---
title: 'Product Manager at NexGen Cloud'
canonical: 'https://feeny.ai/job/product-manager-nexgen-cloud-london-mc8xfc3f7pm9'
type: 'job'
last_seen: '2026-11-05'
---

# Product Manager at NexGen Cloud

- **Company:** NexGen Cloud
- **Location:** London, United Kingdom
- **Posted:** 2026-11-04
- **Last confirmed live:** 2026-11-05
- **Apply:** https://job-boards.eu.greenhouse.io/nexgencloud/jobs/5013620101

## Job description

## ABOUT NEXGEN CLOUD

NexGen Cloud is a fast-growing GPU cloud and AI infrastructure business. We’re the company behind Hyperstack — a self-serve, on-demand cloud platform built for high-performance AI, HPC, and compute-heavy workloads. Powered by 100% renewable energy and NVIDIA architecture, Hyperstack gives teams from AI startups to enterprise the compute they need, without the cost or complexity of legacy cloud.

We move fast, solve hard problems, and build things that matter. If you want ownership, real impact, and a front-row seat to one of the most consequential infrastructure shifts of the decade — this is the place.

## THE ROLE: PRODUCT MANAGER

We’re building a new customer platform, including AI Studio and our machine learning products, largely from scratch. These products need one person who owns what gets built, in what order, and why, and who makes sure what ships solves real problems for teams running AI and ML workloads on our GPU infrastructure. You’ll report to our Chief Product & Technology Officer and lead a team of three Product Engineers, based in London or Australia.

This is a role for someone who’s comfortable shaping loosely defined problems into clear priorities, makes trade-offs and explains them, and takes accountability for adoption and outcomes, not just a delivery plan.

## WHAT YOU’LL BE DOING

Rather than a checklist, here’s what success in this role actually looks like:

- Own and drive the product vision and roadmap for the new customer platform, AI Studio and ML products, prioritising ruthlessly across customer needs, commercial goals and engineering capacity.
- Collaborate closely with Engineering, Infrastructure, Sales, Customer Success, Marketing and Security, so 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 what you learn into clear problem statements, user stories and acceptance criteria.
- Define what a minimum useful release looks like for each product, and sequence delivery so customers get value early rather than at the end of a long build.
- Lead your team from idea to release: run the planning and delivery cadence, keep the backlog actionable, and remove blockers along the way.
- 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.

## ABOUT YOU

We care more about how you think and work than a perfect CV. You’ll likely bring a combination of the following:

Essential:

- 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 to 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 ML 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.

Nice to Have:

- 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 ML 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.

## WHAT WE OFFER

- Competitive salary and annual discretionary bonus scheme
- Employee wellbeing benefits
- 25 days holiday, plus public holidays
- Private Medical Insurance
- Enhanced Pension Scheme
- Flexible working arrangements (remote or hybrid, depending on role and location)
- Real ownership and autonomy — the trust to take initiative and experiment
- Visible, meaningful impact as we scale
- Clear career progression in a high-growth company
- A collaborative, international culture built on trust, transparency, and ownership
- The chance to help shape NexGen Cloud’s team, culture, and future

## WHY APPLY

We welcome applications from all backgrounds. If you enjoy solving complex infrastructure problems and want to build something meaningful at scale, we’d like to hear from you.

## MORE INFORMATION

Visit our [careers page](https://www.nexgencloud.com/careers) to learn more about us or follow us on [LinkedIn](https://www.linkedin.com/company/nexgen-cloud) and [X](https://x.com/CloudNexgen) to learn more about our journey and keep up with our latest news and releases.

## About NexGen Cloud

## Company Overview
- **One-liner**: NexGen Cloud is a UK-based full-stack AI cloud platform that provides sustainable, high-performance GPU infrastructure and cloud services for AI enterprises and practitioners.
- **Entity Type**: Private (funding stage not publicly disclosed; operates as a venture-backed growth company)
- **Headquarters**: London, United Kingdom (with additional office in Marbella, Spain)
- **Founded**: 2020
- **Founders**: Chris Starkey (CEO & Co-Founder), Youlian Tzanev (CSO & Co-Founder)

## Core Business
- **Primary industry**: AI Cloud Infrastructure / GPU-as-a-Service (GPUaaS)
- **Target customers**: B2B – AI enterprises, research labs, startups, and government entities needing scalable, sovereign AI compute (e.g., model training, inference)
- **Mission / Purpose**: To provide sustainable, sovereign, and accessible AI cloud solutions that enable innovation while maintaining data privacy and environmental responsibility.

## Products & Services
- **Hyperstack**: A self-serve GPU-as-a-Service platform offering instant, on-demand access to NVIDIA GPUs, one-click Kubernetes deployments, and pay-as-you-go pricing (SaaS / IaaS).
- **Secure Private Cloud**: Single-tenant, fully customised high-performance computing environments with state-of-the-art NVIDIA hardware (e.g., HGX B300, GB300 NVL72) and managed Kubernetes for enterprise workloads (IaaS / Managed Service).
- **InfraHub Compute**: A hardware sourcing, financing, and deployment service that builds the physical compute stack (NVIDIA GPUs, AMD processors, Supermicro platforms) for enterprise AI infrastructure (Hardware + Service).
- **Hybrid Cloud Integration**: Migration support and integration with external hybrid/multi-cloud environments for seamless workload portability (Service).

