Senior Product Manager, AI/ML Platform

Autodesk
Toronto
Workplace: OnsiteFull timeCAD 122,000 - 179,300 annuallyFunction: Product ManagementExperience: 3+ yearsEducation: bachelorsSkills: ["Communication","Cross-functional collaboration","Product judgment","Execution"]

Own the roadmap for Autodesk’s Machine Learning Platform, focusing on accelerating ML engineers’ and data scientists’ end-to-end workflows. Partner with platform, ML, and data teams to reduce operational friction across data exploration, experimentation, model deployment, inference, and downstream AI integration. Shape platform capabilities like model deployment, inference services, and AI/ML observability, driving interoperability and intuitive “golden path” experiences while monitoring usage and practitioner feedback to iterate continuously.

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FursaFursa
Autodesk
Autodesk
1 month ago

Senior Product Manager, AI/ML Platform

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 7 hours agoStatus: Live

Job Summary

Own the roadmap for Autodesk’s Machine Learning Platform, focusing on accelerating ML engineers’ and data scientists’ end-to-end workflows. Partner with platform, ML, and data teams to reduce operational friction across data exploration, experimentation, model deployment, inference, and downstream AI integration. Shape platform capabilities like model deployment, inference services, and AI/ML observability, driving interoperability and intuitive “golden path” experiences while monitoring usage and practitioner feedback to iterate continuously.
Location: Toronto
Workplace: Onsite
Employment Type: Full time
Job Function: Product Management
Seniority: Mid level

Key Responsibilities

  • •Define and execute roadmap priorities for the Autodesk ML Platform to accelerate workflows, interoperability, and practitioner productivity.
  • •Improve end-to-end operational workflows across data discovery/exploration, experimentation/model iteration, model deployment/inference, and downstream AI integration.
  • •Partner with ML engineers, data scientists, and platform engineers to identify workflow bottlenecks and simplify complex operational systems.
  • •Shape scalable platform capabilities across model deployment, inference services, AI/ML observability, and foundation model/generative AI support.
  • •Drive platform interoperability and establish intuitive “golden path” workflows; analyze usage and practitioner feedback to continuously improve.

Pay and Benefits

Salary: CAD 122,000 - 179,300 annually

Key Requirements

  • •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, and model deployment/operational AI systems.
  • •Familiarity with foundation models and generative AI approaches.
  • •Experience working closely with ML engineers, data scientists, or platform engineering teams, with demonstrated execution in ambiguous environments.
Experience:3+ yearsAI infrastructureDeveloper platformsML platforms
Education:Bachelor's
Skills:CommunicationCross-functional collaborationProduct judgmentExecution
Tech Stack:SnowflakeTrino

Company Brief

Autodesk
Provides design and engineering software for architecture, construction, manufacturing, media, and entertainment industries, offering CAD, BIM, and 3D modeling tools to enable product and infrastructure design workflows.
Industry: Enterprise Software
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: San Rafael, United States
Founded: 1982
Glassdoor
Glassdoor: 3.9
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