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Nscale

Develops and operates AI data centers

Staff Product Manager - IAAS Platform

Technical Product ManagementConfirmed live in the last 24 hours
Full-timeNew York, NY, USAIn-person

About the Job

Requirements

  • 5–8 years of product management experience in software or technology, including a track record of owning significant product areas in infrastructure, platform, or operations-facing products.
  • Strong technical fluency in large-scale systems, including leading engineering discussions about architecture, trade-offs, and feasibility across provisioning, orchestration, observability, and control-plane design.
  • Experience building products for operators such as SREs, NOC/support teams, data centre technicians, or similar, and understanding their workflows.
  • Demonstrated ability to turn an ambiguous operational problem space into shipped product outcomes that measurably improve reliability, efficiency, or time-to-recover.
  • Experience mentoring or informally leading peers.
  • Experience with data centre networking technologies, including InfiniBand and RoCE (RDMA over Converged Ethernet), and understanding how backend (east–west/compute) and frontend (north–south/storage and management) network fabrics are designed and operated at scale.
  • Familiarity with WAN, edge, and global backbone architectures, including multi-site connectivity, peering, and traffic engineering for a globally distributed GPU fleet.
  • Experience partnering with network engineering teams on fabric health, congestion monitoring, and link-level failure workflows, ideally where network performance directly impacts training or inference workloads.

Responsibilities

  • Own strategy and roadmap for a significant Fleet Operations product area, such as provisioning and bring-up, fleet health and telemetry, incident and repair workflows, firmware and lifecycle management, or capacity and inventory.
  • Lead multi-sprint, cross-functional initiatives from problem framing through rollout across live GPU clusters, working with Fleet Software, SRE, data centre operations, and Support.
  • Shadow on-call rotations, accompany support and repair workflows, and translate recurring operational toil into tooling, automation, and platform capabilities.
  • Define metrics for a GPU fleet, including availability, utilisation, MTTR, time-to-bring-up, hardware failure rates, and support ticket deflection, and drive the roadmap against them.
  • Partner with engineering on architecture and trade-offs for systems spanning bare metal, orchestration, observability, and control planes.
  • Drive incident reviews and postmortems into product commitments and ensure recurring classes of issues are addressed.
  • Mentor junior product managers and raise the quality bar for PRDs, reviews, and product decisions across the team.
  • Represent Fleet Operations in planning, reviews, and leadership updates.

Desired Qualifications

  • A degree in computer science, engineering, or a related field, or prior experience as an engineer or SRE.
  • Hands-on background in cloud infrastructure, bare-metal provisioning, fleet or hardware lifecycle management, observability/monitoring platforms, or incident management tooling.
  • Experience with bare-metal provisioning systems such as OpenStack Ironic, MAAS, Tinkerbell, or in-house provisioning stacks.
  • Experience with DCIM tools such as NetBox, Device42, or Nautobot for inventory, cabling, and rack/asset management.
  • Experience with ITSM and ticketing platforms such as Jira Service Management, ServiceNow, Zendesk, or Freshservice for support, incident, and RMA workflows.
  • Experience with observability and monitoring platforms such as Grafana, Prometheus, and Datadog, ideally including defining SLOs, dashboards, and alerting for large fleets.
  • Familiarity with GPU or accelerated compute environments, data centre operations, or hyperscaler-style fleet management.
  • Experience operating in high-growth or early-stage environments where the product is being built alongside the fleet itself.

About the Company

Nscale

Develops and operates AI data centers

Nscale provides end-to-end AI infrastructure by designing, owning, and operating data centers, GPU compute, networking, storage, and managed AI cloud services for enterprises, governments, and AI developers. It offers a full stack from colocated data centers to high-performance GPUs and networking, plus managed cloud services, so customers can run AI workloads efficiently with sovereign European deployments powered by renewables and US campus expansions. Unlike many peers, Nscale combines complete infrastructure ownership with a focus on sovereign, renewable-powered sites and strong capital partnerships to support large-scale, secure AI workloads. Its goal is to become a leading, scalable AI infrastructure provider that enables governments, enterprises, and AI builders to deploy and run AI applications quickly and securely on sovereign data centers with global capacity.

Company size
1,001-5,000
Company stage
Debt Financing
Total funding
$9.8B
Headquarters
London, United Kingdom
Founded
2024

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