## Market Standing
- **Valuation / Market Cap**: Not publicly disclosed
- **Key Metric**: Not publicly available (private company; no revenue or funding figures in disclosed materials)
- **Notable Investors / Partners**: NVIDIA Cloud Partner (active collaboration on Secure Private Cloud deployments)
- **Growth Signals**:
  - Data centre deployments across Europe (Norway, Sweden), Canada, and the US (multiple sites in Norway, Canada, and a US presence)
  - SOC 2 Type 1 certified (audited by a licensed CPA firm)
  - Actively hiring across multiple roles (10+ open positions as of July 2026)
  - Expanding product suite with InfraHub Compute and hybrid cloud offerings

## Competitive Advantages
- **EU Sovereignty & Data Protection**: Infrastructure located in Europe and Canada, ensuring compliance with EU data regulations (“non-compliant with US regulations”)
- **Sustainability**: Majority of owned infrastructure hosted in data centres powered by 100% renewable energy
- **Full-Stack Expertise**: Controls the entire stack from hardware sourcing (InfraHub) to managed private cloud and self-serve GPUaaS, enabling customisation and cost optimisation
- **NVIDIA Partnership**: Direct access to cutting-edge NVIDIA hardware and engineering support for large-scale AI deployments
- **Enterprise-Grade Security**: SOC 2 Type 1 certification and enterprise-grade data protection controls

## Strategic Focus
- **Scaling sovereign AI infrastructure** across Europe and North America
- **Deepening the NVIDIA partnership** to deploy next-generation GPU clusters (e.g., NVIDIA GB300 NVL72 with liquid cooling)
- **Expanding the Hyperstack self-serve platform** to attract a broader developer and startup audience
- **Growing the Secure Private Cloud business** for large enterprises and government institutions

## Why Work Here
- **Culture**: Fast-paced, innovation-driven environment with an “open-door” policy; emphasis on collaboration, creativity, and taking initiative. The company describes itself as a “vibrant community driving a cloud revolution.”
- **Work Model**: Hybrid/remote depending on the role; offices in London and Marbella, with remote positions available
- **Onboarding**: Structured programme with an onboarding buddy, hands-on training, and intro sessions with HR and key team members
- **Professional Development**: Regular performance evaluations that identify strengths and growth areas; support for career advancement
- **Perks**: Not explicitly listed, but the culture page highlights a people-first approach, team celebrations, and a commitment to employee empowerment
- **Teams**: Engineering (HPC, MLOps, Software), Sales, RevOps, Finance, HR/Talent, Administration – high-growth org with diverse functions

## Sources
1. [nexgencloud.com - About](https://www.nexgencloud.com/about)
2. [nexgencloud.com - Home](https://www.nexgencloud.com/)
3. [nexgencloud.com - Careers](https://www.nexgencloud.com/careers)
4. [LinkedIn - NexGen Cloud](https://uk.linkedin.com/company/nexgencloud)
5. [CB Insights - NexGen Cloud](https://www.cbinsights.com/company/nexgen-cloud)

## Other roles at NexGen Cloud

- [IT Support Engineer](https://feeny.ai/job/it-support-engineer-nexgen-cloud-london-05dgw257r7ba) — London, United Kingdom
- [Technical Architect](https://feeny.ai/job/technical-architect-nexgen-cloud-london-634sccq2v3ca) — London, United Kingdom
- [Senior HPC Engineer](https://feeny.ai/job/senior-hpc-engineer-nexgen-cloud-australia-22nzp0bvzv03) — Australia
- [Datacentre Deployment Lead](https://feeny.ai/job/datacentre-deployment-lead-nexgen-cloud-united-kingdom-8wsd55wppkvr) — United Kingdom
- [Infrastructure Operations Engineer](https://feeny.ai/job/infrastructure-operations-engineer-nexgen-cloud-finland-h7pt7ecmbg8h) — Finland
- [Data Analyst](https://feeny.ai/job/data-analyst-nexgen-cloud-london-31gw52j1ava2) — London, United Kingdom
- [Network Deployment Engineer](https://feeny.ai/job/network-deployment-engineer-nexgen-cloud-london-w81ds406v2c0) — London, United Kingdom
- [Infrastructure Operations Engineer](https://feeny.ai/job/infrastructure-operations-engineer-nexgen-cloud-quebec-txqk957x1eqd) — Quebec, Canada
- [Strategic Finance / FP&A Manager](https://feeny.ai/job/strategic-finance-fp-a-manager-nexgen-cloud-london-3v93m3bvyrs6) — London, United Kingdom
- [Senior Management Accountant](https://feeny.ai/job/senior-management-accountant-nexgen-cloud-london-yda0stjawh9x) — London, United Kingdom