Where we work
Nebius is leading a new era in cloud computing to serve the global AI economy. We create the tools and resources our customers need to solve real-world challenges and transform industries, without massive infrastructure costs or the need to build large in-house AI/ML teams. Our employees work at the cutting edge of AI cloud infrastructure alongside some of the most experienced and innovative leaders and engineers in the field.
Headquartered in Amsterdam and listed on Nasdaq, Nebius has a global footprint with R&D hubs across Europe, North America, and Israel. The team of over 1400 employees includes more than 400 highly skilled engineers with deep expertise across hardware and software engineering, as well as an in-house AI R&D team.
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:
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
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
Define measurable success criteria (latency, TTFT, throughput, cost envelope)
Classify workload complexity and required optimization depth
Prevent uncontrolled customization or hidden R&D
Pattern Recognition & Platform Leverage
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
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
What we offer
Competitive salary and comprehensive benefits package.
Opportunities for professional growth within Nebius.
Flexible working arrangements.
A dynamic and collaborative work environment that values initiative and innovation.
We’re growing and expanding our products every day. If you’re up to the challenge and are excited about AI and ML as much as we are, join us!
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