Minimum qualifications:

Bachelor’s degree in Computer Science, Life Sciences, Bioengineering, a related quantitative/technical field, or equivalent practical experience.
8 years of experience in product management, technical product management, or software engineering, including leading products through the full development lifecycle.
3 years of experience leading cross-functional technical projects from concept through production launch, partnering across engineering, research, or external stakeholders.
Experience leading any one production AI/LLM product through lifecycle evaluation, testing, or benchmark deployment.

Preferred qualifications:

Experience directly engaging enterprise, government, or academic users to translate domain challenges into product requirements.
Experience designing or deploying multi-agent systems, LLM-based agents, or autonomous multi-step reasoning frameworks in production.
Track record of building self-improving quality frameworks or automated meta-agent orchestration models.

About the job:

At Google, we put our users first. The world is always changing, so we need Product Managers who are continuously adapting and excited to work on products that affect millions of people every day.

In this role, you will work cross-functionally to guide products from conception to launch by connecting the technical and business worlds. You can break down complex problems into steps that drive product development.

One of the many reasons Google consistently brings innovative, world-changing products to market is because of the collaborative work we do in Product Management. Our team works closely with creative engineers, designers, marketers, etc. to help design and develop technologies that improve access to the world's information. We're responsible for guiding products throughout the execution cycle, focusing specifically on analyzing, positioning, packaging, promoting, and tailoring our solutions to our users.

At DeepMind, we are expanding our team as we sharpen focus on the commercialization and real-world impact of AI models and agents across science, cybersecurity, and coding agents. This role connects GDM research with Cloud AI product teams to turn research into transformative enterprise, academic, and government solutions.

In this position, you will lead 0 to 1 product launches from GDM research into Google Cloud, engage directly with customers to understand user needs and assess business impact, and define requirements for a self-improving agent framework that automatically diagnoses issues and scales product quality across engagements.

Artificial intelligence will be one of humanity’s most transformative 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.

US: $256000 - $278000 (USD) + 20% bonus target + equity + benefits

Learn more about benefits at Google.

Responsibilities:

Define product outlook, roadmap, and success metrics for high-impact GDM research initiatives, translating complex innovation into enterprise and commercial solutions.
Lead the end-to-end product lifecycle from incubation to launch, collaborating cross-functionally with GDM and Cloud teams to define opportunities, requirements, and priorities.
Secure leadership buy-in and cross-functional alignment by converting product strategy and articulating the strategic business and societal impact of your portfolio.
Drive product delivery by mediating challenges, optimizing resource allocation, and harmonizing processes to track performance and scale product quality.
Act as the primary subject matter expert for your domain, providing decisive guidance to internal teams and external partners to ensure cohesive and responsible product execution.

Google

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