Senior Project Manager (GPUaaS & AI Infrastructure)

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Project Manager (GPUaaS & AI Infrastructure) based in United States. As a Senior Project Manager, you will lead complex GPU-as-a-Service (GPUaaS) and AI infrastructure deployments, overseeing projects from initial planning through production launch and operational handover. You will coordinate cross-functional teams, customers, vendors, and strategic partners to deliver high-performance computing infrastructure on time and in line with technical and commercial commitments. Beyond project execution, you will help build a scalable Project Management Office (PMO), establishing standardized processes, governance frameworks, and delivery best practices. You will also leverage automation and AI-assisted tools to streamline workflows, improve reporting, and create real-time project dashboards. Working across international teams in Europe, the Americas, Asia, and Australia, you will operate in a dynamic, fast-growing technology environment. This is an opportunity to combine technical project leadership with process innovation while helping shape the future of enterprise AI infrastructure.

Accountabilities

• Lead end-to-end delivery of GPUaaS, AI infrastructure, hardware installations, and new data center or Point of Presence (PoP) deployments, from project initiation through production handover.
• Develop and maintain integrated project plans covering scope, milestones, timelines, dependencies, resource allocation, responsibilities, risks, decisions, and acceptance criteria.
• Coordinate Solutions Architecture, Engineering, Product, Procurement, Data Center Operations, Service Delivery, Sales, customers, vendors, and strategic partners to ensure effective execution across all project workstreams.
• Align hardware procurement, site readiness, networking, storage, compute infrastructure, platform deployment, and customer onboarding with technical requirements and agreed production dates.
• Lead deployment acceptance, go-live readiness assessments, stabilization activities, and formal handovers to Service Delivery and Operations teams.
• Manage multiple deployments simultaneously, balancing shared resources, competing priorities, dependencies, and delivery commitments.
• Design and standardize the deployment lifecycle, defining project stages, ownership, required inputs, approval gates, and entry and exit criteria.
• Establish project governance practices, including kickoffs, readiness reviews, change control, decision logs, escalation procedures, and regular delivery reviews.
• Create reusable templates, checklists, and operational runbooks to improve consistency, accelerate project initiation, and support deployments across different customers and regions.
• Contribute to the development of a scalable PMO by implementing project management standards, delivery frameworks, and continuous improvement practices.
• Use AI-assisted development tools and automation technologies to design, document, and improve project workflows, reducing manual coordination and repetitive administrative tasks.
• Collaborate with Engineering to integrate project workflows with internal systems, APIs, and data sources, automating status tracking, reporting, and routine updates wherever practical.
• Build and maintain standardized, live project dashboards that draw directly from workflow data and provide a single source of truth for project status.
• Deliver clear executive and operational reporting covering milestones, procurement progress, dependencies, risks, blockers, decisions, ownership, and next steps.
• Identify risks, resource constraints, and dependency conflicts early, driving mitigation plans, escalations, and cross-functional resolution.
• Communicate complex technical and operational issues clearly to leadership, customers, vendors, and partners, translating them into actionable decisions and next steps.
• Conduct post-deployment reviews and incorporate lessons learned into standardized processes and future project delivery practices.

Requirements

• At least seven years of experience in project management, program management, technical delivery, or infrastructure deployment, including a minimum of five years managing complex infrastructure projects involving multiple teams, customers, vendors, and partners.
• At least three years of experience working with AI infrastructure, GPU p…