V

VESSL AI

GPU cloud platform for AI workloads

Technical Account Manager - Sovereign AI Infra

Implementation & Technical Account ManagementConfirmed live in the last 24 hours
Full-timeSeoul, South KoreaNo salary listed

About the Job

Requirements

  • At least three years of customer-facing technical work experience in infrastructure operations, technical support, Site Reliability Engineering, cloud engineering, or a related area.
  • Experience examining Linux server logs and system status to narrow down causes of problems.
  • Understanding of basic networking concepts, including IP, subnets, firewalls, and VPNs, and ability to perform basic troubleshooting using ping, traceroute, and port checks.
  • Understanding of the basic structure of container- and virtualization-based platforms, such as services and load balancers, or ability to learn it quickly.
  • Experience accurately communicating technical information to customers, external operations companies, and internal developers at an appropriate level, identifying the responsible party, and driving issues through resolution.
  • Ability to participate as the customer communications point of contact during urgent incident response.
  • Ability to work at customer and project sites in Seoul/Gyeonggi for at least 50% of working time.

Responsibilities

  • Receive and triage user and operations-partner inquiries and incidents, narrow down whether the cause is in GPU nodes, networking, storage, or the platform, determine whether VESSL's product team, the data-center operations organization, or an operations partner is responsible for resolution, and track the issue through closure.
  • Create and stabilize operating procedures and checklists with operations partners so they can independently handle user onboarding, access-permission requests, and incident response.
  • Hold regular meetings with customer operations and security organizations and operations partners, organize operational issues and change requests, and share them internally at VESSL.
  • Organize user feedback and new requirements with their priorities and technical impacts, relay them to the product team, and coordinate implementation schedules with customers.
  • Assess the operational impact of platform updates, security-policy changes, and equipment expansions, and coordinate work schedules with customers.
  • Prepare regular operations reports covering incident history, resolution times, and recurring issues.

Desired Qualifications

  • Experience resolving technical issues for GPU-cluster users, including GPU, high-performance networking, or parallel-filesystem errors, in collaboration with internal technical teams.
  • Understanding of VLAN, NAT, and firewall-zone structures, and experience tracing where along a network path a connection issue is blocked.
  • Experience using or operating GPU workload scheduling environments such as Kubernetes or Slurm.
  • Experience participating in operational handover and stabilization in enterprise customer environments, including MSP or SI projects.
  • Experience handling security reviews, network separation, and firewall-policy implementation procedures in high-security environments such as financial institutions or large-enterprise data centers.
  • Experience writing root-cause analysis reports or operational procedures.
  • Willingness to investigate and resolve issues beyond the assigned scope, including networking, platform, or customer-business areas, when needed.

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

Recently Posted Jobs

Explore more opportunities at VESSL AI

See more jobs