Product Manager, Gemini for Home, Memory and Personalization

Define and execute feature roadmaps for memory and personalization capabilities, translating complex AI research into consumer-facing features.Lead product definition for personalization and multi-user household experiences, building intuitive memory capabilities that adapt to user preferences.Partner closely with Engineering, UX Design, Research Science, Privacy, and Hardware teams to guide features from initial concept through launch.Define evaluations and key performance indicators (KPIs) to track personalization relevance, memory accuracy, user trust, and system performance.Minimum qualifications:Bachelor's degree or equivalent practical experience.5 years of experience in product management or a related technical role.2 years of experience taking technical products from conception to launch (e.g., ideation to execution, end-to-end, 0 to 1, etc).Experience integrating generative AI tools or LLM interfaces into workflows.Experience building Agents.Preferred qualifications:Master's degree in a technology or business related field.Demonstrated experience launching features that involve data privacy, user consent, or data governance frameworks.Experience collaborating with cross-functional technical teams (Engineering, UX, Research, Legal).Experience with Large Language Model (LLM) memory systems.Proven track record of shipping consumer software smart home experiences and hardware.Strong product intuition with a passion for building seamless, human-centered ambient computing experiences.At Google, we put our users first. The world is always changing, so we need Product Managers who are continuously adapting and excited to work on products that affect millions of people every day. In this role, you will work cross-functionally to guide products from conception to launch by connecting the technical and business worlds. You can break down complex problems into steps that drive product development.One of the many reasons Google consistently brings innovative, world-changing products to market is because of the collaborative work we do in Product Management. Our team works closely with creative engineers, designers, marketers, etc. to help design and develop technologies that improve access to the world's information. We're responsible for guiding products throughout the execution cycle, focusing specifically on analyzing, positioning, packaging, promoting, and tailoring our solutions to our users.Our team is responsible for establishing Google Home as the premier smart home platform by harnessing context data to deliver actionable insights about home occupancy, user context and identity, powering more personalized and helpful experiences in the home.As the Product Manager for Gemini for Home Memory and Personalization, you will define and execute the product roadmap for making Gemini for Home the most useful, delightful, and trusted agent in a user’s lives.In this role, you will manage product and UX challenges, such as navigating individual personal memories across shared communal surfaces (smart displays, speakers, TVs), while ensuring that all home and user data is collected, stored, and managed with strict compliance, user transparency, and granular controls to maintain user trust.The Google Home team focuses on hardware, software and services offerings for the home, ranging from thermostats to smart displays. The Home team researches, designs, and develops new technologies and hardware to make users’ homes more helpful. Our mission is the helpful home: to create a home that cares for the people inside it and the world around it.Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $163000 - $236000 (USD) + 15% bonus target + equity + benefitsLearn more about benefits at Google.Bachelor's degree or equivalent practical experience.5 years of experience in product management or a related technical role.2 years of experience taking technical products from conception to launch (e.g., ideation to execution, end-to-end, 0 to 1, etc).Experience integrating generative AI tools or LLM interfaces into workflows.Experience building Agents.