Senior Sales Engineer - Token Factory

Nebius·5 мар.

Senior Sales Engineer - Token Factory

🌍 УдалённоSeniorПолная занятость🌐 Глобал

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Наша компания

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. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.

Чем предстоит заниматься

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

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

Наши требования

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

Мы предлагаем

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

Дополнительно

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

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

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)

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

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

Nebius

ГрейдSenior

ЗанятостьПолная занятость

РегионНе Россия

ФорматУдалённо

ИсточникСкрыто

Опубликовано5 мар.

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