Senior Sales Engineer

Responsibilities

• Lead deep technical discovery with engineering teams and technical founders
• Translate customer ambition into production-feasible architectures
• Partner with Sales on strategic deals and influence deal strategy
• Define measurable success criteria for PoCs including latency, throughput, and cost
• Identify recurring configuration patterns and surface insights to Product and Engineering
• Drive structured Go / No-Go decisions for customer workloads

Requirements

• Deep understanding of AI inference systems and GPU-backed infrastructure
• Experience with LLM workloads and performance-sensitive environments
• Experience with inference frameworks like vLLM, SGLang, or TensorRT-LLM
• Ability to reason about latency, throughput, cost, and architecture tradeoffs
• Strong customer presence with engineering-first organizations
• Commercial awareness regarding engineering resource allocation

Preferred Qualifications

• Proficiency in Python
• Experience with Langchain, Langsmith, or smolagents
• Knowledge of FastAPI or Flask
• Experience with Kubernetes, Docker, and Git
• Familiarity with AWS SageMaker, GCP Vertex AI, or Azure ML

About the Company

Nebius is building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment. Headquartered in Amsterdam and listed on Nasdaq, Nebius owns the hard problems across compute, storage, networking, and applied AI.