Senior Standards and Governance Manager, Deepmind

Google Google · Big Tech · London, United Kingdom +2

This role focuses on establishing technical benchmarks, best practices, and governance protocols for advanced AI systems, bridging external regulatory developments with internal engineering teams. It involves shaping external oversight policies, defining auditor criteria, and orchestrating engagements with policymakers and technical experts to promote responsible AI adoption.

What you'd actually do

  1. 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.
  2. Establish and oversee steady-state protocols for unclassified and classified government model evaluations and discuss frameworks for cross-border incident disclosure.
  3. Act as the critical bridge between external regulatory developments and internal engineering, translating emerging standards into launch and compliance practices.
  4. Shape external oversight policies for advanced systems, defining auditor criteria, access protocols and positions on regulatory regimes.
  5. 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.

Skills

Required

  • public policy
  • communications
  • government affairs
  • technical AI governance
  • frontier AI safety
  • emerging technology policy
  • translating technical concepts into policy briefings
  • translating policy constraints for technical research teams

Nice to have

  • designing, negotiating, or managing third-party testing protocols
  • incident disclosure frameworks
  • auditing regimes
  • international standards bodies (e.g., ISO/IEC, INCITS, NIST)
  • industry coalitions (e.g., Frontier Model Forum)
  • drafting, negotiating, or influencing technical and governance standards
  • high-trust network of global AI safety contacts
  • senior government officials
  • think tanks
  • technical policy experts

What the JD emphasized

  • technical benchmarks
  • best practices
  • advanced AI
  • model evaluations
  • incident disclosure
  • external regulatory developments
  • launch and compliance practices
  • external oversight policies
  • auditor criteria
  • access protocols
  • regulatory regimes
  • responsible AI adoption