Technical Product Manager, Kubernetes

• Execute on the delivery roadmap for NKS (our managed Kubernetes offering) and related orchestration and scheduling services on the Nscale cloud platform.
• Partner closely with platform engineers and cloud native engineers to deliver managed control planes, node pools, networking, storage, autoscaling, and workload scheduling capabilities.
• Run day-to-day delivery across multi-sprint initiatives, tracking progress and surfacing blockers from problem framing through launch and measurement.
• Translate customer needs (AI/ML workloads, GPU scheduling, multitenant platform teams, enterprise operators) into well-scoped, actionable requirements.
• Manage day-to-day customer interactions and calls, including weekly engagements with NVIDIA and other enterprise customers, acting as a reliable and technically credible point of contact.
• Support planning, reviews, and team standups. Contribute to metrics tracking across reliability, time-to-cluster, workload density, cost efficiency, and developer experience.

• 2+ years of product management experience in software or technology, with a track record of delivering in a defined product area.
• Hands-on experience building or working on products on top of cloud platforms (hyperscaler or specialised cloud) and a strong working knowledge of how cloud-native services are designed, operated, and consumed.
• Deep familiarity with orchestration and scheduling technology, Kubernetes in particular, plus adjacent primitives such as container runtimes, schedulers (e.g. kube-scheduler, Slurm, Nomad, Volcano), operators, service meshes, and workload autoscaling. Ideally from a prior engineering or software background.
• Strong technical fluency: you can engage credibly with platform and cloud native engineers on architecture, trade-offs, and feasibility for distributed systems and multi-tenant platforms.
• Demonstrated ability to work autonomously and manage operational tasks and customer interactions independently.
• Excellent written and verbal communication; you can make complex technical product decisions legible to engineers, customers, and executives alike.

• Degree in computer science, engineering, or a related field, or prior experience as a platform, cloud native, or infrastructure engineer.
• Experience shipping a managed Kubernetes service, container platform, or large-scale scheduling system.
• Familiarity with GPU scheduling, accelerated computing, or running AI/ML workloads on Kubernetes. Experience with CNCF ecosystem projects (e.g. Cluster API, Karpenter, Cilium, Istio, Argo, KEDA, Knative).
• Experience building or contributing to product roadmaps in an infrastructure or platform context.
• Experience in cloud infrastructure, developer platforms, enterprise software, or AI/ML products.
• Experience operating in high-growth or early-stage environments.

Join Nscale as we build a world-class AI cloud platform. If you're excited about owning the software that turns contracts into live GPU capacity, we'd love to hear from you!

At Nscale, we are committed to fostering an inclusive, diverse, and equitable workplace. We believe that a variety of perspectives enriches our work environment, and we encourage applications from candidates of all backgrounds, experiences, and abilities.  We strongly encourage applications from people of colour, the LGBTQ+ community, people with disabilities, neurodivergent people, parents, carers, and people from lower socio-economic backgrounds.

If there’s anything we can do to accommodate your specific situation, please let us know.

The responsibilities outlined in this job description are not exhaustive and are intended to provide a general overview of the position. The employee may be required to perform additional duties, tasks, and responsibilities as assigned by management, consistent with the skills and qualifications required for the role.

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