Product Manager, CBRNE AI Safety & Data Security

Google LLC

New York (NY)

On-site

USD 192,000 - 278,000

Full time

7 days ago
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Job summary

Google DeepMind in New York, NY is seeking a Product Manager for the CBRNE team to bridge frontier AI, domain science, and safety efforts. You will partner with SMEs, engineers, PMs, and stakeholders to shape the product goal, strategy, and execution roadmap for tools and infrastructure that safeguard models against high‑stakes risks.

You will drive end-to-end data security initiatives, support red‑teaming pipelines, and manage cross-product partnerships, reporting to the Head of CBRNE and

Qualifications

  • Bachelor's degree or equivalent practical experience.
  • 8 years of experience in product management or related technical strategy roles, including taking technical products, platforms, or safety frameworks from conception to launch.
  • Experience working with large language models (LLMs), generative AI agents, and related safety evaluation or mitigation systems.

Responsibilities

  • Define key goals and priorities within the effort across different workstreams, in partnership with subject matter experts, engineering, and program management.
  • Curate and be responsible for effort-wide success metrics, while proactively identifying high-value new impact opportunities for the effort.
  • Deliver specific projects within the portfolio, including advancing the effort’s data security strategy.
  • Develop relationships with key partner stakeholders within Alphabet, including executives, in order to enable collaboration across product areas.
  • Gather feedback for the effort and partner with our teams to action and improve our work in this domain.

Skills

Product management experience
AI safety collaboration
Stakeholder management

Education

Bachelor's degree or equivalent

Job description

Google DeepMind in New York, NY is seeking a Product Manager for the CBRNE team to bridge frontier AI, domain science, and safety efforts. You will partner with SMEs, engineers, PMs, and stakeholders to shape the product goal, strategy, and execution roadmap for tools and infrastructure that safeguard models against high‑stakes risks.

You will drive end-to-end data security initiatives, support red‑teaming pipelines, and manage cross-product partnerships, reporting to the Head of CBRNE and

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