About this opportunity
Pomona College lists this Senior Product Manager, AI/ML Platform opportunity in san francisco, California. Review the employer’s description below for duties, qualifications and application requirements.
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:
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Worksite address
san francisco, CA, 94199, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.