Senior Sales Engineer

Nebius Group; United States; Remote; USD 140,000 - 210,000; Full time

Job summary

Nebius is building a high-performance AI inference platform and seeks a Senior Sales Engineer to act as a technical partner to customers, shaping workloads from discovery to feasibility validation. You will ensure technical rigor, economic viability, and scalable architecture decisions in collaboration with Sales and Engineering.

You'll work at the intersection of customer goals and engineering realities, influencing platform evolution while supporting strategic deals and go-to-market

Qualifications

• 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).

Responsibilities

• Lead deep technical discovery with engineering teams and technical founders.
• 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.
• 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 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.

Skills

AI inference

LLM workloads

Inference frameworks

Performance tradeoffs

Customer presence

Commercial awareness

Tools

vLLM

SGLang

TensorRT-LLM

OpenAI SDKs

Langchain

Job description

Why work at Nebius

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. Where we workHeadquartered 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 800 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'll shape complex AI workloads from first discovery through production feasibility validation, ensuring technical rigor, economic viability, and scalable architecture decisions. You'll 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 remotelyfrom 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)