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About the Role

Autodesk is developing next-generation AI capabilities to transform customer design and manufacturing processes. The Foundation Models team focuses on AI technologies across the Autodesk platform. This role will provide the analytical foundation for AI investment decisions, including adoption, monetization, GPU economics, cost modeling, and strategic planning. You will use structured problem-solving, financial modeling, and analytics to inform business decisions related to AI product economics, scaling, and margins. Your work will clarify how foundation models scale, the impact of GPU and inference costs on Autodesk's economics, and how to prioritize AI investments. The successful candidate will be central to Autodesk's AI transformation, shaping business strategy and analytics to guide AI development, technology roadmaps, and long-term priorities.

Responsibilities

Build analytical and financial models to quantify the business impact of AI capabilities across Autodesk's platform and industry groups.
Develop forecasts for AI adoption, usage, revenue influence, GPU consumption, 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 GPU economics, cloud compute costs, and inference economics.
Analyze GPU demand, utilization, and unit economics to identify opportunities for infrastructure efficiency and scalable AI deployment.
Translate product telemetry and infrastructure usage data into insights supporting monetization, pricing, packaging, GPU cost management, and growth opportunities.
Create executive- and Board-ready presentations, narratives, and slide materials to communicate strategic recommendations and investment plans.
Collaborate with stakeholders and cross-functional teams, including Product, Finance, Engineering, and executive leadership, to align priorities and drive decisions.
Contribute to building repeatable dashboards, reporting frameworks, and tools to track AI adoption, GPU utilization, inference costs, COGS, and business performance.
Operate as a self-starter with the ability to work independently, take ownership, and drive work forward in an ambiguous environment.

Requirements

Bachelor’s degree in a relevant field, such as Engineering, Data Science, Statistics, Computer Science, Economics, or equivalent experience.
5+ years of experience 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, GPU or compute costs, COGS, margin, and ROI.
Strong financial modeling and analytical skills; Excel required, with SQL or Python familiarity preferred.
Experience with GPU economics, cloud infrastructure economics, inference cost structures, compute utilization, or AI infrastructure cost modeling, or demonstrated ability to ramp quickly in these areas.
Ability to analyze GPU utilization, scaling behavior, cost efficiency, and cost-to-serve dynamics as they relate to AI products.
Ability to create structured, executive-ready presentations and strategic narratives, including management consulting-style PowerPoint decks.
Demonstrated ability to navigate ambiguity, structure complex problems, and build frameworks from the ground up.
Demonstrated ability to collaborate across multiple stakeholders and cross-functional teams, align differing priorities, and drive decisions forward.
Strong communication skills with the ability to translate complex technical and financial analysis into clear, actionable insights.
Self-starter with the ability to work independently, take initiative, and drive work forward.

Skills

Excel
SQL
Python
Financial Modeling
Business Modeling
Operating Model
Adoption Forecasting
Usage Forecasting
Revenue Forecasting
GPU Cost Modeling
Compute Cost Modeling
COGS Analysis
Margin Analysis
ROI Analysis
Cloud Infrastructure Economics
Inference Cost Structures
Compute Utilization Analysis
AI Infrastructure Cost Modeling
GPU Utilization Analysis
Scaling Behavior Analysis
Cost Efficiency Analysis
Cost-to-Serve Analysis
Presentation Creation
Strategic Narrative Development
Problem Structuring
Framework Development
Stakeholder Collaboration
Cross-functional Collaboration
Decision Driving
Communication Skills
Complex Analysis Translation
Actionable Insight Generation
Independent Work
Initiative Taking
Ambiguity Navigation

Location

Canada (Hybrid or Remote)

Work Type

Hybrid
Remote

Experience Level

5+ years of experience in business strategy, analytics, strategic finance, business operations, product strategy, product analytics, management consulting, or a similarly analytical role
3–5 years of relevant experience depending on educational background (Preferred)

Education Level

Bachelor’s degree in Engineering, Data Science, Statistics, Computer Science, Economics, or equivalent experience
BS or MS in Data Science or a related field (Preferred)

Salary/Compensations

$107,000 - $156,200 (Canada)

Benefits

Annual cash bonuses
Commissions for sales roles
Stock grants
Comprehensive benefits package

About the Company

Autodesk enables innovators to turn their ideas into reality, transforming how things are made and what can be made. Their culture guides how they work, treat each other, connect with customers and partners, and show up in the world. Autodeskers do meaningful work that helps build a better world designed and made for all.

Equal Opportunity

We take pride in cultivating a culture of belonging where everyone can thrive.