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 Treasury Finance’s core functions, including cash management and forecasting, bank account management, investment execution and oversight, intercompany funding, and more.

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 TFin’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.

What you’ll do

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.

In This Role, You Will

• 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
  
  
  

Who you are

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.

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/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
  
  
  

In-office expectations

Office-assigned Stripes in most of our locations are currently expected to spend at least 50% of the time in a given month in their local office or with users. This expectation may vary depending on role, team and location. For example, Stripes in Stripe Delivery Center roles in Mexico City, Mexico, Bengaluru, India, and Dublin, Ireland work 100% from the office. Also, some teams have greater in-office attendance requirements, to appropriately support our users and workflows, which the hiring manager will discuss. This approach helps strike a balance between bringing people together for in-person collaboration and learning from each other, while supporting flexibility when possible.

Pay and benefits

Stripe does not yet include pay ranges in job postings in every country. Stripe strongly values pay transparency and is working toward pay transparency globally.

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