Nebius Verified

["Cloud Computing","Infrastructure as a Service","Platform as a Service","Software Development"]

Senior Sales Engineer - Token Factory

RemoteRemoteFull TimeSeniorPosted 28 days ago

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Required skills

AI inference platform
developer-native teams
latency- and cost-sensitive workloads
production feasibility validation
scalable architecture
technical rigor
economic viability
customer ambition
engineering reality
commercial growth

Nice to have

Python
vLLM
SGLang
TensorRT-LLM
OpenAI SDKs
Anthropic SDKs

Role summary

We are seeking a Senior Sales Engineer to join our AI inference platform team. You will be a key technical partner to customers, ensuring their AI workloads are scalable, efficient, and aligned with our platform strategy. Responsibilities include leading technical discovery, designing production-feasible architectures, accelerating commercial deals by ensuring technical realism, and validating PoC success criteria. You will identify recurring patterns, surface insights to Product and Engineering, and help evolve platform capabilities. The ideal candidate has deep understanding of AI inference systems, GPU infrastructure, LLM workloads, and performance-sensitive environments, with experience in relevant frameworks and cloud platforms. This role operates remotely from Europe.

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.

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.

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

Equal Opportunity Statement:

Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.

Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.

If you need accommodations during the application process, please let us know.

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