AI Solutions Program Manager, Finance

SEA, SF, NYC, CHI · US · 2+ years experience · Posted Sep 21, 2026

At a glance

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.

The AI Solutions Program Manager will join the Finance Operational Excellence team to redefine processes by building and scaling applied AI solutions.
This role functions as a hybrid of solution developer, data architect, workflow designer, and coach, working directly with Finance, Product, and Engineering teams.
The focus is on automating manual workflows, building AI agents, and enabling Finance teams to independently maintain and evolve these technical solutions.

Embed with Finance teams to diagnose workflows and translate business, data, and control requirements into AI and automation solutions.
Build and operationalize AI agents for Finance use cases from prototype through validation, monitoring, and handoff.
Write and optimize SQL for data extraction, transformation, and validation to ensure reliable Finance-facing outputs.
Design reusable knowledge layers, evaluation methods, and data-quality frameworks to accelerate future use cases.
Identify agentic limitations and collaborate with Engineering to scope and test custom tools, including those using Model Context Protocol.
Build alongside users, gathering feedback through real deliverables to iterate until solutions earn user trust.
Enable long-term ownership through SOPs, runbooks, training, and self-service tooling.
Establish monitoring and observability for deployed agents, including metrics, alerting, and incident-response processes.
Diagnose technical and data issues, resolving problems independently or collaborating with Engineering for platform changes.
Measure adoption and impact, turning successful implementations into standards and playbooks for the broader Finance AI portfolio.

5+ years of experience in data analytics, technical operations, business intelligence, automation, or solutions delivery.
2+ years of experience in program management working directly with business leaders on process transformation programs.
Hands-on experience building AI-enabled tools, agents, or automations that changed a real business process.
Strong SQL proficiency, including complex queries using CTEs, window functions, and joins.
Track record of independently scoping and delivering technical solutions for process improvement.
Strong analytical and investigative skills for root cause identification and debugging complex data problems.
Strong written and verbal communication skills for explaining technical concepts to non-technical audiences.
Experience teaching, coaching, or transferring ownership of solutions through documentation and training.
Working knowledge of development practices such as version control, testing, code review, and iterative delivery.
Experience using low-code tools, scripting, workflow automation, or AI-assisted development.

Domain experience in Finance Operations, FP&A, Accounting, Treasury, Tax, or Payments.
Familiarity with Python, Databricks, ETL/ELT processes, and data pipelines.
Experience with Model Context Protocol or other extensibility/integration frameworks.
Experience navigating financial systems and understanding data flows in accounting, reporting, or forecasting.
Experience with change management or large-scale organizational transformation programs.
Experience building internal tools, templates, or playbooks adopted beyond the original team.
Experience working in a high-growth technology company.