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VESSL AI

GPU cloud platform for AI workloads

AI Infrastructure Strategy Manager

Business OperationsConfirmed live in the last 24 hours
Full-timeSeoul, South KoreaNo salary listedIn-person

About the Job

Requirements

  • At least 5 years of experience in contract negotiation-related work.
  • Ability to independently lead deals in consultation with executives.
  • Ability to understand technical requirements and reflect them in commercial terms.
  • Ability to communicate in English.

Responsibilities

  • Identify, negotiate, and close domestic and international GPU cluster deals.
  • Evaluate business opportunities.
  • Design, negotiate, and execute strategic partnerships with counterparties.
  • Negotiate and execute contracts, including Korean- and English-language MSA, SLA, and DPA agreements.
  • Design and execute financing structures related to deals.

Desired Qualifications

  • Practical experience operating or building internet data centers or working in colocation, including understanding power capacity, cooling, rack power density, and GPU networks.
  • Ability to review supplier cluster specifications, service-level agreements, and delivery schedules.
  • Established network among domestic cloud service providers, telecommunications companies, or internet data center operators.
  • Practical experience with performance guarantees, surety insurance, or deposit pledges as collateral.
  • Experience with contracts through distributors or resellers.
  • Understanding of inference and AI service business models.
  • Experience with build-to-order GPU server deployment or equipment leasing businesses.

About the Company

VESSL AI

GPU cloud platform for AI workloads

What VESSL AI does: It runs VESSL Cloud, a GPU cloud platform built for AI workloads. It gives teams on-demand access to high-end GPUs (A100, H100, B200, B300, GB200) to run activities like LLM fine-tuning, large-scale model training, and AI inference. How it works: Users launch GPU instances in VESSL Cloud from VESSL’s own data center infrastructure, paying per minute for usage, and using the platform to accelerate AI development without managing physical hardware. How it stands out: It operates its own data center and offers per-minute billing, delivering up to 80% cost savings versus AWS and GCP, focusing specifically on AI workloads rather than general-purpose cloud services. What the goal is: To help AI teams move quickly from idea to production by removing infrastructure overhead and providing scalable, affordable GPU resources for AI work.

Company size
51-200
Company stage
Series A
Total funding
$16.6M
Headquarters
San Francisco, CA
Founded
2020

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