Senior PM, Storage & Networking for AI GPU Platform

Radiant

Greater London

On-site

GBP 90,000 - 130,000

Full time

7 days ago
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Benefits offered by this job

25 days annual leave
Health and wellbeing benefits
Gympass access
Cycle to work
Company shares program
Enhanced parental pay

Job summary

Radiant is seeking a Senior/Principal Product Manager to own the storage and networking strategy underpinning our GPU platform. You’ll influence bare‑metal clusters, Kubernetes, high‑performance storage, and data‑centre networking, partnering with engineering, SRE, and operations to deliver scalable, reliable infrastructure for AI workloads.

You will drive prioritisation, define success metrics, and guide capacity planning while balancing performance, reliability, and cost across a fast‑growing

Qualifications

  • Experience owning technical infrastructure, platform, storage, networking, or cloud products end-to-end.

Responsibilities

  • Own the strategy, roadmap, and delivery for storage and networking capabilities across the GPU platform.
  • Define and prioritise storage capabilities based on customer, workload, performance, scale, and operational needs.
  • Define and prioritise networking capabilities across the platform, from data centre infrastructure through to customer and workload connectivity.
  • Partner with engineering to turn requirements into scalable, reliable platform services.
  • Drive improvements in automation, self‑service, observability, and operational efficiency.
  • Define success metrics and use them to guide performance, reliability, capacity, and investment decisions.

Skills

Systems thinking
Product thinking
Technical fluency
Prioritisation
Ownership

Job description

Radiant is seeking a Senior/Principal Product Manager to own the storage and networking strategy underpinning our GPU platform. You’ll influence bare‑metal clusters, Kubernetes, high‑performance storage, and data‑centre networking, partnering with engineering, SRE, and operations to deliver scalable, reliable infrastructure for AI workloads.

You will drive prioritisation, define success metrics, and guide capacity planning while balancing performance, reliability, and cost across a fast‑growing

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