Data Center Operations Manager - Site Lead

About Fluidstack Fluidstack is the AI Cloud Platform. We build GPU supercomputers for top AI labs, governments, and enterprises. Our customers include Mistral, Poolside, Black Forest Labs, Meta, and more. Our team is highly motivated, and focused on providing a world class supercomputing experience. We put our customers first in everything we do, working hard to not just win the sale, but to win repeated business and customer referrals. We hold ourselves and each other to high standards. We expect you to care deeply about the work you do, the products you build, and the experience our customers have in every interaction with us. You must work hard, take ownership from inception to delivery, and approach every problem with an open mind and a positive attitude. We value effectiveness, competence, and a growth mindset. About the Role We are seeking a talented Data Center Site Manager to join our Data Center Operations team and lead the management of our flagship AI infrastructure site housing hundreds of thousands of GPUs. You will play a critical role in overseeing the operations and maintenance of our data center infrastructure, ensuring maximum uptime and performance for our world-class GPU supercomputers. Focus Manage and prioritize tasks via internal tools e.g. JIRA and Confluence to ensure efficient operations Collaborate with internal teams to troubleshoot and perform Root Cause Analysis (RCA) and Corrective Action (CA) for issues Liaise with local colocation partners to fully understand site topology and articulate issues as needed Lead a team of technicians and engineers to maintain 99.99% uptime for critical AI infrastructure Oversee power, cooling, and networking systems supporting large-scale GPU deployments About You 7+ years of experience managing large-scale data center operations, preferably with HPC or AI infrastructure Strong technical background in data center mechanical and electrical systems (power distribution, cooling, fire suppression) Proven track record of managing teams and multi-million dollar facility budgets Experience with GPU clusters and understanding of AI workload requirements Excellent communication skills to interface with technical teams, vendors, and executive stakeholders Nice to haves Background in managing facilities for AI/ML workloads Experience with sustainability initiatives and PUE optimization Knowledge of compliance frameworks (SOC2, ISO 27001) Benefits Competitive total compensation package (cash + equity). Retirement or pension plan, in line with local norms. Health, dental, and vision insurance. Generous PTO policy, in line with local norms. #J-18808-Ljbffr