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    Job · 17747076

    Nebius logo

    OFCI Procurement Manager

    Nebius · Remote · remote · Posted 37d ago

    Not disclosed5+ yrsfulltimeSourced fromGreenhouse

    About a minute. You'll make an account on the way through.

    About this role

    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 OFCI Equipment Procurement Manager – Data Centers to be  responsible for the technical and commercial procurement of Owner-Furnished, Contractor-Installed (OFCI)  equipment for mission-critical data center facilities. The role ensures that long-lead, high-reliability power and cooling equipment meets stringent performance, redundancy, and availability requirements while aligning procurement schedules with construction, commissioning, and go-live milestones.  

    This position reports to the Procurement Manager US Team Lead and is a remote position serving the geographically distributed projects for the company.   

    Your responsibilities will include:  

    Technical Scope & Engineering Coordination  

    Define OFCI equipment scope in collaboration with data center design, engineering, and construction teams  

    Review and validate technical specifications, single-line diagrams, layouts, and equipment datasheets with data center design, engineering, and construction teams  

    Ensure compliance with data center design criteria (Tier levels, redundancy, fault tolerance, uptime targets)  

    Manage technical clarifications, deviations, and vendor compliance matrices  

    Vendor Selection & Technical Procurement  

    Issue RFQs/RFPs for critical data center infrastructure equipment  

    Lead technical and commercial bid evaluations with engineering stakeholders  

    Conduct vendor technical interviews and design alignment workshops  

    Negotiate contracts covering performance guarantees, availability, FAT requirements, delivery milestones, and warranties  

    Critical Equipment Oversight  

    Manage procurement and delivery of long-lead, mission-critical equipment, including:  

    Electrical :  generators, medium- and low-voltage switchgear, transformers, UPS systems, PDUs, busways  

    Mechanical :  chillers, cooling towers, CRAH/CRAC units, pumps, heat exchangers  

    Controls & Monitoring :  BMS, EPMS, SCADA, protection and control systems  

    Manufacturing, FAT & Quality Control  

    Monitor vendor engineering, manufacturing, and testing schedules  

    Review vendor drawings, protection studies, and control logic  

    Coordinate and participate in FATs, integrated systems testing (where applicable), and inspections  

    Manage non-conformances, corrective   actions, and technical change control  

    Logistics, Site Delivery & Installation Readiness  

    Develop logistics strategies for oversized and critical equipment  

    Coordinate international shipping, customs clearance, and just-in-time delivery  

    Ensure equipment preservation, storage, and environmental controls on site  

    Support installation  readiness reviews and contractor handover  

    Schedule, Risk & Interface Management  

    Track long-lead items and procurement activities on the project critical path  

    Identify and mitigate risks related to capacity, lead times, factory constraints, and supply chain disruptions  

    Coordinate interfaces between OFCI equipment and contractor-installed systems  

    Provide detailed procurement and risk reporting   to project leadership  

    Documentation, Commissioning & Handover  

    Ensure completeness and accuracy of as-built documentation, O&M manuals, and warranties  

    Support commissioning, IST, and turnover to operations teams  

    Close out OFCI packages in accordance with   data center operational requirements  

    We expect you to have:  

    Bachelor's degree in a relevant field of study, (i.e. Construction Management, Engineering, Business, Supply Chain Management, Project Management, etc.) or equivalent combination of experience and technical training.  

    5+ years of experience in technical procurement or engineering for data centers or mission-critical facilities  

    Proven experience procuring long-lead, high-reliability OFCI equipment  

    Strong understanding of critical power and cooling systems  

    Experience with FATs, commissioning, and contractor coordination  

    It will be an added bonus if you had: 

    Hyperscale or colocation data center experience  

    Knowledge of Uptime Institute Tier standards or equivalent reliability framewo

    Core Competencies  

    Technical bid evaluation and compliance management  

    Key employee benefits in the US:

    Health insurance:  100% company-paid medical, dental, and vision coverage for employees and families.

    401(k) plan:  Up to 4% company match with immediate vesting.

    Parental leave:  20 weeks paid for primary caregivers, 12 weeks for secondary caregivers.

    Remote work reimbursement:  Up to $85/month for mobile and internet.

    Disability & life insurance : Company-paid short-term, long-term and life insurance coverage.

    Pay Transparency

    We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law.

    Base Compensation Range $107,100 — $133,800 USD

    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.

    Sourced from greenhouse

    Skills

    Compensation And BenefitsHugging Face TransformersLogisticsProject ManagementSupply ChainProcurement

    About Nebius

    Nebius logo

    Nebius

    Amsterdam

    NL

    About

    Nebius AI is an AI cloud infrastructure company that provides full-stack computing services and platforms. Nebius AI is an AI-centric public cloud platform, launched in late 2023 and specifically crafted to serve AI models from ML training to inferencing at a scale. Our mission is to enable ML practitioners to concentrate on their core job while DevOps, MLOps and infrastructure related tasks are on us. Our goal is to build an ML-specific cloud platform covering the whole ML lifecycle from A to Z: from data preparation and data labeling to ML training and inference.

    Industries

    AI InfrastructureCloud InfrastructureGPUIaaSPaaS

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