Technical Account Manager - Token Factory

Details

About Nebius

Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.

Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.

Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.

The Role

We’re looking for a Technical Account Manager (TAM) who will join our Token Factory team to help our customers successfully transition from proof-of-concept to production and scale their AI workloads on Nebius infrastructure.

This role sits at the intersection of engineering, delivery, and customer success — ensuring that what was promised during pre-sales actually works reliably in production. You will work closely with customer engineering teams, Solution Architects, and Product/Infrastructure teams to drive stable, performant, and cost-efficient deployments.

This role is NOT:

• A sales role (though you will support expansion through value)
• A pure support role (you won’t just react to tickets)
• A solution architect role (you won’t design systems from scratch)

You’re welcome to work remotely from the United States.

Responsibilities

• Own the production journey
  • Lead the transition from PoC to production
  • Ensure customer workloads are deployed, stable, and scalable
  • Drive time-to-production and time-to-value
• Ensure technical success in production
  • Understand customer architectures and use cases
  • Monitor and improve:
    • performance (latency, throughput)
    • cost efficiency
    • reliability
  • Identify and resolve bottlenecks proactively
• Act as a trusted technical partner
  • Work directly with customer engineering teams
  • Provide guidance on best practices and optimisation
  • Translate technical challenges into actionable solutions
• Manage risks and incidents
  • Act as a primary technical contact for production issues
  • Coordinate with internal teams to resolve incidents
  • Communicate clearly during high-pressure situations
• Drive continuous improvement
  • Identify opportunities to optimise and expand usage
  • Provide structured feedback to Product and Infrastructure teams
  • Help shape better solutions based on real customer needs

Requirements

Technical background

• Practical knowledge of inference frameworks (e.g. vLLM, TensorRT, or similar)
• Solid understanding of:
  • cloud or infrastructure systems
  • distributed systems or high-load applications
  • AI/ML workloads (LLMs, inference, etc.) is a strong plus
• Ability to troubleshoot and reason about system performance

Customer-facing experience

• Experience working directly with technical customers (e.g. engineers, ML teams)
• Ability to communicate complex topics clearly and effectively

Ownership & execution

• Strong sense of ownership — you drive outcomes, not just tasks
• Ability to manage multiple customers and priorities
• Structured, proactive, and solution-oriented mindset

It will be an added bonus if you have

• Experience with GPU workloads or AI infrastructure
• Background in solutions engineering, SRE, or technical support in B2B environments

Key employee benefits

• Health insurance: 100% company-paid medical, dental, and vision coverage for employees and families.
• 401(k) plan: Up to 4% company match with immediate vesting.
• Parental leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers.
• Remote work reimbursement: Up to $85/month for mobile and internet.
• Disability & life insurance: Company-paid short-term, long-term and life insurance coverage.

Benefits & Perks

• Competitive compensation
• Career growth and learning opportunities
• Flexibility and ownership
• Collaborative and innovative culture
• Opportunity to work on impactful AI projects
• International environment and talented teams