Jobs at Nebius

Own complex accounts payable activities, resolve escalations and vendor disputes, support month-end close and reconciliations, maintain AP controls, and assist with audits. Serve as a senior stakeholder contact, mentor junior accountants, and contribute operational expertise to continuous improvement initiatives across multi-currency, multi-entity environments.

Lead cross-functional programs that expand AI infrastructure through asset-light partnerships. Develop commercial frameworks, term sheets, business cases, and contractual structures; coordinate Finance, Legal, commercial, technical, and operational stakeholders; assess financial and commercial trade-offs; prepare recommendations for senior leaders; and establish repeatable partnership processes. This individual contributor role requires influencing without formal authority and driving complex initiatives from strategy through negotiation and implementation.

Owns end-to-end product and commercial analytics for an AI cloud platform, including metric definition, customer health, capacity forecasting, utilization, pricing, packaging, segmentation, and monetization. Analyzes large-scale customer and usage datasets, builds production-ready data solutions, and delivers recommendations across Product, Engineering, Finance, Sales, and Operations. The role requires strong Python, SQL, statistics, commercial judgment, and familiarity with consumption-based technical products.

Manages commercial strategy, negotiation, administration, risk, cost control, claims, changes, supplier performance, delivery milestones, and closeout for high-value OFCI equipment contracts supporting data center projects. Partners with procurement, legal, finance, tax, insurance, and project teams while maintaining contract governance, payment controls, and auditable records.

Own the strategy, roadmap, outcomes, launch, and adoption of a core AI inference platform stream. Align engineering and research teams across APIs, routing, performance, reliability, and enterprise features. Partner with customers through research and proofs of concept, assess inference markets and economics, and translate customer and industry insights into scalable, reliable, cost-efficient product capabilities.

Own the anti-fraud product roadmap across signup, payments, account protection, compute-abuse prevention, risk scoring, manual review, customer verification, and appeals. Partner with Trust & Safety, Engineering, Data Science, Analytics, and Legal to define detection rules, models, incident responses, experiments, and compliance processes. Monitor fraud losses, chargebacks, false positives, review throughput, and detection speed while minimizing customer friction.

Serve as the technical partner interface to design, build, and maintain integrations and reference implementations between Nebius and strategic partners. Architect enterprise-ready solutions for GPU-accelerated AI/ML workflows, enable partner teams with docs and demos, influence product roadmap, and provide technical leadership for complex joint deployments and troubleshooting.

Owns Nebius’s global third-party logistics warehouse network and partner performance. Manages contracts, SLAs, operational standards, inventory accuracy, audits, compliance, costs, incident resolution, onboarding, exits, and continuous improvement across external warehouses. Coordinates with logistics, transport, planning, IT, security, procurement, legal, and project teams while leading 3PL specialists and conducting regular site visits.

Develop and deploy machine learning models for retrieval, reranking, indexing, search relevance, crawling, and content understanding. Build large-scale embedding and retrieval systems, evaluation pipelines, and quality metrics for agent-native search. Integrate models into high-throughput production services while balancing latency, quality, and cost. Collaborate on architecture and product decisions involving search, retrieval, and LLM-based systems.

Design and implement large-scale browser-based rendering infrastructure to execute and extract structured content from JS-heavy web apps. Improve rendering quality, performance, cost, and throughput at internet scale and productionize rendering research.

Lead applied research and system design for agent-native search: build multi-stage retrieval, ranking, and grounding methods for LLM-driven, iterative agent workflows; deploy high-throughput, low-latency production systems; define evaluation metrics; run experiments and mentor engineers.

Own the vision, roadmap, and backlog for commercial agreements and pricing mechanics in Nebius’s billing platform. Design billing capabilities, develop revenue-driving pricing models, productize recurring enterprise deal patterns, and partner with Sales, Finance, Legal, Operations, and Engineering. Lead discovery, requirements, delivery, documentation, enablement, and success metrics while modeling revenue and margin impacts.

Lead the global employee relations and performance management strategy, including policies, governance, complex case oversight, investigations, disciplinary and grievance processes, and organizational change consultation. Build effective works council and employee representative relationships, manage employment-law and reputational risks, advise senior leaders, strengthen manager capability, and use case data to identify trends and improve organizational practices.

Lead a Platform Experience product group to define vision, strategy, and metrics; manage and grow PMs; create a consistent API-first developer experience across CLI, SDKs, Terraform and docs; reduce time-to-first-value from PoC to production; evolve quotas, capacity and multi-tenant resource models; and unify customer notifications and communications.

Develop and optimize GPU clusters and InfiniBand networks for hyperscale HPC environments. Responsibilities include troubleshooting hardware and infrastructure issues, integrating new GPUs through Kubernetes, QEMU, and KVM, managing GPU devices and InfiniBand fabrics, tuning performance, and improving automated monitoring and fault resolution.

Own production optimization of LLM and VLM inference systems, improving latency, throughput, memory efficiency, GPU utilization, quality, reliability, and cost. Deploy and benchmark inference engines, build compression and quantization workflows, implement acceleration techniques, diagnose serving bottlenecks, and collaborate with kernel, platform, research, product, and customer teams.

Leads compensation programs, including salary structures, job classification, market pricing, pay equity analysis, merit and bonus cycles, financial modeling, policies, reporting, and HRIS data integrity. Partners with senior HR and Finance leaders, presents compensation recommendations, develops stakeholder training, interprets regulatory changes, and drives workflow standardization and automation.

Own end-to-end infrastructure delivery for strategic physical AI customers, from discovery and architecture through production rollout. Build cloud compute orchestration, platform services, onboarding environments, observability, security, and cost controls for simulation, training, inference, and batch workloads. Debug across infrastructure layers, productize recurring customer needs, and shape the physical AI platform roadmap. Partner with customers, Field CTO, Product, and Engineering while using AI coding tools to accelerate production engineering.

Own the design, delivery, and operation of complex data pipelines, datasets, and platform components. Translate business needs into scalable data models and reliable data products, improve data quality and observability, resolve production issues, and establish reusable engineering tools and standards. Collaborate with product and business stakeholders, contribute to architecture decisions, mentor engineers, and participate in on-call support.

Own and administer Nebius’s identity and access environment, centered on Microsoft Entra ID and Microsoft 365, with supporting Google Cloud identity services. Manage authentication, conditional access, application integrations, provisioning, lifecycle automation, privileged access, licensing, and governance. Troubleshoot identity incidents, SAML/OIDC/SCIM failures, and Microsoft 365 access issues. Build production-grade PowerShell and cloud workflow automation with logging, retries, documentation, and secure credential management.