Technical Program Manager, Technical Compliance, DeepMind
Deepmind
Apply to this jobAbout 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.
The DM Technical Compliance Team is a dedicated, centralized function that bridges operational execution and independent oversight. Our mission is to ensure Google DeepMind builds AI responsibly by implementing robust controls and overseeing a technical compliance function focused on regulatory compliance and data governance.
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: $256000 - $279000 (USD) + 20% bonus target + equity + benefits
Learn more about benefits at Google.
Responsibilities
- Drive large-scale, high-priority, cross-functional technical compliance programs, ensuring organizational readiness for critical global regulations.
- Collaborate with AI engineering, legal, risk, and regulatory leadership to align interpretations, manage risks, and translate requirements into actionable roadmaps.
- Leverage a deep understanding of DeepMind's models, products, and systems to effectively execute technical compliance initiatives.
- Act as a strategic bridge to decode complex legal and regulatory concepts for engineering teams, while explaining engineering realities to legal stakeholders.
- Partner with the DM Compliance Lead and engineering to design the scalable infrastructure and unified monitoring tools needed to automate and optimize compliance efficiency.
Qualifications
Minimum qualifications:
- Bachelor's degree in a technical field, or equivalent practical experience.
- 8 years of experience in program management.
Preferred qualifications:
- Deep understanding of how AI models are built, including evaluating datasets and open-source licenses for compliance criteria.
- Demonstrated ability to meticulously record compliance data and maintain audit-ready logs.
- Ability to navigate through ambiguity, adapt program strategies as priorities change, and maintain momentum.
- Strong stakeholder management skills, with the assertiveness and confidence to stand your ground and influence senior leaders across legal, policy, compliance, and engineering organizations.
Additional Information
Applicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act.Summary
Manage cross-functional programs ensuring AI regulatory compliance and build scalable infrastructure.
Job title
Technical Program Manager, Technical Compliance, DeepMind
Experience level
8+ years
Minimum experience
8+ years exp
Industry
technology
Location requirements
Hybrid role in Mountain View or San Francisco, CA, remote allowed
Salary
$256k–$279k
Management role
No
Required skills
Preferred skills
Specializations
Structured locations inferred from the posting.
Mountain View, CA, USA
San Francisco, CA, USA