JobsProduct ManagerSan JoseProduct Manager, GenAI, DeepMind
Posted 3 days ago · Jobs at Google
Product Manager, GenAI, DeepMind
Google · Mountain View, California, United States
In short
The Product Manager will define the strategy and roadmap for integrating Gemini capabilities into first-party products. They will collaborate with research and product teams to benchmark model capabilities and build AI-powered user experiences.
What they're looking for
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Candidates must have a bachelor's degree and at least 5 years of experience in product management or a related technical role. Proficiency with advanced AI technologies, specifically Large Language Models, is required.
About Google
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Questions about this role
- Is this Google role remote?
- Tagged on site.
- What does it pay?
- The posting lists $163,000–$236,000 a year.
- Does it sponsor visas?
- Listed as no visa sponsorship.
- What experience does it ask for?
- Listed as 5-10 years.
The posting, in full
Bachelor's degree or equivalent practical experience. 5 years of experience in product management or a related technical role. Experience with advanced AI technologies, including Large Language Models (LLMs). Experience in building AI-powered consumer products. Experience building ML products. Artificial intelligence will be one of humanity’s most transformative inventions. At 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 varied learning opportunities and career pathways for those driven to achieve exceptional results through collective effort.
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Minimum qualifications
- Bachelor's degree or equivalent practical experience.
- 5 years of experience in product management or a related technical role.
- Experience with advanced AI technologies, including Large Language Models (LLMs).
Preferred qualifications
- Experience in building AI-powered consumer products.
- Experience building ML products.
About the job
Artificial intelligence will be one of humanity’s most transformative inventions. At 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 varied learning opportunities and career pathways for those driven to achieve exceptional results through collective effort.
In this role, you will have an opportunity to join DeepMind’s Applied team, working across Gemini Research teams and Google product areas to deliver the best model capabilities for first-party product experiences. You will define the product strategy, roadmap, and key features that will enable users and developers to adopt Gemini for high priority use cases.
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.
Responsibilities
- Own the roadmap for delivering Gemini capabilities to first-party products by identifying and prioritizing high-value use cases to address.
- Partner with research teams to define, benchmark, and productionize new model capabilities.
- Experiment rapidly with agentic harnesses to demonstrate capabilities and discover new opportunities.
- Collaborate with Google products to re-invent, prioritize, and build AI-powered experiences for users.
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