About the job
Pleo creates tools that simplify business spending for finance teams and employees. With over 40,000 customers and a diverse team of more than 850 people from 100+ nationalities, the company continues to grow and refine how organizations manage expenses. Curiosity about customer needs, a drive to untangle complexity, and high standards shape the way work gets done at Pleo.
Role overview
The Staff Applied AI Engineer will play a key part in building the next wave of AI-powered features at Pleo. This position focuses on using rich spend data to deliver meaningful product improvements. Collaboration is central: expect to work closely with software engineers, data engineers, and data scientists to move prototypes into production and create real value for customers.
Team structure and collaboration
This role is part of the data team, which includes a Staff Data Platform Engineer and a Staff Data Scientist. Each member brings specialized expertise. The Staff Applied AI Engineer’s primary responsibility is applied AI engineering and contextual data analysis. The position reports to the Director of Data Product and works with multiple product squads to help shape and launch AI-driven features across Pleo.
What you will do
- Partner with product engineers and data experts to design and build AI-driven products, including spend intelligence tools, automated processes, and agentic workflows.
- Work with cross-functional teams to integrate AI capabilities into new and existing products, aiming for smooth adoption and practical value.

