Senior Product Manager, AI/ML Platform

Pomona College; San Francisco (CA); On-site; USD 160,000 - 230,000; 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). You will collaborate with platform engineers, ML engineers, and data scientists to accelerate data exploration, experimentation, deployment, inference, and AI integration, reducing friction and boosting velocity for practitioners.

The role focuses on productizing scalable platform capabilities, improving observability, and enabling adoption of cutting-edge AI

Qualifications

• 3+ years of product management focused on ML platforms, AI infrastructure, or technical workflow products.
• Strong understanding of machine learning systems and lifecycle workflows.
• Familiarity with modern AI approaches including foundation models and generative AI.
• Experience collaborating with ML engineers, data scientists, or platform engineering teams.

Responsibilities

• Define and execute roadmap priorities for the Autodesk ML Platform, focusing on workflow acceleration and productivity.
• Improve end-to-end workflows across data discovery, experimentation, deployment, inference, and integration.
• Partner with ML engineers, data scientists, and platform engineers to identify bottlenecks and simplify systems.
• Shape scalable platform capabilities for deployment, inference, observability, and AI/ML support.
• Drive interoperability across data platforms, tooling, deployment systems, and analytics ecosystems.
• Establish golden path workflows to balance usability and advanced flexibility.
• Analyze usage and feedback to drive continuous product improvement.
• Collaborate with cross-functional teams to drive platform adoption with measurable improvements.

Skills

ML platforms

AI infrastructure

Developer platforms

Lifecycle workflows

Foundation models

Cross-functional collaboration

Education

Bachelor's degree in CS/Engineering/Data Science or related

Tools

Snowflake

Trino

Job description

and the job listing Expires on October 20, 2026

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

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