Google DeepMind · 1 day ago
Technical Program Management, Deployment
Mountain View, CA
Full-time
Hybrid
Senior Level
$156K/yr - $229K/yr
5+ years expGoogle DeepMind is a team of scientists and engineers focused on advancing artificial intelligence for public benefit. They are seeking a Technical Program Manager to orchestrate the delivery of model serving and deployment, ensuring that models are ready for production by managing complex stakeholder relationships across various teams.
Artificial Intelligence (AI)Business DevelopmentFoundational AIMachine Learning
Responsibilities
Be the US timezone presence for Deployment and partner with a senior TPM in the EMEA timezone to ensure US and Europe coverage
Drive the end-to-end delivery of the model serving and deployment program, working closely with engineers and researchers to architect and roadmap deployment plans from research to scaling out for production
Dive deep into technical details, understanding the nuance of production inference and the trade offs between cost and performance optimisation
Drive organizational efficiency by improving processes, streamlining execution, and implementing tooling improvements where applicable
Proactively identify and drill down into blockers, moving quickly to unblock the research and engineering teams
Coordinate across diverse groups within Gemini, including Research teams, Compute, and Go to Market and ensuring all stakeholders are aligned on plans and timelines
Build consensus and influence outcomes across diverse teams and key stakeholders, ensuring strong alignment without relying on direct authority
Qualification
Required
5+ years of leading large-scale complex programs, preferably across multiple geographies and time zones
Possess excellent communication skills to articulate complex technical concepts clearly to diverse audiences, including executive leadership
Demonstrated success in fast-paced program execution and deliveries
Must be fluent in English and flexible to work cross-timezone
Preferred
Degree in Computer Science, Engineering or equivalent professional experience
Strong understanding of ML/AI principles and the distinctions from traditional software development
Understanding of LLM inference mechanics (KV Cache management, attention mechanisms, sampling strategies)
Benefits
Bonus
Equity
Benefits
Company
Google DeepMind
Google DeepMind aims to research and build safe artificial intelligence system to solve intelligence and advance science and humanity. It is a sub-organization of Google.
501-1000 employees
Funding
Current Stage
Late StageTotal Funding
unknown2014-01-26Acquired
2011-02-01Series A
Leadership Team
Demis Hassabis
Co-Founder & CEO
Aaron Saunders
VP of Hardware Engineering, Robotics
Recent News
2026-01-22
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