Technical Account Manager - Token Factory

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 Europe.

Your responsibilities will include:

• 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, and 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

We expect you to have:

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.)