---
title: 'Senior/Principal Product Manager - MLOps at Radiant'
canonical: 'https://feeny.ai/job/senior-principal-product-manager-mlops-radiant-london-kcstthnxt47n'
type: 'job'
last_seen: '2026-10-18'
---

# Senior/Principal Product Manager - MLOps at Radiant

- **Company:** Radiant
- **Location:** London, United Kingdom
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-10-06
- **Last confirmed live:** 2026-10-18
- **Apply:** https://jobs.ashbyhq.com/radiant/54da5cd5-3d63-4aad-9b6e-22bddd72a1c6

## Job description

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 - MLOps, you will own the strategy, roadmap, and delivery of Radiant’s machine learning platform and suite of AI/ML cloud services. You’ll work across GPU compute, training, inference, orchestration, model lifecycle, developer tooling, observability, and platform integrations, partnering closely with engineering, infrastructure, SRE, security, commercial teams, and customers. This is a highly technical product role focused on making it easier for customers to build, train, deploy, and operate ML workloads on Radiant’s neocloud platform.

Key Responsibilities:

- Own the strategy, roadmap, and delivery of Radiant’s MLOps and ML platform services.
- Define products across the ML lifecycle, including training, fine-tuning, model management, deployment, inference, and monitoring.
- Translate customer needs into clear product requirements, APIs, workflows, and priorities.
- Partner with engineering on GPU orchestration, Kubernetes, scheduling, storage, networking, and platform services.
- Work with ML engineers, researchers, and platform teams to improve developer experience, automation, and self-service.
- Drive prioritisation, delivery, launch, adoption, and continuous iteration.
- Define success metrics across performance, utilisation, reliability, adoption, and developer productivity.
- Evaluate build vs. buy vs. partner decisions across the MLOps and AI infrastructure ecosystem.

Qualifications:

- Experience owning technical products, cloud platforms, MLOps products, developer platforms, or AI infrastructure.
- Strong understanding of ML engineering and model lifecycle workflows.
- Strong technical fluency across:
- ML infrastructure: GPU compute, distributed training, inference, model serving
- Orchestration: Kubernetes, containers, schedulers, distributed workloads
- ML platforms: experiment tracking, model registries, pipelines, lifecycle management
- Developer experience: APIs, SDKs, CLIs, notebooks
- Infrastructure: storage, networking, IAM, observability, infrastructure-as-code
- Familiarity with tools such as PyTorch, Ray, Slurm, MLflow, Langchain, Hugging Face, vLLM, Triton, or similar.
- Able to balance performance, cost, usability, flexibility, and reliability.
- Strong prioritisation, communication, and stakeholder management skills.
- Comfortable taking ambiguous problems from discovery through delivery.

What you bring:

- ML platform thinking: Understand how compute, orchestration, training, deployment, and inference fit together.
- Product thinking: Turn complex AI infrastructure into simple, usable products.
- Technical fluency: Work credibly across GPUs, ML frameworks, distributed systems, storage, networking, and APIs.
- Customer empathy: Understand the needs of ML engineers, researchers, and platform teams.
- Ownership: Drive products from discovery through launch, adoption, and iteration.

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

## About Radiant

## Company Overview
- **One-liner**: Radiant is a vertically integrated AI infrastructure company that builds and operates AI factories combining utility-scale powered land, long-term capital, and a proprietary software platform.
- **Entity Type**: Private (portfolio company of Brookfield’s AI Infrastructure Fund)
- **Headquarters**: London, United Kingdom
- **Founded**: 2026 (formed via merger of Brookfield’s Radiant entity with Ori Industries)
- **Founders**: Mahdi Yahya (Founder & former CEO of Ori, now President of Radiant)

## Core Business
- **Primary industry**: AI Infrastructure / Cloud Computing / Data Centers
- **Target customers**: Sovereign governments, large enterprises, telecommunications providers (B2B, Enterprise, Sovereign)
- **Mission or purpose statement**: “Building the utility model for AI compute — ubiquitous, always on and offering superior economics. That model will power the intelligence revolution — giving every nation, enterprise and network the foundation to build what comes next.” [radiant.co](https://radiant.co/about)

## Products & Services
- **Radiant AI Cloud**: On-demand AI compute platform offering pre-configured bare metal offerings, GPU instances, and AI-as-a-Service offerings including Inference, Fine-Tuning, Model Registry, Kubernetes, and high-performance Storage.
- **AI Factories (Sovereign/Enterprise Deployments)**: Purpose-built, vertically integrated AI data centers built on the NVIDIA DSX reference design, offering utility-grade economics under long-term contracts for sovereign governments and select enterprises.
- **Powered Land Portfolio**: Access to over 5 GW live and 45 GW of renewable generation capacity globally — enabling rapid deployment of massive AI compute clusters at 20% below-market power costs through a mix of hydro, wind, geothermal, biomass, and dispatchable natural gas. [radiant.co](https://radiant.co/)
- **Proprietary Software Platform**: Dependency-free, lightweight architecture built on engineering first principles, featuring intelligent scheduling, automated node management, secure multi-tenancy, and a distributed control panel. Scales consistently from 10K to 100K+ GPUs.

