Group Product Manager, Gemini Cloud Assist

MINIMUM QUALIFICATIONS: * Bachelor's degree or equivalent practical experience. * 10 years of experience in product management or a related technical role. * 5 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. PREFERRED QUALIFICATIONS: * Master's degree in a technology or business related field. * 5 years of experience working cross-functionally with engineering, UX/UI, sales finance, and other stakeholders * Experience with AI-powered products, data platforms, or large-scale analytics systems. * Experience defining a multi-year product goal and strategy and translating it into a concrete, actionable roadmap. * Demonstrated ability to influence cross-functional teams and senior leadership without direct authority. * Excellent user experience and a passion for building engaging, intuitive, and well-designed products. ABOUT THE JOB: 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. Gemini Cloud Assist is an AI-powered assistant designed to transform cloud management and operations within Google Cloud. It provides intelligent assistance across the entire application lifecycle, from initial design and deployment to monitoring, troubleshooting, and optimization. It places AI at the center of the cloud experience to boost efficiency and accelerate innovation for all users. In this role, you will revolutionize cloud operations with AI and shape the future for developers worldwide as a Product Manager on the Gemini Cloud Assist team. You will apply advanced, agentic AI to the toughest challenges in cloud management, collaborating with a talented team to redefine how applications are built, deployed, and optimized and will make a real impact on simplifying the cloud and accelerating innovation for customers everywhere. Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems. 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 [https://www.google.com/about/careers/applications/benefits/]. RESPONSIBILITIES: * Lead the product goal, strategy, and roadmap for key Gemini Cloud Assist Chat user experiences, focusing on developing new agentic AI features to enhance cloud operations and application lifecycle management needs for customer. * Apply strong investigative skills, specifically with loss analysis and quality hill-climbing. * Build and run quality evaluations, in collaboration with engineering and data science teams. * Understand user needs and pain points through user research, data analysis, and market research. * Launch and iterate on new products and features, analyzing their performance and making data-driven decisions to optimize user experience.