AI Specialist, Treasury Finance Operations

<h1>AI Specialist,&nbsp;Treasury Finance Operations</h1> <h2>Who we are</h2> <h3>About Stripe</h3> <p class="mb-2 whitespace-pre-wrap">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.</p> <h3>About the team</h3> <p class="mb-2 whitespace-pre-wrap">At its core, Stripe is a treasury company, and the Treasury Finance team is central to building the Global Payments and Treasury Network (<code>GPTN</code>). Treasury Finance Operations (<code>TFin Ops</code>) plays a critical role in the strategy, execution, and support of Treasury Finance’s core functions, including cash management and forecasting, bank account management, investment execution and oversight, intercompany funding, and more.</p> <p class="mb-2 whitespace-pre-wrap">We are at an exciting inflection point and are investing heavily in AI to fundamentally transform how we operate. This role sits at the intersection of Treasury Finance expertise and applied AI and will be instrumental in building and scaling <code>TFin</code>’s AI strategy. You will work within a globally connected team to build AI-powered agents and automation solutions that make our operational workflows faster, more accurate, and more scalable.</p> <h2>What you’ll do</h2> <p class="mb-2 whitespace-pre-wrap">You will work closely with Treasury Finance subject matter experts and the broader Finance AI ecosystem to build and operationalize AI agents and automation solutions that transform how Treasury Finance teams work. You will move from understanding manual workflows to shipping effective solutions — and then enabling the team to maintain them independently.</p> <h3>In this role, you will:</h3> <ul> <li>Build and operationalize AI agents for Treasury use cases such as cash forecasting, bank account management, alerting and reporting, and workflow automation, using Stripe’s internal agentic platforms and automation tools</li> <li>Deliver solutions end-to-end, from prototype to implementation and handoff</li> <li>Automate manual and repetitive Treasury processes by identifying high-impact opportunities, designing scalable solutions, and iterating based on team feedback</li> <li>Drive&nbsp;<code>TFin AI</code>&nbsp;strategy by maintaining a prioritized backlog of automation opportunities, tracking impact, and contributing to the team’s long-term AI roadmap in partnership with Finance AI Solution Architecture and domain leads</li> <li>Design and maintain knowledge layers and data pipelines that improve agent accuracy, including structured reference data, validation frameworks, and data quality controls</li> <li>Independently scope automation opportunities, navigate platform constraints through creative problem-solving, and balance speed with quality to deliver impact quickly</li> <li>Explore and prototype emerging AI applications to address evolving Treasury challenges</li> </ul> <h2>Who you are</h2> <p class="mb-2 whitespace-pre-wrap">We’re looking for a technical problem-solver with treasury and finance expertise who is excited about using artificial intelligence to improve operational workflows. If you meet the minimum requirements below, we encourage you to apply. Preferred qualifications are a bonus, not a requirement.</p> <h2>Minimum requirements</h2> <ul> <li>Bachelor’s degree in finance, mathematics, computer science, engineering, or a related field, with 3+ years of experience in software development, data science, or treasury and finance roles</li> <li>Experience with emerging AI and&nbsp;<code>LLM</code>&nbsp;tools, conversational interfaces, prompt engineering, automation platforms or&nbsp;<code>RPA</code>, and&nbsp;<code>LLM</code>&nbsp;frameworks such as&nbsp;<code>LangChain</code>,&nbsp;<code>LangGraph</code>, or similar tools used to build AI applications and agentic systems</li> <li>Solid understanding of AI fundamentals, including deep learning, natural language processing, and generative AI</li> <li>Familiarity with modern data tools such as&nbsp;<code>Python</code>,&nbsp;<code>Databricks</code>,&nbsp;&