Finance & Strategy Partner, Stripe

• 7–9 years of relevant experience in strategic finance or FP&A
• Demonstrated experience driving and executing on finance processes (e.g. budget and forecast creation, contract negotiations, headcount envelope management)
• Demonstrated experience using AI tools (coding agents, skills, forecasting tools) to develop data visualizations and explore datasets and developing expertise in new tools quickly
• Fluency in AI cost drivers and metrics, including token caching, reads, and writes, model selection principles, and billing frameworks
• Deep understanding of expense accounting principles including accruals, amortization, and capitalization

Desirable

• The Infrastructure Finance and Strategy team is an integral thought partner to Stripe's engineering leadership
• We bring understanding and predictability to Stripe's R&D investments and operating expenses. We work cross-functionally across many surfaces at Stripe and help ensure the durability of our long-term financial performance
• We're looking for a Finance and Strategy Partner to join our growing team. You'll help us with the forecasting, budgeting, and reporting for AI investments, including token spend, engineering headcount, and management tools
• You'll collaborate with data science, engineering, and finance teams to deliver improvements in our integrated financial systems and metrics, and help drive our strategies for productivity improvement and cost efficiency
• Leverage your financial background to support and influence key strategic and business decisions
• Be your business teams' financial partner for analysis and evaluation of strategic projects and initiatives (e.g. foundational investments or business model shifts)
• Design and provide analytical rigor to measure efficiency and ROI of investments in headcount and non-headcount expenses
• Drive reporting, process, and discipline for finance routines to shape and influence decision-making (e.g. budget, forecast, monthly reviews, long-range plans)
• Build and own models for in-depth analyses, as well as ensure their quality, timeliness, and accuracy
• Partner with cross-functional teams, such as Finance Systems, Data Science, and Infrastructure Engineering, to develop reporting dashboards
• Drive continuous process improvement, standardization, simplification, and reporting enhancements