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NexGen Cloud

GPU-based cloud IaaS with data sovereignty

Product Manager

Technical Product ManagementConfirmed live in the last 24 hours
Full-timeIn-person

About the Job

Requirements

  • Proven experience as a Product Manager owning technical products end to end, ideally in cloud, developer platforms, or infrastructure.
  • A track record of taking a new product from early concept through launch and adoption.
  • Experience line-managing or directly leading a small team, including performance and development conversations.
  • Enough technical depth to work credibly with engineers on APIs, platform architecture, and infrastructure trade-offs.
  • A working understanding of how AI and machine learning teams build, train, and deploy models, and the tooling they rely on.
  • Strong discovery and prioritisation skills, with evidence of turning customer research into roadmap decisions.

Responsibilities

  • Own and drive the product vision and roadmap for the new customer platform, AI Studio, and machine learning products, prioritising across customer needs, commercial goals, and engineering capacity.
  • Collaborate with Engineering, Infrastructure, Sales, Customer Success, Marketing, and Security to ensure products are buildable, supportable, compliant, and ready to sell at launch.
  • Run regular discovery with customers and prospects to understand how they build, train, fine-tune, and deploy models, and turn findings into clear problem statements, user stories, and acceptance criteria.
  • Define a minimum useful release for each product and sequence delivery so customers get value early.
  • Lead the team from idea to release by running the planning and delivery cadence, keeping the backlog actionable, and removing blockers.
  • Line-manage and develop three Product Engineers, and help hire and build a team that owns problems end to end.
  • Define and track adoption, activation, usage, and retention metrics, and use them alongside the competitive landscape to decide what to do next.

Desired Qualifications

  • Product experience with GPU cloud, AI/ML platforms, MLOps tooling, or model serving and fine-tuning products.
  • A hands-on technical background, such as software or machine learning engineering, and conceptual familiarity with Kubernetes, containers, and the NVIDIA GPU ecosystem.
  • Experience with usage-based pricing models and working across distributed teams in multiple time zones.

About the Company

NexGen Cloud

GPU-based cloud IaaS with data sovereignty

NexGen Cloud provides GPU-based cloud infrastructure in Europe through Infrastructure-as-a-Service (IaaS), renting data center space and power for on-demand NVIDIA GPU compute. Its two platforms are Hyperstack, a GPU-as-a-Service with on-demand compute and managed Kubernetes for startups and developers, and AI Supercloud, a large-scale HPC solution for enterprises and governments with data sovereignty under European jurisdiction. The company differentiates itself with 100% renewable-powered owned data centers, a focus on data sovereignty, and a partner API for enterprise AI integration. Its goal is to scale European GPU infrastructure to meet rising AI demand, expand its team and services, and compete with US hyperscalers by offering localized, privacy-conscious AI computing.

Company size
51-200
Company stage
Debt Financing
Total funding
$93M
Headquarters
London, United Kingdom
Founded
2020

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