{"id":2243634,"url":"https://alion.io/job/nebius-senior-technical-product-manager-ai-compute-platform","title":"Senior Technical Product Manager - AI Compute Platform","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":{"grade":"A","score":85,"open_postings":110,"ghost_share":0,"stale_share":0.618,"repost_share":0,"time_to_fill_p50_days":59,"computed_at":"2026-10-24T06:02:35Z"}},"role":"Product","role_family":"Product","seniority":"senior","employment_type":null,"work_mode":"remote","remote_scope":"stated_regions","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":["Amsterdam, Netherlands"],"countries":["NL"],"hiring_countries":["DE","FR","GB","AT","BE","BG","HR","CZ","DK","FI","HU","IE","IT","NL","NO","PL","RO","ES","SE","CH","EE","GR","IS","LV","LI","LT","LU","MT","PT","SK","SI"],"hiring_countries_total":31,"salary":null,"salary_estimate":{"min_usd":130000,"max_usd":287000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":4091},"experience_years_min":6,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"HPC","optional":false},{"name":"IAM","optional":false},{"name":"InfiniBand","optional":false},{"name":"Kubernetes","optional":false},{"name":"NCCL","optional":false},{"name":"NVLink","optional":false},{"name":"Platform Engineering","optional":false},{"name":"SLURM","optional":false},{"name":"AWS","optional":true},{"name":"Azure","optional":true},{"name":"Cloudflare","optional":true},{"name":"CUDA","optional":true},{"name":"Datadog","optional":true},{"name":"GCP","optional":true},{"name":"Grafana","optional":true},{"name":"Honeycomb","optional":true},{"name":"New Relic","optional":true},{"name":"Ray","optional":true},{"name":"SGLang","optional":true},{"name":"Supabase","optional":true},{"name":"Vercel","optional":true},{"name":"vLLM","optional":true}],"status":"live","first_seen_at":"2026-06-17T10:23:57Z","employer_posted_date":"2026-10-13","last_verified_at":"2026-10-24T04:45:57Z","board_verified":true,"closed_at":null,"days_open":128,"trust":{"level":"ok","repost_count":0,"flags":[],"days_open":128},"description":"About Nebius:\nNebius 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.\nBuilt by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.\nListed 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.\nThe role:\nOur customers build the frontier of AI on top of Nebius - training state-of-the-art models, running production inference at scale, shipping the research and products that define where the field is going next.\nWe are building the AI cloud that the people building the frontier of AI choose deliberately - not on price, not on raw capacity, but on how it works to use it day to day. To do that, we are growing the AI Compute Platform product team and hiring multiple Technical Product Managers across the full surface of the platform.\nYour scope will be defined by what you bring. We will match your technical strengths, customer experience, and product instincts to the area of the platform where you can have the most impact. The platform is broad - and at our scale, every slice is mission-critical.\nIf you want to help build the best AI cloud in the world - and you have the technical depth to engage engineering leaders as a peer (not as a translator) and the comfort to talk to customers directly - this team is for you.\nThe platform you'll help build:\nHardware platforms & launch - bringing new GPU and CPU platforms (GB300, Vera Rubin, ARM/Grace, future generations) to production with full launch readiness across the stack.\nCluster lifecycle & fleet operations - new region launches, 100,000+ GPU cluster bring-up, platform sharding and allocation architecture, release engineering, host-lifecycle automation, operational efficiency.\nReliability & Mission Control - autohealing, health checks, SLA, fault-tolerant training, MTTR reduction, customer trust at scale, observability as a product.\nCustomer experience & developer surface - Compute APIs, console, CLI, IMDS and in-VM signals, self-service workflows, notifications, customer-facing observability, unified UX across the product line.\nGPU & InfiniBand foundational services - drivers, firmware, NCCL, IB/RoCE, NVLink topology, the foundational layer everything else builds on.\nManaged runtime platforms - Soperator (Slurm-on-Kubernetes) and MK8S (Managed Kubernetes for AI workloads), powering training and inference for frontier labs.\nPlatform integrations & emerging workloads - Token Factory integration, RL and agentic workload infrastructure, capacity sharing, new business surfaces as they emerge.