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About Nebius : 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. 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. 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. The role We are looking for an Instructional Designer to join our Nebius Academy team. In this position, you will be responsible for developing courses on Nebius AI Cloud for different target audiences. Nebius Academy is an international online learning platform that helps individuals and teams master AI and cloud technologies. We offer hands-on, industry-relevant training for both B2C and B2B audiences, combining technical expertise with real-world application to deliver impactful, scalable learning experiences. Please note that after applying for this position, you will be required to complete a test assignment. Your responsibilities will include: • Participate in learning needs analysis and high-level course design with the Product Manager and SME. • Map learning outcomes for the whole course and for each module and lesson. • Translate SME materials into clear, learner-friendly educational content. • Design practice exercises and learning aids. • Collaborate with the production team to create visual content. • Audit existing courses for cognitive load, difficulty, and alignment with goals. • Work with student feedback and SME recommendations for continuous improvement. • Adapt course materials for different target audiences (onboarding, certification, etc.). • Maintain a backlog of improvements and keep course documentation up to date. We expect you to have: • At least 3 years of experience as an Instructional Designer or similar role. • Proven experience working with technical topics (software engineering, data science, etc.). • Deep knowledge of digital learning design frameworks and principles. • Ability to develop various educational content forms (long reads, video, assessments). • Proficiency in modern tools such as Figma, HeyGen, and Supademo. • Proficiency in leveraging AI tools such as ChatGPT to support content creation, research, and instructional design, while applying appropriate critical review and quality control. • High level of English proficiency. It will be an added bonus if you have: • Experience with customer education and software instructions. • Experience with certification programs (AWS, Google Cloud, Azure). Benefits & Perks: • Competitive compensation • Career growth and learning opportunities • Flexibility and ownership • Collaborative and innovative culture • Opportunity to work on impactful AI projects • International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius 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. Applicants 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. If you need accommodations during the application process, please let us know.

About Nebius : 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. 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. 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. The role We’re looking for a Senior HPC Cluster Engineer to join our team and play a key role in the development of our cutting-edge hyperscaler platform. The GPU & InfiniBand team is responsible for enhancing and optimizing the core components of our Cloud platform, with a specific focus on GPU computing, InfiniBand networks, and the KVM/QEMU stack. You’ll work closely with hardware virtualization and device emulation technologies, ensuring high performance and security in multi-GPU, HPC environments. The role involves analyzing, troubleshooting, and improving infrastructure to support new hardware, fine-tuning system performance, and automating fault detection and resolution in a complex system. In this position, you will be responsible for: • Tuning the performance of GPU clusters and InfiniBand networks to ensure optimal operation in HPC and GPU-based environments. • Analyzing and troubleshooting the root cause of issues related to GPUs and InfiniBand networks, and proposing corrective actions. • Integrating new hardware into the existing infrastructure, including support for new GPU hardware through software stacks like Kubernetes, QEMU, and KVM. • Enhancing automation systems for proactive monitoring, detecting, and resolving issues in GPU and InfiniBand environments. • Configuring and managing GPU devices and InfiniBand fabrics, ensuring efficient and reliable operation. We expect you to have: • 5+ years of professional experience in system-level software development (focused on performance optimization, low-level programming). • 3+ years of hands-on experience with Linux systems (administration, troubleshooting, and performance tuning). • In-depth understanding of server architecture, including PCIe devices, NICs, Linux OS/Kernel, and high-performance computing (HPC) systems. • Strong proficiency in one or more performance-oriented programming languages (C/C++, Go, Python). It would be a plus if you have: • Experience with GPU end-to-end testing in a cluster environment using InfiniBand networking. • Proven track record of analyzing and optimizing the performance of HPC workloads (e.g., simulations, data analysis, AI/ML workloads). • Familiarity with RDMA, RoCE, and InfiniBand protocols for high-performance communication. • Background in Software-Defined Networking (SDN) and experience with HPC cluster networking . • Understanding of QEMU/KVM virtualization and managing virtualized environments. • Experience with deep learning frameworks such as PyTorch and TensorFlow , and their integration with HPC systems. • Familiarity with collective communication libraries like MPI and NCCL for distributed computing. We conduct coding interviews as part of the process. LI-LH2 Benefits & Perks: • Competitive compensation • Career growth and learning opportunities • Flexibility and ownership • Collaborative and innovative culture • Opportunity to work on impactful AI projects • International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius 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. Applicants 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. If you need accommodations during the application process, please let us know.

