2,052,822open jobs
124,025companies
241,340added this week
Browse all
Salary
≈ $95k – $203k per year (Estimated)
Location
Hybrid (London, United Kingdom)
Seniority
Principal
Employment
Full-Time

Confirmed on the employer's own hiring board on Nov 2, 2026. First seen by Alion on Oct 13, 2026. Radiant scores A on the Alion truth index.

Overview
Company
Impact
Profile match
Radiant is a technology company that develops infrastructure products for artificial intelligence workloads. Its product teams work on machine learning operations, storage and compute infrastructure, and it hires product managers, field product engineers and machine learning product engineers. Most of its team is based in London, with a smaller presence in Paris. The company is headquartered in London, England, United Kingdom.

About our team:

Radiant is redefining how AI infrastructure is built.

We design and operate AI-native infrastructure platforms engineered for sovereignty, performance, and scale - powering GPU-native workloads, multi-tenant control planes, and high-performance AI systems for the most demanding environments. We are building purpose-built AI infrastructure from powered land, to compute, to software.

As we scale our operations and deploy capital into the next generation of AI infrastructure, we are looking to expand our product team with leaders who can combine technical strength with execution excellence and are driven to build.

Radiant was established by Brookfield, a leading global alternative asset manager with over US$1 trillion of assets under management across real estate, infrastructure, renewable power and transition, private equity and credit. Brookfield's global relationships, investment expertise and access to long-term institutional capital provide Radiant with a differentiated platform from which to develop, finance and operate AI infrastructure assets. This combination of entrepreneurial execution and institutional sponsorship enables Radiant to pursue large-scale GPU and AI infrastructure opportunities globally.

Job Summary:

As a Senior/Principal Product Manager - Cluster Platform, you will own the product experience and operational lifecycle for bringing new AI infrastructure clusters onto Radiant’s platform.

You’ll work across cluster onboarding, acceptance, validation, benchmarking, provisioning and automation, partnering closely with infrastructure, SRE, networking, storage, platform engineering, operations, and hardware teams.

This is a highly technical product role focused on making AI cluster deployment repeatable, measurable, automated, and production-ready at scale.

Key Responsibilities:

  • 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.

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

    • Networking: high-performance fabrics, RDMA, InfiniBand/Ethernet, topology

    • Storage: distributed storage, throughput, latency, data paths

    • Orchestration: Kubernetes, Slurm, containers, schedulers

    • Automation: infrastructure-as-code, configuration management, workflow engines

    • Observability: telemetry, health checks, diagnostics, performance monitoring

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

  • 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.

What you bring:

  • Cluster systems thinking: Understand how compute, GPUs, networking, storage, software, and orchestration interact as a complete system.

  • Product mindset: Turn manual deployment and acceptance processes into repeatable platform capabilities.

  • Technical fluency: Work credibly with engineering teams across hardware and software layers.

  • Operational discipline: Care about repeatability, quality gates, validation, and measurable readiness.

  • Automation mindset: Look for opportunities to eliminate manual steps and reduce deployment variance.

  • Ownership: Drive clusters from onboarding through acceptance, production readiness, and continuous improvement.

Our values:

  • Set the standard: Every single day, you spot opportunities to constructively shake things up

  • Inspire the change: There’s no blueprint for the future. You’ll embrace challenges and change

  • You’re real and you’re true to yourself: We cherish and celebrate diversity so you’ll feel right at home whoever you are and whoever you’re talking to, you treat everyone the same.

Why should you join us?

What sets us apart is our blend of modern technology, competitive benefits, and an open, welcoming work culture that enables our people to thrive.

Here are just some of the great things you can expect from us:

  • 25 days of annual leave

  • A culture that emphasises results over hierarchy, process & ego: we place great emphasis on the quality, ingenuity and creativity of work.

  • Open communication, regular feedback: we value smooth collaboration, direct and actionable feedback, and believe that leading with empathy and a growth mindset makes us better together.

  • Learning Time: we all have dedicated learning time to focus on new skills, projects or interests that lay outside of your day-to-day job.

  • Health & Wellbeing: we want everyone to feel healthy and happy, so we offer private medical insurance via Bupa.

  • Cycle to Work Scheme: we're committed to building a sustainable business, so we encourage cycling to work.

  • Gympass subscription to a variety of gyms and wellbeing apps

  • Participation in the company shares program

  • Enhanced parental pay & leave

Free account
Stop reading job ads. Get the ones that fit.
One free account turns this page into a shortlist built around your stack, your level and your pay.
Match on every job. Stack, seniority, pay and location, scored against your profile.
2,052,822 open roles. Read straight off company career pages, refreshed every day.
Unlimited applications. Every one you send is tracked in one place, on-site or on a company board.
3 tailored CVs a month. Rewritten for the exact job you are applying to. Included free.
Create a free account Continue with Google
Free forever. No card. Under a minute.

