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 always guarantee production success. This role exists to ensure that what we commit to with customers 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 the United States.

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 architecture.

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

Key employee benefits in the US:

Health insurance: 100% company-paid medical, dental, and vision coverage for employees and families.

401(k) plan: Up to 4% company match with immediate vesting.

Parental leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers.

Remote work reimbursement: Up to $85/month for mobile and internet.

Disability & life insurance: Company-paid short-term, long-term and life insurance coverage.

Pay Transparency

We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law.

Compensation Range

$180,000—$260,000 USD

Benefits & Perks:

Competitive compensation

Career growth and learning opportunities

Flexibility and work-life balance

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.