Impress employers and recruiters.
Choose from hundreds of resume examples.
Impress employers and recruiters.
Choose from hundreds of resume examples.
Tailor your resume to this Senior/Principal Product Manager - MLOps role.
Rezi rewrites your resume against Radiant's job description. Free.
Tailor your resume to this Senior/Principal Product Manager - MLOps role.
Rezi rewrites your resume against Radiant's job description. Free.
Don't guess if your resume is good enough.
See how it scores against the Senior/Principal Product Manager - MLOps posting at Radiant — free, in seconds.
Don't guess if your resume is good enough.
See how it scores against the Senior/Principal Product Manager - MLOps posting at Radiant — free, in seconds.
About the Role
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.
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.
Requirements
- 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, orchestration, ML platforms, developer experience, and infrastructure.
- 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.
Skills
- ML platform thinking
- Product thinking
- Technical fluency
- Customer empathy
- Ownership
Location
- Remote
Work Type
- Full-time
Experience Level
- Senior/Principal
Benefits
- 25 days of annual leave
- A culture that emphasises results over hierarchy, process & ego
- Open communication, regular feedback
- Dedicated learning time
- Private medical insurance via Bupa
- Cycle to Work Scheme
- Gympass subscription
- Participation in the company shares program
- Enhanced parental pay & leave
About the Company
- 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.
- 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.
Equal Opportunity
- 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.