ML Platform Product Lead: Boost AI/ML Productivity

Autodesk; Denver (CO); On-site; USD 140,000 - 180,000; Full time

Job summary

Autodesk is seeking an ML Platform Product Manager to define and drive the Autodesk Machine Learning Platform (AMP), enabling ML engineers and data scientists to build, test, deploy, and manage AI-powered solutions at scale.

You will partner with platform engineers, ML engineers, and data scientists to remove friction, improve interoperability, and advance end-to-end AI/ML workflows—from data discovery to deployment and monitoring.

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, cloud, and analytics ecosystems; Model deployment, inference, and operational AI systems; Developer or technical practitioner workflows; Familiarity with modern AI approaches including foundation models, generative AI, and LLMs.
• Experience working closely with ML engineers, data scientists, platform engineers, software engineers, or other technical practitioners to understand user needs and translate them into product capabilities.
• Demonstrated ability to identify friction in complex technical workflows and translate those insights into clear product priorities and measurable improvements.
• Experience prioritizing competing needs and making product tradeoffs across user experience, technical complexity, scalability, and platform strategy.
• Ability to engage credibly in technical discussions and understand system-level concepts and constraints without needing to be the primary technical implementer.
• Demonstrated ability to drive execution in ambiguous, technically complex, and fast-changing environments.
• Strong product judgment, communication, prioritization, and cross-functional collaboration skills.
• Experience with AI/ML platforms, developer tools, cloud infrastructure, data platforms, or products designed for technical users is highly desirable.

Responsibilities

• Define and execute roadmap priorities for the Autodesk ML Platform with a focus on practitioner productivity, workflow acceleration, interoperability, and platform adoption
• Develop a deep understanding of ML engineers and data scientists as internal users, using practitioner feedback and platform data to identify pain points and prioritize improvements
• Improve end-to-end AI/ML workflows across data discovery and exploration
• Experimentation, training, and model iteration
• Model deployment and lifecycle management
• Model serving and inference
• Monitoring and observability
• Downstream AI integration
• Partner closely with ML engineers, data scientists, and platform engineers to identify workflow bottlenecks, understand root causes, and translate practitioner needs into clear product requirements and priorities
• Help shape scalable platform capabilities related to model deployment and serving
• Inference services
• AI/ML observability
• Experiment and model lifecycle management
• Foundation model and generative AI support
• Large language model (LLM) workflows
• Drive platform interoperability across data platforms, ML tooling, experimentation environments, deployment systems, observability solutions, and downstream applications
• Establish intuitive 'golden path' workflows that simplify common AI/ML use cases while maintaining flexibility for advanced practitioner needs
• Prioritize competing user needs and platform investments based on practitioner impact, technical feasibility, dependencies, and broader product priorities
• Analyze platform usage, adoption, workflow friction, and practitioner feedback to identify opportunities and drive continuous product improvement
• Define measurable outcomes for platform capabilities, including improvements in adoption, workflow efficiency, experimentation velocity, deployment experience, and practitioner productivity
• Collaborate with cross-functional product and engineering teams to drive platform adoption through strong product experiences, onboarding, documentation, and measurable workflow improvements
• Communicate product priorities, requirements, decisions, and tradeoffs clearly across technical and cross-functional stakeholder groups
• Stay current on evolving AI platforms, MLOps/LLMOps, inference, foundation models, generative AI, cloud infrastructure, and developer tooling trends

Skills

ML platforms

Product management

Cross-functional collaboration

Technical discussions

Ambiguity handling

Education

Bachelor's degree in CS/Engineering/Data Science

Job description

Autodesk is seeking an ML Platform Product Manager to define and drive the Autodesk Machine Learning Platform (AMP), enabling ML engineers and data scientists to build, test, deploy, and manage AI-powered solutions at scale.

You will partner with platform engineers, ML engineers, and data scientists to remove friction, improve interoperability, and advance end-to-end AI/ML workflows—from data discovery to deployment and monitoring.