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Group Product Manager, Relevance, GeminiApp, DeepMind

Google DeepMind · Posted 3 days ago

$240k–$333kmgr
Machine LearningProduct StrategyPersonalizationProduct RoadmapSystems ArchitectureProduct UXProactive NotificationsTeam Leadership

As the Product Manager for Gemini Relevance Platform, you will define and execute the product strategy for the machine learning engine powering discovery, personalization, and proactive engagement across the Gemini App. You will lead a high-caliber team of ML engineers and data scientists tasked with turning Gemini into an indispensable daily habit for hundreds of millions of users worldwide. In this role, you will sit at the intersection of applied machine learning, systems architecture, and core product UX. You will own the roadmap transitioning Gemini from heuristic, random zero-state discovery into deeply personalized, intent-aware experiences across both in-app entry points and proactive out-of-app notifications. 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: $240000 - $333000 (USD) + 25% bonus target + equity + benefits

Learn more about benefits at Google.

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There are 292 open roles at Google DeepMind right now. This role is one of 2,415 Product Manager openings and centers on Machine Learning, Product Strategy, Personalization, and Product Roadmap.

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