Principal Product Manager, Applied AI & Data Science

Job Requisition ID #

26WD100239

Position Overview

We are seeking a Principal Product Manager for the Applied AI, Data Science, and Data Engineering team within the Enterprise Systems and Experience (ESE) organization. This team owns and operates the enterprise data foundation that ESE builds on — semantic data models, AI-ready data products, and the agents and automations that reason across that data to drive workforce productivity. This team’s mandate is to build scalable, reusable products that deliver lasting value.

This Principal PM will bring product discipline to a fast-growing portfolio: clear roadmaps, sharp prioritization, and consistent delivery of measurable, visible outcomes to stakeholders across the company.

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 conversational analytics, data-as-a-service capabilities, bring-your-own-data capabilities, semantic data models, and AI value realization initiatives

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 consistent lens on what delivers the most value to the broadest set of users

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, reuse, 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 from reactive, request-by-request execution to a scalable portfolio of reusable, governed AI and data products that Autodesk owns outright

Define and evolve the product vision and strategy for enterprise AI and data products, connecting business and user needs, technology capabilities, and company priorities into a clear set of product bets and investment choices.

Lead product discovery to deeply understand user problems, workflows, unmet needs, and opportunities; distinguish underlying customer problems from requested solutions and use evidence to determine what the team should — and should not — build.

Develop a portfolio strategy that identifies common needs across teams and translates them into scalable, reusable platform capabilities rather than one-off solutions for individual stakeholders.

Establish clear product hypotheses, target users, value propositions, success measures, and expected business outcomes before committing significant investment; use qualitative and quantitative evidence to validate assumptions and guide continued investment. (Capacity planning with ENG teams)

Own product lifecycle decisions from discovery and incubation through launch, adoption, iteration, scaling, and retirement, using product health and realized value to determine where to expand, pivot, consolidate, or stop investment.

Exercise strong product judgment in ambiguous environments , balancing user value, business impact, technical feasibility, platform leverage, risk, and opportunity cost to make and communicate difficult investment and prioritization decisions.

Minimum 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 — semantic data models, data pipelines, and machine learning / 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 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

Learn More

About Autodesk

Welcome to Autodesk! Amazing things are created every day with our software – from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made.

We take great pride in our culture here at Autodesk – it’s at the core of everything we do. Our culture guides the way we work and treat each other, informs how we connect with customers and partners, and defines how we show up in the world.

When you’re an Autodesker, you can do meaningful work that helps build a better world designed and made for all. Ready to shape the world and your future? Join us!

Benefits

From health and financial benefits to time away and everyday wellness, we give Autodeskers the best, so they can do their best work. Learn more about our benefits in the U.S. by visiting https://benefits.autodesk.com/

Salary transparency

Salary is one part of Autodesk’s competitive compensation package. For U.S.-based roles, we expect a starting base salary between $123,900 and $222,129. Offers are based on the candidate’s experience and geographic location, and may exceed this range. In addition to base salaries, our compensation package may include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package.

Equal Employment Opportunity

At Autodesk, we're building a diverse workplace and an inclusive culture to give more people the chance to imagine, design, and make a better world. Autodesk is proud to be an equal opportunity employer and considers all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender, gender identity, national origin, disability, veteran status or any other legally protected characteristic. We also consider for employment all qualified applicants regardless of criminal histories, consistent with applicable law.

Belonging

We take pride in cultivating a culture of belonging where everyone can thrive. Learn more here: https://www.autodesk.com/company/global-belonging

In-Person Onboarding and Identity Verification

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