Jobs in Tel Aviv-Yafo

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 an experienced U.S. Securities and Transactions Counsel to serve as the company's primary legal expert on U.S. securities law and the US requirements applicable to the company as a NASDAQ-listed foreign private issuer, with responsibilities for US transactional matters You will lead the legal workstreams associated with the Company's SEC reporting, disclosure and NASDAQ compliance obligations, working cross-functionally with Finance, Investor Relations, Company Secretary and senior leadership to uphold the highest standards of compliance, governance, and disclosure. You will also support the broader legal team with US legal advice on transactional matters, including financing, M&A and other strategic transactions. Your responsibilities will include SEC Reporting & Disclosure • Lead preparation and timely filing of all periodic and other SEC reports, including Forms 20-Fand 6-K , and Section 16 filings. • Manage disclosure controls and procedures; coordinate with Finance and external auditors to support SOX Section 302 and 404 compliances. • Draft and/or review press releases, earnings scripts, and investor materials; own disclosure compliance program. • Advise on Rule 10b5-1 plans and related securities law requirements. Corporate Governance • Advise on Board and committee governance, director and officer matters, and the company’s annual governance cycle under US Securities Law and NASDAQ listing standards. • Ensure compliance with SEC Rules on matters such as related-party transactions and other corporate governance matters. • Monitor developments in SEC Rules, NASDAQ listing standards and relevant U.S. public-company governance requirements. Capital Markets & Financing Transactions • Advise on securities law aspects of equity and debt capital markets transactions, including equity and convertible note offerings, ATM equity programs, and Rule 144A / Reg S debt offerings. • Negotiate underwriting agreements, purchase agreements, indentures, and related transaction documents; coordinate with underwriters' counsel and trustee. • Manage registration statements and prospectus supplements; advise on related EDGAR filings. • Advise on securities law compliance for convertible notes, warrant issuances, and equity-linked instruments. M&A and Strategic Transactions • Provide securities law counsel across the full M&A lifecycle — from structuring and due diligence through signing, regulatory filings, and closing. • Advise on representations and warranties related to securities law compliance. We expect you to have • J.D. from an accredited law school; active bar admission in at least one U.S. jurisdiction. • At least 7 years of relevant experience in US securities law and public-company matters; mix of top-tier law firm and in-house experience strongly preferred. • Deep expertise in Exchange Act reporting, SOX, Regulation FD, and NASDAQ governance rules. • Proven experience with capital markets transactions (equity and debt) and public M&A. • Exceptional drafting and communication skills; sound judgment and ability to work independently at a senior level. 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 Security Compliance Coordinator supports the day-to-day execution and scaling of the company's security compliance program. This hands-on role coordinates audits and certifications, performs control and evidence reviews, supports supplier compliance reviews within Third Party Risk Management (TPRM), and drives assigned actions to closure across multiple stakeholders. The coordinator works alongside other team members and is expected to contribute professional judgment, not only administrative tracking. Your responsibilities will include: Compliance and Audit Operations • Coordinate external audits, certifications, and readiness activities, including SOC 2 and ISO-based programs, evidence collection, control populations, sampling, and auditor requests. • Perform recurring control testing and evidence reviews; identify gaps and inconsistencies and track findings, corrective actions, and remediation commitments through closure. • Maintain organized, audit-ready records and provide clear status reporting on milestones, risks, dependencies, and overdue actions. TPRM and Supplier Compliance Reviews • Conduct compliance reviews of new and existing suppliers as part of the TPRM process, assessing questionnaires, SOC reports, ISO certifications, policies, and other security and compliance evidence against applicable requirements. • Identify missing, expired, or insufficient supplier evidence and material compliance gaps; coordinate clarifications and remediation and document the resulting assessment, decision, escalation, or accepted exception. Governance and Compliance Projects • Support the policy and procedure lifecycle, including inventory maintenance, owner coordination, scheduled reviews, approval tracking, publication, and reporting. • Support the implementation and operation of the GRC platform, including workflows, evidence automation, integrations, data quality, reporting, and user adoption. • Support the integration of new entities, services, and sites into the compliance program, including scope extensions and data-center documentation and evidence coordination. • Maintain workplans and Jira tasks and develop practical templates, metrics, and reporting that improve visibility and consistency across assigned workstreams. We expect you to have: • 2-3 years of experience in information security compliance, GRC, IT audit, IT risk, or a closely related field. • Working knowledge of information security controls, audit and certification cycles, and frameworks such as ISO 27001 or SOC 2. • Ability to review evidence critically, identify missing or inconsistent information, and follow issues through to a clear and documented resolution. • Prior exposure to TPRM, supplier security or compliance assessments, or review of third-party assurance documentation is an advantage. • Strong organizational and English communication skills, with the ability to manage multiple workstreams and summarize requirements, findings, and status accurately. • Proficiency with Jira, Confluence, and Excel or equivalent spreadsheet tools; experience with GRC platforms is an advantage. 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 Product In a rapidly evolving world, trust in AI depends on AI agents being grounded in fresh, verified real-world data. Search is the foundation that makes this possible. We are building an agent-native search platform designed specifically for AI systems rather than human users. Our product provides programmatic, low-latency, and observable search APIs that AI agents use to retrieve, filter, and reason over real-world information at scale. The Role As a Senior ML Engineer focused on Search Optimization, you will work on improving the quality of our search product across the all parts of the search stack. You will work on problems such as query understanding, query reformulation and expansion, retrieval, ranking, reranking, and result selection. Your goal will be to identify where search quality is lost, develop better approaches, and turn them into measurable improvements in production. This is an applied ML and information-retrieval role combining experimentation with production impact. You will work with real-world queries, large-scale search systems, and evaluation signals to improve relevance, recall, freshness, and overall result quality. In this position, your responsibility will be to • Design, implement, and operate the retrieval system for a search vertical • Connect and tune the data pipeline, from ingestion to relevance tuning • Build knowledge-graph and entity-resolution layers: entity linking / NER, ontologies, and graph databases (Neo4j or similar) • Develop structured-extraction pipelines over messy, unstructured domain data • Reason about freshness and trust: model how confident we are in a fact and how stale it has become before we serve it • Define evaluation and quality metrics for relevance and drive measurable improvements • Collaborate with crawling, indexing, and ML teams to ensure retrieval and ranking requirements are met • Enable safe experimentation with retrieval, ranking, and extraction strategies You may be a good fit if you have: • 6+ years of software engineering experience, some of it in search / information retrieval • Strong IR fundamentals: inverted indexes, BM25/TF-IDF, query understanding, ranking, and evaluation (nDCG/MRR/recall@k) • Experience with vector & hybrid retrieval: ANN, dense+sparse fusion, embeddings models • Experience building structured extraction over messy/unstructured domain data • Fluent in Python and comfortable with systems-level performance work Strong candidates may also have experience with: • Knowledge graphs: entity resolution, entity linking / NER, graph DBs (Neo4j), ontologies / schema design • Owning relevance / ranking for a real product and improving it against IR metrics • Data quality, truth discovery, or systems that decide how much to trust a piece of information • Published work on IR, ranking, or knowledge graphs 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 Nebius Token Factory is looking for scientists who can turn frontier LLM and VLM inference bottlenecks into research questions, conduct rigorous experiments, and translate their findings into production capabilities. You will own focused research and optimization projects, write strong code, and produce prototypes, publications, and technical artifacts that engineers can build on. Your research will span quantization, distillation, speculative decoding, KV-cache optimization, and model/runtime co-optimization, alongside inference engines and distributed inference architectures. You will investigate how these approaches interact, evaluate their trade-offs across model quality, latency, throughput, memory footprint, and cost per token, and work with engineering teams to bring promising results into production. Your responsibilities • Lead research projects in efficient LLM and VLM inference, from hypotheses and experiments through ablations, prototypes, and production handoff. • Develop and evaluate methods spanning quantization, quantization-aware training (QAT), distillation, speculative decoding, KV-cache reuse, KV-cache compression, long-context inference, MoE routing, and model/runtime co-optimization. • Build prototypes using PyTorch, Triton, CUDA-adjacent tooling, or inference-serving frameworks, and collaborate with MLEs and platform engineers to turn them into production components. • Research LLM request routing and scheduling strategies, including cache-aware load balancing and prefill–decode disaggregation (PDD). Evaluate how queueing, KV-cache transfer, worker placement, and prefill/decode capacity allocation affect latency, throughput, and serving cost. • Investigate multi-node inference for dense and mixture-of-experts models, including wide expert parallelism (WideEP). Study expert placement, load imbalance, and computation/communication trade-offs, and use the findings to guide model and system architecture choices. • Develop rigorous evaluations covering quality, latency, throughput, numerical stability, memory footprint, tail latency, and cost per token. Compare serving architectures under consistent workload conditions and GPU budgets. • Work with MLE, GPU kernel, backend infrastructure, product, and customer teams to select research priorities with measurable production impact. • Share results through internal reports, technical blogs, papers, and open-source artifacts, and mentor engineers and scientists on experimental design, scientific rigor, and model/system trade-offs. Must-haves • A PhD in computer science, machine learning, ML systems, computer systems, computer architecture, electrical engineering, applied mathematics, or a closely related discipline. • A strong publication record or equivalent research artifacts in ML, ML systems, efficient inference, model compression, quantization, distillation, serving systems, or related areas. • Strong Python and PyTorch implementation skills, with the ability to turn ideas into experiments and working prototypes. • Deep knowledge of LLMs, VLMs, transformer inference, decoding algorithms, model compression, quantization, and production-serving trade-offs. • Strong experimental design skills covering ablations, baselines, metrics, statistical reasoning, and failure analysis. • Excellent written and verbal communication. Nice-to-haves • First-author publications at venues such as NeurIPS, ICML, ICLR, MLSys, ACL, EMNLP, ASPLOS, OSDI, SOSP, ISCA, or HPCA. • Experience deploying ML models or inference optimizations in production. • Experience with vLLM, SGLang, TensorRT-LLM, NVIDIA Dynamo, FlashAttention, FlashInfer, Triton, CUDA, or PyTorch internals. • Experience applying post-training, SFT, DPO, RLHF, RLAIF, preference optimization, or synthetic data generation to inference quality or efficiency. • Open-source research artifacts, widely used benchmarks, technical blogs, or invited talks demonstrating contributions to efficient AI systems. • Research or implementation experience in one or more areas of distributed inference system architecture, such as LLM request routing, PDD, multi-node serving, or MoE expert parallelism, including WideEP. 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. About the Role We are looking for a delivery-focused Security Operations Project Manager to join the Cyber Security PMO, reporting to the Head of PMO under the CISO. This is a dedicated, single-program role: you will own end-to-end delivery of the Global SOC Operation program one of the most strategically significant initiatives in the CISO organization. The program spans five major workstreams across SOC design, telemetry, detection, incident response, and continuous improvement. You will be the engine that keeps this program moving. What You Will Own You will be the single accountable PM for the Global SOC Operation program; responsible for driving execution, maintaining delivery momentum, and ensuring nothing falls through the cracks across a large, multi-workstream program. Execution and Delivery: own the end-to-end project lifecycle across all workstreams: from project initiation and planning through execution, validation, and formal closure. Ensure every workstream has a clear plan, named owners, realistic milestones, and a path to delivery. Planning and Tracking: build and maintain detailed project plans in Jira. Keep the program board accurate, up to date, and executive-ready at all times. Translate ambiguous objectives into structured, executable task hierarchies with clear ownership and sequencing. Dependency and Risk Management: identify and manage cross-workstream dependencies before they become blockers. Maintain a live RAID log, drive mitigations, and escalate critical risks with full context and a recommended course of action. Stakeholder Coordination: run structured governance across a wide range of stakeholders including SOC engineering, IT, Legal, Privacy, HR, Finance, and CISO leadership. Facilitate kickoffs, steering reviews, and milestone sign-offs. Navigate cross-functional friction, Privacy, Legal, Work Council; with persistence and structured escalation. Reporting and Visibility: produce concise, accurate status reporting for the Head of PMO and CISO. Surface progress, risks, decisions, and next steps in a format that enables fast, informed decision-making. What We Expect • 4–6 years of hands-on project or program management experience with a strong delivery track record in complex, cross-functional technical environments. • Proven ability to manage a large, multi-workstream program simultaneously. • Deep Jira proficiency: task and epic management, board configuration, dashboards, reporting, and portfolio tracking. • Strong project decomposition skills; able to take an ambiguous objective and break it into structured, executable workstreams with named owners and milestones. • Proactive risk mindset: anticipates blockers, surfaces them early, and drives resolution without waiting to be directed. • Strong written and verbal communication in both Hebrew and English, with confidence engaging global stakeholders. • Technological orientation — able to understand SOC architecture, tooling stacks, and security workflows at a sufficient level to manage delivery and challenge estimates. • Experience working within a SOC, CISO, or security operations environment; a must. • Familiarity with SOC domains: SIEM, SOAR, detection engineering, threat hunting, DFIR, or incident management; a must. Nice to Have • Knowledge of security frameworks such as NIST CSF, MITRE ATT&CK, or ISO 27001. • Experience coordinating follow-the-sun or multi-region operational programs. • Experience working with globally distributed teams in a high-growth technology or cloud infrastructure company. • PMP, PRINCE2, or equivalent project management certification. What We Offer • Ownership of one of the most strategically important programs in the Nebius security organization. • Direct visibility to CISO leadership and real impact on how Nebius builds and operates its global SOC. • A fast-moving, high-growth environment where you will build something from the ground up. • A collaborative team with deep domain expertise across offensive security, SOC automation, CTI, and engineering. 