About Nebius : 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. 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. 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. The role The Data Engineering team builds and operates the data platform that powers analytics, business intelligence, operational reporting, and data-driven products across Nebius. We ingest data from internal and external systems, develop reliable transformation pipelines and data models, and make trusted datasets available to business and product teams. We are looking for a Senior Data Engineer to own substantial parts of our data platform and deliver complex data products end to end. You will turn ambiguous business needs into pragmatic technical solutions, make architecture and implementation trade-offs, and improve the reliability, scalability, and usability of our data ecosystem. You will work closely with product, platform, and business teams, helping them use data effectively while ensuring that our systems remain maintainable and trustworthy as Nebius grows. Your responsibilities: • Own the design, delivery, and operation of complex data pipelines, datasets, and platform components. • Translate business and analytical requirements into scalable data models, reliable data products, and clear technical plans. • Design and evolve data architecture, storage, processing, and orchestration patterns for large-scale workloads. • Improve data quality, observability, lineage, and incident response for critical datasets and pipelines. • Investigate and resolve challenging performance, reliability, and data-correctness issues in production. • Establish reusable tools, conventions, and automation that improve engineering productivity and reduce operational risk. • Work with product teams and business stakeholders to define data contracts, priorities, and success criteria. • Contribute to technical direction through design reviews, thoughtful trade-offs, and documentation. • Support and mentor other engineers through reviews, pairing, and knowledge sharing. • Participate in the on-call rotation and take ownership of improving the operational health of the systems you support. Must-haves: • 5+ years of experience in data engineering, backend engineering, or a related role; or equivalent experience delivering and operating production data systems. • Proven experience independently delivering complex data pipelines or data-platform capabilities from problem definition through production operation. • Strong Python and SQL skills, including writing maintainable production code and optimizing non-trivial queries. • Hands-on experience with workflow orchestration tools such as Airflow, Prefect, or Dagster. • Strong understanding of data modeling, including designing maintainable analytical models and data contracts for multiple consumers. • Solid knowledge of data architectures and storage systems, including the trade-offs between different processing and storage approaches. • Experience designing for reliability: testing, monitoring, data-quality validation, alerting, debugging, and incident resolution. • Ability to make technical decisions under ambiguity, explain trade-offs clearly, and collaborate effectively with engineers and non-technical stakeholder Nice-to-haves: • Experience with real-time or event-driven data platforms and streaming technologies. • Experience building or operating cloud-native services with Docker and Kubernetes. • Familiarity with Infrastructure as Code, particularly Terraform. • Experience with data governance, access control, privacy, and compliance requirements such as GDPR or SOC 2. • Experience with data observability and quality tools or frameworks, such as Great Expectations. • Experience improving engineering standards through shared libraries, platform tooling, technical documentation, or mentoring. We conduct coding interviews as part of the process. Benefits & Perks: • Competitive compensation • Career growth and learning opportunities • Flexibility and ownership • Collaborative and innovative culture • Opportunity to work on impactful AI projects • International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius …

About Nebius : 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. 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. 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. The role We're looking for a Senior Customer AI Engineer who will join our Token Factory team to help our customers successfully transition from proof-of-concept to production and scale their AI workloads on Nebius infrastructure. This role sits at the intersection of engineering, delivery, and customer success – ensuring that what was promised during pre-sales actually works reliably in production. You will work closely with customer engineering teams, Solution Architects, and Product/Infrastructure teams to drive stable, performant, and cost-efficient deployments . This role is NOT: • A sales role (though you will support expansion through value) • A pure support role (you won’t just react to tickets) • A solution architect role (you won’t design systems from scratch) You’re welcome to work remotely from Europe . Your responsibilities will include: Own the production journey • Lead the transition from PoC to production • Ensure customer workloads are deployed, stable, and scalable • Drive time-to-production and time-to-value Ensure technical success in production • Understand customer architectures and use cases • Monitor and improve: • performance (latency, throughput) • cost efficiency • reliability • Identify and resolve bottlenecks proactively Act as a trusted technical partner • Work directly with customer engineering teams • Provide guidance on best practices and optimisation • Translate technical challenges into actionable solutions Manage risks and incidents • Act as a primary technical contact for production issues • Coordinate with internal teams to resolve incidents • Communicate clearly during high-pressure situations Drive continuous improvement • Identify opportunities to optimise and expand usage • Provide structured feedback to Product and Infrastructure teams • Help shape better solutions based on real customer needs We expect you to have: Technical background • Practical knowledge of inference frameworks (e.g. vLLM, TensorRT, or similar) • Solid understanding of: • cloud or infrastructure systems • distributed systems or high-load applications • AI/ML workloads (LLMs, inference, etc.) is a strong plus • Ability to troubleshoot and reason about system performance Customer-facing experience • Experience working directly with technical customers (e.g. engineers, ML teams) • Ability to communicate complex topics clearly and effectively Ownership & execution • Strong sense of ownership – you drive outcomes, not just tasks • Ability to manage multiple customers and priorities • Structured, proactive, and solution-oriented mindset It will be an added bonus if you have: • Experience with GPU workloads or AI infrastructure • Background in solutions engineering, SRE, or technical support in B2B environments Benefits & Perks: • Competitive compensation • Career growth and learning opportunities • Flexibility and ownership • Collaborative and innovative culture • Opportunity to work on impactful AI projects • International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius 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. Applicants 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. If you need accommodations during the application process, please let us know.

