Senior Standards and Governance Manager, DeepMind
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MINIMUM QUALIFICATIONS:
- Bachelor's degree or equivalent practical experience.
- 10 years of experience in public policy, communications, or government affairs, with 3 years of experience focused on technical AI governance, frontier AI safety, or emerging technology policy.
- 2 years of experience translating technical concepts into policy briefings for external policymakers, or translating policy constraints for technical research teams.
PREFERRED QUALIFICATIONS:
- Experience designing, negotiating, or managing third-party testing protocols, incident disclosure frameworks, or auditing regimes.
- Experience with international standards bodies (e.g., ISO/IEC, INCITS, NIST) or industry coalitions (e.g., Frontier Model Forum), with 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).
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ABOUT THE JOB:
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: $228,000 - $248,000 (USD) + 20% bonus target
Learn more about benefits at Google [https://www.google.com/about/careers/applications/benefits/]
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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 discuss frameworks for cross-border incident disclosure.
- Act as the critical bridge between external regulatory developments and internal engineering, 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.
- Work with colleagues across policy and public affairs to orchestrate high-profile round tables and bilateral engagements that unite external policymakers, civil society, and technical experts with DeepMind's internal scientists to forge consensus on responsible AI adoption.
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