Responsibilities
- Develop and deploy AI-driven agents to support treasury functions including cash flow prediction, bank account oversight, real-time alerts, reporting, and automated workflows using internal automation and agentic systems
- Lead end-to-end delivery of AI solutions from initial concept through deployment and transition to operations
- Identify high-value manual processes in treasury operations and implement automated, scalable systems, refining them based on user feedback
- Shape the long-term AI strategy for treasury finance by managing a ranked list of automation initiatives, measuring outcomes, and collaborating with AI architecture and domain experts
- Create and manage structured data layers and pipelines that enhance AI agent performance, including reference datasets, validation logic, and data integrity checks
- Independently assess automation potential, overcome platform limitations with innovative approaches, and balance rapid delivery with robust design
- Investigate and build prototypes for new AI capabilities to respond to emerging needs in treasury management
Compensation
Competitive salary and benefits package commensurate with experience
Work Arrangement
Hybrid or remote, based on role requirements and team norms
Team
Part of the Finance Operations team focused on leveraging AI to improve treasury efficiency and decision-making
Responsibilities
- Build and operationalize AI agents for Treasury use cases such as cash forecasting, bank account management, alerting and reporting, and workflow automation, using internal agentic platforms and automation tools at Stripe
- Deliver solutions end-to-end, from prototype to implementation and handoff
- Automate manual and repetitive Treasury processes by identifying high-impact opportunities, designing scalable solutions, and iterating based on team feedback
- Drive Treasury Finance AI strategy by maintaining a prioritized backlog of automation opportunities, tracking impact, and contributing to the team's long-term AI roadmap in partnership with Finance AI Solution Architecture and domain leads
- Design and maintain knowledge layers and data pipelines that improve agent accuracy, including structured reference data, validation frameworks, and data quality controls
- Independently scope automation opportunities, navigate platform constraints through creative problem-solving, and balance speed with quality to deliver impact quickly
- Explore and prototype emerging AI applications to address evolving Treasury challenges
Available for qualified candidates