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Senior Sales Engineer - Token Factory jobs in United States
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Nebius · 2 weeks ago

Senior Sales Engineer - Token Factory

Nebius is leading a new era in cloud infrastructure for the global AI economy. They are seeking a Senior Sales Engineer to become a foundational technical partner to customers, ensuring scalable and efficient AI workloads from discovery to production feasibility validation.
Computer Software
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Growth Opportunities
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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

Qualification

AI inference systemsGPU infrastructureLLM workloadsInference frameworksVLLMSGLangTensorRT-LLMPythonLangchainLangsmithSmolagentsFastAPIFlaskKubernetesDockerGitAWS SageMakerAWS BedrockGCP Vertex AIAzure MLCustomer presenceConstructive challenge

Required

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

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)

Benefits

Competitive compensation
Career growth and learning opportunities
Flexibility and work-life balance
Collaborative and innovative culture
Opportunity to work on impactful AI projects
International environment and talented teams

Company

Nebius

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The Nebius AI Cloud brings powerful full-stack infrastructure for AI developers and practitioners across startups, enterprises and science institutes to build and deploy generative AI applications and rapidly deliver scientific breakthroughs by training and running ML models within a secure, high-performance, and cost-optimized cloud environment.

Funding

Current Stage
Late Stage
Company data provided by crunchbase