\nCross-platform program & delivery - NVIDIA partnership programs, major-maintenance orchestration, cross-stream releases.\nYou will own one of the slices of this platform end-to-end - from strategy and roadmap through delivery, adoption, and measurable outcomes.\nYour responsibilities will include (regardless of which slice you own):\nOwn end-to-end product responsibility for your area - strategy, roadmap, discovery, delivery, adoption, measurable customer and platform outcomes.\nDesign and own the platform contracts customers depend on - APIs, semantics, system events, customer-facing surfaces, operational behavior - at hyperscaler quality.\nDrive cross-team execution across platform engineering, networking, storage, Soperator/MK8S, observability, IAM, billing, capacity planning, support, and product design.\nTurn customer pain into product commitments through structured discovery - interviews, usage analytics, support patterns, incident postmortems. Close the loop so the same class of failure or friction does not recur.\nEngage engineering as a technical peer - debate API design, reason about system trade-offs, judge the quality of platform internals, and push back when the design is wrong.\nDefine and own success metrics - what you ship is measured by what changed for the customer or the platform, not by the size of the spec.\nBe the product voice that customer-facing teams (Support, CX, TAMs) escalate to when a system behavior, API contract, or operational pattern needs a product decision, not a workaround.\nWe expect you to have:\n6+ years in Product Management, Platform PM, Infrastructure PM, or SRE / Engineering Lead with strong product instincts.\nStrong technical foundation and cloud-infrastructure depth - comfort reasoning about API semantics, control-plane vs data-plane behavior, system events and lifecycle, multi-tenant operational realities. You can engage engineering leaders as a peer, not as a translator.\nExperience with cloud, GPU, or HPC infrastructure - either building one or operating one at meaningful scale (thousands of nodes, multi-region, multi-tenant).\nTrack record of shipping technically complex platform products with measurable customer or platform impact - quantitative results, not aspirational bullets.\nStrong analytical skills: comfort defining and instrumenting product metrics, working with telemetry, building data-informed roadmaps.\nExperience leading discovery-heavy work - structured customer interviews, usage analytics, support-ticket analysis - and turning insights into shipped product.\nStrong communication and ability to align engineering, SRE, customer-facing teams, and exec stakeholders.\nHigh ownership, bias to ship, comfort with messy operational reality, and the instinct to push back on engineering when the customer experience or platform quality would suffer.\nIt will be an added bonus if you have (these are not all required - different strengths fit different slices of the platform):\nCustomer-facing experience and lived-it perspective:\nDirect PM experience with frontier AI customers - ML platform teams, MLOps engineers, training and inference at scale.\nFamiliarity with Kubernetes, Slurm, or HPC environments from the user side, and ML training workflows.\nHands-on experience with ML training and inference workflows - especially distributed training at scale (multi-node, multi-GPU; comfort with checkpointing, NCCL, fault-tolerant training, debugging large training jobs).\nExperience as a customer of AI cloud infrastructure at large scale - especially as part of an internal ML platform team that built and operated infrastructure for ML engineers inside your own company. If you have lived through what frustrates customers about clouds, you will know exactly what we are trying to fix.\nHardware, GPU, and HPC depth:\nDirect experience with NVIDIA reference architectures (NVL72, SuperPOD, MGX, DGX) and the NVIDIA stack (drivers, CUDA, NCCL, DCGM).\nFamiliarity with InfiniBand / RoCE fabrics, firmware lifecycle, topology-aware scheduling.\nHands-on with GPU clusters or HPC fabrics at thousands-of-nodes scale.\nCluster and fleet operations:\nBackground in Kubernetes lifecycle (CAPI, cluster upgrades, node-pool management) or Slurm at scale.\nExperience launching new cloud regions or data-center bring-ups end-to-end.\nBackground in release engineering, change management, or major-maintenance orchestration in production environments.\nCustomer experience and developer surface:\nExposure to console / CLI / API design at hyperscaler quality - AWS, GCP, Azure depth on consistency, versioning, idempotency, error semantics, deprecation policy.