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VESSL AI

GPU cloud platform for AI workloads

Head of People

HR Generalist & Employee RelationsPosted on Nov 9
Full-timeSeoul, South KoreaNo salary listedIn-person

About the Job

Requirements

  • Experience understanding business strategy and business models and connecting them to organization and talent strategy to contribute to business results.
  • Experience diagnosing organization-level issues, including organizational structure, roles, responsibilities, and key-talent placement, and leading practical change.
  • Ability to discuss organizational issues with the CEO and executive team and influence major decisions using data and logic.
  • Understanding of high talent standards and performance-oriented organizational practices, and experience developing strategies to acquire, develop, and retain key talent.
  • Hands-on ownership in defining and leading execution of necessary initiatives in uncertain environments, beyond strategy development.
  • Leadership that maintains principles and balance in difficult HR decisions and earns the trust of both executives and employees.

Responsibilities

  • Develop a People strategy and roadmap aligned with business strategy in partnership with the CEO and executive team; set direction for organizational structure, roles, responsibilities, staffing, and decision-making systems; and lead decisions and change management for major organizational changes.
  • Develop workforce planning and hiring priorities aligned with business goals and financial plans; establish a high hiring bar and talent acquisition strategy; and build systems for acquiring and placing executives, key leaders, and key talent, including succession planning.
  • Establish VESSL AI’s leadership principles and expectations; advise the CEO and organizational leaders on organizational and talent decisions; and build an operating culture based on delegated responsibility and authority, feedback, and collaboration.
  • Set the direction for performance management, talent evaluation principles, compensation based on role, level, and performance, and employee growth systems aligned with business goals; establish the direction for organizational culture and employee experience so core values inform employee behavior and decisions.
  • Set the response direction for significant employee relations matters such as underperformance, discipline, and termination, and lead executive decision-making; identify and address people risks such as key-talent attrition and organizational conflict; and oversee risk management based on labor relations law and HR compliance.
  • Manage the People Team’s strategy, organization, goals, and priorities; define responsibilities for functions such as recruiting and HR operations and develop team members; oversee organization diagnostics and executive reporting based on people data, and the operational stability of people policies, processes, and systems.

Desired Qualifications

  • Experience leading a People organization at a fast-growing startup or technology company.
  • Experience building and scaling organizational and HR systems from the ground up.
  • Experience hiring executives and key leaders and strengthening organizational leadership.
  • Experience handling significant employee relations matters and organizational change management.
  • Experience collaborating with global organizations or People teams across multiple countries.

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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