Technical Program Manager, Responsibility, DeepMind

Google LLC; United Kingdom; On-site; GBP 90,000 - 130,000; Full time

Job summary

Google's projects, like our users, span the globe and require managers to keep the big picture in focus while diving into the unique engineering challenges we face daily. As a Technical Program Manager at Google, you lead complex, multi-disciplinary engineering projects from requirements planning to delivery, coordinating schedules, risks, and stakeholder communications.

You will work with engineers and scientists to translate safety risks into actionable roadmaps, shape technical directions for

Qualifications

• 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.

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.

Skills

7 years of experience in technical PM/

Education

Bachelor’s degree in Computer Science, Engineering, Biology, Chemistry, Physics, a related technical/scientific field, or equivalent practical experience.

Job description

Minimum qualifications:

• 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 workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.