Senior/Principal Product Manager - MLOps
Core
Own the strategy, roadmap, and delivery of Radiant's machine learning platform and suite of AI/ML cloud services to enable customers to build, train, deploy, and operate ML workloads.
Role type
Senior/Principal Product Manager - MLOps
Builds
GPU-native AI infrastructure platform including training, inference, orchestration, and model lifecycle management services
Domain
AI infrastructure / Cloud computing / MLOps
Deliverable
production ML models
Required skills
MLOps product strategy, ML lifecycle management, GPU compute orchestration, Kubernetes, distributed training, model serving, developer experience design, build vs buy evaluation
Preferred skills
Experience with PyTorch, Ray, Slurm, MLflow, Langchain, Hugging Face, vLLM, Triton
Technologies
Kubernetes, PyTorch, Ray, Slurm, MLflow, Langchain, Hugging Face, vLLM, Triton (via careerplan.io/jobs/54da5cd5-3d63-4aad-9b6e-22bddd72a1c6-seniorprincipal-product-manager-mlops-at-radiant)
Responsibilities
Define products across the ML lifecycle including training, fine-tuning, model management, deployment, inference, and monitoring; Translate customer needs into clear product requirements, APIs, and workflows; Partner with engineering on GPU orchestration, scheduling, storage, and networking; Drive prioritisation, delivery, launch, and adoption of MLOps services; Evaluate build vs buy vs partner decisions across the MLOps ecosystem
Seniority
Senior/Principal, hands-on IC