Your match

How well do you fit this role?
Two answers are enough for a real match. No account needed.
Check my fit
Answers stay in this browser until you create an account.

Recommended for you based on this role

Product
Similar stack
Same company
London
$105k – $110k per year · In office · 3+ years exp · Sizewell
Apply
In office · Chatham
Management
Agile
Apply
Hybrid · 8+ years exp · Bachelor's Degree · London
AI/ML
Claude
Multimodal AI
Anthropic
Interpretability
Apply
Hybrid · London
Cybersecurity
GDPR
Management
Agile
Waterfall
Apply
Hybrid · Full-Time · London
Apply
Senior QE Engineer 8 days ago
≈ $57k – $98k per year (Estimated) · In office · 8+ years exp · Toronto
Python
JavaScript
TypeScript
AI/ML
LLM
RAG
Frontend
GraphQL
DevOps
Rest API
Azure DevOps
GitHub Actions
Azure
CI/CD
Jenkins
Docker
Kubernetes
Self-Healing
QA
Playwright
Apply
DevSecOps Engineer 8 days ago
≈ $62k – $116k per year (Estimated) · In office · 8+ years exp · Toronto
Java
DevOps
Azure DevOps
GitHub Actions
Azure
CI/CD
Jenkins
Kubernetes
Azure AKS
Windows
Cybersecurity
PKI
Management
Agile
Apply
Software Engr II 8 days ago
In office · 4+ years exp · Bachelor's Degree · Madurai
JavaScript
Java
TypeScript
Java
Maven
Spring Boot
Hibernate
Gradle
Databases
Oracle
MS SQL
AI/ML
LangChain
Prompt Engineering
Semantic Kernel
RAG
OpenAI
Frontend
Angular
Bootstrap
React.js
DevOps
Rest API
GCP
Azure
CI/CD
Git
AWS
Docker
Kubernetes
Apply
$173k – $216k per year · In office · TS/SCI · Full-Time · 10+ years exp · Bachelor's Degree · McLean
Python
Java
C++
C++
TensorFlow C++
Databases
PostgreSQL
SQLite
AI/ML
Cursor
LangChain
Claude Code
MLFlow
Scikit-learn
TensorFlow
PyTorch
RAG
Hugging Face
Machine Learning
DevOps
OpenShift
CI/CD
Docker
Kubernetes
Linux
Apply
$144k – $180k per year · In office · Secret · Full-Time · 5+ years exp · Bachelor's Degree · McLean
AI/ML
Model Context Protocol
AI Agents
Kubeflow
LLM
LLMOps
Agentic Workflows
Machine Learning
DevOps
Kubernetes
Platform Engineering
Apply
≈ $98k – $184k per year (Estimated) · Hybrid · Full-Time · PhD · London
Python
AI/ML
LLM
DevOps
Kubernetes
Apply
≈ $87k – $186k per year (Estimated) · Hybrid · Full-Time · London
DevOps
Kubernetes
IAM
Cybersecurity
Zero Trust
Least Privilege
SIEM
Cryptography
Vault
Apply
≈ $92k – $196k per year (Estimated) · Hybrid · Full-Time · London
DevOps
Splunk
Loki
OpenTelemetry
Datadog
Prometheus
Kubernetes
Grafana
SLI/SLO/SLA
Apply
≈ $92k – $196k per year (Estimated) · Hybrid · Full-Time · London
AI/ML
LangChain
vLLM
MLFlow
Fine-tuning
PyTorch
Ray
Triton
Hugging Face
Machine Learning
DevOps
SLURM
Kubernetes
IAM
Apply
≈ $92k – $195k per year (Estimated) · Hybrid · Full-Time · London
DevOps
Terraform
Helm
Cilium
Prometheus
ArgoCD
Kubernetes
Grafana
Platform Engineering
DNS
Cybersecurity
Calico
Apply
$99k – $124k per year · Equity · Hybrid · Full-Time · London
SQL
Analytics
A/B Testing
Marketing
Google Ads
Apply
≈ $79k – $154k per year (Estimated) · Hybrid · Full-Time · 8+ years exp · Bachelor's Degree · London
DevOps
Incident Management
Management
ServiceNow
Apply
$22k per year · In office · Internship · London
Apply
Remote (Germany, United Kingdom, Czech Republic, Ireland, Poland) · London
JavaScript
TypeScript
Node JS
Node JS
Nest.JS
Databases
PostgreSQL
Apply
CFD Engineer 6 hours ago
Remote (United Kingdom) · Bachelor's Degree · London
Python
C++
Fortran
DevOps
Linux
Windows
Analytics
Microsoft Excel
Design
AutoCAD
Management
SharePoint
SpaceTech
ANSYS
OpenFOAM
Apply
See all jobs
This is one of many
2,052,822 more open roles from verified company boards, updated every day.