Product Manager, Google Distributed Cloud, AI Storage Infrastructure
Company: Google
Location: Sunnyvale
Posted on: April 1, 2026
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Job Description:
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. 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.
Keywords: Google, Watsonville , Product Manager, Google Distributed Cloud, AI Storage Infrastructure, Sales , Sunnyvale, California