Nebius

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Recruitment Team Lead (US Data Centers)

Salary

$98k - $123k

Min Experience

7 years

Location

United States

JobType

full-time

About the job

Info This job is sourced from a job board

About the role

Why work at Nebius
Nebius is leading a new era in cloud computing to serve the global AI economy. We create the tools and resources our customers need to solve real-world challenges and transform industries, without massive infrastructure costs or the need to build large in-house AI/ML teams. Our employees work at the cutting edge of AI cloud infrastructure alongside some of the most experienced and innovative leaders and engineers in the field.

Where we work
Headquartered in Amsterdam and listed on Nasdaq, Nebius has a global footprint with R&D hubs across Europe, North America, and Israel. The team of over 800 employees includes more than 400 highly skilled engineers with deep expertise across hardware and software engineering, as well as an in-house AI R&D team.

Location: US (Remote)

We are seeking a highly experienced Recruitment Team Lead with a proven track record in Data Center hiring to join our growing Talent Acquisition team at Nebius.

The Role

As a Recruitment Team Lead, you’ll play a pivotal role in scaling our Data Center operations across Europe. You’ll partner closely with hiring managers and key stakeholders to deliver exceptional talent across multiple technical disciplines and manage direct reports to help grow and scale the business.

Key Responsibilities

  • Manage Data Center hiring strategy to plan and maintain momentum. 
  • Manage a team of Recruiters and Sourcers, driving efficiency.
  • Manage end-to-end recruitment processes for Data Center functions, including (but not limited to): Field Network Engineers, IT Technicians, GPU and Hardware Specialists, Logistics, Purchasing, Electrical, and Mechanical Engineers.
  • Drive high-volume sourcing and maintain robust pipelines for current and future hiring needs.
  • Build strong relationships with stakeholders across technical and operational functions, acting as a trusted Talent Partner.
  • Leverage market intelligence and data-driven insights to anticipate and fulfil future talent requirements.
  • Champion an exceptional candidate experience from application through offer stage.
  • Conduct effective screening calls to assess technical and behavioural competencies.
  • Write and optimise engaging job postings aligned to Nebius’ tone of voice and role-specific requirements.
  • Use Greenhouse ATS to manage pipelines, track progress, and ensure data accuracy.
  • Support and uphold Nebius’ commitment to diversity, equity, and inclusion through fair and inclusive hiring practice.

Key Qualifications & Experience

  • Bachelor’s degree (or equivalent experience) preferred.
  • Experience managing a team.
  • 7+ years of full-cycle recruiting experience in Data Center, IT Infrastructure, Telecommunications, or Network Engineering domains.
  • Demonstrable success recruiting across USA and EMEA.
  • Strong stakeholder management and influencing skills, with the ability to engage senior leaders and technical experts.
  • Comfortable discussing technical topics and understanding Data Center environments.
  • Excellent interpersonal, written, and verbal communication skills.
  • Proficiency with Greenhouse ATS (or similar).

Salary $98,400 - $123,600 

What we offer 

  • Competitive salary and comprehensive benefits package.
  • Opportunities for professional growth within Nebius.
  • Flexible working arrangements.
  • A dynamic and collaborative work environment that values initiative and innovation.

We’re growing and expanding our products every day. If you’re up to the challenge and are excited about AI and ML as much as we are, join us!

About the company

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.

Skills

Greenhouse ATS