Technical Project Manager – AI Compute & Data Center Infrastructure

About Megaport We’re not your typical tech company – and we don’t want to be. Megaport is the global leader in Network as a Service (NaaS), and has transformed the way businesses connect to the cloud, data centers, and each other. We’re publicly listed on the Australian Stock Exchange and partnered with the biggest names in tech like Amazon, Microsoft, Google, Oracle, IBM, and more. Headquartered in Brisbane with a crew of over 600 people spread across Asia-Pacific, Europe, and the Americas, our employees enjoy an environment that is collaborative, supportive, and (actually) fun.   Our Team Culture We’re a team of problem solvers, pixel pushers, code slingers, and cloud fanatics. Culture is more than a poster on the wall here – collaboration beats hierarchy, curiosity fuels our growth, and everyone’s voice matters. We take our work seriously, but not ourselves. We work across time zones to execute on our global vision, trust each other to get things done, and never compromise our values for commercial gain. Most importantly, we place our customers at the center of everything we do.   We’re committed to increasing representation in the tech industry and welcome applicants from all backgrounds. Don’t meet every requirement? That’s okay. If you’re excited about this role, we encourage you to apply. The Role We are seeking an experienced Technical Project Manager to spearhead the strategy, design vetting, and end-to-end delivery of our next-generation, high-density AI Data Center footprint. In this role, you will bridge the gap between abstract capacity needs and physical execution, serving as the primary orchestrator for complex, high-capacity GPU cluster deployments. You will lead pre-approval technical vetting (evaluating space, power, cooling, and network floor plans before site acquisition) and take ownership of the full deployment lifecycle through to operational handoff. Proactive and a self-starter, you must be highly organized with the ability to manage competing priorities. Driven and motivated, you can operate both autonomously and in a collaborative team environment, coordinating across multiple internal groups and external vendors to deliver comprehensive high-capacity GPU cluster deployments.