About Nebius : 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. 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. 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. The role AI is moving faster than any single product team can track. Nebius is expanding across serverless, databases, MLflow, MLOps, Physical AI, and HCLS — and customers arriving with complex, real-world ML workloads need more than documentation. This role exists to close that gap: someone who can prototype what's possible, accelerate customers through their first 90 days, and feed hard-won field insight back into the product roadmap. This role sits at the intersection of deep ML engineering and product impact. You'll spend roughly half your time in the field — helping new customers move from POC to production, running technical onboarding, and working hands-on through their ML stack. The other half you'll spend building — prototyping applied AI use cases that show what's possible on the platform, going deep on emerging techniques before they're mainstream, and turning that expertise into concrete product direction. This is not a presales role. You get your hands dirty every day. What success looks like in 12 months • The product and sales teams have a library of working, polished demos they reach for on calls • Enterprise customers you've touched have meaningfully faster time-to-value than those you haven't • At least 2–3 product changes were shipped because of feedback you originated • The team understands where applied AI is heading 6–12 months from now, partly because you told them Your responsibilities will include: • Build prototypes and demos across the product portfolio — serverless inference, databases, MLflow, MLOps, and vertical use cases in Physical AI and HCLS — that become assets for sales, product, and engineering teams • Support new customers hands-on through POC design, technical onboarding, and validation; act as the bridge between their ML team and the platform during the critical first months • Go deep on emerging applied AI — new training techniques, inference optimizations, agentic architectures, new frameworks — and turn findings into working prototypes, writeups, and product recommendations • Feed the product roadmap with specific, grounded feedback; be the voice of "here's what broke in three customer POCs last month and here's what needs to change" • Develop reusable technical assets — notebooks, reference architectures, benchmark results — that reduce onboarding friction at scale We expect you to have: • You've fine-tuned large models, debugged distributed training jobs, built production RAG or agentic pipelines, and optimized inference on GPU infrastructure — not just read about it • You're fluent in the modern ML stack: PyTorch, HuggingFace, CUDA fundamentals, Kubernetes for ML, MLflow or equivalent, vector databases • You've worked with enterprise ML teams — whether as a solutions engineer, customer engineer, or an ML engineer who collaborated closely with customers • You read papers and implement them — not for credit, but because it's how you stay sharp • You communicate with calibration: you can explain activation checkpointing tradeoffs to an ML engineer in the morning and the cost implication to a CTO in the afternoon It will be an added bonus if you have: • Experience in any of our vertical domains: Physical AI / robotics / simulation, HCLS (drug discovery, medical imaging, clinical NLP), or enterprise AI application development • Familiarity with MLOps at scale (Kubeflow, Metaflow, Argo, Ray) • Prior work at a cloud provider or AI infrastructure company • You've shared technical work publicly — notebooks, talks, blog posts that people actually use Who thrives here You'll thrive here if you're energized by variety — one day deep in a customer's MLOps stack, the next building a demo from scratch. You want your technical depth to influence product decisions, not just close deals. 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! Pay Transparency We offer …

About Nebius : 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. 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. 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. The role We are seeking a Security Solutions Engineer with a strong background in strategic solution evaluation, vendor assessment, and hands-on Proof-of-Concept (PoC) validation. This role is a crucial bridge between identifying customer security requirements and implementing best-in-class, enterprise-grade solutions. You will be responsible for defining the criteria, researching the market, and executing technical validation for all major security tooling and services adopted by the company. Key responsibilities: 1. Strategic Research & Requirement Definition • Threat-to-Solution Mapping: Proactively analyze customer expectations, regulatory/compliance drivers, and threat models to define precise functional and non-functional requirements for new security solutions. • Market Analysis & Scouting: Conduct thorough market scans to identify cutting-edge security products, platforms, and vendors across key domains (e.g., CSPM/CNAPP, DLP, IAM/IGA, EDR/XDR, data security, Kubernetes security, and AI/ML security). • Vendor Due Diligence: Evaluate potential vendors based on technical capability, security posture, integration requirements, roadmap, data residency/compliance, and support quality, and shortlist candidates for the PoC phase. 