# Senior Sales Engineer - Token Factory

**Company**: Nebius
**Location**: Remote - Europe
**Work arrangement**: remote
**Experience**: senior
**Job type**: full-time
**Category**: Engineering
**Industry**: Technology

**Apply**: https://job-boards.greenhouse.io/nebius/jobs/5000526101?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_321040d1-900

## Description

We are building a high-performance AI inference platform for developer-native teams running latency- and cost-sensitive workloads at scale.

As a Senior Sales Engineer, you will shape complex AI workloads from first discovery through production feasibility validation, ensuring technical rigor, economic viability, and scalable architecture decisions.

Your responsibilities will include:

- 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.

- Commercial Acceleration: Partner tightly with Sales on strategic deals, influence deal strategy through architectural clarity, prevent misaligned commitments before engineering allocation.

- PoC Architecture & Validation: Define measurable success criteria, classify workload complexity and required optimization depth, align appropriate resources, drive structured Go / No-Go decisions.

- Pattern Recognition & Platform Leverage: Identify recurring configuration patterns across customers, quantify demand for advanced optimizations, surface structured insights to Product and Engineering.

We expect you to have:

- 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

Benefits & Perks:

- 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

## Skills

### Required
- AI inference systems
- GPU-backed infrastructure
- LLM workloads
- inference frameworks
- libraries (e.g., vLLM, SGLang, TensorRT-LLM)
- Python
- Kubernetes (K8s)
- Docker
- Git

### Nice to have
- vLLM
- SGLang
- TensorRT-LLM
- OpenAI/Anthropic SDKs
- Langchain / Langsmith / smolagents
- FastAPI
- Flask
- AWS (SageMaker, Bedrock)
- GCP (Vertex AI)
- Azure (Azure ML)

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/nebius/jobs/5000526101?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)