Senior AI Infrastructure Business Development Manager — Service Providers and Telco

NVIDIA•Santa Clara, CA

11d•$184,000 - $345,000

About The Position

NVIDIA seeks a Senior Global Business Development Manager to support service providers and telecom operators as they develop and monetize AI infrastructure. The role works directly with partners to implement NVIDIA technologies, reference architectures, software, and ecosystem capabilities at scale, helping them launch AI services and create new revenue sources. The ideal location is Santa Clara, California. The position focuses on partnerships and go-to-market strategies for AI Cloud infrastructure, AI inference services, and Enterprise AI solutions. It also develops business models and tokenomics frameworks across open-weight AI models, Sovereign AI, and Token-as-a-Service, with an emphasis on GPU utilization, efficiency, and cost per token. The manager connects supply and demand across the AI infrastructure ecosystem and presents opportunities to technology and business executives.

Requirements

12+ years in business development, partnerships, or go-to-market roles within cloud, infrastructure, or technology.
Technical proficiency in data center, cloud, and AI infrastructure.
Proven ability to engage engineering teams and C-suite executives.
Experience operating effectively in large, cross-functional global organizations.
Track record of building and scaling partner ecosystems.
Bachelor's degree or equivalent experience.
Willingness to travel approximately 40%.

Nice To Haves

Extensive knowledge of AI token economics, including inference performance, cost per token, GPU utilization, pricing, and Tokens-as-a-Service business models.
Experience with AI GPU Neocloud providers or hyperscalers.
Background in semiconductor, service provider, and/or telecom industries.
Familiarity with the NVIDIA software and platform stack.
MBA or Master's degree preferred; equivalent experience considered.

Responsibilities

Build and manage relationships with telecom operators, service providers, model builders, and ISVs from initial alignment through launch and scale.
Define and drive go-to-market strategies with strategic partners to deploy AI Cloud infrastructure, AI inference services, and Enterprise AI solutions.
Develop business models and tokenomics frameworks spanning open-weight AI models, Sovereign AI, and Token-as-a-Service, optimizing GPU utilization, efficiency, and cost per token.
Identify Land-Power-Shell opportunities to develop Token factories and AI infrastructure capacity.
Engage the NVIDIA ecosystem to connect supply and demand across the AI infrastructure stack.
Present and evangelize AI infrastructure opportunities to technology and business executives.