Accounting Technical Solutions Lead

Job Overview

We're seeking an innovative embedded technical resource to help us scale for the future, in a fast-paced environment that's growing rapidly. You'll leverage your accounting, artificial intelligence (AI), and technical expertise to build intelligent solutions that enhance Stripe's accounting capabilities.

Responsibilities

• Apply your accounting and finance domain expertise to identify, explore, and prototype high-impact opportunities where AI can solve complex accounting challenges.
• Build AI-powered tools and artificial intelligence solutions to automate accounting workflows, enhance controllership, and scale our operations.
• Design and deploy autonomous AI agents using frameworks that can reason, plan, and execute complex multi-step problems and enhance decision-making processes through understanding risk and maintaining effective financial reporting controls.
• Ship and maintain interactive data products and self-service analytics tools using SQL and Python frameworks (data visualization and dashboards, low-code application building frameworks) that provide real-time insights and actionable intelligence.
• Work across Accounting and partner teams to uncover efficiency opportunities, including AI use cases, document requirements, and translate complex financial workflows into well-controlled technical solutions.
• Partner with Accounting and SOX teams to assess and develop an effective internal controls approach to AI-based accounting solutions.

Requirements

• 10+ years of relevant experience, with at least 4+ years of experience in accounting-related or adjacent roles (e.g., finance systems, process improvement).
• B.A. or B.S. degree in Accounting, Finance, Finance Systems, or Information Systems.
• Fluency in U.S. GAAP.
• Advanced proficiency in SQL, including writing complex queries, using CTEs (common table expressions), window functions, and joins for data analysis and pipeline logic.
• Familiarity with modern data tools (Python, Databricks, ETL/ELT processes, data pipelines) and coding with AI assistance.
• Comprehensive understanding of AI fundamentals and experience with emerging AI/LLM tools, conversational interfaces, prompt engineering, or automation platforms and RPA.
• Solution and results-oriented, with a focus on delivering impact in a fast-paced environment.
• Excellent communication and organizational skills, both written and verbal, with the ability to convey financial concepts to both financial and non-financial audiences.
• Experience with internal controls (design, implementation, and execution).

Preferred Qualifications

• Familiarity with the payments industry and fintech landscape.