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Group Product Manager, AI Security and Privacy Platforms

Google DeepMind · Mountain View, CA, USA · New York, NY, USA · San Francisco, CA, USA

Frontier labonsitesenior$240k–$333k
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At a glance

Highlights

  • Architect AI security and privacy platform portfolio for frontier models and agents.
  • Embed runtime oversight and hardware-verifiable privacy into core AI lifecycle.
  • Scale adversarial testing and confidential inference for enterprise clouds.

What they offer

  • 25% bonus target
  • equity
  • benefits

Ideal candidate

Seasoned platform product leader who thrives at the intersection of frontier AI, security and trust. You align executives and researchers around bold multi-quarter bets and care deeply about safe, privacy-preserving AI at global scale.

Requirements

  • Bachelor's degree in Computer Science, Engineering, related technical discipline or equivalent practical experience
  • 10 years of product management experience leading platform or infrastructure products
  • Experience across AI/agentic security, confidential computing, systems security, cyber security or privacy engineering
  • Experience deploying real-time safety guardrails and verifiable security and privacy controls across cloud and confidential environments
  • Exceptional executive communication and cross-functional stakeholder alignment skills
  • Proven ability to steer multi-quarter portfolios from research bets to enterprise and consumer-scale production
  • Deep technical fluency in agentic security paradigms including sandboxing, monitoring and red-teaming

Lab profile

About Google DeepMind

Google's AI lab building frontier models like Gemini to advance science and general intelligence.

What they build

  • Gemini
  • Gemma
  • AlphaFold

Known for

  • Frontier foundation models and GenAI
  • Large-scale training with JAX, PyTorch, TensorFlow
  • Model evaluation and deployment expertise
  • Responsible frontier AI research

Key facts

  • Founded in 2010
  • Headquartered in London, UK
  • Part of Google (Alphabet)
More about Google DeepMind →
Apply on the lab’s site ↗

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