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 YDB Development Team at Nebius is hiring mid- and senior-level software developers with C++ expertise. YDB is an open-source platform with two roles within Nebius: • Providing the binary object storage foundation for S3 Object Storage, Shared Filesystems and Network Block Storage • Serving as a distributed relational database and message broker for services such as IAM, billing, audit trails and logging We operate YDB clusters in more than 10 regions using HDD and NVMe storage. Individual clusters span tens of thousands of nodes, manage hundreds of petabytes of data and deliver terabytes per second of throughput. Our infrastructure includes x86 and Arm-based systems, including NVIDIA GB300 nodes. What you’ll work on • Evolve YDB’s architecture for new hardware, redesigning core components when incremental optimization is insufficient: • QLC NVMe drives: increase storage density while controlling RAM/CPU consumption and write amplification • Dual 800 Gb/s network adapters: reduce CPU overhead and memory bandwidth consumption to utilize the available NIC bandwidth • NVIDIA GB300-based systems: ensure efficient operation on Arm-based hosts and offload storage and networking processing to BlueField DPUs • Support high-capacity SMR HDDs by designing data placement, sequential writes, garbage collection and recovery around zoned-write constraints • Develop wide erasure-coding schemes to reduce space aplimfication while maintaining durability and availability • Reduce recovery and rebalancing times after device outages while limiting the impact on foreground workloads • Prevent, detect and recover from silent data corruption across memory, networking and storage • Provide the system capabilities and interfaces required by fleet-wide automation so that hundreds of production clusters can be deployed, configured, upgraded, diagnosed and operated consistently We move quickly and focus on delivering practical value. Features and optimizations merged into the production branch are typically deployed within weeks. You’ll see your work solving real problems in live clusters—not waiting years to make an impact. Requirements: • 5+ years of professional experience developing high-load systems in C or C++. Candidates with 3+ years will also be considered if their experience includes relevant work on distributed storage systems • Experience developing high-performance, low-latency software components • Understanding of core dumps, flame graphs and sanitizer-enabled builds • Understanding of CPU caches, atomic operations and NUMA architectures Nice to have: • Experience designing and developing production-grade distributed storage systems and/or databases • Experience with on-disk data structures such as LSM trees and B+ trees, and storage algorithms such as erasure coding and checksumming • Understanding of NVMe, conventional HDD and SMR HDD internals • Experience with debugging and profiling tools such as perf, VTune, bpftrace and gdb • Familiarity with the Linux kernel, SPDK/DPDK, libaio and io_uring • Knowledge of IP, TCP, UDP and DNS, and ideally InfiniBand or RoCE/RDMA • Experience with Kubernetes and Grafana • Experience responding to production incidents • Knowledge of availability and durability calculations For Senior candidates, we offer hybrid working or the flexibility to work remotely within EU. 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 This position sits within Nebius Token Factory, our serverless platform for running and customizing open-source LLMs in production. Token Factory allows for serverless inference and fine-tuning (LoRA, full FT, RFT) backed by in-house optimizations like custom speculative decoding, quantization, cache-aware routing and dedicated endpoints. Customers come to us to move from prototype to scaled production without the cost and complexity of building and tuning their own inference stack. We seek an experienced Senior ML Solutions Architect to support customers leveraging Nebius Token Factory's serverless inference and fine-tuning platforms for open-source LLMs across multiple modalities. In this role, you will be collaborating with clients to design and implement optimized inference workflows, build customized LLM-based solutions and architect scalable AI applications using our served models. You will also work closely with our backend team to improve our platform to match clients' needs. You’re welcome to work from Tel Aviv, Israel. Your responsibilities will include: • Optimize LLM inference across various modalities to drive business value and support customer goals • Provide support in supervised and reinforcement learning fine-tuning to maximize model quality for the customers • Design and implement LLM-based solutions using Nebius Token Factory’s inference services • Build production-ready applications leveraging our serverless LLM APIs, including multimodal models (text, vision, audio) and domain-specific models • Provide technical expertise in prompt engineering, RAG architectures and model selection • Collaborate with product and engineering teams to surface customer feedback and shape the platform roadmap • Guide customers in scaling from POC to production with a focus on performance, reliability, and cost efficiency We expect you to have: • 5+ years of experience in ML/AI systems, with at least 2 years focused on LLMs and generative AI • Deep knowledge of the LLM ecosystem, including model architectures and fine-tuning approaches • Hands-on experience with: • Running LLMs in production: deploying and operating inference workloads • LLM fine-tuning, including supervised fine-tuning (SFT/LoRA) and data preparation/curation; experience with RL-based fine-tuning is a strong plus • LLM evaluation: building task-specific benchmarks and offline/online eval pipelines, including LLM-as-a-judge setups • Inference frameworks and libraries (e.g., vLLM, SGLang, TensorRT-LLM, Transformers) • Deploying LLM-powered applications using APIs from OpenAI, Anthropic, or open-source models • Strong Python programming skills • Excellent communication skills, with the ability to clearly explain technical concepts to diverse audiences It would be an added bonus if you have: • Work with multimodal AI models (e.g., vision-language, speech) • Proficiency with DevOps tools (Docker, Kubernetes) • Contributions to open-source ML/AI projects Preferred technical stack: • Programming Languages: Python • ML Frameworks and Libraries: vLLM, TensorRT-LLM, SGLang, Transformers, OpenAI/Anthropic SDKs • MLOps and DevOps tools: Kubernetes (K8s), Docker, Git • Cloud Platforms: AWS (SageMaker, Bedrock), GCP (Vertex AI), Azure (Azure ML) #LI-DK1 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 Tavily, part of Nebius, is the web access layer for AI agents. Over two million developers use us, and our customers include Fortune 500 companies running agents in production. Vertical search is where we combine public sources with premium vertical data and shape the result into a product for a specific use case. This role owns that layer end to end. You decide which industries and use cases we productize. With the data team, you find and evaluate the public and premium data providers behind each one. You shape the product surface that sits on top. You will sit with customers in these industries, learn how they actually work, and turn their needs and pain points into clear specs. You will build with engineering, ship it, and make sure go-to-market knows how to sell it. You own the outcome, not just the handoff: from the first market call through to adoption and revenue. The hard part is choosing. There are more verticals worth building than we can build, and the difference between a good year and a wasted one is knowing which ones to invest in and which to walk away from, even when a large customer is asking for another. In your first year, we expect you to know our top use cases better than anyone here, ship a product built for one of them that customers will pay more for, and have a defensible view of what comes next. This is a hands-on senior IC role with real ownership. You will work within a small PM team reporting to the Director of Product, alongside engineering, research, data, and go-to-market. Your responsibilities will include: • Own the vertical roadmap. You decide where we invest, what we ship for each, and when a vertical is not worth it. • Shape the product surface on top of the data, so a customer gets something built for their job. • Find and evaluate the data behind each vertical, across public sources and paid providers, and decide what is worth investing in. • Sit with customers in these industries until you understand their workflow, then turn that into specs engineering can build. • Set what a good answer looks like in each use case, working with our evaluation team, who own how we measure it. • Work with customer success to learn what customers ask us for and what makes them leave. • Partner with the search owner on how results should be ranked and shaped for each use case. We expect you to have: • 5+ years of product management experience, with a meaningful portion in search, data, or industry-specific AI products. • Experience building products for a specific industry or use case, combined with enough technical depth to work directly on the data underneath: where it comes from, how good it is, and what it takes to make it usable. • A track record