Product Manager, Computer Use, DeepMind

Job description

Minimum qualifications

Bachelor's degree or equivalent practical experience. 5 years of experience in product management, particularly foundation models, multimodal agents, computer use, or browser/UI automation.

Preferred qualifications

Experience shipping AI capabilities into consumer or enterprise products (e.g., browsers, operating systems, productivity tools) as well as developer APIs and cloud platforms. Track record of defining evaluation frameworks, real-world benchmarks, and quality metrics for AI systems, translating complex enterprise or developer workflows into model requirements. Ability to navigate model capability and serving tradeoffs across quality, latency, and cost (e.g., model routing, post-training, and agent harnesses).

Excellent strategic thinker with a bias for action. About the job In this role, you'll join the Gemini model Product Management team at Google DeepMind, which shapes what the core Gemini model can do: setting capability priorities, defining quality bars and evals with research, and landing each Gemini release across Google products and developer platforms. Within it, you'll be part of the multimodal team, which unlocks multimodal agents that can see, understand, and act across first-party and third-party surfaces.

Computer use is one of the biggest opportunities for those agents. Much of what people do every day, at work and at home, happens in software built for humans, not agents: SaaS apps, legacy systems, portals, and consumer websites and apps that will never have an API. Making Gemini the best engine for computer use agents lets it finish the job when an API is missing. You'll partner with the pre-training and post-training research teams that own computer use, and bring it to hero surfaces like Gemini in Chrome, the Gemini API, Gemini Enterprise, and Android.

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.