Group Product Manager, Frontier Model Protection, DeepMind

• 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.

Minimum qualifications:

• 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 qualifications:

• 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.

• 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.).