of real customer discovery: you have gone deep on how a particular kind of team works, and shipped something because of what you found. • Experience in API-first or developer-platform businesses. • Strong understanding of LLMs, AI agents, and how search and retrieval systems fit into agentic workflows. • A technical background, through a degree in computer science or engineering or equivalent hands-on experience, with the ability to engage deeply with technical architecture and tradeoffs. • The ability to influence and align cross-functional stakeholders without formal authority. It will be an added bonus if you have: • Domain experience in market intelligence, news, financial research, or another data-heavy industry. • Background at a data provider, enrichment vendor, market intelligence platform, or vertical search company, or experience building vertical data products in-house. • Experience evaluating and working with external data providers, including judging quality and negotiating what you actually need. • Leadership experience in a high-growth technology company, especially post-acquisition or startup-within-a-larger-org 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 Nebius is looking for a Senior Data Engineer who in addition to building and owning data pipelines will also drive the design and technical leadership within the data engineering team. This is a hands-on data engineering role, focused on designing, implementing, and maintaining reliable data flows for analytics and machine learning. Infrastructure, cloud, and Kubernetes are used only as tools to run pipelines reliably and cost-efficiently — this is not an SRE or platform engineering role. You’re welcome to work in our offices in Tel Aviv, Israel. Your responsibilities will include: Core Responsibilities (Primary Focus) • Design, build, and own production-grade data pipelines using Python and SQL. • Develop stateless, idempotent pipelines that are resilient to retries, failures, and infrastructure interruptions. • Implement data transformations, validation, and data quality checks. • Optimize pipelines for performance, reliability, and cost efficiency. • Collaborate closely with Analytics, Data Science, and ML teams to deliver trusted datasets. Supporting Infrastructure (Secondary Focus) • Orchestrate pipelines using a workflow orchestration framework (e.g., Airflow or equivalent). • Package and run data workloads using Docker and deploy them on Kubernetes. • Use autoscaling and Spot / Preemptible compute for efficient pipeline execution. • Build CI/CD automation for data pipelines. • Use Infrastructure as Code only to provision and manage the infrastructure required to run pipelines. We expect you to have: • 8+ years of experience as a Data Engineer, primarily focused on building data pipelines. • 6+ years of hands-on experience with Python and SQL. • 3+ years of experience running workloads on Kubernetes. • Strong understanding of stateless system design and idempotent data processing. • Experience building and operating data pipelines in cloud environments. • Experience with workflow orchestration frameworks. • Strong Linux fundamentals and production debugging skills. • Working knowledge of spoken and written English It will be an added bonus if you have: • Experience contributing to or working extensively with open-source software. • Experience building data pipelines using Apache Spark or similar distributed processing frameworks. • Experience building data pipelines that support machine learning workflows. • Familiarity with cost-optimized data processing (e.g., Spot / Preemptible compute). • Experience with relational and non-relational data stores. • Experience working with large-scale or high-reliability data systems. • Experience collaborating with strong Data Science and ML teams. 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 are seeking an experienced Threat Hunting Team Lead to join the Cyber Security organization, reporting to the Head of Proactive Security under the CISO. This role is responsible for leading the organization's proactive threat hunting program across Nebius's corporate IT environment, cloud platforms, and data center infrastructure. You will lead a team of threat hunters focused on identifying advanced threats, uncovering adversary activity before it becomes an incident, and continuously improving the organization's detection capabilities. The ideal candidate combines strong technical expertise with an attacker mindset and a passion for proactive defense. You will work closely with SOC, Incident Response, Threat Intelligence, Detection Engineering, and Security Engineering teams to identify emerging threats, develop hunting methodologies, and strengthen Nebius's overall cyber resilience. Your responsibilities will include: • Lead and manage the Threat Hunting team, including mentoring, prioritization, and professional development. • Define and execute the organization's proactive threat hunting strategy across corporate IT, cloud environments, and data center infrastructure. • Lead hypothesis-driven threat hunting activities to identify advanced threats, persistence mechanisms, and malicious activity not detected by existing security controls. • Develop and continuously improve threat hunting methodologies, playbooks, and operational procedures. • Leverage threat intelligence, adversary TTPs, and MITRE ATT&CK to drive hunting campaigns and prioritize hunting efforts. • Hunt across endpoint, identity, network, cloud, and application telemetry to identify suspicious behavior and indicators of compromise. • Collaborate with SOC and Incident Response teams to validate findings, support investigations, and improve incident response capabilities. • Partner with Detection Engineering to convert successful hunts into automated detections and improve security monitoring coverage. • Work closely with Security Engineering and Infrastructure teams to identify security gaps and recommend improvements. • Produce technical reports, executive summaries, and threat assessments for leadership and key stakeholders. • Define KPIs and measure the effectiveness and maturity of the organization's threat hunting program. • Stay current on emerging threat actors, attack techniques, AI-driven threats, and industry best practices, incorporating new knowledge into hunting operations. We expect you to have: • 6+ years of experience in cyber security, with a strong focus on threat hunting, incident response, detection engineering, or SOC operations. • 2+ years of experience leading technical security teams. • Strong understanding of attacker methodologies, post-exploitation techniques, and modern cyber threats. • Hands-on experience conducting hypothesis-driven threat hunting across endpoint, network, identity, and cloud environments. • Deep knowledge of MITRE ATT&CK and adversary tactics, techniques, and procedures (TTPs). • Experience working with EDR/XDR, SIEM, cloud security platforms, and threat intelligence sources. • Experience investigating advanced persistent threats (APTs), ransomware, insider threats, and cloud-based attacks. • Strong scripting or query skills (e.g., KQL, SPL, SQL, Python, PowerShell) for threat hunting and analysis. • Strong analytical, investigative, and problem-solving skills. • Excellent written and verbal communication skills in Hebrew and English. It will be an added bonus if you have: • Experience hunting across AWS, GCP, or Azure cloud environments. • Familiarity with large-scale enterprise, cloud-native, or AI infrastructure environments. • Experience developing detection rules and behavioral analytics. • Knowledge of malware analysis, digital forensics, or reverse engineering concepts. • Experience with threat intelligence platforms and threat hunting frameworks. • Relevant certifications such as GCFA, GCTI, GREM, GCIA, CISSP, or equivalent. • BSc in Computer Science, Information Security, or a related field. 