Job Requisition ID #

26WD99140

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 making it easier and faster for Autodesk’s ML engineers and data scientists to build, test, deploy, and manage AI-powered solutions at scale. You will partner closely with platform engineers, ML engineers, and data scientists to understand how they work, identify the tools and processes that create friction, and prioritize platform improvements that increase productivity. Your focus will span end-to-end workflows including data exploration, experimentation, model deployment, inference, monitoring, and downstream AI integration. This role is centered on improving the experience of Autodesk’s internal AI/ML practitioners. You will help simplify complex technical processes, improve interoperability across tools and systems, and establish scalable workflows that allow teams to spend less time navigating infrastructure and more time developing AI capabilities. We are looking for a technically fluent, execution-oriented Product Manager who is passionate about improving complex AI/ML workflows and building scalable platform capabilities for technical users. You do not need to write machine learning code, but you should understand how modern AI/ML systems are developed and be comfortable discussing technical requirements, constraints, and tradeoffs with engineering teams.

Responsibilities

Define and execute roadmap priorities for the Autodesk ML Platform with a focus on practitioner productivity, workflow acceleration, interoperability, and platform adoption

Develop a deep understanding of ML engineers and data scientists as internal users, using practitioner feedback and platform data to identify pain points and prioritise improvements

Improve end-to-end AI/ML workflows across:

Data discovery and exploration

Experimentation, training, and model iteration

Model deployment and lifecycle management

Model serving and inference

Monitoring and observability

Downstream AI integration

Partner closely with ML engineers, data scientists, and platform engineers to identify workflow bottlenecks, understand root causes, and translate practitioner needs into clear product requirements and priorities

Help shape scalable platform capabilities related to:

Model deployment and serving

Inference services

AI/ML observability

Experiment and model lifecycle management





Foundation model and generative AI support

Large language model (LLM) workflows

Drive platform interoperability across data platforms, ML tooling, experimentation environments, deployment systems, observability solutions, and downstream applications

Establish intuitive “golden path” workflows that simplify common AI/ML use cases while maintaining flexibility for advanced practitioner needs

Prioritize competing user needs and platform investments based on practitioner impact, technical feasibility, dependencies, and broader product priorities

Analyze platform usage, adoption, workflow friction, and practitioner feedback to identify opportunities and drive continuous product improvement

Define measurable outcomes for platform capabilities, including improvements in adoption, workflow efficiency, experimentation velocity, deployment experience, and practitioner productivity

Collaborate with cross-functional product and engineering teams to drive platform adoption through strong product experiences, onboarding, documentation, and measurable workflow improvements

Communicate product priorities, requirements, decisions, and tradeoffs clearly across technical and cross-functional stakeholder groups

Stay current on evolving AI platforms, MLOps/LLMOps, inference, foundation models, generative AI, cloud infrastructure, 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, cloud, and analytics ecosystems

Model deployment, inference, and operational AI systems

Developer or technical practitioner workflows

Familiarity with contemporary AI approaches including foundation models, generative AI, and large language models (LLMs)

Experience working closely with ML engineers, data scientists, platform engineers, software engineers,



or other technical practitioners to understand user needs and translate them into product capabilities

Demonstrated ability to identify friction in complex technical workflows and translate those insights into clear product priorities and measurable improvements

Experience prioritizing competing needs and making product tradeoffs across user experience, technical complexity, scalability, and platform strategy

Ability to engage credibly in technical discussions and understand system-level concepts and constraints without needing to be the primary technical implementer

Demonstrated ability to drive execution in ambiguous, technically complex, and fast-changing environments

Strong product judgment, communication, prioritization, and cross-functional collaboration skills

Experience with AI/ML platforms, developer tools, cloud infrastructure, data platforms, or products designed for technical users is highly desirable

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 We take pride in cultivating a culture of belonging where everyone can thrive. Learn more here: https://www.autodesk.com/company/global-belonging

In-Person Onboarding and Identity Verification This role may require in-person onboarding and/or in-person ID verification.

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📌 Senior Product Manager, AI/ML Platform (Toronto)
🏢 Autodesk
📍 Toronto