Senior Sales Engineer - Token Factory

About the Position

We are looking for a Senior Sales Engineer to join our team at Nebius, a leader in cloud infrastructure for the global AI economy. You will play a crucial role in shaping complex AI workloads from initial discovery through to production feasibility validation, ensuring technical rigor, economic viability, and scalable architecture decisions.

About the Company

Nebius is at the forefront of building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment. Our platform is designed to eliminate the cost and complexity of building large in-house AI/ML infrastructure. With a global footprint and R&D hubs across Europe, the UK, North America, and Israel, we have a team of 1,500+ engineers with deep expertise in hardware, software, and AI R&D.

Responsibilities

• Strategic Technical Discovery

  • 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.

• Commercial Acceleration

  • 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.

• PoC Architecture & Validation

  • 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.

• Pattern Recognition & Platform Leverage

  • 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.

Requirements

• 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.

Preferred Technical Stack

• Programming Languages: Python
• Frameworks and Libraries: vLLM, SGLang, TensorRT-LLM, OpenAI/Anthropic SDKs
• Frameworks for Agentic Pipelines: Langchain / Langsmith / smolagents / equivalent
• API and Web Frameworks: FastAPI, Flask
• MLOps and DevOps tools: Kubernetes (K8s), Docker, Git
• Cloud Platforms: AWS (SageMaker, Bedrock), GCP (Vertex AI), Azure (Azure ML)

We Offer

• 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

About Working at Nebius

• Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI

Equal Opportunity Statement

Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.

Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.

If you need accommodations during the application process, please let us know.

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