Overview 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.
Compensation / Benefits- base salary and equity
- benefits
- opportunity for career growth
- travel flexibility
Responsibilities- 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
Key requirements- 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
