Job Description

Minimum qualifications: + Bachelor's degree or equivalent practical experience. + 10 years of experience in product management or related technical role. + 5 years of experience taking technical products from conception to launch. + Experience with the domain area of Generative AI or Large Language Models. Preferred qualifications: + Master's degree in a technology or business related field. + 8 years of product management experience, including experience with technical products and driving elements of the product development life-cycle (e.g., product proposal, go-to-market strategy, requirements, launch, adoption). + Experience managing day-to-day technical and design direction, and working effectively with cross-functional teams (e.g., engineering, UX/UI, research, operations, legal). + Ability to navigate high ambiguity, identify strategic opportunities, and build products from 0 to 1. 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. Your journey will begin by product testing your own product, starting with AI-native processes across the product life-cycle, and piloting an AI-native workforce at the individual, team, and organizational level. In this role, you will work with an equally innovative and ambitious engineering team to become a pioneer in the AI-native workforce transformation, personally confronting the challenges and opportunities of human-AI collaboration. The insights from this deep operational work will directly inform the strategy, design, and roadmap for the scalable AI native Workforce platform you will build. You will drive operational change at the organization level, then translate those learnings into a product that will redefine how tens of thousands of Googlers do their work, and then bring these products and learnings to the industry to drive AI-native workforce.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. The US base salary range for this full-time position is $227,000-$320,000 + 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 ( . + Lead the discovery, definition, and delivery of novel AI-powered products and features designed to optimize Google's internal operations and enhance employee productivity. + Develop and advocate product goal and multi-year strategy for AI-driven operational transformation, aligning with Google's broader business objectives. + Conduct deep dives into complex internal workflows, identify critical pain points, and uncover opportunities for significant AI-led improvements in efficiency, collaboration, and decision-making. + Partner closely with engineering, UX, research, program management, and various stakeholder teams across Google to design, prototype, pilot, and iterate on innovative solutions. + Translate qualitative and quantitative insights from user research, operational analysis, and pilot programs into clear product requirements, user stories, and specifications. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also and If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form:

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