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Autodesk

Business Strategist, AI Foundation Models. United Kingdom

Autodesk

London

Machine learning

Last seen 1mo ago

Posted
3mo ago

Posted on 22 June 2026

Workplace
Not specified

Work model not stated

Salary
Not disclosed

Salary range not shared by the company

Visa sponsorship
Not specified

Visa sponsorship details unknown

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Job Requisition ID #

26WD98882

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. This role requires fluency, or the ability to ramp quickly, in cloud, GPU, and inference cost dynamics as they relate to AI product economics, COGS, scaling, and margin. 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, inference costs, margin implications, and long-term planning

Construct business cases and decision-ready analysis to guide investment, prioritization, monetization, pricing, packaging, and leadership reviews

Model and optimize cloud, GPU, and inference cost economics, including utilization, scaling behavior, cost efficiency, COGS, cost-to-serve dynamics, and margin implications

Translate product telemetry into insights supporting monetization, pricing, packaging, and cross-industry growth opportunities

Create executive- and Board-ready presentations, narratives, and slide materials that communicate strategic recommendations, investment plans, tradeoffs, 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

Minimum Qualifications

Bachelor’s degree in a relevant field, such as Engineering, Data Science, Statistics, Computer Science, Economics, or equivalent experience

5+ years in business strategy, analytics, strategic finance, business operations, product strategy, product analytics, management consulting, or a similarly analytical role

Experience building financial, operating, or business models across adoption, usage, revenue, COGS, margin, and ROI

Strong financial modeling and analytical skills; Excel required, SQL/Python familiarity preferred

Experience with cloud, GPU, and inference cost structures, or demonstrated ability to ramp quickly on AI infrastructure economics

Ability to create structured, executive-ready presentations and strategic narratives, including management consulting-style PowerPoint 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 combined with hands-on operating experience in a technology company

Experience with AI infrastructure, usage-based monetization models, model serving, inference costs, GPU economics, cloud economics, or compute cost optimization

Experience in SaaS economics, cloud cost analysis, or AI/ML-driven products

Background in subscription analytics, pricing, packaging, or monetization strategy

Experience with AI agents and API-driven business models

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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 transparency

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.

Belonging

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

Are you an existing contractor or consultant with Autodesk?

Please search for open jobs and apply internally (not on this external site).

About Autodesk

Autodesk engineers in Barcelona, Kraków and Dublin. Design and manufacturing software with deep geometry and simulation problems that most product companies never touch.

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