Senior PM, AI Infrastructure & MLOps Platform (Remote)

DeepRec.ai; Greater London; Remote; GBP 90,000 - 140,000; Full time

Job summary

DeepRec.ai is looking for a Technical Product Manager to own a platform that helps businesses build, train and deploy ML models at scale. You’ll define the vision, shape the roadmap and work closely with engineers, ML specialists and customers to improve how AI models are developed and operated.

You’ll lead cross-functional efforts to turn complex technical and customer requirements into clear product decisions, partnering with engineering teams and customers to drive adoption and impact in a

Qualifications

• 5+ years of Product Management experience, ideally owning technical platform or infrastructure products.
• Experience with ML platforms, MLOps, AI infrastructure or cloud-based developer products.
• A good understanding of machine learning workflows, including model training, deployment and inference.
• Knowledge of technologies such as Kubernetes, PyTorch, Ray, Slurm or similar.
• Experience defining product strategy, building longer-term roadmaps and working closely with engineering teams and technical customers.
• A strong technical understanding through education or hands-on experience.

Responsibilities

• Own product direction and long-term roadmap for AI infrastructure platform.
• Collaborate with engineers, ML specialists and customers to translate complex requirements into clear product decisions.
• Shape how models are trained, deployed and served in production to improve reliability and performance.

Skills

Product management

ML platforms

MLOps

Cloud-based developer products

Tools

Kubernetes

PyTorch

Ray

Slurm

Job description

DeepRec.ai is looking for a Technical Product Manager to own a platform that helps businesses build, train and deploy ML models at scale. You’ll define the vision, shape the roadmap and work closely with engineers, ML specialists and customers to improve how AI models are developed and operated.

You’ll lead cross-functional efforts to turn complex technical and customer requirements into clear product decisions, partnering with engineering teams and customers to drive adoption and impact in a