Senior Product Manager, AI/ML Platform

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.

You will partner closely with platform engineers, ML engineers, and data scientists to improve end-to-end workflows spanning data exploration, experimentation, model deployment, inference, and downstream AI integration. This role is centered on reducing operational friction, improving experimentation velocity, and building cohesive platform experiences for technical practitioners.

We are looking for a technically fluent, execution-oriented product manager who is passionate about improving complex AI/ML workflows and productizing scalable platform capabilities.

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

Learn More

About Autodesk

Welcome to Autodesk! Amazing things are created every day with our software – from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made.

We take great pride in our culture here at Autodesk – it’s at the core of everything we do. Our culture guides the way we work and treat each other, informs how we connect with customers and partners, and defines how we show up in the world.

When you’re an Autodesker, you can do meaningful work that helps build a better world designed and made for all. Ready to shape the world and your future? Join us!

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.

Belonging
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