Treasury Finance – Business & Data Analytics

What you'll do You'll work closely with Treasury Finance subject matter experts and the broader Finance artificial intelligence ecosystem to build and operationalize AI agents and automation solutions that transform how Treasury Finance teams work. You'll move from understanding manual workflows to shipping working solutions and enabling the team to maintain them independently. Responsibilities Build and operationalize AI agents for Treasury Finance use cases, including cash forecasting, bank account management, alerting, reporting, and workflow automation, using internal Stripe agent platforms and automation tools Automate manual, repetitive Treasury Finance processes by identifying high-impact opportunities, designing scalable solutions, and iterating based on team feedback Drive the Treasury Finance artificial intelligence strategy by maintaining a prioritized automation backlog, tracking impact, and contributing to the long-term artificial intelligence roadmap with Finance AI Solution Architecture and domain leads Design and maintain knowledge layers and data pipelines that improve agent accuracy, including structured reference data, validation frameworks, and data-quality controls Scope automation opportunities independently, navigate platform constraints through practical workarounds, and balance speed and quality to deliver impact Explore and prototype artificial intelligence applications that address emerging Treasury Finance challenges Who you are We're looking for a technical problem solver with Treasury Finance expertise who is excited about using artificial intelligence. If you meet the minimum requirements for the role, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement. Minimum requirements Bachelor’s degree in finance, mathematics, computer science, engineering, or a related field, with 3+ years of experience in software development, data science, Treasury Finance, or related roles Experience using emerging artificial intelligence and large language model tools, conversational interfaces, prompt engineering, automation platforms, robotic process automation, and frameworks such as LangChain and LangGraph to build artificial intelligence applications and agentic systems Solid understanding of artificial intelligence fundamentals, including deep learning, natural language processing, and generative artificial intelligence Familiarity with Python, Databricks, data pipelines, extract, transform, and load processes, extract, load, and transform processes, and coding with artificial intelligence assistance, along with proficiency in SQL for data analysis and pipeline logic Track record of independently scoping and delivering technical process-improvement solutions, with strong problem-solving and investigative skills to identify root causes, debug complex problems, and resolve data inconsistencies Preferred qualifications Familiarity with the payments industry and financial technology landscape Experience with Databricks and cloud platforms, including Amazon Web Services, Google Cloud Platform, or Microsoft Azure Software engineering experience with Ruby Experience working in technology companies with rapidly evolving processes and tools