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 As a Senior Technical Program Manager, you will own the end-to-end delivery of GPU clusters and other critical IT infrastructure components that power next-generation AI workloads. In this high-impact role, you’ll coordinate engineering, networking, construction, and operations teams to deliver GPU clusters and critical IT infrastructure at hyperscale. You’ll work closely with infrastructure leadership to define strategy, manage risk, and ensure on-time, high-quality launches.You’ll play a key role in scaling our global infrastructure footprint across the EU markets. Travel: This position may require on-site presence at data centers during key deployment phases. Your responsibilities will include: • Lead end-to-end delivery of new data center programs, from design through handover to operations. • Define and manage scope, schedule, and risks, maintaining focus on critical paths and proactive issue resolution. • Translate business and technical requirements into actionable project plans and measurable deliverables. • Oversee vendor and contractor execution, ensuring quality, budget, and schedule. • Provide structured program reporting, including dashboards, documentation, and executive updates. We expect you to have: • 7+ years of experience in technical program or project management, with direct involvement in large-scale IT infrastructure deployments. • Solid technical background in relevant domains, with the ability to engage deeply in technical discussions and challenge solutions where needed. • Proven ability to stay focused on critical paths and drive results in fast-paced, changing environments. • Communication and stakeholder management skills; able to translate complex topics clearly. • Leadership by influence and example in cross-functional or matrixed teams. • Proficient with modern project management tools and methodologies (e.g., Jira, Asana, hybrid Agile/Waterfall). It will be an added bonus if you have: • Understanding of construction projects structure and key risk factors in facility build-outs. • Knowledge of HPC • Experience in business processes design or automation tools development. • PMP, PRINCE2, or similar industry certifications. 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 are seeking an experienced Fraud Team Lead to join the Cyber Security organization, reporting to the Head of Detection & Response under the CISO. This role is responsible for leading the organization's Fraud & Insider Threat function, protecting Nebius, its employees, executives, customers, and brand from fraud-driven attacks and insider risks. You will lead a team responsible for identifying, investigating, and responding to fraud campaigns targeting the organization, including Business Email Compromise (BEC), executive impersonation, phishing, social media fraud, account takeovers, financial fraud, and insider threats. The role requires close collaboration with SOC, Threat Intelligence, IT, HR, Legal, Communications, and business stakeholders to proactively reduce fraud risk and strengthen organizational resilience. Your responsibilities will include: • Lead and manage the Fraud & Insider Threat team, including mentoring, prioritization, and professional development. • Define and execute the organization's fraud prevention and insider threat strategy, processes, and operational playbooks. • Oversee investigations involving Business Email Compromise (BEC), executive impersonation, phishing campaigns, social engineering, financial fraud, and insider threat activities. • Lead monitoring and response efforts for fraud targeting executives, employees, customers, and the Nebius brand. • Investigate fraudulent domains, social media impersonation, fake websites, fraudulent mobile applications, and other brand abuse activities. • Coordinate takedown efforts with external providers, registrars, social media platforms, and law enforcement when required. • Develop fraud detection capabilities by leveraging threat intelligence, telemetry, and fraud monitoring tools. • Collaborate with SOC and Threat Intelligence teams to identify emerging fraud campaigns and evolving attacker techniques. • Partner with HR, Legal, Finance, Communications, and IT teams to investigate insider threats and fraud incidents while ensuring appropriate handling and confidentiality. • Produce intelligence reports, risk assessments, and executive briefings on fraud trends, insider threats, and organizational exposure. • Define KPIs and continuously improve fraud detection, investigation, and response processes. • Drive awareness programs to educate employees and executives on phishing, social engineering, executive fraud, and insider threat risks. We expect you to have: • 5+ years of experience in cyber security, fraud investigations, digital investigations, cyber intelligence, or incident response. • 2+ years of experience leading technical or investigative teams. • Strong understanding of Business Email Compromise (BEC), phishing, executive impersonation, social engineering, and financial fraud techniques. • Experience investigating cyber-enabled fraud, insider threats, and digital abuse incidents. • Familiarity with email security, identity systems, and enterprise collaboration platforms. • Experience working with threat intelligence, OSINT, and digital investigation tools. • Strong analytical, investigative, and problem-solving skills. • Experience working cross-functionally with Security, HR, Legal, Finance, IT, and executive leadership. • Excellent written and verbal communication skills in Hebrew and English. It will be an added bonus if you have: • Experience with brand protection, digital risk protection (DRP), or external attack surface monitoring platforms. • Familiarity with dark web monitoring, OSINT investigations, and threat intelligence platforms. • Experience working with law enforcement or external fraud investigation organizations. • Knowledge of insider threat methodologies and user behavior analytics (UBA/UEBA). • Experience in SaaS, cloud-native, or enterprise environments. • Relevant certifications such as CFE (Certified Fraud Examiner), GCFA, GCTI, CISSP, or equivalent. • BSc in Computer Science, Information Security, Criminology, Intelligence, or a related field. 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. About The Role: The Operations Specialist is responsible for coordinating and managing end-to-end expense, payment, and documentation processes to ensure timely, accurate, and compliant processing of company purchases. This role acts as a key operational partner across finance, procurement, legal, compliance, accounting, treasury, and logistics teams. The position requires strong attention to detail, the ability to work independently within established frameworks, and a proactive approach to improving operational workflows. ______________________________________________________________________________ Key Responsibilities • Support procurement-related processes, including purchase requests, purchase orders, vendor onboarding, and coordination between requestors, procurement, finance, and suppliers. • Take responsibility for document management involving internal teams and external contractors, ensuring accurate creation, version control, and secure storage • Coordinate agreements, reconciliations, reports, and other operational documents for internal and external counterparties • Process reports and verify that they are complete, accurate, and correctly formatted according to internal standards • Work closely with Accounts Payable teams to support transaction processing and resolve discrepancies • Interact with cross-functional teams, including Legal and Accounting, to address operational issues and ensure smooth workflows • Advise internal stakeholders on transaction processing requirements, documentation standards, and operational procedures • Participate in special projects and cross-functional initiatives as required Key Qualifications & Experience Must-have requirements: • 1-2 years of experience in procurement operations, purchasing administration, finance operations, or a related operational role, with understanding of end-to-end procurement and purchase-to-pay (P2P) processes. • Experience with document management and operational workflows involving internal teams and external counterparties • Working knowledge of accounts payable processes • Ability to review, and maintain agreements and supporting documentation • Experience collaborating with cross-functional teams such as Legal, Accounting, and Finance • Strong attention to detail and ability to ensure accuracy and consistency in documentation and reporting • Ability to manage multiple tasks and priorities within established procedures • Clear written and verbal communication skills • Experience with ERP, finance, or document management systems • Fluent English Preferred qualifications: • Strong Excel or spreadsheet-based tracking and reporting skills • Experience participating in process improvement or special projects Competencies & Behavioral Traits • Structured, organized and detail-oriented • Strong sense of ownership for assigned processes • Comfortable coordinating across teams and priorities • Process-improvement mindset within defined frameworks • Proactive, solution-oriented approach to operational issues • Ability to understand operational and financial processes, identify gaps, and proactively follow through to completion • Self-driven and accountable, with the ability to prioritize tasks and manage competing priorities effectively 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 Nebius is looking for an experienced Security Architect to join the Cyber Security organization, reporting to the Security Architect Manager. This role focuses on designing and implementing secure architectures across corporate networks and cloud environments. You will play a key role in defining secure solutions, reviewing system designs, and ensuring security is