Product Manager, Computer Use, DeepMind

Share Product Manager, Computer Use, DeepMind corporate_fare DeepMind place Mountain View, CA, USA Bachelor's degree or equivalent practical experience. Preferred qualifications: 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. Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $163000 - $236000 (USD) + 15% bonus target + equity + benefits Learn more about benefits at Google . Define the product strategy and roadmap for computer use. Engage with enterprise customers, developers, and the broader agent ecosystem to synthesize user feedback, uncover capability gaps, and bring back market and competitive signals to inform that outlook. Own the quality bar for computer use capabilities and build out dedicated, real-world evals. Identify high-value workflows, define new eval slices, and drive the data and post-training strategy required to reach production-grade reliability. Bring this outlook to life across Google's products and developer platforms. Partner with teams across Google to define launch criteria and ship computer use experiences in products like Chrome, while driving developer and enterprise adoption through the Gemini API and Google Cloud. Influence technical roadmaps and model tradeoffs. Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire . Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting. Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right. #J-18808-Ljbffr DeepMind