Product Manager, Cloud TPUs

Socket.dev; Sunnyvale (CA); On-site; USD 163,000 - 236,000; Full time

Job summary

Google is seeking a Product Manager to lead AI/ML infrastructure initiatives, guiding products from ideation to launch across Cloud TPUs and GPUs. You will work cross-functionally with engineering, design, and marketing to drive adoption and business growth.

You will analyze customer needs, develop robust roadmaps, and deliver scalable compute platforms that power AI breakthroughs for Google Cloud and beyond.

Qualifications

• Bachelor's degree or equivalent practical experience.
• 5 years of experience in product management or a related technical role.
• 2 years of experience taking technical products from conception to launch.
• Experience in ML infrastructure, hardware accelerators (TPUs/GPUs), data center architecture, or edge computing.

Responsibilities

• Define and drive the product goal, strategy, and multi-year roadmap for AI/ML infrastructure (Cloud TPUs and GPUs).
• Own end-to-end product lifecycle from ideation to launch, performance monitoring, and iteration.
• Innovate and expand capabilities across TPU technology and accelerator portfolio by intercepting emerging tech and delivering continuous innovation for Google Cloud.
• Provide data-driven insights and rigorous business forecasting to prioritize engineering initiatives and maximize ROI.
• Represent customers by understanding workflows and translating insights into a unified roadmap.

Skills

Product management

End-to-end product development

Cross-functional collaboration

ML infrastructure

Data center / edge computing

Education

Bachelor's degree

Master's degree (preferred)

Job description

Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
• 5 years of experience in product management or a related technical role.
• 2 years of experience taking technical products from conception to launch (e.g., ideation to execution, end-to-end, 0 to 1, etc).
• Experience in one or more of the following domains: ML infrastructure, hardware accelerators (TPUs/GPUs), data center architecture, or edge computing.

Preferred qualifications:

• Master's degree in a technology or business related field.
• 3 years of experience in a business function or role (e.g., strategic marketing, business operations, consulting).
• 3 years of experience in a role preparing and delivering technical presentations to executive leadership.
• 2 years of experience in software development or engineering.
• 2 years of experience working cross-functionally with engineering, UX/UI, sales finance, and other stakeholders.
• 1 year of experience in technical 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.

As the global demand for AI compute accelerates, Tensor Processing Units (TPUs) are the engine driving Google's strategic goal. Our team builds the innovative hardware and software infrastructure powering the next wave of AI breakthroughs. We deliver the industry-leading foundation that enables Google's internal product areas and Cloud customers to train and serve the world's most advanced AI/ML models.

At Google Cloud, we are building the most advanced, enterprise-ready platform relied upon by the world's largest companies. The emergence of AI/ML as a key industry enabler presents a singular opportunity, you will help define and execute a unified product goal that cements Google's AI leadership. As a Product Manager, you will bring the latest compute innovations to the global market, shaping new computing paradigms that positively impact tens of thousands of customers.

The AI and Infrastructure team is redefining what's possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide.

We're the driving team behind Google's groundbreaking innovations, empowering the development of our AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $163000 - $236000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google.

Responsibilities:

• Define and drive the product goal, strategy, and multi-year roadmap for AI/ML infrastructure (Cloud TPUs and GPUs), focusing on customer adoption, business growth, and alignment with long-term data center and edge strategies.
• Own the end-to-end product lifecycle from ideation and Product Requirements Documents (PRDs) to launch, performance monitoring, and continuous iteration ensuring product experience.
• Innovate and expand capabilities across the foundational TPU technology and broader accelerator portfolio by intercepting emerging technologies and delivering continuous innovation for Google Cloud.
• Provide data-driven insights and rigorous business forecasting to prioritize engineering initiatives, build compelling business cases, and maximize return on investment.
• Represent customers by deeply understanding their workflows, pain points, and technical constraints, translating these insights into a unified roadmap that solves their most critical problems.