Finance & Strategy Partner, Central Engineering

Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career. About the team The Infrastructure Finance & 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. What you’ll do We're looking for a Finance & Strategy Partner to join our growing team. This individual will help us with the forecasting, budgeting and reporting for AI investments, including token spend, engineering headcount, and management tools. They will 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. Responsibilities Partner closely with business leaders to drive successful outcomes 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 Define metrics and leading indicators of business performance 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. Who you are We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement. Minimum requirements 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/writes, model selection principles, and billing frameworks Deep understanding of expense accounting principles including accruals, amortization, and capitalization Ability to manage cross-functional programs, using influence without authority to manage non-financial deliverables from partner teams Ability to build strong, collaborative relationships with business partners and cross-functional stakeholders Highly proactive, able to anticipate and execute critical analyses independently and drive business results without significant supervision Ability to deliver results under tight timelines and a “roll up your sleeves” mindset to get any job done Bring structure to ambiguous questions and thrive in an unstructured, fast-moving environment Excellent communication and organizational skills, both written and verbal. Excellent problem-solving skills and demonstrated ability to work independently, analyze problems and data sets to make complex investigation decisions Detail-oriented, with the ability to tailor the level of detail communicated to different audiences You will also likely have (not required): Experience working in corporate finance at a high-growth technology company Experience managing headcount and operating expenses Experience supporting engineering teams Experience with Oracle, Anaplan, or similar financial management applications Experience with Claude Code, Codex, Cursor or similar coding agents Experience in data visualization and dashboarding Background in investment banking, private equity, corporate development, and/or consulting Strong knowledge of G-suite tools and extracting, analyzing and evaluating information from large data sets using SQL and large language models