Senior Project Manager (GPUaaS & AI Infrastructure)

<h3>Accountabilities:</h3><li>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.</li><li>Develop and maintain integrated project plans covering scope, milestones, timelines, dependencies, resource allocation, responsibilities, risks, decisions, and acceptance criteria.</li><li>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.</li><li>Align hardware procurement, site readiness, networking, storage, compute infrastructure, platform deployment, and customer onboarding with technical requirements and agreed production dates.</li><li>Lead deployment acceptance, go-live readiness assessments, stabilization activities, and formal handovers to Service Delivery and Operations teams.</li><li>Manage multiple deployments simultaneously, balancing shared resources, competing priorities, dependencies, and delivery commitments.</li><li>Design and standardize the deployment lifecycle, defining project stages, ownership, required inputs, approval gates, and entry and exit criteria.</li><li>Establish project governance practices, including kickoffs, readiness reviews, change control, decision logs, escalation procedures, and regular delivery reviews.</li><li>Create reusable templates, checklists, and operational runbooks to improve consistency, accelerate project initiation, and support deployments across different customers and regions.</li><li>Contribute to the development of a scalable PMO by implementing project management standards, delivery frameworks, and continuous improvement practices.</li><li>Use AI-assisted development tools and automation technologies to design, document, and improve project workflows, reducing manual coordination and repetitive administrative tasks.</li><li>Collaborate with Engineering to integrate project workflows with internal systems, APIs, and data sources, automating status tracking, reporting, and routine updates wherever practical.</li><li>Build and maintain standardized, live project dashboards that draw directly from workflow data and provide a single source of truth for project status.</li><li>Deliver clear executive and operational reporting covering milestones, procurement progress, dependencies, risks, blockers, decisions, ownership, and next steps.</li><li>Identify risks, resource constraints, and dependency conflicts early, driving mitigation plans, escalations, and cross-functional resolution.</li><li>Communicate complex technical and operational issues clearly to leadership, customers, vendors, and partners, translating them into actionable decisions and next steps.</li><li>Conduct post-deployment reviews and incorporate lessons learned into standardized processes and future project delivery practices.</li><h2>Requirements:</h2><li>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.</li><li>At least three years of experience working with AI infrastructure, GPU platforms, cloud infrastructure, data centers, hardware deployments, telecommunications operators, or managed infrastructure services.</li><li>Proven experience owning infrastructure deployments end to end, with direct accountability for timelines, dependencies, and delivery outcomes from procurement and site readiness through go-live and operational handover.</li><li>Demonstrated experience building or improving PMO processes, project governance frameworks, reporting structures, dashboards, and standardized delivery methodologies.</li><li>Practical understanding of workflow design, automation, APIs, project management platforms, and AI-assisted development tools, with the ability to identify opportunities to reduce manual coordination and reporting.</li><li>Strong technical fluency across compute, networking, storage, data center infrastructure, platform deployment, and operational processes, enabling effective collaboration with engineering teams and early identification of delivery risks.</li><li>Excellent written and verbal communication skills, including the ability to present project status, risks, decisions, and technical issues clearly to both executives and operational stakeholders.</li><li>Proven ability to build trusted relationships and coordinate distributed teams across multiple countries, cultures, and time zones.</li><li>Strong organizational skills, analytical thinking, and attention to detail, combined with the ability to manage competing priorities and maintain accountability for delivery outcomes.</li><li>A proactive, autonomous working style, with the confidence to establish structure in a fast-growing organization and continuously improve processes as deployment volumes increase.</li><li>Hands-on experience developing workflow automation, system integrations, or AI-assisted tools using scripting, APIs, workflow platforms, Claude Code, or similar technologies is a plus.</li><li>Direct experience deploying GPU clusters or high-performance computing environments is advantageous.</li><li>Familiarity with telecommunications operators, government infrastructure programs, or sovereign AI initiatives is desirable.</li><li>Experience establishing project delivery processes from scratch within a startup or high-growth technology company is beneficial.</li><li>Project management certifications such as PMP, PRINCE2, or Agile/Scrum are an advantage.</li><li>Flexibility to collaborate outside standard business hours when needed to support international teams, customers, and deployment schedules.</li><h2>Benefits:</h2><li>
<strong>Competitive compensation:</strong>An attractive compensation package reflecting your experience, expertise, transferable skills, and market conditions.</li><li>
<strong>Remote working:</strong>A remote role with a flexible, hybrid-friendly working culture.</li><li>
<strong>International collaboration:</strong>Work with colleagues, customers, and partners across Europe, the United States, Australia, and Asia.</li><li>
<strong>Career development:</strong>Opportunities to grow professionally within a fast-growing technology scale-up operating at the forefront of GPUaaS and AI infrastructure.</li><li>
<strong>Technical and strategic ownership:</strong>The opportunity to shape infrastructure deployments, establish PMO standards, and influence how projects are delivered as the business scales.</li><li>
<strong>Innovation and automation:</strong>Opportunities to introduce AI-assisted development, automated workflows, and real-time reporting tools that improve operational efficiency.</li><li>
<strong>Collaborative environment:</strong>Join a friendly, internationally diverse team that values flexibility, teamwork, and practical problem-solving.</li><li>
<strong>Meaningful impact:</strong>Contribute to infrastructure that supports enterprise AI, AI model training and inference, sovereign AI initiatives, and next-generation GPU cloud services.</li><li>
<strong>Flexible engagement options:</strong>The position is available on either a freelance or permanent contract, depending on the agreed arrangement.</li><li>
<strong>International career exposure:</strong>Gain experience managing complex, high-value infrastructure projects across multiple regions and technical environments.</li>