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
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)
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