Head of NeoCloud TPUaaS​/GPUaaS Leasing

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.

Note:

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

• Bachelor's degree or equivalent practical experience.
• 14 years of experience in business development or commercial negotiations within cloud computing, infrastructure-as-a-service, or technology hardware industries.
• 5 years of experience in people management, leading cross-functional teams or managing structured program offices.
• Experience structuring or executing enterprise commercial agreements or hardware leasing agreements.

• Advanced degree (e.g., MBA, MS in Computer Science/Engineering) in a related tech, or business field.
• Deep, demonstrable expertise across AI/ML infrastructure, including TPU/GPU compute topologies, cloud scaling architectures, and capacity planning.
• Exceptional ability to influence cross-functional technical and business executives, translating hardware roadmaps into scalable commercial solutions.
• Established network within the AI development ecosystem, including venture-backed enterprise AI companies and hyper-scale tech partners.

The Program Lead for Neo Cloud TPUaaS/GPUaaS Leasing Business drives the strategy, operations, and commercial success of our chip capacity leasing program. In this role, you will architect the end-to-end program, direct leasing initiatives, and secure high-value agreements to scale our hardware infrastructure as a service. You will define the multi-year strategy, turning capabilities into market-leading commercial offerings.
Leading a cross-functional team, you will drive compute capacity leasing, infrastructure allocation, and agreement negotiations to maximize Tensor Processing Unit (TPU) and Graphics Processing Unit (GPU) fleet utilization and business. This requires an understanding of commercial compute models, data center capabilities, and complex capacity lease structures. You will serve as the primary interface with executive technical leadership and sales teams to align global capacity, while building alliances with AI startups and representing Neo Cloud to premier clients and cloud partners.
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: $222000 - $308000 (USD) + 25% bonus target + equity + benefits

Learn more about benefits at Google .

• Architect the multi-year Neo Cloud TPUaaS/GPUaaS strategy, translating complex AI hardware requirements into commercially viable leasing packages.
• Structure and discuss complex Hardware-as-a-Service (HaaS) capacity agreements to meet business demand and business goals.
• Build executive relationships with Neo Clouds, AI startups, and ecosystem partners to secure long-term utilization commitments.
• Own end-to-end financial impact, aligning leasing, capacity scheduling, and infrastructure allocation with global efficiency goals.
• Direct and coach cross-functional teams, cultivating a high-accountability culture focused on customer-centric technical excellence.

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