Principal Product Manager, Applied AI & Data Science

Autodesk; Portland (OR); On-site; USD 124,000 - 222,000; Full time

Benefits offered by this job

Health benefits

Financial benefits

Time off

Wellness program

Job summary

Autodesk seeks a Principal Product Manager for the Applied AI, Data Science, and Data Engineering team within Enterprise Systems and Experience. You will own the enterprise data foundation and develop scalable AI and data products with measurable outcomes.

You will translate strategy into roadmaps, guide prioritization, and drive adoption across the data hub, AI-ready data products, and self-service analytics.

Qualifications

• 8+ years of product management experience, including data/AI/ML platform roadmaps.
• Strong fluency in data, analytics, and AI concepts to partner with engineering/data science.
• Proven experience delivering cross-functional, complex initiatives with governance.
• Excellent written and verbal communication for executive stakeholders.
• Hands-on with Jira, Airtable, Confluence/Wiki for product delivery.
• Bachelor’s degree in a related field, or equivalent experience.

Responsibilities

• Translate product strategy into detailed roadmaps, milestones, and measurable outcomes.
• Own roadmap development across enterprise data hub and AI-ready data products.
• Define dashboards and reporting as data and AI products.
• Defend prioritization decisions and communicate trade-offs clearly to engineering and stakeholders.
• Lead backlog refinement across a high volume of stakeholder requests with a value-forward lens.
• Convert business needs into product requirements, user stories, acceptance criteria, and milestones.
• Partner with engineering, data science, architecture, governance, and business stakeholders to scope and deliver roadmap items.
• Track roadmap progress, risks, dependencies, blockers, and commitments to maintain delivery alignment.
• Drive adoption and product health measures, including usage, data quality, and realized value.
• Provide executive roadmap updates and business impact summaries.

Skills

PM leadership

Data & AI concepts

Executive communication

Stakeholder alignment

Jira proficiency

Education

Bachelor’s degree in related field

Tools

Jira

Airtable

Confluence/Wiki

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 organization. The role owns and operates the enterprise data foundation and develops scalable, reusable AI and data products with measurable outcomes.

Key Responsibilities

• Translate product strategy into detailed roadmaps, execution plans, milestones, and measurable outcomes.
• Own roadmap development and prioritization across the enterprise data hub, AI-ready data products, self-service conversational analytics, data-as-a-service capabilities, bring-your-own-data capabilities, semantic data models, and AI value realization initiatives.
• Apply fluency in data, analytics, and AI to help define dashboards and reporting as data and AI products.
• Make and defend prioritization decisions and communicate them clearly to engineering and stakeholder teams.
• Lead intake, discovery, and backlog refinement across a high volume of stakeholder requests, using a consistent lens focused on value for the broadest set of users.
• Convert business needs into 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, reuse, data quality, freshness, stakeholder satisfaction, and realized business value.
• Provide 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 delivery from reactive, request-by-request execution to a scalable portfolio of reusable, governed AI and data products that Autodesk owns outright.
• Define and evolve product vision and strategy for enterprise AI and data products, connecting business and user needs, technology capabilities, and company priorities into a set of product bets and investment choices.
• Lead product discovery to understand user problems, workflows, unmet needs, and opportunities, using evidence to determine what to build and what not to build.
• Develop portfolio strategy to identify common needs across teams and translate them into scalable, reusable platform capabilities rather than one-off solutions.
• Establish product hypotheses, target users, value propositions, success measures, and expected business outcomes before significant investment, validating assumptions with qualitative and quantitative evidence (including capacity planning with ENG teams).
• Own lifecycle decisions from discovery and incubation through launch, adoption, iteration, scaling, and retirement based on product health and realized value.
• Use strong product judgment in ambiguous environments, balancing user value, business impact, technical feasibility, platform leverage, risk, and opportunity cost.

Required Qualifications

• 8+ years of product management experience, including experience owning roadmaps for data, analytics, or AI/ML platform products.
• Strong fluency in data and AI concepts, including semantic data models, data pipelines, and machine learning or generative AI applications, sufficient to partner credibly with engineering and data science.
• 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 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.

Location and Work Arrangement

Oregon (onsite)

Salary Range

USD 123,900 to 222,129 per year (U.S.-based roles). Offers depend on experience and geographic location.

Benefits

Autodesk provides health and financial benefits, time away, and everyday wellness. Learn more at https://benefits.autodesk.com/.

Salary transparency: starting base salary between $123,900 and $222,129 for U.S.-based roles, based on experience and geographic location. Compensation may also include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package.

Onboarding and Identity Verification

This role may require in-person onboarding and/or in-person ID verification.

Tools and Technologies

• Airtable
• Jira
• Confluence/Wiki
• Wiki