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Group Product Manager, Frontier Model Protection

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

CHECKED 6M AGO

Frontier labonsiteSenior$300k–$333k
Apply on the lab’s site ↗

At a glance

Highlights

  • Own multi-year roadmap for frontier model protection defenses.
  • Balance IP defense with utility, developer experience and growth.
  • Shape safety benchmarks with governments and peer AI labs.

What they offer

  • 25% bonus target
  • equity
  • benefits

Ideal candidate

A strategic product leader who thrives at the intersection of research and business and cares deeply about safeguarding frontier AI while enabling innovation.

Requirements

  • Bachelor's degree or equivalent practical experience
  • 10 years of experience in product management or a related technical role
  • 5 years of experience taking technical products from conception to launch
  • Master's degree, MBA, or PhD in Computer Science, Machine Learning, Cybersecurity, Business, or a related field
  • Direct domain experience in AI security, model defense, anti-distillation techniques, adversarial ML, and model extraction threat modeling
  • Familiarity with emerging AI governance frameworks, LLM security standards (e.g., OWASP Top 10), and external safety coalitions
  • Proven track record of collaborating directly with PhD-level researchers to transition novel algorithmic discoveries into low-latency, production-hardened systems

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 ↗