Technical Program Manager, Responsibility, DeepMind
- linkCopy link
- emailEmail a friend
Minimum qualifications:
- Bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.
- 5 years of experience in technical program management, software engineering, or research engineering.
- 3 years of experience partnering with research or engineering leads to deliver AI/ML programs, evaluation suites, or safety frameworks.
Preferred qualifications:
- Experience in frontier AI safety, red-teaming methodologies, threat modeling, or dangerous capability evaluations for large language models (LLMs) and autonomous agents.
- Knowledge or active interest of AI Ethics, AI Safety, Public Policy etc.
- An understanding of model evaluation methodologies for determining the frontier risks of modern AI models; see Google's FSF and similar documents at other AI labs.
- Strong analytical and problem-solving skills with a demonstrated ability to optimize complex technical infrastructure, compute scheduling, and data-protection protocols for sensitive dataset.
About the job
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.
US: $163000 - $236000 (USD) + 15% bonus target + equity + benefits
Learn more about benefits at Google.
Responsibilities
- Partner with research/engineering leads and SMEs to translate safety risks into measurable technical goals, driving strategic planning and compute resource allocation.
- Build and guide effective cross-functional partnerships across modeling, infrastructure, evaluation, governance, and public policy teams to resolve blockers and shape regulatory requirements.
- Implement robust program management frameworks (OKRs, stand-ups, retrospectives, dashboards, decision logs) to track progress, preempt risks, and optimise workflows while fostering a collaborative, interdisciplinary team culture.
- Distill complex technical updates into clear, actionable insights for executive leadership and external partners.Manage program budgets, forecasting spend, purchase order reconciliation, and strategic resource allocation.
- Collaborate with leadership on cross-industry ‘horizon scanning’ to identify and maintain visibility of current and future external and internal testing requirements from regulators, government bodies, and wider industry standards to inform program strategy.
Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google's Applicant and Candidate Privacy Policy.
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.
If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
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.
To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.
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.