5+ years of experience in cloud, AI infrastructure, data center, HPC, or enterprise sales.
Strong understanding of GPU Cloud, bare metal, and AI training/inference infrastructure.
Familiarity with NVIDIA GPU products and the GPU capacity market.
Proven experience developing large customers and closing complex B2B deals.
Experience with large-scale GPU clusters, AI infrastructure, or long-term capacity deals is preferred.
Responsibilities
Drive customer acquisition and revenue growth for GPUaaS offerings.
Develop AI labs, model companies, AI infrastructure companies, cloud providers, and large enterprise customers.
Understand customer GPU requirements for training and inference workloads.
Own the full sales cycle from prospecting to deployment.
Drive large-scale GPU capacity and long-term commitment deals.
Work closely with cross-functional teams to execute complex customer deployments.
Build and maintain relationships with key decision-makers.
Benefits
Comprehensive health insurance options.
Flexible work arrangements.
Professional development opportunities.
Collaborative and innovative work environment.
Full Job Description
What You Will Be Responsible For GPU as a Service (GPUaaS) Sales
Drive customer acquisition and revenue growth for GPUaaS offerings, including GPU Cloud, bare metal, and dedicated GPU clusters.
Develop AI labs, model companies, AI infrastructure companies, cloud providers, and large enterprise customers.
Understand customer GPU requirements for training and inference workloads and match them with the right GPU, cluster size, region, and deployment solution.
Own the full sales cycle from prospecting and technical evaluation through pricing, contract negotiation, and deployment.
Drive large-scale GPU capacity and long-term commitment deals.
Work closely with product, infrastructure, engineering, finance, and legal teams to execute complex customer deployments.
Build and maintain relationships with CTOs, Heads of Infrastructure, VPs of Engineering, Procurement leaders, and other key decision-makers.
How You Will Stand Out
5+ years of experience in cloud, AI infrastructure, data center, HPC, or enterprise sales.
Strong understanding of GPU Cloud, bare metal, and AI training/inference infrastructure.
Familiarity with NVIDIA GPU products and the GPU capacity market.
Proven experience developing large customers and closing complex B2B deals.
Experience with large-scale GPU clusters, AI infrastructure, or long-term capacity deals is preferred.
