UK remote
Senior Field Product Engineer
About this role
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 finance 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 Field Product Engineer, you will work directly with customers to help them adopt, integrate, and get value from Radiant’s cloud platform. You’ll sit at the intersection of product, engineering, solutions, and the customer, working hands-on across APIs, infrastructure, integrations, developer tooling, and production workloads.
This is a highly technical, customer-facing role focused on solving real problems in the field, accelerating deployments, and feeding product insight directly back into the platform. Key Responsibilities: - Work directly with customers on technical discovery, onboarding, integration, and deployment. - Build prototypes, integrations, tooling, and reference implementations to unblock customer use cases. - Translate customer requirements and field feedback into clear product and engineering priorities.
- Support complex workloads across compute, storage, networking, Kubernetes, identity, and platform services. - Investigate and resolve technical friction across APIs, SDKs, automation, and infrastructure. - Partner with product and engineering on product gaps, usability issues, and new platform capabilities. - Create reusable solutions, documentation, examples, and best practices from customer engagements. - Support proofs of concept, technical evaluations, and early deployments.