Product Manager, Search, AI-Native Product Development

MINIMUM QUALIFICATIONS: * Bachelor's degree or equivalent practical experience. * 3 years of experience in product management or related technical roles. * 1 year of experience taking technical products from conception to launch (e.g., ideation to execution, end-to-end, 0 to 1, etc). * Experience leading the product development life-cycle for applications natively powered by foundation models (Large Language Model (LLMs)/Lower Mass Market (LMMs) or agentic architecture. * Experience prototyping AI features using developer tools, APIs, or AI-assisted coding environments (e.g., Claude Code, Codex) to validate feasibility. PREFERRED QUALIFICATIONS: * Computer Science, Data Science, or other relevant Engineering degree. * Experience defining and managing evaluation frameworks for non-deterministic systems, or optimizing product trade-offs between model accuracy, latency, and inference compute costs. * Experience designing user interfaces that elegantly handle AI uncertainty, including implementing citation/grounding mechanisms, transparent confidence indicators, and proactive mitigation of hallucinations. * Proven track record working within AI data flywheels that capture high-quality user feedback, human-in-the-loop (HITL) corrections, or continuously fine-tuning and improving underlying models in production. * Operate with extreme agency and founder mindset; demonstrates a strong bias for action, in addition to iterate and improve mindset. 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. As a part of the Search organization, you will work on some of the most compelling and frequent consumer information seeking needs. More importantly, this team is at the forefront of bringing the latest advancements in foundational models to build the future of Search in the AI and Agentic Era. Users are asking far more complex questions, expect deeply comprehensive coverage, and expect hyper fresh content. Beyond and answer, Search strives to advise, teach, inform, and even create together. Projects will depend on business need and personal interest, and will align to new 0 to 1 AI-native product development initiatives. If you’re obsessed with tinkering like a founder, love getting deep into the weeds on AI-specific product nuances and have the agency to drive impact across billions of users this is the team for you! 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. Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $138000 - $197000 (USD) + 15% bonus target + equity + benefits Learn more about benefits at Google [https://www.google.com/about/careers/applications/benefits/]. RESPONSIBILITIES: * Define the features and roadmap for key components of consumer journeys. * Engage in AI usage for personal productivity and for prototyping new product ideas. * Immerse in model quality, defining query sets, launching and running evals, looking at eval outcomes for the next round of product improvements etc. * Partner with various leaders and stakeholders to execute on a compelling roadmap. * Author clear plans to communicate to leadership and other key stakeholders.