Senior Sales Engineer - Token Factory

Nebius Group; Amsterdam; Remote; EUR 120,000 - 160,000; Full time

Benefits offered by this job

Competitive compensation

Career growth

Flexibility and ownership

Collaborative and innovative culture

Impactful AI projects

International environment

Job summary

Nebius is building a high-performance AI inference platform and seeks a Senior Sales Engineer to shape complex AI workloads from discovery through production feasibility. You will partner with Sales and Engineering to ensure technical realism, economic viability, and scalable architecture decisions, with the option to work remotely from Europe.

You will lead strategic technical discovery, drive commercial acceleration, and influence product evolution, while managing PoC architecture and

Qualifications

• Deep knowledge of AI inference systems and GPU-backed infrastructure.
• Experience with LLM workloads in performance-sensitive environments.
• Experience with inference frameworks and libraries (e.g., vLLM, SGLang, TensorRT-LLM).

Responsibilities

• Lead strategic technical discovery with engineering teams and founders.
• Drive commercial acceleration and align architectural outcomes with deal strategy.
• Define PoC architecture, success criteria, and validate production feasibility.
• Identify recurring patterns and surface insights to product and engineering teams.

Skills

AI inference knowledge

Customer-facing communication

Strategic technical discovery

Problem solving

Tools

vLLM

SGLang

TensorRT-LLM

OpenAI SDKs

Anthropic SDKs

Kubernetes

Docker

FastAPI

Langchain

Job description

About Nebius:

Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.

Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.

Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.

Senior Sales Engineer - Token Factory

The role

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

In AI infrastructure, PoC success does not guarantee production success. This role ensures that what we commit to is scalable, efficient, and aligned with platform strategy.

We are looking for a Senior Sales Engineer to become a foundational technical partner to our customers and a force multiplier for Sales and Engineering. You will shape complex AI workloads from first discovery through production feasibility validation, ensuring technical rigor, economic viability, and scalable architecture decisions.

You will operate at the intersection of customer ambition, engineering reality, and commercial growth, influencing:

• Revenue quality
• Engineering focus
• Product evolution
• Customer trust at scale

You’re welcome to work remotely from Europe.

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
• Translate customer ambition into production-feasible architectures
• Identify hidden technical risks early

Commercial Acceleration

• 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

PoC Architecture & Validation

• 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

Pattern Recognition & Platform Leverage

• 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

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

Preferred technical stack:

• 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)

What success looks like:

• Strategic deals are technically sound before engineering engagement
• PoCs are clearly scoped and economically justified
• Engineering capacity is allocated predictably
• Conversion to production improves
• Customers view you as a trusted architectural advisor

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

What's it like to work at Nebius:

Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI