Principal PM, Applied AI & Data Platform

Autodesk, Inc

Oregon

On-site

USD 124,000 - 222,000

Full time

3 days ago
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Job summary

Autodesk, Inc. is seeking a Principal Product Manager for the Applied AI, Data Science, and Data Engineering portfolio within the ESE organization.

You will translate strategy into concrete roadmaps, own the enterprise data hub, and drive AI-ready data products and self-service analytics to deliver measurable business value across teams. You will partner with engineering, data science, governance, and business stakeholders to scope, sequence, and deliver high-impact capabilities, dashboards, and

Qualifications

  • 8+ years of product management experience.
  • Strong fluency in data and AI concepts (semantic data models, data pipelines, ML/AI apps).
  • Proven experience partnering with engineering, data science, architecture, and governance teams.
  • Excellent written and verbal communication skills for executive roadmaps and trade-offs.

Responsibilities

  • Translate strategy into product roadmaps, milestones, and measurable outcomes.
  • Own roadmap development and prioritization across enterprise data hub and AI products.
  • Lead intake, discovery, backlog refinement, and conversion of business needs into clear requirements.
  • Drive adoption and product health measurement (usage, data quality, stakeholder value).

Skills

Roadmaps
Data concepts
AI/ML platform
Cross-functional collaboration
Communication

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 portfolio within the ESE organization.

You will translate strategy into concrete roadmaps, own the enterprise data hub, and drive AI-ready data products and self-service analytics to deliver measurable business value across teams. You will partner with engineering, data science, governance, and business stakeholders to scope, sequence, and deliver high-impact capabilities, dashboards, and

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