Senior Sales Engineer
Why work at NebiusNebius 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 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 qualityEngineering focusProduct evolutionCustomer trust at scaleYou’re welcome to work remotely from the United States.Your responsibilities will include: Strategic Technical DiscoveryLead deep technical discovery with engineering teams and technical foundersUnderstand model requirements, traffic expectations, latency constraints, GPU economics, and system dependenciesTranslate customer ambition into production-feasible architecture.Identify hidden technical risks earlyCommercial AccelerationPartner tightly with Sales on strategic dealsInfluence deal strategy through architectural clarityPrevent misaligned commitments before engineering allocationIncrease PoC-to-production conversion by ensuring technical realismPoC Architecture & Validation Define measurable success criteria (latency, TTFT, throughput, cost envelope)Classify workload complexity and required optimization depthAlign appropriate resources (ML Solution Architects, engineering, GPU capacity, etc.)Drive structured Go / No-Go decisionsPrevent uncontrolled customization or hidden R&DPattern Recognition & Platform LeverageIdentify recurring configuration patterns across customersQuantify demand for advanced optimizations (quantization, speculative decoding, etc.)Surface structured insights to Product and EngineeringHelp evolve platform capabilities based on real workload dataWe expect you to have: Deep understanding of AI inference systems and GPU-backed infrastructureExperience with LLM workloads and performance-sensitive environmentsExperience with inference frameworks and libraries (e.g., vLLM, SGLang, TensorRT-LLM).Ability to reason about latency, throughput, cost, and architecture tradeoffsStrong customer presence with engineering-first organizationsComfort challenging assumptions and pushing back constructivelyCommercial awareness – you understand that engineering time is a strategic resourcePreferred Technical StackProgramming Languages– PythonFrameworks and Libraries– vLLM, SGLang, TensorRT-LLM, OpenAI/Anthropic SDKsFrameworks for Agentic Pipelines : Langchain / Langsmith / smolagents / equivalentAPI and Web Frameworks– FastAPI, FlaskMLOps and DevOps tools– Kubernetes (K8s), Docker, GitCloud Platforms– AWS (SageMaker, Bedrock), GCP (Vertex AI), Azure (Azure ML)What Success Looks LikeStrategic deals are technically sound before engineering engagementPoCs are clearly scoped and economically justifiedEngineering capacity is allocated predictablyConversion to production improvesCustomers view you as a trusted architectural advisorKey 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.CompensationWe offer competitive salaries, ranging from $152k - 228k base + RSU's and performance bonus's.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!