Group Product Manager, Google Distributed Cloud Agentic Workloads jobs in United States
cer-icon
Apply on Employer Site
company-logo

Google · 3 days ago

Group Product Manager, Google Distributed Cloud Agentic Workloads

Google is a leading technology company focused on putting users first and adapting to a rapidly changing world. In this role, you will guide products from conception to launch by connecting the technical and business worlds, while collaborating with engineers and designers to create innovative solutions that improve access to information.

AppsArtificial Intelligence (AI)Cloud StorageSearch EngineSEO
check
Growth Opportunities
check
H1B Sponsor Likelynote

Responsibilities

Define the long-term goal, strategy, and roadmap for the GDC Agentic AI portfolio, aligning it with overall GDC on AI goals, market trends, and customer needs, and GTM strategy
Collaborate closely with customers to define Agentic AI product requirements and architecture specifically in the public sector space, prioritize features, and oversee the product development lifecycle from concept to landing
Provide leadership, guidance, and mentorship to other product managers
Build and maintain relationships with key stakeholders and customers to understand their needs, gather feedback, and translate them into actionable product improvements
Identify and address technical risks, infrastructure bottlenecks, and scaling challenges

Qualification

Product managementAI domain experienceDistributed systemsLarge-scale infrastructureAI infrastructureMarket analysisCollaborationMentorship

Required

Bachelor's degree or equivalent practical experience
10 years of experience in product management or related technical role
5 years of experience taking technical products from conception to launch (e.g., ideation to execution, end-to-end, 0 to 1, etc)

Preferred

Master's degree in a technology or business related field
15 years of product management experience in the AI domain, with experience managing and launching technical products and features
Experience building large-scale distributed AI platforms and distributed systems, including GPU systems
Experience as a builder of large-scale infrastructure products, and understanding of AI infrastructure (GPUs), virtualization, containerization
Understanding of AI and Agentic technologies
Ability to analyze market and customer data, interpret complex data sets, and use insights to drive product strategy and decisions

Benefits

Bonus
Equity
Benefits

Company

Google specializes in internet-related services and products, including search, advertising, and software. It is a sub-organization of Alphabet.

H1B Sponsorship

Google has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (8763)
2024 (8872)
2023 (9682)
2022 (11626)
2021 (9109)
2020 (9785)

Funding

Current Stage
Public Company
Total Funding
$26.1M
Key Investors
Kleiner Perkins,Sequoia CapitalAndy Bechtolsheim
2004-08-19IPO
1999-06-07Series Unknown· $25M
1998-11-01Angel· $1M

Leadership Team

leader-logo
Sundar Pichai
CEO
linkedin
leader-logo
Thomas Kurian
CEO - Google Cloud
linkedin
Company data provided by crunchbase