Senior Product Manager, AI/ML Platform

Autodesk; Toronto; On-site; CAD 122,000 - 179,300; Full time

Job summary

Autodesk is seeking an ML Platform Product Manager to define and execute the roadmap for the Autodesk Machine Learning Platform (AMP), enabling ML engineers and data scientists to build, operationalize, and scale AI systems across Autodesk.

You will partner with ML engineers, data scientists, and platform engineers to remove bottlenecks, shape platform capabilities for deployment, observability, and generative AI, and drive adoption through strong product experiences and measurable improvements.

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, or developer platforms.
• Strong understanding of ML systems, data analytics ecosystems, and model deployment.
• Familiarity with foundation models and generative AI.
• Experience collaborating with ML engineers, data scientists, and platform teams.
• Proven ability to improve technical-user workflows and drive execution in ambiguous environments.
• Strong product judgment and cross-functional collaboration skills.

Responsibilities

• Define and execute roadmap priorities for the Autodesk ML Platform (AMP).
• Collaborate with ML engineers, data scientists, and platform engineers to remove bottlenecks.
• Shape platform capabilities for deployment, inference, observability, and AI/ML workflows.
• Drive platform interoperability across data platforms, tooling, and analytics ecosystems.
• Establish intuitive workflows and drive adoption with measurable improvements.

Tools

Snowflake

Trino

Job description

Position Overview

As an ML Platform Product Manager, you will help define and execute the roadmap for the Autodesk Machine Learning Platform (AMP), focused on accelerating how ML engineers and data scientists build, operationalize, and scale AI systems across Autodesk.

Responsibilities

• Define and execute roadmap priorities for the Autodesk ML Platform with a focus on workflow acceleration, interoperability, and practitioner productivity
• Improve end-to-end operational workflows across:
  • data discovery and exploration
  • experimentation and model iteration
  • model deployment and inference
  • downstream AI integration
• Partner closely with ML engineers, data scientists, and platform engineers to identify workflow bottlenecks and simplify complex operational systems
• Help shape scalable platform capabilities related to:
  • model deployment
  • inference services
  • AI/ML observability
  • foundation model and generative AI support
• Drive platform interoperability across data platforms, ML tooling, deployment systems, and analytics ecosystems
• Establish intuitive golden path workflows that improve usability while maintaining flexibility for advanced use cases
• Analyze platform usage, workflow friction, and practitioner feedback to drive continuous product improvement
• Collaborate with cross-functional teams to drive platform adoption through strong product experiences and measurable workflow improvements
• Stay current on evolving AI platform, LLMOps, inference, and developer tooling trends

Minimum 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:
  • machine learning systems and lifecycle workflows
  • data and analytics ecosystems
  • model deployment and operational AI systems
• Familiarity with modern AI approaches including foundation models and generative AI
• Experience working closely with ML engineers, data scientists, or platform engineering teams
• Demonstrated ability to improve technical-user workflows and drive execution in ambiguous environments
• Strong product judgment, communication, and cross‑functional collaboration skills

Preferred Qualifications

• Experience with AI/ML platforms supporting experimentation, deployment, or inference workflows
• Familiarity with modern data platforms and query ecosystems (e.g., Snowflake, Trino)
• Experience improving developer or practitioner productivity through platform design
• Exposure to AI observability, evaluation, or workflow automation systems

Salary Transparency

Salary is one part of Autodesk’s competitive compensation package. For Canada‑based roles, we expect a starting base salary between $122,000 and $179,300. Offers are based on the candidate’s experience and geographic location, and may exceed this range. In addition to base salaries, our compensation package may include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package.