{"id":1769785,"url":"https://alion.io/job/nebius-senior-sales-engineer","title":"Senior Sales Engineer","company":{"id":6364,"name":"Nebius","domain":"nebius.com","url":"https://alion.io/company/nebius","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":null},"role":"Solutions","role_family":"Solutions","seniority":"senior","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"inferred_payroll_markers","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":[],"countries":[],"hiring_countries":["US"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":145000,"max_usd":296000,"period":"year","method":"global_role_seniority_cell","sample_n":1530},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Go","optional":false},{"name":"LLM","optional":false},{"name":"PoC Library","optional":false},{"name":"Quantization","optional":false},{"name":"SGLang","optional":false},{"name":"Speculative Decoding","optional":false},{"name":"TensorRT-LLM","optional":false},{"name":"vLLM","optional":false},{"name":"AI Agents","optional":true},{"name":"Amazon SageMaker","optional":true},{"name":"Anthropic","optional":true},{"name":"AWS","optional":true},{"name":"AWS Bedrock","optional":true},{"name":"Azure","optional":true},{"name":"Docker","optional":true},{"name":"FastAPI","optional":true},{"name":"Flask","optional":true},{"name":"GCP","optional":true},{"name":"Git","optional":true},{"name":"Kubernetes","optional":true},{"name":"LangChain","optional":true},{"name":"LangSmith","optional":true},{"name":"OpenAI","optional":true},{"name":"Python","optional":true},{"name":"smolagents","optional":true},{"name":"TensorRT","optional":true},{"name":"Vertex AI","optional":true}],"status":"live","first_seen_at":"2026-10-03T11:36:49Z","employer_posted_date":null,"last_verified_at":"2026-10-03T11:36:49Z","board_verified":false,"closed_at":null,"days_open":8,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":8},"description":"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.\n\nWhere 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.\n\nThe roleWe are building a high-performance AI inference platform for developer-native teams running latency- and cost-sensitive workloads at scale.\nIn 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.\nWe 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.\nYou will operate at the intersection of customer ambition, engineering reality, and commercial growth, influencing:\n\nRevenue quality\n\nEngineering focus\n\nProduct evolution\n\nCustomer trust at scale\n\nYou’re welcome to work remotelyfrom Europe.\nYour responsibilities will include:Strategic Technical Discovery\nLead deep technical discovery with engineering teams and technical founders\n\nUnderstand model requirements, traffic expectations, latency constraints, GPU economics, and system dependencies\n\nTranslate customer ambition into production-feasible architectures\n\nIdentify hidden technical risks early\n\nCommercial Acceleration\nPartner tightly with Sales on strategic deals\n\nInfluence deal strategy through architectural clarity\n\nPrevent misaligned commitments before engineering allocation\n\nIncrease PoC-to-production conversion by ensuring technical realism\n\nPoC Architecture & Validation\nDefine measurable success criteria (latency, TTFT, throughput, cost envelope)\n\nClassify workload complexity and required optimization depth\n\nAlign appropriate resources (ML Solution Architects, engineering, GPU capacity, etc.)\n\nDrive structured Go / No-Go decisions\n\nPrevent uncontrolled customization or hidden R&D\n\nPattern Recognition & Platform Leverage\nIdentify recurring configuration patterns across customers\n\nQuantify demand for advanced optimizations (quantization, speculative decoding, etc.)\n\nSurface structured insights to Product and Engineering\n\nHelp evolve platform capabilities based on real workload data\n\nWe expect you to have:\nDeep understanding of AI inference systems and GPU-backed infrastructure\n\nExperience with LLM workloads and performance-sensitive environments\n\nExperience with inference frameworks and libraries (e.g., vLLM, SGLang, TensorRT-LLM).\n\nAbility to reason about latency, throughput, cost, and architecture tradeoffs\n\nStrong customer presence with engineering-first organizations\n\nComfort challenging assumptions and pushing back constructively\n\nCommercial awareness – you understand that engineering time is a strategic resource\n\nPreferred technical stack:\nProgramming Languages– Python\n\nFrameworks and Libraries– vLLM, SGLang, TensorRT-LLM, OpenAI/Anthropic SDKs\n\nFrameworks for Agentic Pipelines : Langchain / Langsmith / smolagents / equivalent\n\nAPI and Web Frameworks– FastAPI, Flask\n\nMLOps and DevOps tools– Kubernetes (K8s), Docker, Git\n\nCloud Platforms– AWS (SageMaker, Bedrock), GCP (Vertex AI), Azure (Azure ML)\n\nWhat success looks like:\nStrategic deals are technically sound before engineering engagement\n\nPoCs are clearly scoped and economically justified\n\nEngineering capacity is allocated predictably\n\nConversion to production improves\n\nCustomers view you as a trusted architectural advisor\n\nWhat we offer\n\nCompetitive salary and comprehensive benefits package.\n\nOpportunities for professional growth within Nebius.\n\nFlexible working arrangements.\n\nA dynamic and collaborative work environment that values initiative and innovation.\n\nWe’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!\n\nOriginally posted on Himalayas","description_format":"text","description_chars":4585,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Flexible schedule"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Artificial Intelligence","Commerce","Education","Data Centers & Colocation"],"lifecycle":[{"event":"open","at":"2026-10-03T15:02:53Z"}],"visa":[],"liveness":{"score":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.9,"p_room":1,"age_days":6,"expected_fill_days":29,"reasons":["seen:6","velocity","win:early"],"computed_at":"2026-10-10T05:45:15Z"},"pay":null,"html_url":"https://alion.io/job/nebius-senior-sales-engineer","json_url":"https://alion.io/job/nebius-senior-sales-engineer.json","meta":{"generated_at":"2026-10-12T06:16:14Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":10068,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-13T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":6364},"rest":"https://alion.io/mcp/rest/get_company?id=6364"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fnebius-senior-sales-engineer"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fnebius-senior-sales-engineer"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fnebius-senior-sales-engineer"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/nebius-senior-sales-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fnebius-senior-sales-engineer"}]}