Senior AI Infrastructure Business Development Manager - Service Providers and Telco

In this role you will drive strategic partnerships with telcos, service providers, and platform partners to scale NVIDIA AI infrastructure and services. You'll shape go-to-market models for AI cloud, inference services, and Enterprise AI, while exploring innovative token-based monetization and capacity-building initiatives. You will work across engineering and executive leadership to unlock new revenue streams and orchestrate ecosystem collaboration at scale. This is a chance to influence how AI infrastructure is deployed across global service providers and operators.

• base salary and equity
• benefits
• opportunity for career growth
• travel flexibility

• Build and manage relations with telecom operators, service providers, model builders, and ISVs from initial alignment to launch and scale
• Define and drive go-to-market strategies with strategic partners for AI Cloud infrastructure, inference services, and Enterprise AI solutions
• Develop new business models and tokenomics frameworks spanning open weight models, Sovereign AI, and Token-as-a-Service to optimize GPU utilization and cost per token
• Identify opportunities to create Token factories and expand AI infrastructure capacity across Land-Power-Shell domains
• 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

• 12+ years in business development, partnerships, or go-to-market roles in 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%

• Strategic thinking
• Cross-functional collaboration
• Executive communication
• Data center proficiency
• Cloud and AI infrastructure expertise
• Experience with partner ecosystems and platform strategies