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Radiant

Operates sovereign AI infrastructure and compute

Senior/Principal Product Manager - Observability

Technical Product ManagementUpdated on Nov 14
Full-timeSan Francisco, CA, USAHybrid

About the Job

Requirements

  • Experience owning technical products, observability platforms, cloud infrastructure, developer platforms, or site reliability engineering tooling.
  • Strong understanding of observability concepts and modern cloud infrastructure.
  • Technical fluency across telemetry, including metrics, logs, traces, and events.
  • Technical fluency across monitoring, including alerting, dashboards, service-level objectives, service-level indicators, and service health.
  • Technical fluency across infrastructure, including data centers, GPUs, HPS (Weka, Vast, DDN), GPU Fabric, Kubernetes, and containers.
  • Technical fluency across data platforms, including ingestion, aggregation, retention, and querying.
  • Technical fluency across APIs and integrations, including OpenTelemetry, Prometheus, webhooks, and APIs.
  • Familiarity with tools such as Prometheus, Grafana, OpenTelemetry, Loki, Tempo, Datadog, Splunk, Elastic, or similar.
  • Strong understanding of cardinality, sampling, retention, cost, telemetry quality, and distributed system failure modes.
  • Ability to balance depth of visibility, usability, performance, and cost.
  • Strong prioritization and stakeholder management skills.
  • Ability to turn raw telemetry into useful, actionable product experiences.
  • Ability to work credibly across infrastructure, telemetry pipelines, APIs, and distributed systems.
  • Ability to understand how developers and operators debug and operate production workloads.
  • Ability to connect signals across compute, network, storage, applications, and platform services.

Responsibilities

  • Own the strategy, roadmap, and delivery for Radiant’s observability products and platform capabilities.
  • Define the customer and internal experience across metrics, logs, traces, alerts, dashboards, and service health.
  • Productize telemetry across compute, GPUs, networking, storage, Kubernetes, and platform services.
  • Translate customer and operational needs into clear product requirements, APIs, workflows, and priorities.
  • Partner with engineering and site reliability engineering on instrumentation, telemetry pipelines, retention, alerting, and observability architecture.
  • Improve troubleshooting, root-cause analysis, and incident response through better visibility and diagnostics.
  • Define capabilities for customer-facing monitoring, usage visibility, performance insights, and service health.
  • Drive integrations with APIs, software development kits, the web console, support tooling, and platform services.
  • Define success metrics across coverage, reliability, time-to-diagnosis, alert quality, adoption, and platform performance.
  • Drive observability capabilities from discovery through launch, adoption, and iteration.

About the Company

Radiant

Operates sovereign AI infrastructure and compute

Radiant builds and operates utility-scale AI infrastructure to provide sovereign AI cloud compute using its own powered data centers, long-term capital, and proprietary software. It runs AI factories for governments, enterprises, and telecom providers, enabling rapid, scalable AI workloads with resilience and energy efficiency. After merging with Ori Industries, it integrates distributed AI software directly with hardware to form a global AI utility that lowers energy costs and reduces dependence on centralized cloud providers. The goal is to securely deliver scalable AI compute across distributed locations as a global AI utility for governments, enterprises, and telecoms.

Company size
51-200
Company stage
Not listed
Total funding
Not listed
Headquarters
London, United Kingdom
Founded
2026

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