This role leads a squad building Cleo’s credit products, which include earned wage access and pay later features. It asks for someone who can spot customer needs, test ideas quickly and turn them into polished mobile experiences with design and engineering. A strong candidate has several years in consumer fintech, is comfortable digging into data, and can build a clear case that wins over stakeholders.
How it fits the AI era
AI can speed up research, prototyping and data analysis, so a product lead can test more ideas in less time. Cleo is built around an AI assistant, so credit features are likely to sit inside a conversation with the user. The human part stays central: judging what is fair for users, weighing risk against growth, and making sure lending stays responsible and does not push people toward costly debt.
How it builds AI experience
Working here would mean shaping credit features inside a conversational AI product used by millions of people. A candidate can build relevant experience by prototyping small AI-assisted money experiences, running experiments on how people respond to them, and learning how risk models and user guidance work together in lending.
Worth showing
- Mobile fintech product work
- Experiment-led improvements
- Credit or lending knowledge
- Clear business cases
This is our own read, written from the employer’s posting and the company’s Spotlight. The employer’s posting is the source of truth for the role.
About Cleo
Conversational artificial intelligence financial assistant for personal budgeting, credit building, and savings management.
#J-18808-Ljbffr…