Senior/Principal Product Manager - Cluster Platform

The role

You will own the product experience and operational lifecycle for bringing new AI infrastructure clusters onto the platform. You will work across onboarding, validation, provisioning, and automation by partnering with infrastructure, SRE, networking, storage, and hardware teams.

What you will do

• Own the strategy, roadmap, and delivery for cluster onboarding, validation, acceptance, and lifecycle management.
• Define the end-to-end process for taking new infrastructure from installed hardware to production-ready cluster.
• Productise and automate workflows across discovery, provisioning, configuration, testing, benchmarking, acceptance, and handover.
• Define cluster readiness and acceptance criteria across compute, GPUs, networking, storage, firmware, software, and reliability.
• Partner with engineering to build tooling and automation for cluster deployment, validation, remediation, and lifecycle operations.
• Define benchmarking frameworks for GPU performance, network fabric, storage throughput, collective communication, and workload performance.
• Build clear visibility into cluster state, readiness, failures, exceptions, and deployment progress.
• Identify recurring deployment friction and turn operational processes into scalable platform capabilities.
• Drive prioritisation, technical requirements, delivery, adoption, and continuous improvement across the cluster lifecycle.
• Define success metrics across time-to-ready, automation coverage, acceptance pass rates, deployment reliability, and cluster performance consistency.

Required qualifications

• Experience owning technical infrastructure, cloud platform, data centre, HPC, or AI infrastructure products.
• Strong understanding of the lifecycle involved in deploying and operating large-scale compute or GPU clusters.
• Strong technical fluency across Compute: GPU servers, bare metal, provisioning, firmware, hardware validation
• Strong technical fluency across Networking: high-performance fabrics, RDMA, InfiniBand/Ethernet, topology
• Strong technical fluency across Storage: distributed storage, throughput, latency, data paths
• Strong technical fluency across Orchestration: Kubernetes, Slurm, containers, schedulers
• Strong technical fluency across Automation: infrastructure-as-code, configuration management, workflow engines
• Strong technical fluency across Observability: telemetry, health checks, diagnostics, performance monitoring
• Strong understanding of failure handling, repeatability, configuration drift, acceptance testing, and operational automation.
• Able to work across hardware, software, infrastructure, and operations teams to drive a single product outcome.
• Strong prioritisation, communication, and stakeholder management skills.

Nice to have

• Familiarity with benchmarking and validation tools such as NCCL tests, HPL, MLPerf, GPU diagnostics, network and storage benchmarks, or similar.

Benefits

• 25 days of annual leave
• Learning Time
• Private medical insurance via Bupa
• Cycle to Work Scheme
• Gympass subscription to a variety of gyms and wellbeing apps
• Participation in the company shares program
• Enhanced parental pay & leave

About the company

Radiant designs and operates AI-native infrastructure platforms for sovereignty, performance, and scale. It was established by Brookfield, a global alternative asset manager.