Product Manager, Google Distributed Cloud, AI Storage Infrastructure
Job Overview
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Date PostedMarch 16, 2026
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Location
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Expiration date--
Job Description
2026-03-11T15:01:00.055Z
132491627305280198
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 in people management, with technical leadership.
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5 years of experience taking storage products from conception to launch.
- Experience with the infrastructure requirements specific to Large Language Models (LLMs).
- Experience managing executive-level relationships and participating in technology partnerships or industry consortiums.
Preferred qualifications:
- Master’s degree in a technology or business related field.
- 10 years of experience in product management, with 5 years of experience in the Infrastructure as a Service, security domain.
- 7 years of experience working cross-functionally with engineering, UX/UI, sales finance, and other stakeholders.
- 7 years of experience in a business function or role (e.g., strategic marketing, business operations, consulting).
- 5 years of experience in a role preparing and delivering technical presentations to 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.
Google Distributed Cloud (GDC) is a private Cloud platform that enables enterprises and public sector organizations to run modern apps anywhere consistently at scale. We offer a wide spectrum of solutions from managed software on your own hardware, fully managed hardware and AI-led software services, to completely air-gapped sovereign offerings.
Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s 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.
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 $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
- Lead the direction for GDC AI Storage Infrastructure capable of supporting next-gen AI.
- Define the long-term roadmap for GDC AI Storage Infrastructure to power next-generation AI training and inference.
- Lead the deployment and optimization of Gemini Storage Infrastructure across air-gapped, connected, and regulated environments.
- Mentor a high-performing product team while managing strategic relationships with executive stakeholders and technology partners.
- Balance performance requirements with the strict data residency and sovereignty needs of global customer.
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 Google’s EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.