Technical Account Manager

asobbi; United States; Remote; USD 120,000 - 150,000; Full time

Job summary

A high-growth GPU infrastructure provider is seeking a hands-on Technical Account Manager to support customers running AI workloads on large-scale GPU clusters. This role demands strong Kubernetes experience for troubleshooting and leading incident management. Candidates should have over 7 years in customer-facing roles with expertise in GPU environments. You'll optimize performance and reliability while providing technical leadership and documentation. This is not a ticket-routing position but an engineering-led role.

Qualifications

• 7+ years in customer-facing infrastructure roles.
• Strong hands-on Kubernetes experience.
• Experience operating bare metal GPU clusters.
• Linux systems and networking fundamentals.
• Familiarity with GPU drivers and CUDA stack.

Responsibilities

• Act as the primary technical contact for a portfolio of customers.
• Troubleshoot production issues across GPU infrastructure.
• Lead incident triage and mitigation.
• Support distributed training and inference workloads.
• Help customers optimize performance and reliability.
• Create documentation and best practices.
• Run regular technical check-ins.

Skills

Customer-facing infrastructure support

Kubernetes expertise

Linux systems knowledge

Incident management

Performance optimization

Tools

Kubernetes

GPU clusters

CUDA stack

Job description

Our client is a high-growth GPU infrastructure provider delivering factory-scale GPU-as-a-Service to organisations running large-scale training and high-throughput inference workloads.

They operate full-stack GPU environments end-to-end — including bare metal, Kubernetes control planes, storage, networking, observability, and day-two operations — enabling customers to deploy AI models with predictable performance and reliability.

The Role

This is a hands-on Technical Account Manager role supporting customers running production AI workloads on large-scale GPU clusters.

You will:

• Act as the primary technical contact for a portfolio of customers
• Troubleshoot production issues across GPU infrastructure and Kubernetes
• Lead incident triage, mitigation, and communication
• Support distributed training and inference workloads
• Help customers optimise performance, reliability, and utilisation
• Create documentation, runbooks, and best practices
• Run regular technical check-ins and health reviews

This is an engineering-led TAM position — not a ticket-routing role.

Required Experience

• 7+ years in customer-facing infrastructure roles
• Strong hands-on Kubernetes experience (networking, storage, scaling, troubleshooting)
• Experience operating bare metal GPU clusters
• Linux systems and networking fundamentals
• GPU drivers and CUDA stack familiarity
• Experience supporting distributed training and/or inference workloads in production
• Ability to lead incidents and communicate clearly under pressure