Technical Program Manager, Responsibility, DeepMind

Google LLC; Greater London; On-site; GBP 95,000 - 130,000; Full time

Job summary

DeepMind in London is seeking a Technical Program Manager focused on responsibility and AI safety across multi-disciplinary engineering teams. You will plan requirements with internal customers and shepherd projects through full lifecycles, communicating risks to stakeholders and executives.

You will work with engineers, SMEs, and PMs to translate safety requirements into measurable goals, guiding strategic planning and resource allocation while driving collaboration and process improvements.

Qualifications

• Bachelor’s degree in a technical/scientific field or equivalent experience.
• 7 years of experience in technical program management, software engineering, or research engineering.
• 3 years partnering with research or engineering leads to deliver AI/ML programs.

Responsibilities

• Lead end-to-end engineering delivery of AI safety/CBRNE evaluation pipelines and red-teaming across the model lifecycle.
• Translate safety risks into clear engineering goals and allocate compute and resources.
• Build cross-functional partnerships across modeling, infra, evaluation, and release teams.
• Implement OKRs, stand-ups, and agile practices to track progress and mitigate risks.
• Distill complex updates into actionable insights for executives.

Skills

Technical program management

Cross-functional collaboration

Education

Bachelor’s degree in Computer Science, Engineering, Biology, Chemistry, Physics, or related field

Master’s degree or PhD preferred in CS/ML/Biosecurity/related science

Job description

Technical Program Manager, Responsibility, DeepMind

Share Technical Program Manager, Responsibility, DeepMind

DeepMind London, UK

• Bachelor’s degree in Computer Science, Engineering, Biology, Chemistry, Physics, a related technical/scientific field, or equivalent practical experience.
• 7 years of experience in technical program management, software engineering, or research engineering.
• 3 years of experience partnering with research or engineering leads to delivering AI/ML programs, evaluation suites, or safety frameworks.

Preferred qualifications:

• Master’s degree or PhD in Computer Science, Machine Learning, Biosecurity, Chemistry, or related scientific discipline.
• Experience in frontier AI safety, red‑teaming methodologies, threat modeling, or dangerous capability evaluations for large language models (LLMs) and autonomous agents.
• Experience in a frontier AI lab, national laboratory, government defense, or biosecurity research institution.

About the job

Google's projects, like our users, span the globe and require managers to keep the big picture in focus while being able to dive into the unique engineering challenges we face daily. As a Technical Program Manager at Google, you lead complex, multi-disciplinary engineering projects using your engineering expertise. You plan requirements with internal customers and usher projects through the entire project lifecycle. This includes managing project schedules, identifying risks and clearly communicating them to project stakeholders. You're equally at home explaining your team's analyses and recommendations to executives as you are discussing the technical trade-offs in product development with engineers.

Using your extensive technical and leadership expertise, you manage projects of various size and scope, identifying future opportunities, improving processes and driving the technical directions of your programs.

Artificial intelligence will be one of humanity's most transformative inventions. At DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority.

We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort.

Responsibilities

• Lead E2E engineering delivery of CBRNE evaluation pipelines, mitigations, and red‑teaming across the model lifecycle; partner with the Portfolio Lead and Program Manager (PM) to ensure critical priorities are addressed while translating ambiguous scientific milestones into technical roadmaps and project plans.
• Partner closely with engineers, scientific (SMEs), and the PM to translate complex safety risks and requirements into clear, measurable engineering goals, while driving strategic planning and compute allocation.
• Build and guide effective cross‑functional partnerships across disciplines, including modeling, infrastructure, evaluation, and release teams, to ensure alignment on objectives and resolve blockers, serving as the operational bridge.
• Implement frameworks include OKRs, stand‑ups, and agile methodologies to track progress, pre‑empt risks, and optimise workflows while fostering a collaborative, interdisciplinary team culture.
• Distill complex technical updates into clear, actionable insights for audiences and executive leadership.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.