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Introl is seeking an Assistant Data Center Implementation Project Manager to support planning, coordination, and execution of large-scale data center projects across multiple sites in the United States. You will work with senior PMs and cross-functional teams from design through commissioning.
This hands-on role is designed to develop into a full Project Manager, exposing you to design coordination, procurement, on-site execution, and commissioning while applying best practices in project
Introl is seeking a highly motivated Assistant Data Center Implementation Project Manager to support the planning, coordination, and execution of large-scale data center infrastructure projects across multiple sites. Reporting to the Senior Director of Operations, this role will collaborate closely with senior project managers and cross-functional teams to ensure seamless delivery from design through commissioning.
This is a hands‑on, development‑focused position designed for individuals eager to grow into a full Project Manager role. You will gain exposure to all phases of data center implementation, from design coordination and procurement to on‑site execution and commissioning, while learning best practices in project management and critical infrastructure delivery.
At Introl, we specialize in large‑scale GPU cluster deployments, managing and optimizing infrastructure with over 100,000 of the most advanced GPUs available today. Our mission is to power the frontier of artificial intelligence and high‑performance computing by blending cutting‑edge hardware with world‑class infrastructure execution.
We don’t just connect GPUs — we design, finance, and operate highly coordinated deployments at scale, integrating hundreds of thousands of fiber optic connections and navigating the complexities of data centers around the globe. From concept to completion, our team ensures every deployment runs at peak efficiency and reliability.
Ranked #14 on the 2025 Inc. 5000 list of America’s Fastest‑Growing Private Companies, Introl continues to accelerate the future of compute with precision, innovation, and execution at scale.