Technical Due Diligence Manager- Data Centers, EMEA
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About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
The Infrastructure Acquisition Group
The Infrastructure Acquisition Group secures the land, power, and data center capacity that enables the Nebius AI Cloud. We identify where Nebius should grow next, structure the commercial agreements that make that growth possible, and partner across engineering, energy, finance, legal, and development to bring new AI infrastructure online.
We're a small, founding team building this function from the ground up, leading the acquisition of colocation, build-to-suit, powered land, and other strategic infrastructure opportunities as one of the world's fastest-growing AI cloud platforms scales.
Examples of Problems We're Solving
Determine whether a site can actually support the AI infrastructure we're planning to build. Lead multidisciplinary technical due diligence across geotechnical, environmental, civil, utility, and entitlement workstreams to determine whether a project is technically feasible before Nebius commits capital.
Build a repeatable technical due diligence program. Help establish the standards, consultant network, playbooks, and review processes that ensure every infrastructure opportunity is evaluated consistently across the Americas.
Identify technical risk before it becomes commercial risk. Work with Site Selection, Project Development, Engineering, and external consultants to identify development constraints early enough to influence negotiations, investment decisions, and project schedules.
About the Role
As a Technical Due Diligence Manager, you'll evaluate the technical feasibility of AI infrastructure opportunities across the Americas before Nebius commits capital. Working within the Infrastructure Acquisition Group, you'll lead multidisciplinary engineering due diligence across powered land and build-to-suit developments, partnering with Site Selection, Engineering, Energy, Legal, and Project Development to identify technical risk, assess development feasibility, and support investment decisions.
This is a build-phase role on a build-phase team. Many of the standards, playbooks, consultant relationships, and technical review processes you'll use are still being writtenβin some cases, you'll help write them. We're looking for someone who can independently lead complex technical due diligence programs while helping build the systems that make every future evaluation faster, more consistent, and more scalable.
What You'll Own
- Lead multidisciplinary technical due diligence for powered land, build-to-suit, and other strategic infrastructure opportunities.
- Define the scope of engineering, environmental, geotechnical, surveying, utility, and entitlement studies required to evaluate prospective sites.
- Procure, manage, and coordinate external engineering and technical consultants from scope development through final recommendation.
- Interpret technical findings and provide development recommendations supporting acquisition decisions.
- Prepare technical due diligence summaries and present risks, constraints, and recommendations to executive leadership.
Technical Risk Assessment
- Evaluate geotechnical conditions, environmental constraints, uti...
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About Nebius
Learn more about Nebius and their company culture.
AI cloud infrastructure company offering GPU compute and tools for training and running models.
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