2. Technical Validation & Proof-of-Concept (PoC) Leadership • PoC Planning & Design: Develop detailed, objective, and threat-aligned test plans and success criteria for all security solution Proof-of-Concepts (PoCs), including quantitative success metrics, coverage of key attack scenarios, and opportunities for automation. • Hands-on Environment Setup: Independently architect and deploy isolated PoC environments that accurately simulate our production infrastructure (e.g., setting up cloud VPCs, Kubernetes clusters, integrating with test data via IaC, and mimicking typical workloads). • Testing & Analysis: Execute security research methodologies within the PoC (e.g., simulating attack scenarios, conducting deep feature validation, assessing false positive/negative rates) to rigorously test the vendor solution's effectiveness. • Artifact Generation: Document all findings, including technical performance data, integration challenges, security gaps discovered, and clear comparative analysis metrics. 3. Decision Support & Communication • Recommendation & Insight: Deliver comprehensive, data-driven reports and compelling presentations to security and product leadership and engineering stakeholders, providing a clear recommendation for the optimal solution and vendor selection. • Integration Planning: Work closely with Security Engineering, Platform/Infra, and DevOps teams to ensure selected solutions are feasible to integrate, operate, and scale, and to hand off PoC learnings into implementation plans. Must-haves: • Experience: Minimum 6+ years in Security Engineering, Security Architecture, or a dedicated Security Research role focused on solution validation and vendor management. • Technical Depth: Deep understanding of modern cloud security principles (e.g., AWS/Azure/GCP security models, Kubernetes/containers, network segmentation, IaC scanning, least privilege, identity-centric security, confidential computing). • Programming and Automation - Strong scripting / programming skills (e.g., Python, Go, or similar) for automating PoCs, building test harnesses, and integrating tools via APIs and CI/CD pipelines. • Solutions Expertise: Proven, hands-on experience with the architecture, deployment, and testing of two or more enterprise-grade security tools (e.g., SIEM/SOAR platforms, Endpoint Detection and Response (EDR), Vulnerability Management, Secrets Management). • PoC Proficiency: Demonstrated ability to plan and execute complex technical Proof-of-Concepts, including setting up test environments and defining quantitative success metrics. • Soft Skills: Exceptional analytical skills with the ability to translate complex technical findings into clear business risk and strategic recommendations. Strong written and verbal communication. Nice-to-haves: • Experience in Cloud or Cloud-Heavy companies. • Experience in a compliance-focused industry (e.g., finance, healthcare, or cloud infrastructure) and familiarity with …

About Nebius : 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. 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. 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. The role We run a large-scale GPU cloud and AI infrastructure platform. Fraud and abuse — stolen payment cards, fake sign-ups, compute mining, credential abuse, and coordinated free-tier exploitation — directly threaten platform economics, capacity availability for legitimate customers, and our standing with payment providers and cloud partners. As Product Manager, Anti-Fraud, you own the product roadmap for the systems that detect, prevent, and respond to fraud and abuse across the customer lifecycle — from onboarding and payment through to ongoing consumption. You sit at the intersection of Trust & Safety, Payments/Billing, Risk, Data Science, and Product Engineering, and you balance two goals in constant tension: stop bad actors and keep friction near zero for real customers. Your responsibilities will include: • Own the end-to-end anti-fraud product roadmap: signup/KYC checks, payment fraud detection, account takeover protection, and compute-abuse (e.g., crypto mining, resource reselling) prevention. • Own the rules and risk-scoring surfaces — the tooling that lets analysts and data scientists define, test, and deploy detection rules and ML models with clear guardrails and audit trails. • Own the manual review and case-management experience for the Trust & Safety operations team, including queues, evidence views, and action workflows (block, limit, step-up verification, release). • Own customer-facing friction points — verification flows, step-up challenges, and appeals — designed to minimize false positives and protect the legitimate user experience. • Identify fraud and abuse incidents early — define the signals, alerts, and thresholds that surface incidents before they scale, and own the detection surface that flags them. • Participate in incident reviews and post-mortems, capturing root causes and turning each finding into concrete improvements to detection