Principal Product Manager, Applied AI & Data Platforms

Socket.dev; California (MO); Hybrid; USD 124,000 - 222,000; Full time

Job summary

Autodesk is seeking a Principal Product Manager for the Applied AI, Data Science, and Data Engineering team within the Enterprise Systems and Experience group. You will shape roadmaps, prioritize work, and drive measurable outcomes that scale across the organization.

You will partner with engineering, data science, governance, and architecture to deliver AI/data products, dashboards, and self‑service analytics, while ensuring alignment with business value and stakeholder needs.

Qualifications

• 8+ years of product management experience owning roadmaps for data, analytics, or AI/ML platform products.
• Strong fluency in data and AI concepts — semantic data models, data pipelines, and ML/generative AI applications.
• Proven experience partnering with engineering, data science, architecture, and governance teams to scope and deliver complex, cross-functional initiatives.
• Excellent written and verbal communication skills, including experience presenting roadmaps, trade-offs, and business impact to executive stakeholders.
• Hands‑on experience with product and delivery tooling such as Jira, Airtable, and Confluence/Wiki.
• Bachelor's degree in a related field, or equivalent practical experience.

Responsibilities

• Translate strategy into detailed product roadmaps, execution plans, milestones, and measurable outcomes.
• Own roadmap development and prioritization across the enterprise data hub, AI-ready data products, self-service analytics, data-as-a-service capabilities, and semantic data models.
• Bring strong fluency in data, analytics, and AI, and apply it to help define dashboards and reporting as data and AI products.
• Make and defend prioritization decisions and communicate those decisions clearly to engineering and stakeholder teams.
• Lead intake, discovery, and backlog refinement across a high volume of stakeholder requests with a value-focused lens.
• Convert business needs into clear product requirements documents, user stories, acceptance criteria, business value statements, and delivery milestones.
• Partner with engineering, data science, applied AI, architecture, governance, and business stakeholders to ensure roadmap items are clearly scoped, sequenced, and delivered.
• Track roadmap progress, risks, dependencies, blockers, decisions, and stakeholder commitments to maintain delivery alignment.
• Drive adoption and product health measurement including usage, data quality, freshness, stakeholder satisfaction, and realized business value.
• Support executive communication through concise roadmap updates, delivery status, trade-off decisions, and business impact summaries.
• Maintain alignment across Airtable, Jira, Wiki, and related planning and documentation systems.
• Shift the team’s delivery model to a scalable portfolio of reusable, governed AI and data products Autodesk owns.

Skills

Product management

Data & AI concepts

Cross-functional collaboration

Communication

Delivery tooling

Education

Bachelor's degree

Tools

Jira

Airtable

Confluence/Wiki

Job description

Autodesk is seeking a Principal Product Manager for the Applied AI, Data Science, and Data Engineering team within the Enterprise Systems and Experience group. You will shape roadmaps, prioritize work, and drive measurable outcomes that scale across the organization.

You will partner with engineering, data science, governance, and architecture to deliver AI/data products, dashboards, and self‑service analytics, while ensuring alignment with business value and stakeholder needs.