Senior Technical Program Manager, Cloud Capacity

Job not on LinkedIn

🔥 0 minutes ago

🌐 Netherlands, United Kingdom – Remote

🇳🇱 Netherlands – Remote 🇬🇧 United Kingdom – Remote

⏰ Full Time

🟠 Senior

🔧 Technical Program Manager

👻 Ghost score 25%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Nebius Group

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

🤖 Artificial Intelligence

🏢 Enterprise

☁️ SaaS

Artificial Intelligence • Enterprise • SaaS

Nebius Group is building one of the world’s leading AI infrastructure companies, focusing on providing the necessary compute, storage, and tools for developers in the AI space. Based in Europe and listed on Nasdaq, Nebius has a global presence with R&D centers across Europe, North America, and Israel. The company's primary offering is an AI-centric cloud platform designed for intensive AI workloads, complemented by various other businesses involved in generative AI development, edtech, and autonomous technology.

📋 Description

• Drive capacity expansion across Nebius data centers • Analyze historical and current cloud resource consumption to identify trends, anomalies, and potential capacity constraints • Build and maintain infrastructure capacity forecasts and translate them into capacity requirements across multiple data centers • Initiate capacity requests and work with Supply Chain teams through purchasing and delivery • Maintain end-to-end visibility of capacity expansions from forecasting and requirements through procurement, delivery, installation, deployment, and customer availability • Coordinate expansion plans with data center teams, including installation schedules and infrastructure readiness • Coordinate with engineering teams to plan deployment of new capacity • Provide engineering, product, and business stakeholders with information about capacity plans, delivery timelines, status, dependencies, and risks • Work across data analysis, infrastructure engineering, procurement, data center operations, and product teams

🎯 Requirements

• Experience in technical project/program management, data analytics, capacity planning, infrastructure planning, or a similar role • Strong analytical background and comfort making decisions based on quantitative data • Understanding of basic statistical concepts and forecasting methods and their practical limitations • Ability to communicate with infrastructure engineers and understand technical constraints and dependencies • Ability to coordinate work across multiple independent teams without relying on direct authority • Strong written and verbal communication skills • Ability to translate technical and analytical information into clear plans, decisions, risks, and status updates for different audiences • Ownership of outcomes, including proactively identifying problems, driving decisions, following up on commitments, and ensuring issues do not disappear between teams • SQL querying, advantageous • Experience with monitoring and BI tools such as Grafana, DataLens, or similar platforms, advantageous • Experience with capacity planning, demand forecasting, or infrastructure resource management, advantageous • Understanding of cloud or data center infrastructure architecture, including servers, racks, compute, storage, networking, and operational dependencies, advantageous • Experience with procurement, hardware supply chains, or physical infrastructure deployments, advantageous • Must be authorized to work in the country in which they apply and provide proof of employment eligibility as a condition of hire

🏖️ Benefits

• 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 • Fast moving • Bold thinking • Constant growth • Meaningful impact • Trust and real ownership • Opportunity to shape the future of AI • Equal employment opportunities • Application process accommodations