Technical Account Manager | AI Production & Optimization

Nebius

United States

On-site

USD 180,000 - 225,000

Full time

14 days+
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Benefits offered by this job

Health insurance
401(k) plan with match
Parental leave
Remote work reimbursement
Disability & life insurance
Competitive compensation (base $180,‑$

Job summary

Nebius, a leading AI cloud platform, is seeking a Technical Account Manager (TAM) to join the Token Factory team. You will help customers transition from PoC to production, ensuring deployments are stable, scalable, and cost-efficient on Nebius infrastructure.

In this role, you’ll work with customer engineers, Solution Architects, and Product/Infrastructure teams to deliver reliable, high-perf AI workloads.

Qualifications

  • Technical background with practical knowledge of inference frameworks (e.g. vLLM, TensorRT).
  • Solid understanding of cloud or infrastructure systems.
  • Experience with distributed systems or high-load applications.
  • Experience with AI/ML workloads (LLMs, inference).
  • Ability to troubleshoot and reason about system performance.

Responsibilities

  • Own the production journey for customer deployments.
  • Lead the PoC to production transition.
  • Ensure workloads are deployed, stable, and scalable.
  • Drive time-to-production and time-to-value for customers.
  • Provide guidance on best practices and optimisation for Nebius infrastructure.
  • Act as a trusted technical partner with customer engineering teams.
  • Coordinate with internal teams to resolve incidents.

Skills

Inference frameworks
Cloud infrastructure
Distributed systems
AI/ML workloads
Troubleshooting performance

Job description

Nebius, a leading AI cloud platform, is seeking a Technical Account Manager (TAM) to join the Token Factory team. You will help customers transition from PoC to production, ensuring deployments are stable, scalable, and cost-efficient on Nebius infrastructure.

In this role, you’ll work with customer engineers, Solution Architects, and Product/Infrastructure teams to deliver reliable, high-perf AI workloads.

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