About The Position

NVIDIA is seeking a Senior Global Business Development Manager to join its Service Provider/Telco team, ideally based in Santa Clara, CA. This role focuses on enabling the largest service providers and telecom operators to build and monetize AI infrastructure, as AI transitions from centralized training to distributed inference. The successful candidate will work directly with partners to implement NVIDIA technologies, reference architectures, software, and ecosystem capabilities at scale, supporting partners in launching AI services and generating new revenue streams.

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 both 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 — 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 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 new 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 and uncover 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.

Benefits

  • Equity
  • Benefits
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