AI Specialist, Treasury Finance Operations

Job Description:

We're looking for an AI Specialist to join our Treasury Finance Operations team. As an AI Specialist, 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.

Responsibilities:

• 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
• 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 TFin 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

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/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 analytical 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