embedded across enterprise infrastructure. The ideal candidate brings strong hands-on expertise in network and cloud security, along with the ability to work closely with IT, Infrastructure, DevOps, and Engineering teams to drive secure and scalable implementations. You’re welcome to work in our offices in Tel Aviv, Israel. Your responsibilities will include to: • Design and implementing secure architectures across corporate networks, cloud platforms, and hybrid environments. • Define and maintain security standards, guidelines, and reference architectures aligned with organizational requirements. • Review and approve architecture and design of new systems, infrastructure, and network changes. • Design and support secure enterprise network architectures, including segmentation, Zero Trust, and remote access solutions. • Define and implement controls for firewalls, ZTNA, proxies, and network access control (NAC). • Design secure cloud architectures including IAM, networking, and workload protection. • Ensure proper implementation of cloud security controls such as segmentation, encryption, and monitoring. • Define and support identity and access management controls, including SSO, MFA, and privileged access. • Contribute to endpoint security architecture, including EDR/XDR and device hardening standards. • Identify security risks and architectural gaps and recommend mitigation strategies. • Participate in architecture reviews, risk assessments, and security design discussions. • Collaborate with SOC, Vulnerability Management, IT, and Engineering teams to improve overall security posture. • Support implementation of security architecture initiatives and improvements across the organization. Cybersecurity Architecture • Define and maintain the organization’s cybersecurity architecture, reference architectures, security standards, and design principles. • Lead security architecture reviews for new systems, applications, infrastructure, and technology initiatives. • Translate threat models, business requirements, and risk assessments into practical security controls. • Establish security-by-design principles across cloud, infrastructure, application, and platform architectures. • Identify architectural security gaps and drive remediation roadmaps. Kubernetes and Cloud-Native Security • Design and implement security architectures for Kubernetes-based environments and cloud-native platforms. • Secure Kubernetes clusters, control planes, worker nodes, namespaces, workloads, and cluster-to-cluster communications. • Define and enforce Kubernetes security best practices, including RBAC, workload identity, network policies, admission controls, Pod Security Standards, and secrets management. • Secure container images and registries, including image scanning, provenance, signing, and supply chain integrity. • Implement runtime security, workload isolation, threat detection, and monitoring for containerized environments. • Secure Kubernetes ingress, service-to-service communications, APIs, and service mesh architectures where applicable. • Establish security controls for container orchestration platforms across development, testing, and production environments. • Evaluate and manage Kubernetes security risks, misconfigurations, excessive privileges, exposed services, and vulnerable workloads. Cloud Infrastructure Security • Lead security architecture across AWS and/or Microsoft Azure, including cloud-native and hybrid environments. • Define secure cloud landing zones, identity and access management, network segmentation, encryption, logging, and key management. • Implement preventive and detective security controls using cloud-native security services and centralized policy enforcement. • Drive cloud security posture management and remediation using CSPM, CNAPP, and related technologies. • Ensure alignment with organizational security requirements and relevant industry standards. Secure Development and DevSecOps • Integrate security throughout the Software Development Life Cycle (SDLC), from design and coding to deployment and production operations. • Partner with R&D, DevOps, and Platform Engineering teams to embed security into CI/CD pipelines. • Define and implement automated security controls, including SAST, DAST, Software Composition Analysis (SCA), secrets detection, and container image scanning. • Establish secure coding standards, threat modeling practices, API security requirements, and secure software supply chain controls. • Promote developer-friendly security tooling and reusable security patterns that minimize friction and accelerate delivery. • Drive remediation of vulnerabilities and architectural weaknesses in collaboration with engineering teams. Security Engineering and Risk Management • Develop technical security standards, architecture patterns, and security control baselines. • Conduct threat modeling, attack-path analysis, architecture risk assessments, and security design reviews. • Define security requirements for identity, access, data protection, network security, workload isolation, and observability. • Collaborate with Security Operations to improve security telemetry, detection capabilities, and incident readiness. • Evaluate emerging security technologies and recommend solutions based on risk reduction, operational effectiveness, and architectural fit. • Track security findings and drive measurable improvements in the organization’s security posture. We expect you to have: • 6+ years of experience in cybersecurity, with a focus on cloud security, networks, and/or SDLC • Experience working with cloud platforms (AWS, GCP, Azure) and cloud security best practices. • Strong hands-on experience in enterprise network security (firewalls, segmentation, VPN, proxies, NAC, etc.). • Solid understanding of identity and access management (IAM), Active Directory / Entra ID, and access control models. • Experience working in hybrid environments (on-prem + cloud). • Strong understanding of security architecture principles and risk-based design. • Experience working cross-functionally with IT, Infrastructure, DevOps, and Engineering teams. • Strong analytical and problem-solving skills. It will be an added bonus if you have: • Experience with Zero Trust architecture and network segmentation strategies. • Familiarity with cloud security tools (e.g., Wiz). • Experience with enterprise identity platforms (Entra ID / Azure AD, Okta, etc.). • Knowledge of regulatory and compliance frameworks (ISO 27001, SOC 2, NIST, etc.). • Experience in SaaS, cloud-native, or enterprise-scale environments. • Relevant certifications such as CISSP, CCSP, or equivalent. • BSc in Computer Science, Information Security, or a related field. 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. We are looking for a Senior Software Engineer to work on the core search application powering our agentic search platform. In this role, you will build and operate a high-scale, latency-sensitive API that sits at the center of the search request flow. The system orchestrates multiple retrieval capabilities, ranking components, and downstream services to serve thousands of search requests per second while balancing search quality, latency, reliability, and infrastructure cost. In this position, your responsibility will be to • Design, implement, and operate core backend components of a search orchestration system, spanning online services and background data pipelines. • Build well-tested services and pipelines with clear responsibilities and interaction contracts, while remaining flexible as the system evolves • Define and implement observability primitives, including structured logs, metrics, traces, and quality signals for both online and offline components • Support experimentation and iteration by enabling feature flags, controlled rollouts, and online experiments • Track throughput, latency, and resource usage across the system, and improve performance or cost efficiency when business needs require it • Collaborate closely with ML engineers to integrate search quality improvements to the system, while keeping ML logic decoupled from core system internals • Monitor resource usage, bandwidth consumption, and infrastructure cost • Work with data analysts and product managers to translate product and quality goals into concrete backend behavior and measurable metrics You may be a good fit if you: • 5+ years of experience building product critical backend services • Strong Go and Python Experience • Experience with large-scale distributed systems (5k+ RPS, billions of events, high-throughput pipelines) • Understanding of Information Retrieval flows and pipelines • Experience operating production systems and debugging failures in distributed environments • Strong understanding of scalability, fault tolerance, and resource management • Are interested in either a strong senior IC role or a role with significant technical leadership and ownership. 