Experience across computing infrastructure, distributed systems, or ML infrastructure, with an understanding of how large-scale platforms are designed, operated, and scaled reliably. - Excellent communication skills, ability