rules, models, and the roadmap. • Ensure timely response to active incidents — drive fast triage, clear ownership, and mitigation, working alongside Trust & Safety, Engineering, and Data Science to contain impact. • Write clear PRDs and specs that translate fuzzy risk problems into shippable engineering and data-science work. • Partner with Analytics team on detection models — defining the problem, labels, and success criteria, and deciding where rules vs. ML are the right tool. • Run experiments and monitor rollouts, watching both fraud-catch metrics and false-positive / customer-friction impact. • Work with Legal/Compliance to keep detection and enforcement aligned with payment-network rules, KYC/AML expectations, and data-privacy requirements. • Track and report on fraud loss, chargeback rate, false-positive rate, review throughput, and time-to-detection. We expect you to have: • Proven product management experience in fraud, risk, trust & safety, or payments. • Strong analytical skills — comfortable with data, SQL or equivalent, and reasoning about precision/recall trade-offs and metrics. • Ability to make decisions under ambiguity and to balance security, business, and customer-experience priorities. • Solid collaboration with engineering and data science; you can hold a technical conversation about signals, features, and model behavior. • Exposure to cloud, SaaS, marketplace, fintech, or infrastructure products. • Understanding payment fraud, chargebacks, KYC/AML, or device/network signals (fingerprinting, velocity, IP reputation). It would be an added bonus if you have: • Familiarity with ML-based detection systems and their operational lifecycle (drift, retraining, monitoring). • Experience with abuse patterns specific to compute or GPU platforms (mining, credential stuffing, free-tier farming). Benefits & Perks: • Competitive compensation • Career growth and learning opportunities • Flexibility and ownership • Collaborative and innovative culture • Opportunity to work on impactful AI projects • International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal …

About Nebius : 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. 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. 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. The Role Nebius is looking for a Senior Product Manager to own Commercial Agreements and Pricing Mechanics within the Billing Platform team. Our billing platform is how Nebius turns AI infrastructure into a business. As the company grows, Sales and GTM teams need increasingly sophisticated commercial constructs: commitments, credits, custom terms, multi-tenant setups. Your mission is to make sure every deal the business needs is supported by the billing platform out of the box, with as few unsupported custom deals as possible, and to build pricing mechanics that help maximize revenue. This is a role at the intersection of product, commerce, and engineering. You will translate commercial intent into billing capabilities: well-defined product mechanics with clear rules, data models, and self-service potential. Responsibilities • Own the vision, roadmap, and backlog for commercial agreements and pricing mechanics in the Nebius billing platform • Design and ship billing support for commercial constructs • Develop pricing mechanics that drive revenue growth, such as dynamic pricing models • Systematically reduce the number of deals billing cannot support out of the box: identify recurring deal patterns and turn them into productized capabilities • Partner closely with Sales, GTM, Finance, Legal, and Operations on deal structures and contract mechanics; work with the billing engineering team on design and delivery • Own discovery, requirements, delivery, and success metrics for your domain, and keep documentation and internal enablement up to date Who we are looking for • 5+ years of product management experience, including hands-on ownership of billing, monetization, or pricing products • Solid technical grounding: you are comfortable discussing APIs, data models, and billing pipelines with engineers and can reason about system design trade-offs, even if you do not write production code • Experience operating in an enterprise B2B environment with many stakeholders: sales, finance, legal, engineering • Strong analytical skills: you model the revenue and margin impact of pricing and discount mechanics before committing to them Nice to have • FinOps or cloud billing domain expertise: commitment discounts, usage-based pricing, FOCUS or similar billing data standards • Experience supporting enterprise deal desks or working directly with Sales on non-standard deals • Background at a cloud provider (hyperscaler, GPU cloud, or adjacent infrastructure business) Benefits & Perks: • Competitive compensation • Career growth and learning opportunities • Flexibility and ownership • Collaborative and innovative culture • Opportunity to work on impactful AI projects • International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius 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. Applicants 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. If you need accommodations during the application process, please let us know.

