Technical Program Manager, Compute Management, DeepMind

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 logic to bring clarity to complex discussions without formal authority.
• - 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 logic to bring clarity to complex discussions without formal authority.

Minimum qualifications:

Preferred qualifications:

• Experience across computing infrastructure, distributed systems, or machine learning infrastructure, with a working understanding of how large-scale platforms are designed, operated, and scaled reliably.
• Excellent communication skills, ability to translate highly technical concepts for cross-functional stakeholders, paired with deep interest in foundational models, AI agents, and how large-scale infrastructure unlocks the next AI breakthroughs.
• Strong organizational skills to prioritize and drive multiple high-priority workstreams in an ambiguous, fast-paced environment, with minimal direction.
• Proficiency in Python, SQL, and Sheets for data analysis, reporting, lightweight automation, and internal tool configuration.

Qualifications

• Minimum qualifications: - Bachelor’s degree in Computer Science, Mathematics, Electrical Engineering, related technical field, or equivalent practical experience. - 2 years of experience in program management. Preferred qualifications: - Experience across computing infrastructure, distributed systems, or machine learning infrastructure, with a working understanding of how large-scale platforms are designed, operated, and scaled reliably. - Excellent communication skills, ability to translate highly technical concepts for cross-functional stakeholders, paired with deep interest in foundational models, AI agents, and how large-scale infrastructure unlocks the next AI breakthroughs. - Strong organizational skills to prioritize and drive multiple high-priority workstreams in an ambiguous, fast-paced environment, with minimal direction. - Proficiency in Python, SQL, and Sheets for data analysis, reporting, lightweight automation, and internal tool configuration.