Technical Program Manager (Networking)

Location: UK, with regular travel to deployment sites across Europe

Company

Nscale provides high-performance GPU cloud infrastructure for AI start-ups and enterprise customers.

What you will do

• Own end-to-end program plans for network deployments across GPU cluster builds, from hardware delivery and cabling through customer handover.
• Coordinate Network Engineering, Network Architecture, Data Centre Operations, vendors, and customers across multiple concurrent sites.
• Track and resolve schedule risks involving hardware, optics, vendors, site readiness, and staffing.
• Manage vendor and partner commitments for network hardware, optics, and installation services.
• Maintain program reporting, milestones, RAID logs, change control, governance meetings, and post-build retrospectives.
• Coordinate acceptance testing, validation, documentation, and customer sign-off.

Requirements

• 5+ years of technical program or project management experience in large-scale data centre, cloud, or network infrastructure environments.
• Experience at a hyperscaler, cloud provider, major network vendor, or in comparable large-scale infrastructure programs.
• Strong knowledge of data centre networking, including routing and switching, fabric architectures, and WAN edge concepts.
• Experience managing multiple fast-moving builds with firm customer deadlines.
• Strong vendor management, stakeholder management, reporting, and technical communication skills.
• Willingness to travel across Europe to deployment sites as needed.

Nice to have

• Experience with GPU cluster, HPC, or AI training infrastructure builds.
• Familiarity with Ethernet, InfiniBand, EVPN/VXLAN, or RoCE.
• Experience with Jira, Smartsheet, Monday, RAID, or MOP frameworks.
• PMP, PRINCE2, or equivalent certification.
• Experience improving build-program processes in a scaling organisation.

Culture & Benefits

• Culture focused on innovation, ownership, accountability, openness, and transparency.
• Direct contribution to infrastructure supporting AI development and customer GPU workloads.
• Role includes regular travel to operational deployment sites.