About Nebius : 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. 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. 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. Offensive security The internal offensive security team is responsible for the penetration testing program, red team engagements, and offensive research aimed at uncovering sophisticated attack scenarios targeting high-value assets across the Nebius Cloud stack. The Role We're hiring an Offensive Security Engineer to join us at Nebius. You'll design and execute adversarial simulation across our cloud platform - attacking the same infrastructure our customers depend on - and translate findings into measurable security improvements. This is a hands-on engineering role within Product Security Team. You will be part of an internal red team, establish a penetration testing program, and conduct research to uncover sophisticated attack scenarios targeting high-value assets across the Nebius tech stack. What you’ll do • Validate and extend early-stage Secure SDLC threat models via continuous penetration testing , assessing threat severity and mitigation status while challenging assumptions made during threat modeling and system development. Automate routine validations to keep pace with increasing feature flow, reserving manual analysis for genuinely complex cases. • Plan and execute full-scoped red team engagements against Nebius cloud platform - including compute, storage, inference, networking, orchestration layers, and internal tooling. Identify threats, which are able to impact an organization's operations. Work closely with Detection & Response and other security engineering teams to run purple team exercises, validate detection coverage, and close gaps collaboratively. • Research novel attacks against GPU infrastructure (e.g., closed-source firmware and vendor driver binaries, device passthrough exploits, SR-IOV/IOMMU misconfigurations, RDMA/InfiniBand fabric attacks, etc.), the inference stack (e.g., vLLM, TRT-LLM), and AI platform managed services (e.g., managed Slurm). Assess tenant-isolation boundaries and how they can be broken at the low-level stack • Conduct targeted assessments of new products and infrastructure changes before they ship. • Deliver clear, actionable reports for both technical audiences and leadership - with prioritized findings and remediation guidance. • Establish red team processes, tooling, and a methodology that scales as the platform grows. What we’re looking for • 6+ years in offensive security - penetration testing, red teaming, or adversary simulation • Deep experience attacking cloud-native environments: Kubernetes privilege escalation, cloud IAM abuse, virtualization and container escapes. • Strong fundamentals across the attack lifecycle: initial access, persistence, lateral movement, data exfiltration. • Proficiency developing custom tooling and post-exploitation capabilities (Python, Go, or similar). • Experience running purple team exercises and working constructively with blue teams. • Ability to write clear, senior-level reports with business-contextualized risk (not just raw findings) that engineers can easily use. Nice to have • Experience attacking ML infrastructure, model serving pipelines, or GPU clusters. • Reverse engineering and exploits development experience • Application security experience • Familiarity with eBPF bypass techniques or kernel-level exploitation. • Background in vulnerability research or CVE discovery. • Experience with cloud provider internals (hypervisor/networking layers). • Presenting your security research at conferences like BlackHat/DefCon, etc. Why this role at Nebius • Attack surface that's genuinely novel - GPU clusters, AI platforms, multi-tenant cloud at scale. • Work alongside world-class engineers on infrastructure that powers frontier AI. • Competitive compensation with equity upside in a Nasdaq-listed, high-growth company. • Flexible, remote-first culture Hiring process • Recruiter's chat (30mins) • Live-coding interview (60mins) to asses basic coding skills • Security interview (60mins) to asses domain expertise • Security System Design interview (90mins) to assess practical experience • (Optional) Technical deep dive (90mins) to present a complex and impact project. • Final interview to close the hiring process (45mins) Benefits & Perks: • …

About Nebius : 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. 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. 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. Role Summary We are looking for a Network Security Engineer to join our Network team. This role combines deep expertise in network engineering and cybersecurity. You will help implement end-to-end network security architectures for enterprise and data center backbone/fabric environments, work with network architects and the management team to guide these designs through review and approval with the Security team, and operate and maintain the implemented solutions day-to-day. You are expected to be hands-on with leading firewall platforms (Palo Alto, Check Point, etc.), understand complex routing and switching designs, and be comfortable implementing and troubleshooting these networks. Responsibilities • Implement and maintain Zero Trust-aligned security architectures for both enterprise and data center networks. • Configure Layer 3/4 & Multi-VRF Segmentation, Security Policies, Secure Remote access. • Implement and test large hyper scale DC Security solutions : IPS/NDR solutions , AntiDDOS solutions. • Integrate NGFW platforms with modern identity