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 Nebius is looking for an experienced Security Architect Manager to lead our cybersecurity architecture function, with a strong focus on Kubernetes security, cloud infrastructure, cloud-native architectures, and secure software development. The role is responsible for defining and implementing security architecture principles, designing secure cloud-native environments, and embedding security throughout infrastructure provisioning and software development lifecycles. The successful candidate will combine deep technical expertise in Kubernetes and cloud security with proven team leadership, architectural design, and cross-functional collaboration skills. They will work closely with Cloud Engineering, DevOps, R&D, Platform Engineering, IT, and Security teams to ensure that security is built into the organization’s technology foundations. Your responsibilities will include: Cybersecurity Architecture • Define and maintain the organization’s cybersecurity architecture, reference architectures, security standards, and design principles. • Lead security architecture reviews for new systems, applications, infrastructure, and technology initiatives. • Translate threat models, business requirements, and risk assessments into practical security controls. • Establish security-by-design principles across cloud, infrastructure, application, and platform architectures. • Identify architectural security gaps and drive remediation roadmaps. Kubernetes and Cloud-Native Security • Design and implement security architectures for Kubernetes-based environments and cloud-native platforms. • Secure Kubernetes clusters, control planes, worker nodes, namespaces, workloads, and cluster-to-cluster communications. • Define and enforce Kubernetes security best practices, including RBAC, workload identity, network policies, admission controls, Pod Security Standards, and secrets management. • Secure container images and registries, including image scanning, provenance, signing, and supply chain integrity. • Implement runtime security, workload isolation, threat detection, and monitoring for containerized environments. • Secure Kubernetes ingress, service-to-service communications, APIs, and service mesh architectures where applicable. • Establish security controls for container orchestration platforms across development, testing, and production environments. • Evaluate and manage Kubernetes security risks, misconfigurations, excessive privileges, exposed services, and vulnerable workloads. Cloud Infrastructure Security • Lead security architecture across AWS and/or Microsoft Azure, including cloud-native and hybrid environments. • Define secure cloud landing zones, identity and access management, network segmentation, encryption, logging, and key management. • Implement preventive and detective security controls using cloud-native security services and centralized policy enforcement. • Drive cloud security posture management and remediation using CSPM, CNAPP, and related technologies. • Ensure alignment with organizational security requirements and relevant industry standards. Secure Development and DevSecOps • Integrate security throughout the Software Development Life Cycle (SDLC), from design and coding to deployment and production operations. • Partner with R&D, DevOps, and Platform Engineering teams to embed security into CI/CD pipelines. • Define and implement automated security controls, including SAST, DAST, Software Composition Analysis (SCA), secrets detection, and container image scanning. • Establish secure coding standards, threat modeling practices, API security requirements, and secure software supply chain controls. • Promote developer-friendly security tooling and reusable security patterns that minimize friction and accelerate delivery. • Drive remediation of vulnerabilities and architectural weaknesses in collaboration with engineering teams. Security Engineering and Risk Management • Develop technical security standards, architecture patterns, and security control baselines. • Conduct threat modeling, attack-path analysis, architecture risk assessments, and security design reviews. • Define security requirements for identity, access, data protection, network security, workload isolation, and observability. • Collaborate with Security Operations to improve security telemetry, detection capabilities, and incident readiness. • Evaluate emerging security technologies and recommend solutions based on risk reduction, operational effectiveness, and architectural fit. • Track security findings and drive measurable improvements in the organization’s security posture. Team Leadership and Collaboration • Lead, mentor, and develop a team of cybersecurity architects and security engineers. • Define team strategy, technical priorities, delivery plans, and measurable performance indicators. • Build effective partnerships with Cloud Engineering, DevOps, R&D, Platform Engineering, and other technology stakeholders. • Communicate complex architectural risks and technical trade-offs to senior management and engineering leadership. • Foster a culture of engineering excellence, automation, accountability, and continuous improvement. We expect you to have: • 7+ years of experience in cybersecurity, security engineering, cloud security, or security architecture. • 3+ years of experience managing technical teams or leading senior technical professionals. • Strong practical knowledge of Kubernetes architecture and container security in production environments. • Demonstrated experience securing cloud-native workloads and distributed systems. • Strong expertise in AWS and/or Microsoft Azure security architecture. • Hands-on understanding of Kubernetes RBAC, network policies, admission controllers, workload security, secrets management, and container runtime security. • Experience with Docker or other container technologies, Kubernetes deployment workflows, and container registries. • Strong understanding of cloud networking, IAM, encryption, key management, logging, and workload protection. • Practical experience with Infrastructure as Code and automated security controls. • Experience securing CI/CD pipelines and integrating security into software development processes. • Knowledge of threat modeling, vulnerability management, security architecture reviews, and risk assessment methodologies. • Proven ability to influence engineering teams and translate security requirements into scalable technical solutions. • Excellent communication skills in English. Key Success Metrics • Improved security posture and reduced attack surface across Kubernetes and cloud environments. • Reduction in critical misconfigurations, excessive privileges, and recurring architectural vulnerabilities. • Increased adoption of secure-by-design architecture patterns across engineering teams. • Improved security coverage and automation across CI/CD pipelines and infrastructure provisioning. • Reduced time to remediate critical security findings. • Consistent implementation of Kubernetes and cloud security baselines. • Improved collaboration between cybersecurity, cloud infrastructure, platform, and development teams. • Development of a high-performing cybersecurity architecture team. 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. Role Overview Nebius is seeking an experienced Security Analyst - Tier 2 for its Security Operations Center (SOC). This role is a hands-on position built for depth, serving as the investigative core of the SOC, focused on evidence and grounded conclusions. This role reports to the SOC Manager, under the Detection and Response function within the CISO Office. You are welcome to work in our offices in Tel Aviv, Israel. Key Responsibilities • Investigate escalated security alerts across endpoint, identity, cloud, email, and network layers. • Determine scope, impact, and root cause using EDR, SIEM, and supporting telemetry. • Escalate suspected incidents to the Incident Response team and complex investigations to Tier 3. • Provide structured feedback to relevant stakeholders on detection or prevention quality, false-positive patterns, and coverage gaps discovered during investigations. • Contribute to and refine SOC runbooks, triage guides, and investigation procedures. • Review Tier 1 escalations, coach on handoff quality, and act as the analytical reference during triage. • Document investigations to a standard that supports handoff, quality review, and lessons learned. • Participate in the on-call rotation, acting as the investigative point of contact outside business hours. Required Qualifications: Experience • Around 5-7 years of hands-on security operations experience, with proven depth in alert investigation. • Experience taking investigations to a clear verdict, including confirmed incidents. Technical Expertise • Strong working command of EDR platforms and SIEM-based investigation, including writing and adapting queries independently. • Solid understanding of attacker techniques, with the ability to map findings to MITRE ATT&CK in analysis and reporting. • Investigation capability across at least two of: endpoint, identity, cloud, email, or network domains. • Windows and Linux internals at the depth required for log and artifact analysis: processes, authentication flows, and persistence mechanisms. • Solid networking fundamentals: TCP/IP, DNS, HTTP/S, and the ability to interpret network telemetry. • Scripting ability (Python or similar) for analysis at scale, and familiarity with SOAR platforms. • Certifications such as BTL2, OSDA, or CDSA are an advantage. Leadership & Communication • Intellectual honesty, clearly distinguishing important and vague data, what is known, what is assumed, and what is still unknown. • Collaborative escalation habits, hands off with context and stays available to support what comes next. • Structured written communication, writing investigation notes that tell the story on their own. • Fluent in English, written and verbal, comfortable working with international teams and stakeholders. 