<div class="content-intro"><p><strong>About Nebius:</strong></p> <p>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.</p> <p>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.</p> <p>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.</p></div><h3><strong><span data-contrast="auto">The role</span></strong><span data-ccp-props="{}"> </span></h3> <p>We are building a high-performance AI inference platform for developer-native teams running latency- and cost-sensitive workloads at scale.</p> <p>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.</p> <p>We are looking for a <strong>Senior</strong> <strong>Sales Engineer </strong>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.</p> <p>You will operate at the intersection of customer ambition, engineering reality, and commercial growth, influencing:</p> <ul> <li>Revenue quality</li> <li>Engineering focus</li> <li>Product evolution</li> <li>Customer trust at scale</li> </ul> <p><span data-ccp-props="{"335559685":720,"335559991":360}">You’re welcome to work remotely<strong> </strong>from <strong>Europe.</strong></span></p> <p><strong><span data-ccp-props="{"335559685":720,"335559991":360}"><span class="TextRun MacChromeBold SCXW95146830 BCX0" lang="EN-US" data-contrast="auto"><span class="NormalTextRun SCXW95146830 BCX0" data-ccp-charstyle="Strong">Your responsibilities will include:</span></span><span class="EOP SCXW95146830 BCX0" data-ccp-props="{"134233117":true,"134233118":true}"> </span></span></strong></p> <p><span style="text-decoration: underline;"><strong>Strategic Technical Discovery</strong></span></p> <ul> <li>Lead deep technical discovery with engineering teams and technical founders</li> <li>Understand model requirements, traffic expectations, latency constraints, GPU economics, and system dependencies</li> <li>Translate customer ambition into production-feasible architectures</li> <li>Identify hidden technical risks early</li> </ul> <p><span style="text-decoration: underline;"><strong>Commercial Acceleration</strong></span></p> <ul> <li>Partner tightly with Sales on strategic deals</li> <li>Influence deal strategy through architectural clarity</li> <li>Prevent misaligned commitments before engineering allocation</li> <li>Increase PoC-to-production conversion by ensuring technical realism</li> </ul> <p><span style="text-decoration: underline;"><strong>PoC Architecture & Validation</strong></span></p> <ul> <li>Define measurable success criteria (latency, TTFT, throughput, cost envelope)</li> <li>Classify workload complexity and required optimization depth</li> <li>Align appropriate resources (ML Solution Architects, engineering, GPU capacity, etc.)</li> <li>Drive structured Go / No-Go decisions</li> <li>Prevent uncontrolled customization or hidden R&D</li> </ul> <p><span style="text-decoration: underline;"><strong>Pattern Recognition & Platform Leverage</strong></span></p> <ul> <li>Identify recurring configuration patterns across customers</li> <li>Quantify demand for advanced optimizations (quantization, speculative decoding, etc.)</li> <li>Surface structured insights to Product and Engineering</li> <li>Help evolve platform capabilities based on real workload data</li> </ul> <p><strong><span data-contrast="auto"><span data-ccp-charstyle="Strong">We expect you to have:</span></span><span data-ccp-props="{"134233117":true,"134233118":true}"> </span></strong></p> <ul> <li>Deep understanding of AI inference systems and GPU-backed infrastructure</li> <li>Experience with LLM workloads and performance-sensitive environments</li> <li>Experience with inference frameworks and libraries (e.g., vLLM, SGLang, TensorRT-LLM).</li> <li>Ability to reason about latency, throughput, cost, and architecture tradeoffs</li> <li>Strong customer presence with engineering-first organizations</li> <li>Comfort challenging assumptions and pushing back constructively</li> <li>Commercial awareness – you understand that engineering time is a strategic resource</li> </ul> <p><strong><span data-contrast="auto"><span data-ccp-charstyle="Strong">Preferred