Position Overview
Autodesk is building the next generation of AI capabilities that will transform how customers design and make. The Foundation Models team develops AI technologies that operate across Autodesk’s platform and business units. This role provides the analytical foundation needed to guide adoption, monetization, cost modeling, and strategic planning for these AI investments.
You will apply structured problem-solving, financial modeling, usage analytics, and cost analysis, including inference COGS and GPU economics, to inform business decisions. Your work will clarify how foundational models scale, how they affect Autodesk’s economics, and how the company should prioritize investment and deployment across multiple product areas.
The successful candidate will operate at the center of Autodesk’s AI transformation, shaping business strategy and analytics that inform AI development, technology roadmaps, and long-term priorities. They will develop structured strategic frameworks, adoption and impact forecasts, and decision-support insights that guide Autodesk’s AI portfolio and enable leadership alignment across industry groups and executive forums.
Location: We are open to candidates in the United Kingdom
Responsibilities
- Build analytical and financial models that quantify the business impact of AI capabilities across Autodesk’s platform and industry groups, including Architecture, Engineering & Construction, Product Design & Manufacturing, and Media & Entertainment
- Develop forecasts for AI adoption, usage, revenue influence, and long-term planning
- Construct business cases and decision-ready analysis to guide investment, prioritization, and leadership reviews
- Model and optimize inference cost economics (COGS), including GPU utilization, cloud strategy, and scaling drivers
- Translate product telemetry into insights supporting monetization, pricing, and cross-industry growth opportunities
- Create executive- and Board-ready presentations, narratives, and slide materials that communicate strategic recommendations, investment plans, and business priorities with clarity and impact
- Contribute to building repeatable dashboards, reporting frameworks, and tools to enable data-driven execution across Product, Finance, and Engineering teams
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!
Salary is one part of Autodesk’s competitive compensation package. Offers are based on the candidate’s experience and geographic location. In addition to base salaries, our compensation package may include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package.
We take pride in cultivating a culture of belonging where everyone can thrive. Learn more here: https://www.autodesk.com/company/diversity-and-belonging
Minimum Qualifications
- Bachelor’s degree in a relevant field (e.g., Engineering, Data Science, Statistics, Computer Science, Economics) or equivalent experience
- 5+ years in business strategy, analytics, management consulting, or a similarly analytical role
- Strong financial modeling and analytical skills (Excel required; SQL/Python familiarity preferred)
- Ability to create structured, executive-ready presentations and strategic narratives (Management consulting-style PPT decks)
- Demonstrated ability to operate in ambiguous environments and build frameworks from scratch
- Strong communication skills with the ability to distill complexity into clarity
Preferred Qualifications
- MBA or relevant graduate degree
- Management consulting experience (2–3 years)
- Experience in SaaS economics, cloud cost analysis, or AI/ML-driven products
- Familiarity with GPU and inference cost structures
- Background in subscription analytics or monetization strategy
- Experience with AI agents and API-driven business models
