Group Product Manager, Frontier Model Protection, DeepMind

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Software Development

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• 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.
• Define the multi-year product goal and strategic roadmap for frontier model
• protection and anti-distillation defenses across Google DeepMind.
• Establish policies and runtime guardrails to balance rigorous IP defense
• against developer friction, model utility, and commercial growth objectives.
• Develop quantitative evaluation frameworks and telemetry to measure defense
• efficacy and continuously validate complex trade-off decisions.
• Partner with researchers and engineers to translate breakthroughs in
• watermarking and query analysis into globally scalable, production-grade
• defenses.
• Secure executive alignment and lead technical engagement with peer labs and
• AI Safety Institutes to establish shared evaluation benchmarks.

Required

• Bachelor's degreeor 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
• (e.g., ideation to execution, end-to-end, 0 to 1, etc.).

Preferred

• 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.

• Bonus
• Equity
• Health Insurance