Senior Product Manager, AI/ML Platform
Quick Summary
data discovery and exploration experimentation and model iteration model deployment and inference downstream AI integration Partner closely with ML engineers, data scientists,
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
~1 min read- →
Define and execute roadmap priorities for the Autodesk ML Platform with a focus on workflow acceleration, interoperability, and practitioner productivity
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Improve end-to-end operational workflows across:
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data discovery and exploration
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experimentation and model iteration
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model deployment and inference
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downstream AI integration
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Partner closely with ML engineers, data scientists, and platform engineers to identify workflow bottlenecks and simplify complex operational systems
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Help shape scalable platform capabilities related to:
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model deployment
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inference services
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AI/ML observability
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foundation model and generative AI support
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Drive platform interoperability across data platforms, ML tooling, deployment systems, and analytics ecosystems
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Establish intuitive “golden path” workflows that improve usability while maintaining flexibility for advanced use cases
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Analyze platform usage, workflow friction, and practitioner feedback to drive continuous product improvement
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Collaborate with cross-functional teams to drive platform adoption through strong product experiences and measurable workflow improvements
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Stay current on evolving AI platform, LLMOps, inference, and developer tooling trends
Requirements
~1 min readBachelor’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
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
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!
Please search for open jobs and apply internally (not on this external site).
Location & Eligibility
Listing Details
- Posted
- July 14, 2026
- First seen
- July 30, 2026
- Last seen
- July 30, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 17%
- Scored at
- July 30, 2026
Signal breakdown
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