Senior AI/ML Platform Product Manager

Autodesk; Toronto; On-site; CAD 122,000 - 179,000; Full time

Job summary

Autodesk Canada is seeking an ML Platform Product Manager to define and execute the roadmap for the Autodesk Machine Learning Platform (AMP). You will partner with platform engineers, ML engineers, and data scientists to understand workflows, reduce friction, and boost productivity across data exploration, training, deployment, inference, and monitoring.

You will translate practitioner needs into clear product requirements and priorities, shape scalable platform capabilities, and drive adoption

Qualifications

• Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field
• 3+ years of product management experience focused on ML platforms, AI infrastructure, developer platforms, or technical workflow products
• Strong understanding of ML systems, lifecycle workflows, data/cloud/analytics ecosystems, and model deployment/inference

Responsibilities

• Define and execute roadmap priorities for the Autodesk ML Platform with a focus on practitioner productivity and platform adoption
• Translate practitioner needs into clear product requirements and priorities
• Improve end-to-end AI/ML workflows including data discovery, experimentation, deployment, inference, monitoring, and downstream AI integration
• Drive platform interoperability across data platforms, ML tooling, deployment systems, and observability solutions
• Establish intuitive golden path workflows for common AI/ML use cases while maintaining flexibility for advanced users
• Collaborate with cross-functional teams to drive onboarding, documentation, and measurable workflow improvements

Skills

ML platforms

Product management

Technical workflows

Cross-functional collaboration

Stakeholder communication

Education

Bachelor’s degree in Computer Science, Engineering or Data Science

Job description

Autodesk Canada is seeking an ML Platform Product Manager to define and execute the roadmap for the Autodesk Machine Learning Platform (AMP). You will partner with platform engineers, ML engineers, and data scientists to understand workflows, reduce friction, and boost productivity across data exploration, training, deployment, inference, and monitoring.

You will translate practitioner needs into clear product requirements and priorities, shape scalable platform capabilities, and drive adoption