Google DeepMind · 1 day ago
Product Manager, Personalization, Gemini App
Google DeepMind is a leading organization in the field of artificial intelligence, dedicated to advancing technology for public benefit. The role of Product Manager for Personalization in the Gemini App team involves defining and leading the product vision for user interaction with AI, focusing on developing personalized features that enhance user experience.
Artificial Intelligence (AI)Business DevelopmentFoundational AIMachine Learning
Responsibilities
Define and champion a clear product vision, roadmap, and strategic plan for personalizing the Gemini App, effectively integrating emerging AI technologies and ensuring alignment with organizational mission and evolving user needs
Develop and prioritize product requirements by synthesizing user feedback, UX research, rigorous AI model performance metrics, market trends, and competitive analysis
Lead and influence cross-functional teams (Engineering, Research, UX, Legal, etc.) to design, implement, and launch innovative personalization features
Own and drive go-to-market strategies for new personalization features and products, including strategic positioning, market understanding, and impactful messaging
Own and drive the development of robust evaluation methods and success metrics for personalization, converting performance insights into impactful product enhancements
Use quality-driven insights to prioritize product improvements and set up a framework for expanding personalization to additional Gemini App capabilities and surfaces
Qualification
Required
Bachelor's degree or equivalent practical experience
7+ years of experience in product management or related technical role
5 years of experience taking technical products from conception to launch
Demonstrable, extensive technical knowledge and hands-on product experience with advanced AI technologies, including Large Language Models (LLMs)
Proven experience in designing, managing, and continuously refining rigorous evaluation methods and success metrics for AI models and AI-powered products
Demonstrated ability to independently drive complex product initiatives forward in ambiguous and rapidly evolving AI contexts
Experience working cross-functionally with engineering, UX/UI, legal, marketing and other stakeholders to deliver successful products
Proven ability to prepare and deliver compelling technical presentations to senior leadership
Preferred
Experience in building personalized consumer products
Hands-on experience in software development or engineering
Experience in proactively identifying ethical risks in AI system
Experience working on legal or policy issues related to technology products
Benefits
Bonus
Equity
Benefits
Company
Google DeepMind
Google DeepMind aims to research and build safe artificial intelligence system to solve intelligence and advance science and humanity. It is a sub-organization of Google.
Funding
Current Stage
Late StageTotal Funding
unknown2014-01-26Acquired
2011-02-01Series A
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