providers such as Microsoft Entra ID and Okta, maintain NGFW management, automation, and logging capabilities required by the Security team. • Implement and maintain Security Capabilities, including Layer 7 application inspection, IPS, user identification, ZTNA, and SASE integrations. • Integrate and operate monitoring tools such as Zabbix, Grafana, and Akvorado. • Regularly perform security hardening, vulnerability management, and patching and upgrades on network and infrastructure devices, and verify the effectiveness of these procedures. Required Qualifications • Experience in networking and security protocols (TCP/IP, HTTP(S), DNS, TLS, IPsec, Routing protocols ) • Experience and Knowledge of Backbone & Datacenter technologies (EVPN, L3VPN MPLS, MPBGP, L2VPN..) • Hands-on experience with next-generation firewalls (Palo Alto Networks, Check Point, or similar). • Experience with automation using Python, Go, or equivalent. • Proficiency in Unix/Linux and experience with major network vendors (Cisco, Juniper, Aruba, etc.). • Experience configuring and troubleshooting NGFW capabilities and integrations, including IPS, User-ID, Microsoft Entra ID, and ZTNA. Preferred Qualifications • Good knowledge of IPv6. • Experience with automation tools (Ansible, Terraform, NetBox, SaltStack, etc.). • Experience with large-scale, highly available distributed systems. • Knowledge of Zero Trust principles and micro-segmentation approaches. • Relevant certifications (CCNP/CCIE, PCNSE, NSE 4/7) and professional working proficiency in English. • Familiarity with commercial or open-source monitoring, logging, and security analytics solutions such as Splunk; EDR/XDR platforms such as CrowdStrike; and centralized NGFW management platforms such as Panorama, Strata Cloud Manager, and FortiManager. • Bonus: Exposure to DevSecOps practices (SAST/DAST), CSPM/CWPP platforms such as Wiz, EDR, offensive security (OSCP/CPTS, red teaming), or security frameworks, standards, and regulations such as ISO/IEC 27001, NIST CSF, and GDPR. Benefits & Perks: • Competitive compensation • Career growth and learning opportunities • Flexibility and ownership • Collaborative and innovative culture • Opportunity to work on impactful AI projects • International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius 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. Applicants 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. If you need …

About Nebius : 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. 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. 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. The role We’re looking for a Security Product Manager to join our team. Security Product Manager is responsible for conveying the company’s security strengths to customers, partners and the market at large. This includes participating in relevant security partnership initiatives, influencing security positioning and branding, and working closely with internal teams to ensure company’s security posture and security products is communicated effectively to all stakeholders. By combining expertise in compliance requirements with a customer-centric approach, Security Product Manager helps position security as a competitive advantage rather than just an internal obligation. Your responsibilities will include: 1. Product Management • Define the vision and roadmap for Nebius’ security products. • Owning the ideation, postmortem, prioritization, backlog, and customer feedback processes. • Guiding new features, systems and services from inception to launch, while keeping customers at the center of everything. 2. Customer-facing communications • Lead public-facing communications around security updates or changes in compliance status. • In the event of a security incident, coordinate user messaging (email notifications, press releases, FAQs) with support from the Head of Security Products and CISO. • Gather user feedback on user experience and security to guide continuous improvements. 3. Competitive analysis and market research • Conduct ongoing research on industry benchmarks, emerging security standards and technologies, and competitor certifications. • Identify gaps and opportunities in organization’s product security posture; propose strategic initiatives that differentiate the company’s security story in the market. • Stay informed about new regulations or frameworks that may influence future product certifications or transparency requirements (e.g., privacy laws, data sovereignty standards). 4. Certification and audit support, service ownership • Collaborate with the CISO office to gather technical evidence or make necessary product enhancements that satisfy certification requirements. • Take ownership of some security-related services of Cloud platform. • Track and maintain a certification roadmap (ISO 27001, SOC 2, HIPPA, etc.), working closely with CISO, GRC & Compliance, Corporate Security departments. Communicate timelines, goals and status updates to leadership and sales representatives. 