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Verda

Full-stack AI cloud with GPU compute

Technical Program Manager

Program ManagementUpdated on Nov 10
Full-timeNo salary listedRemote

About the Job

Requirements

  • At least 5 years as a Technical Program Manager or technical project lead on infrastructure, data-center, or cloud programs.
  • Technical grounding in servers, Linux, networking, and storage sufficient to follow engineering discussions and challenge a plan.
  • Experience delivering programs spanning several engineering teams and external vendors.
  • Experience with engineering tools such as Linear or Jira, and with written planning and decision records.
  • Ability to manage complex multi-team plans and identify the critical path.
  • Ability to influence without authority and establish trust with engineers through understanding of their work.
  • Clear, concise written communication for engineers, leadership, and customers.
  • Ability to work with ambiguity and rapid change while bringing structure without slowing teams down.
  • Ability to track progress using evidence rather than status colors.
  • Ability to remain calm under pressure when dates and customers are at stake.

Responsibilities

  • Run new-region turn-ups end to end, from hardware handover to customer-ready status, across data-center operations, network, storage, SRE, platform, and cloud teams.
  • Build and maintain a plan for each program, covering milestones, owners, dependencies, and critical path, in Linear rather than Slack threads.
  • Turn deployment-plan dates, including hardware installation, first token, and customer RFS, into commitments agreed to by each team, and flag dates at risk early.
  • Ensure every workstream has a named owner and follow up on unowned work.
  • Run fleet-wide infrastructure changes that affect multiple teams, such as OS version alignment, network-stack updates, and maintenance windows.
  • Own stakeholder communication for programs, including status updates, maintenance notices, and customer-facing dates via Sales and Clusters.
  • Maintain a program risk register and drive decisions to closure with the responsible owners.
  • Run post-mortems after each turn-up and incorporate lessons into the next site's checklist.
  • Collaborate with Engineering leads to mature automation, process, and tooling.

Desired Qualifications

  • Experience with data-center build-outs or region launches at a cloud or GPU provider.
  • Experience with GPU or HPC infrastructure, InfiniBand, bare-metal provisioning, or hardware lifecycle.
  • Experience working across Europe and US time zones.
  • An SRE or infrastructure engineering background.

About the Company

Verda

Full-stack AI cloud with GPU compute

Verda provides a full-stack AI cloud infrastructure in Europe and beyond, combining the physical data centers and hardware with a cloud platform and AI research capabilities. It offers on-demand and reserved GPU instances, serverless containers, and managed inference on vertically integrated European infrastructure powered by renewable energy. The company serves AI and software teams who need self-service compute without long sales cycles. Verda is an NVIDIA Preferred Partner and operates across Europe, the UK, the US, and Asia. Its goal is to multiply compute capacity, deepen inference and platform services, and expand internationally while maintaining a strong growth trajectory.

Company size
201-500
Company stage
Series B
Total funding
$513.7M
Headquarters
Helsinki, Finland
Founded
2020

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