ML Product Manager

Job Requisition ID #

25WD88152

Position Overview

As a ML Platform Product Manager, you will help define and execute the multi-year product roadmap for Autodesk Machine Learning Platform, ensuring understanding of our strategic vision and the evolving needs of our diverse customer base. You will inspire creativity for us and lead enhanced user experiences for our customers. You will collaborate closely with teams including data scientists, engineers, and partners to develop and launch platform tools that enable the seamless integration of ML and AI features into Autodesk's software products, driving values and great user experiences for our platform users.

Responsibilities

• You will define and execute the product roadmap for the ML platform, with a focus on our Inference Service and AI/ML observability
• You will collaborate with other product managers to identify ML/AI opportunities at Autodesk and guide platform adoption
• You will maintain documentation for the ML platform, including user guides, API documentation, and release notes
• Analyze platform performance, usage, and customer feedback to inform product improvements and feature enhancements
• Establish relationships with internal and external stakeholders, including customers, partners, and vendors
• Stay current on industry trends, emerging technologies, and best practices in the ML and AI space to inform product strategy and maintain a competitive edge
• Promote a culture of innovation, experimentation, and data-driven decision-making within the product management team and across the organization

• Bachelor's degree in computer science, Engineering, Data Science, or a related field
• 5+ years of experience in product management, with a focus on ML or AI platforms, tools, and neural network technologies
• Deep understanding of machine learning and AI concepts, algorithms, and technologies, and challenges faced by ML and AI practitioners
• Experience drawing relevant insights from ambiguous data, with the ability to synthesize complex information and develop data-driven decision making
• Experience communicating product updates, milestones, and progress to internal and external partners, with the ability to collaborate across diverse teams and influence partners at all levels
• Understands risks and dependencies within a product area to drive complex projects
• Familiarity with large foundation models (LLM), generative models and transformer-based architecture
• Works collaboratively with architecture or engineering and XD to tackle risks up front before engineers are asked to build
• Proficient in at least several of both qualitative and quantitative techniques, participating in and continuing to build their toolkit
• Exposure to ethical or trustworthy AI