About ai&ai& is a pioneering global AI technology firm committed to addressing the escalating global demand for artificial intelligence. Our vision is twofold: to become a leading AI laboratory focused on localization and to function as a comprehensive global infrastructure and computing provider. We are developing an integrated, optimized global platform that connects state-of-the-art data centers, infrastructure, heterogeneous computing services, and advanced model services. We believe that effectively scaling AI requires ownership of the entire stack from top to bottom.At ai&, we empower small teams with the independence necessary to tackle significant challenges. Our methodology involves breaking down large problems into manageable parts and collaboratively solving complex issues. We are on the lookout for highly motivated, mission-driven individuals who exhibit strong personal initiative. We cherish curiosity as the foundation of talent, and we seek individuals who are excited to grow alongside our advancing technology and expanding business.We are actively recruiting talent globally, with offices in Tokyo, San Francisco, Austin, and Toronto. We are eager to meet exceptional talent wherever they may be located.Role OverviewAs the Data Center Project Manager, you will oversee the execution of ai&'s data center projects from inception to commissioning. You will manage project scope, timelines, budgets, and stakeholder engagements across complex, multi-disciplinary builds that include electrical, mechanical, civil, and IT infrastructure workstreams. You will be the driving force ensuring everything stays on track, identifying risks early, and guaranteeing timely and compliant project delivery.This role requires close collaboration with data center architects, electrical engineers, facility operations, and systems teams, alongside external contractors, vendors, and colocation partners. This hands-on execution role necessitates detail-oriented oversight, with on-site presence when required and comprehensive awareness of all workstream activities.
Mar 24, 2026