Staff Product Manager, IAAS Platform
About The Position
Nscale is building a vertically integrated GenAI cloud platform spanning data centres, software, and applications, with a focus on sustainable technology. The company describes its culture as centered on innovation, ownership, accountability, openness, transparency, collaboration, adaptability, and resilience. Technical Product Managers define, deliver, and evolve parts of the Nscale platform in partnership with engineering, design, research, and go-to-market teams. This role owns product strategy for Fleet Operations software supporting the day 0–2+ lifecycle of a global GPU fleet: bringing capacity online, maintaining fleet health, and restoring service when issues arise. The product area may include provisioning and bring-up, fleet health and telemetry, incident and repair workflows, firmware and lifecycle management, or capacity and inventory. The role operates at team scope and drives multi-quarter initiatives affecting fleet availability, utilisation, and time to recover. The product manager works closely with Fleet Software engineering, SRE, data centre operations, and Support. They turn operational problems into product capabilities across provisioning, testing and deployment, monitoring, incident response, repair, RMA, firmware, and decommissioning. They also contribute to product planning and reviews, mentor junior product managers, and communicate decisions to engineers, operators, and executives. The posting describes the position in one section as a Senior Technical Product Manager for Fleet Operations and gives the role header as “Staff Product Manager, IAAS Platform.”
Requirements
- 5–8 years of product management experience in software or technology, with a track record of owning significant product areas in infrastructure, platform, or operations-facing products.
- Strong technical fluency in large-scale systems and ability to lead 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 or support teams, data centre technicians, or similar, and interest in understanding their workflows.
- Demonstrated ability to turn ambiguous operational problems into shipped product outcomes that measurably improve reliability, efficiency, or time to recover.
- Experience mentoring or informally leading peers.
- Excellent written and verbal communication, including the ability to make complex product decisions clear to engineers, operators, and executives.
- Experience with data centre networking technologies, including high-performance GPU interconnects such as InfiniBand and RoCE, and understanding of backend east–west/compute and frontend north–south/storage and management network fabrics 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 affects training or inference workloads.
Nice To Haves
- 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 or 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 or 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, or 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 in high-growth or early-stage environments where the product is built alongside the fleet itself.
Responsibilities
- Own the 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 cross-functional, multi-sprint initiatives from problem framing through rollout across live GPU clusters, working with Fleet Software, SRE, data centre operations, and Support.
- Understand operational workflows by shadowing on-call rotations and support and repair processes, then translate recurring toil into tooling, automation, and platform capabilities.
- Define and drive the roadmap against GPU fleet metrics, including availability, utilisation, MTTR, time to bring up, hardware failure rates, and support ticket deflection.
- Partner with engineering on architecture and trade-offs for systems spanning bare metal, orchestration, observability, and control planes.
- Turn incident reviews and postmortems into product commitments and ensure recurring issue classes are addressed.
- Mentor junior product managers and improve the quality of PRDs, reviews, and product decisions across the team.
- Represent Fleet Operations in planning, reviews, and leadership updates.
Benefits
- The role may be eligible for bonus, equity, and/or commission programs.
- Nscale may offer a competitive benefits package including medical, dental, and vision coverage, flexible paid time off, parental leave, and retirement plan participation.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
