Group PM: Frontier Model Protection & AI Security

Google LLC; Mountain View, New York (CA, NY); On-site; USD 300,000 - 333,000; Full time

Job summary

Google DeepMind is seeking a Product Manager to lead Frontier Model Protection, shaping the strategy and governance needed to defend foundation models against model extraction and distillation threats. You will coordinate cross-functional teams and translate research breakthroughs into scalable, production-ready defenses.

The role emphasizes governance, metrics, and collaboration with government stakeholders and peer labs to set safety benchmarks and drive responsible AI innovation at scale.

Qualifications

• Bachelor's degree or equivalent practical experience.
• 10 years of product management or related technical experience.
• 5 years of experience taking technical products from conception to launch.

Responsibilities

• 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.

Skills

Product management experience

End-to-end product development

Education

Bachelor's degree or equivalent

Job description

Google DeepMind is seeking a Product Manager to lead Frontier Model Protection, shaping the strategy and governance needed to defend foundation models against model extraction and distillation threats. You will coordinate cross-functional teams and translate research breakthroughs into scalable, production-ready defenses.

The role emphasizes governance, metrics, and collaboration with government stakeholders and peer labs to set safety benchmarks and drive responsible AI innovation at scale.