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Product Manager, AI Acceleration

GoogleNew York, NY, USA; San Jose, CA, USA
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.

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.

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 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 + benefits

Learn more about benefits at Google.

Responsibilities

  • Lead the discovery and development of new tools, skills, and sub-agents that address the evolving needs of teams navigating critical data journeys
  • Build 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.

Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google's Applicant and Candidate Privacy Policy.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.

If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.

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