Senior Technical Product Manager, Kubernetes

About Nscale

Nscale is taking on the hyperscalers by building a vertically integrated GenAI cloud platform. We own the data centres, software, and applications that power today's AI stack using sustainable technology solutions. We thrive on a culture of relentless innovation, ownership, and accountability, where every team member takes pride in their work and drives it with excellence and urgency. As an Nscaler, you'll build trust through openness and transparency, where everyone is inspired to do their best work. Collaboration is key, and we work together swiftly and respectfully, embracing adaptability and resilience in all we do.

About the role

Technical Product Managers at Nscale own the definition, delivery, and ongoing evolution of a slice of the Nscale platform. You partner closely with engineering, design, research, and go-to-market teams to translate customer problems and business goals into shippable product outcomes. TPMs work across the full breadth of Nscale — from core infrastructure primitives to managed platform services, developer experience, and internal tools — wherever product leverage is needed. As a Senior Technical Product Manager working with the Cloud Platform team, you'll own the product roadmap for Nscale Kubernetes Service (NKS) and our broader orchestration and scheduling services. You'll work day-to-day with platform engineers and cloud native engineers to deliver managed Kubernetes and the orchestration primitives that power workloads across the Nscale cloud. You operate at team scope, driving multi-quarter initiatives within a single team. Senior Technical Product Manager, Kubernetes

What you'll be doing

• Own the 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.
• Lead multi-sprint, cross-functional initiatives from problem framing through launch and measurement — spanning the full lifecycle of orchestration services.
• Translate deep customer needs (AI/ML workloads, GPU scheduling, multitenant platform teams, enterprise operators) into a crisp, prioritised roadmap.
• Drive meaningful ambiguity: clarify unclear problem statements, align stakeholders across cloud, infra, and GTM, and define what "done" looks like.
• Partner with design and research to shape deep product experiences for platform operators and application developers, and validate hypotheses before committing engineering resources.
• Mentor junior product managers and raise the quality bar for PRDs, reviews, and product decisions across the team.
• Represent NKS and orchestration services in planning, reviews, and leadership updates. Define and drive the metrics that matter — reliability, time-to-cluster, workload density, cost efficiency, and developer experience.

What you need

• 5–8 years of product management experience in software or technology, with a track record of owning significant product areas.
• Hands-on experience building or shipping 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.
• Strong technical fluency: you can lead discussions with platform and cloud native engineers on architecture, trade-offs, and feasibility for distributed systems and multi-tenant platforms.
• Demonstrated ability to move from an ambiguous problem space to shipped product outcomes in an infrastructure or platform context.
• Experience mentoring or informally leading peers. Excellent written and verbal communication; you can make complex technical product decisions legible to engineers, customers, and executives alike.

Nice to haves

• 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 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 shaping managed Kubernetes and orchestration services at the heart of our cloud, and raising the bar for the team around you, 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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