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Senior Sales Engineer - Token Factory

Nebius· Sales Engineering
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Hybrid (Europe)full-timePosted 1w ago

About the role

Senior Sales Engineer to be a foundational technical partner to customers, shaping complex AI workloads from discovery through production feasibility validation, ensuring technical rigor, economic viability, and scalable architecture decisions. Remote work from Europe.

Responsibilities

  • Lead deep technical discovery with engineering teams and technical founders
  • Understand model requirements, traffic expectations, latency constraints, GPU economics, and system dependencies
  • Translate customer ambition into production-feasible architectures
  • Identify hidden technical risks early
  • Partner tightly with Sales on strategic deals
  • Influence deal strategy through architectural clarity
  • Prevent misaligned commitments before engineering allocation
  • Increase PoC-to-production conversion by ensuring technical realism
  • Define measurable success criteria (latency, TTFT, throughput, cost envelope)
  • Classify workload complexity and required optimization depth
  • Align appropriate resources (ML Solution Architects, engineering, GPU capacity, etc.)
  • Drive structured Go / No-Go decisions
  • Prevent uncontrolled customization or hidden R&D
  • Identify recurring configuration patterns across customers
  • Quantify demand for advanced optimizations (quantization, speculative decoding, etc.)
  • Surface structured insights to Product and Engineering
  • Help evolve platform capabilities based on real workload data

Qualifications

  • Deep understanding of AI inference systems and GPU-backed infrastructure
  • Experience with LLM workloads and performance-sensitive environments
  • Experience with inference frameworks and libraries (e.g., vLLM, SGLang, TensorRT-LLM)
  • Ability to reason about latency, throughput, cost, and architecture tradeoffs
  • Strong customer presence with engineering-first organizations
  • Comfort challenging assumptions and pushing back constructively
  • Commercial awareness – you understand that engineering time is a strategic resource

Skills

Required:AI inference systemsLLM workloadsinference frameworks and libraries

Benefits

  • 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
Last updated Oct 14, 2026. Interested? Apply on the company site.
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About Nebius

The ultimate cloud for AI explorers

Discover the most efficient way to build, tune and run your AI models and applications on top-notch NVIDIA® GPUs.

AI CloudToken FactoryGPUKubernetesSlurmManaged servicesTerraformAPI
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