Governance Manager, Frontier AI Safety and Policy, DeepMind

Artificial intelligence will be one of humanity’s most transformative inventions. At Google 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.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $188000 - $205000 (USD) + 15% bonus target

Learn more about benefits at Google.

Responsibilities

• Engage with international standards bodies (e.g., ISO, INCITS) and industry coalitions like Frontier Model Forum (FMF) to establish technical benchmarks and best practices for advanced AI.
• Establish and oversee steady-state protocols for unclassified and classified government model evaluations and negotiate frameworks for cross-border incident disclosure.
• Act as a critical bridge between external regulatory developments and internal safety and security teams, translating emerging standards into launch and compliance practices.
• Shape external oversight policies for advanced systems, defining auditor criteria, access protocols, and positions on regulatory regimes.

Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
• 7 years of experience in public policy, national security or within AI industry.
• 3 years of experience focused on frontier AI safety and governance.

Preferred qualifications:

• Experience at the intersection of AI safety best practices and internal risk management.
• Experience designing, negotiating, or managing third-party testing protocols, incident disclosure frameworks, or auditing regimes.
• A track record of drafting, negotiating, or influencing technical and governance standards.
• An established, high-trust network of global AI safety contacts, including senior government officials, think tanks and technical policy experts in key markets (US, UK, EU).