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Nebius

Runs GPU clouds for AI training and deployment

Senior Sales Engineer - Token Factory

Pre-Sales Solution EngineeringConfirmed live in the last 24 hours
Full-timeNo salary listed

About the Job

Requirements

  • Deep understanding of AI inference systems and GPU-backed infrastructure.
  • Experience with large language model workloads and performance-sensitive environments.
  • Experience with inference frameworks and libraries such as vLLM, SGLang, and 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 and understanding that engineering time is a strategic resource.

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 closely with Sales on strategic deals.
  • Influence deal strategy through architectural clarity.
  • Prevent misaligned commitments before engineering allocation.
  • Increase proof-of-concept-to-production conversion by ensuring technical realism.
  • Define measurable success criteria for latency, time to first token, throughput, and cost envelope.
  • Classify workload complexity and required optimization depth.
  • Align appropriate resources, including machine learning solution architects, engineering, and GPU capacity.
  • Drive structured go/no-go decisions.
  • Prevent uncontrolled customization or hidden research and development.
  • Identify recurring configuration patterns across customers.
  • Quantify demand for advanced optimizations such as quantization and speculative decoding.
  • Surface structured insights to Product and Engineering.
  • Help evolve platform capabilities based on real workload data.

Desired Qualifications

  • Programming languages: Python.
  • Frameworks and libraries: vLLM, SGLang, TensorRT-LLM, OpenAI SDKs, and Anthropic SDKs.
  • Agentic pipeline frameworks: LangChain, LangSmith, smolagents, or equivalent.
  • API and web frameworks: FastAPI and Flask.
  • MLOps and DevOps tools: Kubernetes, Docker, and Git.
  • Cloud platforms: AWS, including SageMaker and Bedrock; GCP, including Vertex AI; and Azure, including Azure ML.

About the Company

Nebius

Runs GPU clouds for AI training and deployment

Nebius runs an AI cloud for developers, researchers, and enterprises that train models and put them into production. Its AI Cloud combines GPU computing, storage, networking, and managed services, while Token Factory runs models through an API so teams do not manage the underlying servers. Customers rent computing and storage at usage rates or reserve capacity, choosing resources that fit short experiments or sustained production workloads. Beyond the cloud, the group owns Avride, which develops autonomous vehicles and delivery robots, and TripleTen, which teaches technical skills for people changing careers. The publicly listed group is headquartered in Amsterdam, Netherlands.

Company size
1,001-5,000
Company stage
IPO
Headquarters
Amsterdam, Netherlands
Founded
1997

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