Technical Account Manager

The role

We're looking for a Technical Account Manager (TAM) 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:
  o performance (latency, throughput)
  o cost efficiency
  o 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

We expect you to have: 

• Technical background
  • Solid understanding of:
  o cloud or infrastructure systems
  o distributed systems or high-load applications
  o 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
• Familiarity with inference frameworks (e.g. vLLM, TensorRT, etc.)
• Background in solutions engineering, SRE, or technical support in B2B environments