Principal PM, Applied AI & Data Platform

Autodesk, Inc.; California (MO); Hybrid; USD 124,000 - 222,000; Full time

Job summary

Autodesk, Inc. is seeking a Principal Product Manager for the Applied AI, Data Science, and Data Engineering team within the Enterprise Systems and Experience (ESE) organization.

This role will shape roadmaps, prioritize work, and deliver measurable outcomes across enterprise data products and AI capabilities. You will collaborate with engineering, data science, governance, and business stakeholders to ensure clear scope, sequencing, and delivery, while driving adoption and tracking business

Qualifications

• 8+ years in product management with data/analytics/AI/ML platform products
• Fluent in data, analytics, and AI concepts to partner credibly with engineering and data science
• Experience collaborating with governance, architecture, and cross-functional teams

Responsibilities

• Translate strategy into detailed product roadmaps, execution plans, milestones, and measurable outcomes
• Own roadmap development and prioritization across the enterprise data hub and AI products
• Define dashboards and reporting as data and AI products
• Convert business needs into clear product requirements documents and user stories
• Partner with engineering, data science, applied AI, architecture, governance, and business stakeholders to ensure scope, sequencing, and delivery
• Drive adoption and product health measurement including usage, data quality, and business value
• Support executive communication with concise roadmap updates and business impact summaries

Skills

Roadmap ownership

Cross-functional collaboration

Executive communication

Product management

Data & AI concepts

Education

Bachelor's degree or equivalent

Tools

Jira

Airtable

Confluence/Wiki

Job description

Autodesk, Inc. is seeking a Principal Product Manager for the Applied AI, Data Science, and Data Engineering team within the Enterprise Systems and Experience (ESE) organization.

This role will shape roadmaps, prioritize work, and deliver measurable outcomes across enterprise data products and AI capabilities. You will collaborate with engineering, data science, governance, and business stakeholders to ensure clear scope, sequencing, and delivery, while driving adoption and tracking business