Job Description

About the Role

We are looking for a results-driven GPU Data Center Sales / Business Development professional to develop and grow our GPU computing business.

This role will focus on selling GPU computing capacity, AI infrastructure and data center solutions to enterprise customers, AI companies, technology companies, cloud providers and strategic partners.

Key Responsibilities

Develop and drive new business opportunities for GPU data center and AI computing services.
Identify, engage and acquire customers with requirements for GPU computing, AI training and inference, HPC and cloud infrastructure.
Build and maintain strong relationships with enterprise customers, AI companies, technology companies, cloud providers and strategic partners.
Manage the full sales cycle, from lead generation and client engagement to solution discussions, commercial negotiations and contract closing.
Develop opportunities for long-term GPU capacity commitments, pre-purchase arrangements and forward capacity contracts.
Work closely with technical and operations teams to understand GPU infrastructure, available capacity, pricing and delivery requirements.
Prepare commercial proposals, pricing models and business cases tailored to customer requirements.
Monitor market trends and developments across GPU computing, AI infrastructure, cloud and data center markets.
Achieve individual and team sales targets while building a strong and sustainable customer pipeline.

Requirements

3+ years of B2B Sales / Business Development experience.
Experience in one or more of the following areas is preferred:
- GPU Cloud / AI Cloud
- AI Infrastructure
- Data Centers
- Cloud Computing / IaaS
- High-Performance Computing (HPC)
- Servers / GPU Hardware
- Enterprise Technology
Strong business development and client relationship management skills.
Proven track record in developing new clients and closing commercial deals.
Good understanding of enterprise technology, cloud computing and infrastructure solutions.
Strong communication, negotiation and presentation skills.
Self-motivated, target-oriented and comfortable working in a fast-growing environment.
An established network among AI companies, technology companies, cloud providers or enterprise customers will be an advantage.

Preferred Qualifications

Candidates with experience in NVIDIA GPU solutions, H100/H200/B200/B300, GPU clusters, AI training/inference or GPU computing capacity will be highly preferred.

Experience with long-term capacity contracts, GPU leasing, compute marketplaces, tokenized/RWA assets or other technology-related financial products will be an added advantage.

What We Offer

Opportunity to be part of the rapidly growing AI Computing and GPU Data Center industry.
Exposure to large-scale GPU infrastructure and AI computing projects.
Competitive compensation with performance-based incentives.
Opportunity to work with international customers and strategic partners.
Fast-growing environment with significant business development and career opportunities.