Technical Product Manager, Kubernetes

Nscale is taking on the hyperscalers by building a vertically integrated GenAI cloud platform. As a Senior Technical Product Manager, you will own the product roadmap for Nscale Kubernetes Service and collaborate with various teams to translate customer needs into product outcomes.

Responsibilities:

• 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

Requirements:

• 2+ 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
• 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