Business Strategist, AI Foundation Models

Autodesk Autodesk · Enterprise · Portland, OR +15 · Remote

Business Strategist role focused on guiding the adoption, monetization, cost modeling, and strategic planning for AI investments, particularly foundation models, across Autodesk's platform. The role involves building analytical and financial models, forecasting AI adoption and usage, constructing business cases, and optimizing inference cost economics (COGS) and GPU utilization. The candidate will shape business strategy and analytics to inform AI development, roadmaps, and priorities.

What you'd actually do

  1. 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
  2. Develop forecasts for AI adoption, usage, revenue influence, and long-term planning
  3. Construct business cases and decision-ready analysis to guide investment, prioritization, and leadership reviews
  4. Model and optimize inference cost economics (COGS), including GPU utilization, cloud strategy, and scaling drivers
  5. Translate product telemetry into insights supporting monetization, pricing, and cross-industry growth opportunities

Skills

Required

  • 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

Nice to have

  • 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

What the JD emphasized

  • inference cost economics
  • GPU economics
  • AI/ML-driven products