5. Cross-functional collaboration • Coordinate with multiple Product Managers to align security goals with other product roadmaps, ensuring a consistent narrative between product security and external messaging. • Work with Platform Security, GRC & Corporate Security and legal teams to gather essential information for security products enhancements (e.g., penetration test summaries, compliance reports). • Work with Customer-facing teams to address client inquiries about security posture and guide them on using security features optimally. We expect you to have: • 3+ years of Product Management or Program Management experience with a focus on security initiatives. • Basic knowledge of compliance frameworks (e.g., SOC 2, ISO 27001, GDPR) and familiarity with how they translate into business value. • Proven ability to communicate technical concepts in a clear, customer-friendly manner (e.g., writing content, speaking at webinars or conferences). • Stakeholder management skills to align with other Product Managers, CISO staff, engineering, marketing, and customer-facing teams. • Analytical mindset: comfortable defining success metrics (e.g., security feature adoption, NPS around trust, certification progress) and making data-driven decisions. • Project management skills: demonstrated ability to manage inter-team collaboration within company-wide projects, ensuring timely delivery of cross-functional tasks and alignment with compliance goals. It will be an added bonus if you have: • Certifications such as CISSP, CISM, or PMP; prior experience in regulated industries; prior experience working for Cloud Service Provider. About Nebius Nebius AI is an AI cloud platform with one of the largest GPU capacities in Europe. Launched in November 2023, the …

About Nebius : 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. 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. 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. About the role You own the company's identity provider: who signs in, from where, with which factors, into which applications — and how that access is granted, reviewed, and revoked. Microsoft Entra ID is the primary identity plane and the center of gravity for the role. Google Workspace, Cloud Identity, and Google Cloud IAM form a secondary domain. Microsoft 365 is in scope for tenant, licensing, and access administration. You are the escalation point for identity incidents from operations, security, service desk, and application teams — expected to resolve them, not route them onward. What you'll own Microsoft Entra ID and Microsoft 365 – Users, dynamic and assigned groups, administrative units, directory roles, service principals, workload identities. – Conditional Access design and rollout: named locations, client app and platform conditions, session controls, sign-in frequency, break-glass exclusions, report-only staging. – Authentication methods policy and phishing-resistant factors. – Application onboarding over SAML 2.0 (NameID, claims mapping, signing certificate rollover, encrypted assertions) and OIDC / OAuth 2.0 (authorization code with PKCE, client credentials, device code). – App registrations: redirect URIs, permissions, admin consent workflow, secret and certificate lifecycle. – SCIM 2.0 provisioning: attribute mappings, scoping filters, expression transformations, quarantined jobs, drift reconciliation. – Tenant consent settings, OAuth grant review, remediation of over-permissioned and stale applications; defensible controls for SaaS without SSO or SCIM support. – Joiner-mover-leaver as an automated pipeline: provisioning, group-based licensing, revocation with session and refresh token invalidation. – Least privilege for admin access: scoped role assignments, RBAC, PIM, access reviews, entitlement management access packages. – Service account and workload identity governance: ownership, credential rotation, permission scoping, decommissioning. – Microsoft 365 tenant settings, licensing, admin roles; access and permission issues in Exchange Online, SharePoint Online, Power Platform. – Diagnostics from sign-in, audit, and provisioning logs, with diagnostic settings routed to Log Analytics and KQL queries. – Cross-tenant access settings and B2B external collaboration. Automation – PowerShell tooling on the Microsoft Graph PowerShell SDK and Graph REST API: lifecycle, licensing, access reporting, recertification. – Google-side automation through the Admin SDK Directory API, Cloud Identity API, and gcloud. – Scheduled and event-driven workflows in Azure Automation Runbooks, Azure Logic Apps, or Power Automate. – Unattended execution on managed identities and narrowly scoped app registrations, with credential rotation, structured logging, error handling, and retries. – Automation treated as production code: version control, peer review, documented rollback. What you'll bring We care about what you can do, not which products appear on your CV. Concretely, you can: – Decode a SAML assertion or JWT and pinpoint the failure — audience mismatch, NameID format, expired signing certificate, missing claim — without escalating to the vendor. – Diagnose a failing SCIM job and tell scoping from attribute mapping, transformation expressions, or target schema. – Replace a manual lifecycle process with automation that logs, retries, and can be handed to someone else to run. Experience we expect – 3+ years administering Microsoft Entra ID in production as a primary responsibility. – Microsoft 365 tenant: settings, licensing, admin roles, Service Health – Exchange Online: mailbox permissions, groups, mail flow, SPF/DKIM/DMARC – Microsoft Defender: threat policies, quarantine, message trace – Power Platform: environments, DLP connector policies, maker access – PowerShell: Exchange Online module, Microsoft Graph SDK – Enterprise applications, app registrations, consent and permission models, automated provisioning. – Azure Automation Runbooks, Azure Logic Apps, Power Automate, or comparable platforms. – Least privilege, secure administration, change management, and the discipline to leave configurations documented. – Written and spoken English at B2 or higher. …