\nBackground in observability product - Grafana, Datadog, Honeycomb, New Relic.\nKnowledge of customer trust artefacts - status pages, RCA workflows, audit logs, SLA reporting, maintenance notifications.\nFamiliarity with developer-experience product patterns - Stripe, Cloudflare, Vercel, Supabase, Render.\nReliability and operational outcomes:\nBackground in SRE, reliability engineering, or fault-tolerant systems for paying customers.\nFamiliarity with reliability metrics that matter: Goodput, MFU, MTTR, MTBF.\nExperience with autohealing systems and graceful failure semantics.\nEmerging workloads and integrations:\nFamiliarity with RL / agentic / inference workload patterns - vLLM, SGLang, Ray, Token Factory-style serving, sandbox technologies (Firecracker, gVisor, Kata).\nExperience with multi-product cloud integrations - capacity sharing, billing models, cross-product packaging.\nBackground in pricing strategy for infrastructure products (reserved / on-demand / preemptible tiers, two-part pricing).\nBenefits & Perks:\nCompetitive compensation\nCareer growth and learning opportunities\nFlexibility and ownership\nCollaborative and innovative culture\nOpportunity to work on impactful AI projects\nInternational environment and talented teams\nWhat's it like to work at Nebius:\nFast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI \nEqual Opportunity Statement:\nNebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.\nApplicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. \nIf you need accommodations during the application process, please let us know.","description_format":"text","description_chars":9819,"description_truncated":false,"requirements":{"experience_years_min":6,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"Germany","iso":"DE","kind":"region"},{"name":"France","iso":"FR","kind":"region"},{"name":"United Kingdom","iso":"GB","kind":"region"},{"name":"Austria","iso":"AT","kind":"region"},{"name":"Belgium","iso":"BE","kind":"region"},{"name":"Bulgaria","iso":"BG","kind":"region"},{"name":"Croatia","iso":"HR","kind":"region"},{"name":"Czech Republic","iso":"CZ","kind":"region"},{"name":"Denmark","iso":"DK","kind":"region"},{"name":"Finland","iso":"FI","kind":"region"},{"name":"Hungary","iso":"HU","kind":"region"},{"name":"Ireland","iso":"IE","kind":"region"},{"name":"Italy","iso":"IT","kind":"region"},{"name":"Netherlands","iso":"NL","kind":"country"},{"name":"Norway","iso":"NO","kind":"region"},{"name":"Poland","iso":"PL","kind":"region"},{"name":"Romania","iso":"RO","kind":"region"},{"name":"Spain","iso":"ES","kind":"region"},{"name":"Sweden","iso":"SE","kind":"region"},{"name":"Switzerland","iso":"CH","kind":"region"},{"name":"Estonia","iso":"EE","kind":"region"},{"name":"Greece","iso":"GR","kind":"region"},{"name":"Iceland","iso":"IS","kind":"region"},{"name":"Latvia","iso":"LV","kind":"region"},{"name":"Liechtenstein","iso":"LI","kind":"region"},{"name":"Lithuania","iso":"LT","kind":"region"},{"name":"Luxembourg","iso":"LU","kind":"region"},{"name":"Malta","iso":"MT","kind":"region"},{"name":"Portugal","iso":"PT","kind":"region"},{"name":"Slovakia","iso":"SK","kind":"region"},{"name":"Slovenia","iso":"SI","kind":"region"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Artificial Intelligence","Data Centers & Colocation","Cloud Platforms (IaaS & PaaS)","AI Compute & Inference"],"lifecycle":[{"event":"open","at":"2026-10-11T01:05:42Z"}],"visa":[],"liveness":{"score":12,"band":"cold","label":"Long shot","p_open":1,"p_active":0.43,"p_room":0.28,"age_days":128,"expected_fill_days":59,"reasons":["conf:1","stale_co","velocity","win:tail","crowd:brand"],"computed_at":"2026-10-24T06:02:35Z"},"pay":null,"html_url":"https://alion.io/job/nebius-senior-technical-product-manager-ai-compute-platform","json_url":"https://alion.io/job/nebius-senior-technical-product-manager-ai-compute-platform.json","meta":{"generated_at":"2026-10-24T07:01:19Z","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":10373,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-25T00:00:00Z"}},"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-technical-product-manager-ai-compute-platform"},{"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-technical-product-manager-ai-compute-platform"},{"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-technical-product-manager-ai-compute-platform"},{"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-technical-product-manager-ai-compute-platform\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fnebius-senior-technical-product-manager-ai-compute-platform"}]}