Applicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act.

In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include:

Health, dental, vision, life, disability insurance
Retirement Benefits: 401(k) with company match
Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
Sick Time: 40 hours/year (statutory, where applicable); 5 days/event (discretionary)
Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
Baby Bonding Leave: 18 weeks
Holidays: 13 paid days per year

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Sunnyvale, CA, USA; Kirkland, WA, USA; New York, NY, USA; Seattle, WA, USA; San Francisco, CA, USA.

Minimum qualifications:

15 years of experience in product management, with experience launching infrastructure or platform products.
Experience building distributed systems and GPU-accelerated platforms.
Experience with infrastructure technologies (e.g., GPU, virtualization, containerization) and their application in AI research.
Experience analyzing market data to drive strategy for emerging technologies like AI agents and edge inference.

Preferred qualifications:

8 years of experience as a second line people manager.
Experience with the genAI technology stack, including LLM orchestration, inferencing, vector databases, and agentic workflows.
Experience managing hardware OEM vendor relationships to deliver integrated software/hardware solutions.
A passion for balancing bold AI innovation with responsible, secure deployment practices.

About the job

As the Director of Product Management for Google Distributed Cloud (GDC), you will define the long-term vision, strategy, and roadmap for a comprehensive AI-centric platform. This includes not only the AI infrastructure (e.g., compute, storage, networking) foundations but also the AI agent frameworks and inference engines that allow enterprises to run modern applications anywhere consistently and at scale.

GDC empowers customers—from government agencies to global retailers—to run mission-critical, AI-led services in their own data centers or at the edge. You will lead the transition of GDC from a managed infrastructure provider to a robust on-prem AI platform that supports the entire lifecycle of autonomous agents and high-performance inferencing in air-gapped and connected environments.

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 $272,000-$383,000 + 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

Define the strategy for the GDC AI platform, focusing on the deployment of autonomous AI agents and optimized inference stacks across diverse hardware profiles.
Oversee the GDC AI infrastructure portfolio, ensuring it provides the specialized accelerator performance required for large-scale AI workloads.
Drive the development of tools and services that enable customers to build, deploy, and manage AI agents capable of automating complex tasks in edge and sovereign settings.
Collaborate with engineering to minimize latency and maximize throughput for edge inferencing, supporting use cases like real-time computer vision and local LLM execution.
Partner with hardware OEMs to co-design systems that are purpose-built for AI-first applications.

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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.

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