Product Manager, AI Acceleration

Lead the discovery and development of new tools, skills, and sub-agents that address the evolving needs of teams navigating critical data journeysBuild out and operationalize the necessary frameworks and analytics to ensure each journey improves the velocity and precision of Google's data insights.Define and deliver an outlook and strategy for this space. Conduct research and analysis to identify emerging trends and opportunities in the agentic data space.Drive cross-functional collaboration across teams to ensure successful product launches, adoption, and integration.Communicate effectively with stakeholders at all levels, including engineers, analysts, executives, and internal product partners.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 developing or launching products or technologies within artificial intelligence or Machine Learning (AI/ML).Preferred qualifications:Understanding of large-scale data infrastructure (data warehousing, data lakes, distributed query engines, metadata/catalog systems) and modern AI/ML systems (LLMs, retrieval-augmented generation (RAG), agentic frameworks, and evaluation pipelines).Solid understanding of data governance, privacy-by-design principles, and compliance in complex enterprise data environments.Track record of architecting, launching, and scaling mission-critical, high-availability platform services at massive scale.Demonstrated success leading the end-to-end product lifecycle for technical platform products in fast-paced, high-iteration environments.Exceptional communication, strategic thinking, and stakeholder management skills with the ability to influence cross-functional technical teams and executive leadership.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 Product Manager, you will drive foundational data and AI infrastructure across Google. You will join the AI Foundations Product organization, which builds the core data platforms, knowledge systems, tools, and services powering AI/ML innovation, developer productivity, and next-generation intelligent applications across Google.In this role, you will lead critical product initiatives across foundational data management, knowledge platforms, and AI data systems. Your leadership will enable engineering, research, and product teams across Google to securely, reliably, and efficiently build, evaluate, and scale generative AI and agentic capabilities at an unprecedented global scale.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.Note: By applying to this position you will have an opportunity to share your preferred working location from the following: New York, NY, USA; San Jose, CA, USA.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 developing or launching products or technologies within artificial intelligence or Machine Learning (AI/ML).