AI Specialist, Treasury Finance Operations

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 At its core, Stripe is a treasury company, and the Treasury Finance team is central to building the Global Payments and Treasury Network (GPTN). Treasury Finance Operations (TFin Ops) plays a critical role in the strategy, execution, and support of core functions of Treasury Finance, including cash management and forecasting, bank account management, investment execution and oversight, intercompany funding, and more. We're 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 the Treasury Finance AI strategy. You'll 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. What you'll do You'll 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'll move from understanding manual workflows to shipping effective solutions—and then enabling the team to maintain them independently. Responsibilities - Build and operationalize AI agents for Treasury use cases such as cash forecasting, bank account management, alerting and reporting, and workflow automation, using internal agentic platforms and automation tools at Stripe - Deliver solutions end-to-end, from prototype to implementation and handoff - Automate manual and repetitive Treasury processes by identifying high-impact opportunities, designing scalable solutions, and iterating based on team feedback - Drive Treasury Finance AI 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 - Design and maintain knowledge layers and data pipelines that improve agent accuracy, including structured reference data, validation frameworks, and data quality controls - Independently scope automation opportunities, navigate platform constraints through creative problem-solving, and balance speed with quality to deliver impact quickly - Explore and prototype emerging AI applications to address evolving Treasury challenges 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 - 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 - Experience with emerging AI and LLM tools, conversational interfaces, prompt engineering, automation platforms or RPA, and LLM frameworks such as LangChain, LangGraph, or similar tools used to build AI applications and agentic systems - Solid understanding of AI fundamentals, including deep learning, natural language processing, and generative AI - Familiarity with modern data tools such as Python, Databricks, ETL and ELT processes, and data pipelines, along with experience coding with AI assistance - Strong proficiency in SQL, including writing complex queries and using CTEs, window functions, and joins for data analysis and pipeline logic - Track record of independently scoping and delivering technical solutions for process improvement, with strong ownership and self-sufficiency - Strong problem-solving and investigative skills, with the ability to identify root causes of data issues, debug complex problems, and resolve inconsistencies Preferred qualifications - Familiarity with the payments industry and fintech landscape - Experience with Databricks and cloud platforms such as AWS, GCP, or Azure - Software engineering experience in Ruby - Experience working in high-growth technology companies with rapidly evolving processes and tools

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. Experience with emerging AI and LLM tools, conversational interfaces, prompt engineering, automation platforms or RPA, and LLM frameworks such as LangChain, LangGraph, or similar tools used to build AI applications and agentic systems. Solid understanding of AI fundamentals, including deep learning, natural language processing, and generative AI. Familiarity with modern data tools such as Python, Databricks, ETL and ELT processes, and data pipelines, along with experience coding with AI assistance. Strong proficiency in SQL, including writing complex queries and using CTEs, window functions, and joins for data analysis and pipeline logic. Track record of independently scoping and delivering technical solutions for process improvement, with strong ownership and self-sufficiency. Strong problem-solving and investigative skills, with the ability to identify root causes of data issues, debug complex problems, and resolve inconsistencies.

Build and operationalize AI agents for Treasury use cases such as cash forecasting, bank account management, alerting and reporting, and workflow automation, using internal agentic platforms and automation tools at Stripe. Deliver solutions end-to-end, from prototype to implementation and handoff. Automate manual and repetitive Treasury processes by identifying high-impact opportunities, designing scalable solutions, and iterating based on team feedback. Drive Treasury Finance AI 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. Design and maintain knowledge layers and data pipelines that improve agent accuracy, including structured reference data, validation frameworks, and data quality controls. Independently scope automation opportunities, navigate platform constraints through creative problem-solving, and balance speed with quality to deliver impact quickly. Explore and prototype emerging AI applications to address evolving Treasury challenges.