[Remote] AI Solutions Program Manager, Finance

Note: The job is a remote job and is open to candidates in USA. Stripe is a financial infrastructure platform for businesses. The AI Solutions Program Manager will partner with Finance teams to identify high-impact opportunities and build, operationalize, and improve AI-enabled automation solutions. The role also focuses on data operations, technical problem-solving, user enablement, monitoring, and long-term ownership of Finance AI solutions.

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 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
• Enable long-term ownership through clear SOPs, runbooks, training, and self-service tooling; coach Finance teams to operate, maintain, and evolve what has been built
• Establish monitoring and observability for deployed agents, including metrics, alerting, and incident-response processes that support reliable operation
• Diagnose technical and data issues, resolve problems independently where possible, and collaborate with Engineering when solutions require deeper platform changes
• Measure adoption and impact, share lessons and wins, and turn successful implementations into standards, components, and playbooks for the broader Finance AI portfolio

Skills

• 5+ 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
• 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, paired with curiosity and the ability to learn evolving technologies
• While software engineering expertise is not required, you should be comfortable applying technical concepts, collaborating closely with Engineering teams, and using AI-assisted development tools to extend platform capabilities when needed
• Domain experience in Finance Operations, Financial Planning & Analysis (FP&A), Accounting, Treasury, Tax, Payments, or other 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 how 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 that were adopted beyond the original team or use case
• Experience working in a high-growth technology company with rapidly evolving processes and tools

Company Overview

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