Senior Product Manager, Observability (AI Cloud)

Location: UK

Company

Nscale is building a vertically integrated GenAI cloud platform spanning data centres, software, and applications for the AI stack.

What you will do

• Own the roadmap for the observability platform, including telemetry pipelines, log and metrics aggregation, trace collection, customer-facing APIs, and dashboards.
• Define how logs, metrics, and traces are captured from physical infrastructure, aggregated, and surfaced for fleet management and incident response.
• Set and optimise the alerting strategy by improving signal quality, reducing noise, and routing actionable alerts.
• Prioritise telemetry requirements as the fleet expands across new hardware, sites, and deployment types.
• Use incident reviews and site operations insights to turn manual effort and visibility gaps into platform capabilities.
• Define reliability and effectiveness metrics while mentoring junior product managers and improving product documentation and decision-making.

Requirements

• 5–8 years of product management experience, including ownership of observability, infrastructure, or operations-facing products.
• Experience building observability stacks that capture and surface logs, metrics, and traces at scale.
• Hands-on experience with Prometheus, Loki, Mimir, Datadog, Grafana, or OpenTelemetry.
• Experience with data centre or infrastructure deployment tooling, provisioning workflows, networking automation, or zero-touch deployment pipelines.
• Ability to work with operators and delivery teams, including SREs, infrastructure engineers, project controllers, and data centre technicians.
• Strong technical fluency in telemetry pipelines, time-series storage, alerting systems, observability integrations, and architecture trade-offs.

Nice to have

• Experience with bare-metal provisioning tools such as OpenStack Ironic or MAAS, or network automation tools such as NetBox or Nautobot.
• Degree in computer science or engineering, or prior experience as an engineer, SRE, or infrastructure operator.
• Familiarity with GPU infrastructure, accelerated computing, data centre operations, or hyperscaler-scale deployments.
• Experience with Jira Service Management, ServiceNow, Zendesk, or Freshservice.
• Experience in high-growth environments where the product is built alongside the fleet it monitors.

Culture & Benefits

• Work in a culture focused on innovation, ownership, accountability, transparency, collaboration, adaptability, and resilience.
• Contribute to an inclusive, diverse, and equitable workplace.
• Work closely with Fleet Software, Network Engineering, Data Centre Operations, engineering, design, go-to-market, and customer teams.
• Work on software that turns contracted capacity into live GPU infrastructure for an AI cloud platform.