Senior Sales Engineer – Token Factory
Posted 3hrs ago
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Job Description
Senior Sales Engineer guiding customer AI inference workloads from discovery through production validation. Shaping scalable architectures for Nebius’s cloud infrastructure platform.
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 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
















