The opportunity
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.
What you'll do
Embed with Finance teams to diagnose workflows, identify high-leverage: opportunities, and translate business, data, and control requirements into practical AI and automation solutions.
Build and operationalize AI agents for Finance use cases, delivering: end-to-end solutions from prototype through validation, monitoring, documentation, and handoff.
Write and optimize SQL for data extraction, transformation, calculation, and: validation, ensuring Finance-facing outputs are accurate, explainable, and reliable.
Design reusable knowledge layers, evaluation methods, validation patterns,: data-quality frameworks, and components that improve agent accuracy and accelerate future use cases.
Identify agentic limitations and new possibilities; determine when to use: existing capabilities, develop an alternative approach, or partner with Engineering to scope and test custom tools and integrations, including tools using Model Context Protocol where appropriate.
Build alongside users, gather feedback through real deliverables, and iterate: until the solution fits the workflow and earns user trust.
What they're looking for
- + years of experience in data analytics, technical operations, business: intelligence, automation, solutions delivery, or a related field.
- Of which, 2+ years of experience in program management, working directly: alongside business leaders to develop and execute process transformation programs
- Hands-on experience building AI-enabled tools, agents, automations, or: workflows that changed a real business process—not solely using AI as a conversational tool,
- Strong SQL proficiency, including experience writing complex queries using: CTEs, window functions, and joins for data analysis, transformation, or pipeline logic.
- A track record of independently scoping and delivering technical solutions: for process improvement, demonstrating ownership from problem definition through adoption.
- Strong analytical and investigative skills, including the ability to identify: root causes, debug complex data problems, and resolve inconsistencies.
- Strong written and verbal communication skills, with the ability to explain: technical concepts to non-technical audiences and work effectively with domain experts and Engineering partners.
- Experience teaching, coaching, enabling users, or transferring ownership of a: solution through documentation, training, or self-service tools.
