Job Requisition ID # 26WD97210 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, GPU economics, 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, GPU cost economics, GPU utilization, and compute efficiency, revenue-impact modeling and AI strategy 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 foundation models scale, how GPU and inference costs, revenue-impact modeling and AI strategy 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, GPU and inference cost models, 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 Canada, either hybrid or remote.
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, 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, including GPU utilization, capacity, scaling behavior, cost efficiency, COGS, cost-to-serve dynamics, and margin implications
Analyze GPU demand, utilization, and unit economics to identify opportunities to improve infrastructure efficiency and support scalable AI deployment
Translate product telemetry and infrastructure usage data into insights supporting monetization, pricing, packaging, GPU cost management, and cross-industry growth opportunities
Assist in creating executive presentations, narratives, and slide materials that communicate strategic recommendations, revenue-impact modeling and AI strategy, GPU and compute investment plans, tradeoffs, and business priorities with clarity and impact
Collaborate across multiple stakeholders and cross-functional teams
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 setting
Minimum Qualifications 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, presentations and strategic narratives
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
Preferred Qualifications BS or MS in Data Science or a related field, with 3–5 years of relevant experience depending on educational background
Experience with GPU economics, AI infrastructure, model serving, inference costs, cloud economics, GPU utilization, capacity planning, or compute cost optimization
Experience analyzing the economics of GPU-intensive AI workloads, including utilization, scaling, unit costs, and margin implications
Experience in SaaS economics, cloud cost analysis, or AI/ML-driven products
Background in subscription analytics, usage-based monetization, pricing, packaging, or monetization strategy
Experience with AI agents and API-driven business models
Salary transparency For Canada based roles, we expect a starting base salary between $107,000 and $156,200. 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.
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.

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📌 Data Science, AI Compute Strategy, Canada (Ontario)
🏢 Autodesk
📍 Ontario