Director, Product Management, GDC, AI-Led Services

Benefits

• 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 (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance
• Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
• Baby Bonding Leave: 18 weeks
• Holidays: 13 paid days per year

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.

Preferred work locations: Sunnyvale, CA; Kirkland, WA; New York, NY; Seattle, WA; San Francisco, CA.

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.
• 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 the AI infrastructure (compute, storage, networking) foundations as well as 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.

Salary and Compensation

US base salary range for this full‑time position is $282,000–$392,000 + bonus + equity + benefits. Salary is determined by role, level, and location and is adjusted for individual experience, education, and relevant training.

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 inference, supporting use cases such as real‑time computer vision and local LLM execution.
• Partner with hardware OEMs to co‑design systems that are purpose‑built for AI‑first applications.

Equal Employment Opportunity Statement

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.

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