Senior Project Manager (GPUaaS & 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 platforms, cloud infrastructure, data centers, hardware deployments, telecommunications operators, or managed infrastructure services.
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.
Demonstrated experience building or improving PMO processes, project governance frameworks, reporting structures, dashboards, and standardized delivery methodologies.
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.
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.
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.
Proven ability to build trusted relationships and coordinate distributed teams across multiple countries, cultures, and time zones.
Strong organizational skills, analytical thinking, and attention to detail, combined with the ability to manage competing priorities and maintain accountability for delivery outcomes.
A proactive, autonomous working style, with the confidence to establish structure in a fast-growing organization and continuously improve processes as deployment volumes increase.
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.
Direct experience deploying GPU clusters or high-performance computing environments is advantageous.
Familiarity with telecommunications operators, government infrastructure programs, or sovereign AI initiatives is desirable.
Experience establishing project delivery processes from scratch within a startup or high-growth technology company is beneficial.
Project management certifications such as PMP, PRINCE2, or Agile/Scrum are an advantage.
Flexibility to collaborate outside standard business hours when needed to support international teams, customers, and deployment schedules.
Benefits:
Competitive compensation: An attractive compensation package reflecting your experience, expertise, transferable skills, and market conditions.
Remote working: A remote role with a flexible, hybrid-friendly working culture.
International collaboration: Work with colleagues, customers, and partners across Europe, the United States, Australia, and Asia.
Career development: Opportunities to grow professionally within a fast-growing technology scale-up operating at the forefront of GPUaaS and AI infrastructure.
Technical and strategic ownership: The opportunity to shape infrastructure deployments, establish PMO standards, and influence how projects are delivered as the business scales.
Innovation and automation: Opportunities to introduce AI-assisted development, automated workflows, and real-time reporting tools that improve operational efficiency.
Collaborative environment: Join a friendly, internationally diverse team that values flexibility, teamwork, and practical problem-solving.
Meaningful impact: Contribute to infrastructure that supports enterprise AI, AI model training and inference, sovereign AI initiatives, and next-generation GPU cloud services.
Flexible engagement options: The position is available on either a freelance or permanent contract, depending on the agreed arrangement.
International career exposure: Gain experience managing complex, high-value infrastructure projects across multiple regions and technical environments.