Enterprise GPU Data Center Sales & AI Infra Growth

Kuailu Software; Singapore; On-site; SGD 60,000 - 100,000; Full time

Job summary

Kuailu Software in Singapore is seeking a results-driven GPU Data Center Sales / Business Development professional to build and expand our GPU computing business for enterprise clients, AI companies and technology providers.

You will own the full sales cycle from prospecting to negotiation, develop long-term capacity commitments, and work closely with engineering teams to tailor AI infrastructure proposals.

Qualifications

• 3+ years of B2B sales/business development experience.
• Experience in GPU Cloud / AI Cloud / HPC and data centers is preferred.
• Strong client relationship management and deal-closure track record.
• Understanding of enterprise technology and cloud infrastructure.

Responsibilities

• Develop and drive new business opportunities for GPU data center and AI computing services.
• Identify and acquire customers with GPU computing, AI training and inference, HPC and cloud infrastructure.
• Build relationships with enterprise customers, AI companies, technology providers, cloud providers and strategic partners.
• Manage the full sales cycle from lead generation to contract closing.
• Develop opportunities for long-term GPU capacity commitments and forward capacity contracts.
• Collaborate with engineering and operations to tailor GPU infrastructure proposals.
• Prepare commercial proposals, pricing models and business cases for customers.
• Monitor market trends in GPU computing and cloud infrastructure.
• Achieve sales targets and build a strong customer pipeline.

Skills

B2B Sales

Negotiation

Presentation

Networking

Enterprise relations

Job description

Kuailu Software in Singapore is seeking a results-driven GPU Data Center Sales / Business Development professional to build and expand our GPU computing business for enterprise clients, AI companies and technology providers.

You will own the full sales cycle from prospecting to negotiation, develop long-term capacity commitments, and work closely with engineering teams to tailor AI infrastructure proposals.