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VESSL AI

GPU cloud platform for AI workloads

Corporate Finance Team Lead

Corporate Finance & FP&AConfirmed live in the last 24 hours
Full-timeSeoul, South KoreaNo salary listedHybrid

About the Job

Requirements

  • At least 8 years of experience in investor relations, corporate finance, investment banking, private equity, or venture capital.
  • Ability to conduct work communications and prepare investor-relations materials in English.
  • Hands-on experience executing an initial public offering or large-scale fundraising as the person responsible for the work.
  • Ability to independently design and explain financial models and valuations, including discounted cash flow and comparable-multiples analysis.
  • Accounting knowledge sufficient to read financial statements and discuss the basis for figures with the accounting team.

Responsibilities

  • Serve as the communication point for domestic and international institutional investors and existing shareholders.
  • Present business updates and financial performance in English at investor meetings, calls, and board meetings, and respond to questions.
  • Design and operate English and Korean investor-relations decks, quarterly investor updates, and key performance indicator reporting systems.
  • Respond to investor due-diligence requests and manage the data room.
  • Organize investor feedback and market perceptions and communicate them to executives.
  • Develop the equity story, peer group, and valuation rationale with the underwriters.
  • Draft the business and risk-factor sections of securities registration statements and prospectuses, coordinating the financial sections with the accounting team.
  • Prepare and execute institutional demand forecasting and roadshows, including overseas roadshows.
  • Design disclosure and investor-relations operating systems in advance of listing.
  • Develop and manage medium- and long-term business plans and three-statement financial models that support investor communications.
  • Analyze how major contracts, capital expenditures, and new businesses affect valuation and key metrics.
  • Benchmark competitors and global peers to quantify the company's market position.
  • Develop pre-IPO and other equity fundraising strategies and lead investor negotiations.
  • Manage the capitalization table, shareholder-agreement rights such as consent and preemptive rights, and stock-option status.
  • Support financing-related debt raising, including leases and borrowings.
  • Build the corporate finance function and team as the company grows.
  • Work with the CFO on financial strategy and key management decisions.
  • Build financial models for the AI infrastructure and GPU cloud business.
  • Carry out capital-markets work from fundraising through IPO and collaborate directly with the board, domestic and international investors, financial institutions, and accounting firms.

Desired Qualifications

  • Experience executing listings in an issuer investor-relations team or a securities firm's equity capital markets or investment banking department.
  • Experience leading overseas roadshows or fundraising from overseas investors.
  • Experience with a KOSPI- or KOSDAQ-listed company.
  • Experience working with metrics such as annual recurring revenue, utilization, and unit economics at cloud, AI infrastructure, or software-as-a-service companies.
  • CFA or KICPA qualification, or an overseas Master of Business Administration.

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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