Design and deploy AI-powered solutions to streamline processes and enhance customer experience at PayJoy.
Posted by employer 2 weeks ago
First seen on Joblaze 1 day ago
Last verified on the company career page 1 day ago
Not disclosed in this posting: compensation, seniority, years of experience, work arrangement, visa sponsorship.
Joblaze summary
The Automation & AI Analyst at PayJoy focuses on creating and implementing AI-driven solutions that enhance operational efficiency and minimize manual tasks. This role requires expertise in machine learning, data science, and automation technologies to identify and develop scalable models and workflows. It is well-suited for individuals with a strong technical background and experience in bridging business requirements with AI applications. PayJoy's mission-driven approach emphasizes the importance of using technology to support underserved markets.
From the original posting
About PayJoy
PayJoy, a Public Benefit Corporation, is a mission-first credit provider dedicated to helping under-served customers in emerging markets to achieve financial stability and success. Our patented technology for secured credit provides an on-ramp for new customers to enter the credit system. Through PayJoy’s point-of-sale financing and card offerings, customers gain access to a modern quality of life. PayJoy’s credit also allows our customers to seize opportunities as micro-entrepreneurs, and acts as insurance for tough times. Through our cutting-edge machine learning, data science, and anti-fraud AI, we have served over 18 million customers as of 2025 while achieving solid profitability for sustainable growth.
This role
The AI and Automation Analyst is responsible for designing, building, and deploying AI-powered solutions and automations that streamline processes, reduce manual work, and unlock new capabilities across PayJoy. Acting as the bridge between business needs and applied AI/automation technology, this role identifies opportunities, develops and integrates models, agents, and workflow automations, and ensures they run reliably and responsibly in production. Ultimately, the engineer turns repetitive tasks and complex problems into scalable, intelligent solutions that improve efficiency, decision-making, and customer experience.