info_outline X Applicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act.Note: By applying to this position you will have an opportunity to share your preferred working location from the following: San Francisco, CA, USA; Mountain View, CA, USA; New York, NY, USA. 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.). Preferred qualifications: • Ability to bridge the gap between deep technical weeds and high-level stakeholder management. • Ability to build scalable frameworks that unify distributed team use cases. • Ability to anticipate a rapidly evolving AI landscape and execute backwards from that future state. • Ability to successfully ship AI at scale or demonstrates extreme scrappiness and rapid learning agility. • Ability to have high creativity and product craft. 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. We are shifting Google Search from just giving answers to actually getting things done seamlessly across sites and services. The Agentic Search team is building agentic features in AI Mode to handle the heavy lifting of complex journeys. For every complex journey, agentic search handles cumbersome tasks to get you optimal results, saving you time and money for what you enjoy. In Google Search, we're reimagining what it means to search for information - any way and anywhere. To do that, we need to solve complex engineering challenges and expand our infrastructure, while maintaining a universally accessible and useful experience that people around the world rely on. In joining the Search team, you'll have an opportunity to make an impact on billions of people globally. The US base salary range for this full-time position is $240,000-$334,000 bonus equity benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google . Responsibilities • Create a strong, reliable foundation for agentic features across Search. • Empower users to get from start to finish all in one place by leading complex initiatives like web agent cache, native checkout, and UCP. • Serve as a operator, digging deep into technical details while simultaneously managing high-level stakeholders and pivoting to handle our hardest problems. • Build frameworks that empower distributed client teams to deliver cohesive agentic use cases across the product. • Use your AI fluency and visionary thinking to parse a rapidly changing AI landscape, execute backwards from the future, and define features that have no precedent.