Senior Product Manager, AI Infrastructure

Minimum qualifications:

• Bachelor's degree or equivalent practical experience.

• 8 years of experience in product management or a related technical role.

• 3 years of experience taking technical products from conception to launch (e.g., ideation to execution, end-to-end, 0 to 1, etc.).

• Experience with AI Infra, Compute, AI/ML or Cloud technologies.

Preferred qualifications:

• Master's degree in a technology or business related field.

• 5 years of experience working cross-functionally with engineering, UX/UI, sales finance, and other stakeholders.

• 5 years of experience in a business function or role (e.g., strategic marketing, business operations, consulting).

• 4 years of experience in a role preparing and delivering technical presentations to senior 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.

Cloud TPU is one of Google Cloud's largest and fastest-growing businesses, providing the custom accelerator infrastructure that powers frontier AI labs, global enterprises, and Google’s flagship models. The TPU Platform Experience team’s mission is to deliver an industry-leading, seamless platform layer that makes TPU supercomputers as effortless, reliable, and accessible to operate.

We own the horizontal platform product experience across TPU generations, driving provisioning and lifecycle of TPU instances, multi-chip orchestration, Bare Metal access, full-stack observability, and consumption and commercial models. This team singularly shapes how AI builders deploy, manage, and optimize their workloads on Google Cloud. In this role, you will build the gold-standard platform experience on the edge of AI infrastructure.

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 force behind Google's groundbreaking innovations, empowering the development of our cutting-edge 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: $192000 - $278000 (USD) + 20% bonus target + equity + benefits

Learn more about benefits at Google. Responsibilities:

• Define and execute the product strategy for the Cloud TPU platform experience to deliver a seamless and reliable customer journey from capacity to advanced observability.

• Foster a growing TPU developer community and drive product-led growth by envisioning and implementing features for organic community building, and continuous evaluation of first-party/third-party (1P/3P) library integrations to accelerate Cloud TPU adoption and innovation.

• Advocate platform reliability and observability across the TPU stack, overseeing the integration of robust monitoring solutions, convergence with GPU platform commonalities, and strategic 1P/3P integrations to ensure high service level objective/service level agreement (SLO/SLA) attainment and comprehensive debugging capabilities.

• Lead the evolution of the Cloud TPU user experience, and the development of core TPU primitives and cluster management.