AI Solutions Developer

Details

Who We Are

Stripe is a financial infrastructure platform for businesses. Millions of companies use Stripe to accept payments, grow revenue, and accelerate new business opportunities. The mission is to increase the GDP of the internet.

You will join the Finance Operational Excellence team, working with Finance, Product, and Engineering teams to redefine processes and build the finance organization of the future. The role combines solution development, data architecture, workflow design, and user enablement, with a focus on scaling applied AI from both technical and end-user perspectives.

Responsibilities

• 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 alternative approaches, 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 solutions fit workflows and earn user trust.
• Enable long-term ownership through SOPs, runbooks, training, and self-service tooling; coach Finance teams to operate, maintain, and evolve the solutions.
• Establish monitoring and observability for deployed agents, including metrics, alerting, and incident-response processes.
• Diagnose technical and data issues, resolve problems independently where possible, and collaborate with Engineering when deeper platform changes are required.
• Measure adoption and impact, share lessons and wins, and turn successful implementations into standards, components, and playbooks for the broader Finance AI portfolio.

You will work with Finance subject matter experts to understand how work gets done, identify high-impact opportunities, and create transformation plans that balance future ambitions with rapid impact. The role involves building agents, optimizing the data pipelines that feed them, creating knowledge layers that improve accuracy, and training Finance teams to use and maintain the solutions independently.

Requirements

Minimum Requirements

• 5+ years of experience in data analytics, technical operations, business intelligence, automation, solutions delivery, or a related field.
• Hands-on experience building AI-enabled tools, agents, automations, or workflows that changed a real business process.
• Strong SQL proficiency, including 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, from problem definition through adoption.
• Strong analytical and investigative skills, including root-cause analysis, debugging complex data problems, and resolving inconsistencies.
• Strong written and verbal communication skills, including the ability to explain technical concepts to non-technical audiences and work with domain experts and Engineering partners.
• Experience teaching, coaching, enabling users, or transferring solution ownership through documentation, training, or self-service tools.
• Working knowledge of development practices such as version control, testing, code review, and iterative delivery.
• Experience using low-code tools, scripting, workflow automation, AI-assisted development, or custom integrations, along with the ability to learn evolving technologies.

Preferred Qualifications

• Domain experience in Finance Operations, Financial Planning and Analysis, Accounting, Treasury, Tax, Payments, or related areas.
• Familiarity with modern data tools and practices, such as Python, Databricks, ETL/ELT processes, data pipelines, and data-quality controls.
• Experience with Model Context Protocol or another extensibility or integration framework.
• Experience navigating financial systems and understanding data flows through accounting, reporting, reconciliation, forecasting, or payments processes.
• Experience with change management, organizational transformation, or large-scale enablement programs.
• Experience building internal tools, templates, components, or playbooks adopted beyond the original team or use case.
• Experience working in a high-growth technology company with rapidly evolving processes and tools.

The role involves working at the intersection of no-code AI tools and custom development. Software engineering expertise is not required, but candidates should be comfortable applying technical concepts, collaborating closely with Engineering teams, and using AI-assisted development tools to extend platform capabilities when needed.