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Senior Product Manager (AI/ML Platform)

Autodesk · Toronto, Canada

External listingfull-time19 days ago

About The Role

Join Autodesk as a Senior Product Manager for the Autodesk Machine Learning Platform (AMP). In this role, you will define and execute the roadmap for AMP, focusing on accelerating how ML engineers and data scientists build, operationalize, and scale AI systems. You will work closely with platform engineers, ML engineers, and data scientists to improve end-to-end workflows and reduce operational friction. The ideal candidate will have a strong background in product management, AI/ML platforms, and technical workflow products.

  • Definir y ejecutar las prioridades de la hoja de ruta para la plataforma de aprendizaje automático de Autodesk, centrándose en la aceleración del flujo de trabajo, la interoperabilidad y la productividad del practicante.
  • Mejorar los flujos de trabajo operativos de extremo a extremo en áreas como el descubrimiento y la exploración de datos, la experimentación y la iteración del modelo, el despliegue del modelo y la inferencia.
  • Colaborar con equipos multifuncionales para impulsar la adopción de la plataforma a través de experiencias de producto sólidas y mejoras medibles en el flujo de trabajo.
  • Strong product judgment, communication, and cross-functional collaboration skills
  • Familiarity with modern AI approaches including foundation models and generative AI
  • Model deployment and operational AI systems
  • Strong understanding of:
  • Experience working closely with ML engineers, data scientists, or platform engineering teams
  • 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
  • Data and analytics ecosystems
  • Demonstrated ability to improve technical-user workflows and drive execution in ambiguous environments
  • Machine learning systems and lifecycle workflows
  • 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

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