Product Manager, CBRNE, DeepMind

Google•New York, NY

8h•$192,000 - $278,000

About The Position

As the Product Manager for the Chemical, Biological, Radiological, Nuclear and Conventional Explosives (CBRNE) team, you will work at the intersection of frontier artificial intelligence, domain science, and AI safety. You will partner with scientific subject-matter experts, engineers, program managers, and other stakeholders to develop the team’s approach to CBRNE topics. You will define the product goal, strategy, and execution roadmap for tools and infrastructure that safeguard Gemini and next-generation models against high-stakes risks, in close collaboration with the Head of CBRNE and the leadership team. The role includes driving initiatives such as end-to-end data security frameworks, supporting automation of advanced red-teaming and evaluation pipelines, and managing cross-product-area partnerships. Google DeepMind describes itself as a pioneering AI lab with interdisciplinary teams focused on advancing AI to address global challenges and support scientific discovery, with safety and ethics as priorities.

Requirements

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.

Nice To Haves

Experience within a frontier AI lab, national laboratory, government defense or intelligence organization, bio-security institute, or specialized scientific research institution.
Experience partnering with safety experts, policy teams, and enterprise stakeholders to translate technical safety capabilities into safety mitigations, benchmarks, and deployment playbooks.

Responsibilities

Define goals and priorities across workstreams in partnership with subject-matter experts, engineering, and program management.
Own effort-wide success metrics and identify high-value opportunities for impact.
Deliver portfolio projects, including advancing the effort’s data security strategy.
Develop relationships with key Alphabet partner stakeholders, including executives, to enable collaboration across product areas.
Gather feedback for the effort and work with teams to act on it and improve the work in this domain.
Define the product goal, strategy, and execution roadmap for tools and infrastructure to safeguard Gemini and next-generation models against high-stakes risks.
Drive initiatives such as end-to-end data security frameworks and support automation of advanced red-teaming and evaluation pipelines.
Manage cross-product-area partnerships on behalf of the effort.