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. About the role: The Business Operations Team Lead is a hands-on leadership role, combining people management with direct ownership and execution of Business Operations activities and processes. The role is responsible for leading and developing a team of Operations Specialists, driving strong operational performance, and ensuring effective and scalable execution across the purchase-to-pay (P2P) lifecycle. Working closely with Procurement, Finance, Accounts Payable, Legal, Accounting, Treasury, Logistics, and other stakeholders, the Team Lead drives process improvements, resolves cross-functional challenges, supports the implementation of new capabilities and ways of working, and helps ensure that Business Operations can effectively support the organization as it grows. ________________________________________________________________ Key Responsibilities • Lead, coach, and develop the Business Operations team, setting clear expectations, providing ongoing feedback, managing performance, and supporting individual professional growth. • Maintain an active hands-on role in Business Operations activities, including managing assigned PRs, requests and tickets, while also supporting complex cases and operational escalations across the P2P lifecycle, alongside team leadership responsibilities. • Own and continuously improve Business Operations processes and operational standards, ensuring effective, consistent, and scalable execution across the team. • Drive operational performance and quality by managing team priorities and workload, monitoring key metrics, identifying trends and gaps, and taking action to improve results. • Partner with Procurement, Finance, AP, Legal, Accounting, Treasury, and other stakeholders to manage cross-functional topics and resolve operational challenges. • Identify recurring issues, process gaps, and inefficiencies, and drive practical improvements from identification through implementation. • Drive and contribute to the design, testing, implementation, and adoption of new workflows, systems, automation, and operational capabilities. • Ensure processes and execution are aligned with internal policies, controls, and business requirements. • Lead and contribute to cross-functional projects and initiatives that improve efficiency, quality, controls, and scalability. Key Qualifications & Experience • 5+ years of experience in Business Operations, Procurement Operations, Finance Operations, P2P, or a related operational role, with a strong understanding of end-to-end procurement and purchase-to-pay processes. • Demonstrated experience leading and developing team members, either through formal people management or a team leadership role. • Experience driving cross-functional processes and working with stakeholders across Procurement, Finance, AP, Legal, Accounting, and other business functions. • Demonstrated experience identifying process gaps, resolving complex operational issues, and driving improvements through implementation. • Strong analytical and problem-solving skills, with the ability to use data and operational insights to support decision-making. • Strong stakeholder management and communication skills, with the ability to influence and drive alignment across teams. • Experience working with ERP, procurement, finance, or workflow management systems. • Fluent English. • Experience working in a global and rapidly scaling organization. Competencies & Behavioral Traits • Strong leadership skills with the ability to coach, develop, and create accountability within a team. • High level of ownership and accountability, with the ability to drive topics independently from identification through resolution. • Strong end-to-end and process-oriented thinking, with the ability to identify dependencies, gaps, and broader business impact. • Proactive and solution-oriented, with a strong continuous-improvement mindset. • Strong judgment and ability to prioritize and make decisions in a dynamic environment. • Collaborative and effective at building strong stakeholder relationships, influencing decisions, and driving alignment across functions. • Comfortable challenging existing ways of working and driving change. • Structured and analytical, with the ability to balance hands-on execution, people leadership, and improvement initiatives. 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 seek an experienced Senior Program Manager join the Strategic Initiatives team. In this role, you will be collaborating with various departments including, product, engineering, legal andfinance, leading technical product programs for the business. Your responsibilities will include: • Own initiatives end-to-end, including scope, sequencing, dependency tracking and decision unblocking. • Partner with product, engineering, legal, finance/SOX, sales, marketing and operations to deliver strategic initiatives. • Proactively identify, communicate and escalate cross-functional risks before they affect delivery or launch. • Create and maintain core planning documents, including PRDs, rollback plans, launch communications, risk logs and analytics. • Lead stakeholder communications, including regular updates, field-team enablement, support training, marketing coordination and supporting materials. • Report progress, risks, dependencies and blockers to initiative sponsors and the Strategic Initiatives Lead. We expect you to have: • Strong experience in programme management, technical product management or a similar cross-functional delivery role. • A proven track record of owning complex launches involving coordination across multiple teams. • A hands-on approach, with the ability to organise, manage and deliver the work rather than only track progress. • The ability to make sound decisions with incomplete information, resolve ambiguity and drive decisions through to completion. • Experience working in cloud infrastructure, billing or another regulated commercial environment. 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.

Meet render.ai, monday.com's new AI venture. At render.ai, we're redefining how humans use AI for work. render.ai enables anyone to bring ideas to life in minutes, using their words. We're a small, autonomous team - closer in spirit to an early-stage startup than to an established company. There's no fixed playbook: we're still figuring out what the product looks like, and every engineer helps shape that, not just build it. What are we looking for? You love prompt engineering for LLM and image generation, chasing high-fidelity outputs at scale, and you know how to push foundation models further than most think possible. You own the model quality lifecycle end-to-end, from early experiments to production monitoring, turning the latest LLM breakthroughs into systems that hold up at scale. You build evaluation frameworks you can trust, offline tests, and A/B experiments that turn feedback into real, measurable improvements. You keep a close eye on live AI systems, watching latency, hallucinations, and drift, and get ahead of failure modes before they become real problems. You're genuinely strong in TypeScript and Python, comfortable moving between fast AI experimentation and solid production engineering. You like getting hands-on with data, sourcing and cleaning it to make prompts, models, and evals better. You're energized by ambiguity and fast-moving environments, always curious about the newest models and techniques on the frontier. You're excited about where this goes next, helping render.ai expand into new modalities like voice and video. Advantages: Experience with modern LLMs and image models such as Flux and Imagen. Experience building AI-native or agent-based products from scratch. Familiarity with LLM observability tools, tracing, and debugging workflows. Background in rapid prototyping, experimentation, or startup-like environments.