Senior Sales Engineer – Token Factory

Job not on LinkedIn

🔥 12 minutes ago

🇪🇺 Europe – Remote

⏰ Full Time

🟠 Senior

💸 Sales Engineer

👻 Ghost score 25%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Nebius Group

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

🤖 Artificial Intelligence

🏢 Enterprise

☁️ SaaS

Artificial Intelligence • Enterprise • SaaS

Nebius Group is building one of the world’s leading AI infrastructure companies, focusing on providing the necessary compute, storage, and tools for developers in the AI space. Based in Europe and listed on Nasdaq, Nebius has a global presence with R&D centers across Europe, North America, and Israel. The company's primary offering is an AI-centric cloud platform designed for intensive AI workloads, complemented by various other businesses involved in generative AI development, edtech, and autonomous technology.

📋 Description

• 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 with Sales on strategic deals • Influence deal strategy through architectural clarity • Prevent misaligned commitments before engineering allocation • Increase PoC-to-production conversion through technical realism • Define measurable success criteria including latency, TTFT, throughput, and cost envelope • Classify workload complexity and required optimization depth • Align ML Solution Architects, engineering, GPU capacity, and other resources • Drive structured Go/No-Go decisions • Prevent uncontrolled customization or hidden R&D • 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

🎯 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 – understanding that engineering time is a strategic resource • Programming experience with Python • Experience with vLLM, SGLang, TensorRT-LLM, OpenAI/Anthropic SDKs • Experience with LangChain, LangSmith, smolagents, or equivalent agentic pipeline frameworks • Experience with FastAPI or Flask • Experience with Kubernetes, Docker, and Git • Experience with AWS (SageMaker, Bedrock), GCP (Vertex AI), or Azure (Azure ML) • Must be authorized to work in the country in which they apply and provide proof of employment eligibility

🏖️ 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