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Accounting Technical Solutions Lead

Job in New York, New York County, New York, 10261, USA
Listing for: Stripe
Full Time position
Listed on 2026-06-17
Job specializations:
  • IT/Tech
    Data Analyst
  • Finance & Banking
Salary/Wage Range or Industry Benchmark: 100000 - 125000 USD Yearly USD 100000.00 125000.00 YEAR
Job Description & How to Apply Below
Location: New York

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

The Accounting Team is responsible for understanding and telling Stripe’s financial story and shaping our collective understanding of how Stripe is performing as a business. Our primary focus is maintaining a well-controlled environment that effectively supports corporate governance, financial reporting and disclosure requirements. We advise and enable Stripe to grow – supporting all products at Stripe, consulting on accounting implications and supporting teams’ ability to make informed strategic decisions.

We operate in a fast-paced environment and collaborate significantly with cross-functional and international teams.

What you’ll do

Our Accounting team is 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. You’ll develop AI-powered tools and models, autonomous agents, and data products that automate complex workflows and provide actionable insights within a framework of financial reporting control.

Working at the intersection of artificial intelligence, accounting, and product development, you'll collaborate with engineering and finance teams to deploy cutting‑edge AI applications that scale with Stripe’s growth and support our mission of increasing the GDP of the internet.

Responsibilities
  • Apply your accounting and finance domain expertise to identify, explore, and prototype high-impact opportunities where AI can solve complex accounting challenges
  • Build using 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
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
  • 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…
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