## Market Standing
- **Valuation/Market Cap**: Not publicly disclosed as a private entity. Backed by Brookfield with access to a $100 billion investment program for AI Infrastructure (Brookfield AI Infrastructure Fund).
- **Key Metric**: Total funding — Backed by Brookfield, with “more than $100 billion in deployable capital” available to the fund. Radiant is the first compute deployment vehicle and second seed investment for Brookfield’s AI Infrastructure Fund. [radiant.co](https://radiant.co/press-release-launch)
- **Notable Investors/Partners**: Brookfield (global alternative asset manager), NVIDIA (Cloud Partner — using NVIDIA Blackwell, GB200 NVL72, and upcoming Rubin architectures)
- **Growth Signals**: Recently launched (February 24, 2026) via merger of Radiant and Ori Industries. Targeting the multi-trillion market for integrated AI factories over the next decade. Rapidly expanding Ori’s integrated AI Cloud assets with the latest NVIDIA platforms.

## Competitive Advantages
- **Vertically Integrated Model**: Uniquely combines capital (Brookfield), powered land (5 GW live, 45 GW renewable capacity), proprietary software (built from first principles), and compute (NVIDIA partnership) into a single platform — “from silicon to service.”
- **Cost Advantage**: 20% below-market power costs through a balanced energy mix.
- **Capital Advantage**: Direct pipeline to $100B+ investment program, enabling massive, long-duration projects that competitors cannot match.
- **NVIDIA DSX Reference Design**: First-mover advantage in deploying at scale using NVIDIA’s latest architectures (Blackwell, Rubin) with full design and operational ownership.
- **Sovereign Focus**: Positioned as a partner for nations seeking AI infrastructure independence — a growing geopolitical priority.

## Strategic Focus
- **Scale AI Factories Globally**: Rapidly deploy AI compute capacity using the NVIDIA DSX reference design for sovereign governments, enterprises, and telecoms under long-term contracts.
- **Expand the Ori Global AI Cloud**: Continue to grow the on-demand AI cloud for customers needing rapid deployment and flexible capacity.
- **Maintain Vertical Integration**: Control every layer from capital and energy to software and hardware, ensuring operational autonomy and superior economics.
- **Long-term Planning**: Aligned with the long-term demands of the AI economy — thinking in decades, not quarters.

## Why Work Here
- **Culture**: “Outcome oriented” — the company values people who get things done, dream bigger, think in longer timelines, and build the assets that make every other ambition possible. [radiant.co](https://radiant.co/about)
- **Remote/Hybrid Policy**: Flexible work options, including remote and hybrid arrangements.
- **Compensation**: Competitive compensation with performance-based incentives and meaningful stock options.
- **Benefits**: Learning and development support, family-friendly policies with paid parental leave, generous vacation and company holidays.
- **Engineering Culture**: Led by CTO Chris Galloway (previously CTO at Ori, with experience at Broadcom/Symantec) and VP Product Joao Coelho (former AWS Solutions Architect, co-founder of open-source Multy). The team is building a proprietary, dependency-free software platform from first principles — appealing to engineers who want deep technical ownership.
- **Growth Opportunity**: Early-stage (launched Feb 2026) with massive capital backing — employees can shape the company’s trajectory and work on infrastructure at unprecedented scale (10K to 100K+ GPUs).
- **Hiring**: Actively hiring across every department. [radiant.co](https://radiant.co/about)

## Sources
1. [radiant.co - Homepage](https://radiant.co/)
2. [radiant.co - About Page](https://radiant.co/about)
3. [radiant.co - Press Release Launch](https://radiant.co/press-release-launch)
4. [Tech.eu - Radiant and Ori Merge](https://tech.eu/2026/02/24/radiant-and-ori-merge-to-deliver-sovereign-ai-cloud-at-utility-scale/)
5. [radiant.co - Blog: The Age of Abundance in AI](https://radiant.co/blog/the-age-of-abundance-in-ai)

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