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Build the economic models behind the physical AI models that drive autonomous systems and new markets. We’re looking for a very specific kind of thinker: part strategic finance architect, part market anthropologist, part data-systems engineer. Someone who can take a chaotic, multi-variable world and translate it into models that behave like small universes, revealing what drives outcomes and which levers actually matter.
Job Responsibility:
Build simulation-grade pro forma and financial models that drive product strategy, pricing, capital planning, and long-range decision-making
Architect market frameworks across regions (EU, US, APAC), including regulatory triggers and adoption curves
Analyze customer behavior, partner economics, and ecosystem dynamics to uncover hidden leverage
Run pricing tests, cohort analyses, and scenario trees for major product and market decisions
Build data pipelines and dashboards that keep the team aligned with real-world signals
Translate complex findings into clear narrative insights for leadership and board discussions
Deliver models that don’t just report—they advise, simulate, and reveal strategy
Requirements:
BS/BA in economics, finance, data science, business, engineering, or equivalent
5+ years in strategic finance, data modeling, or market analysis roles
A portfolio of your best models
Deep experience with financial modeling, market research, or analytics
Proven ability to build complex, elegant spreadsheet systems
Comfortable across multiple tools
Collaborative, ownership-minded, and able to navigate diverse perspectives
Nice to have:
Experience with logistics, manufacturing, or complex hardware/software ecosystems