Jobs at Earnin

Develop and maintain EarnIn's iOS application features and architecture. Collaborate with product, design, and server teams to design APIs, build analytics, and implement scalable iOS solutions. Write unit and UI automation tests, follow software engineering best practices, and responsibly use AI-assisted development tools to improve code quality and speed.

Design, build, and maintain backend microservices (Go) and frontend features (React/TypeScript) for a time & attendance payroll product. Implement scalable APIs, deploy services to Kubernetes, manage infrastructure as code, investigate production issues, perform code reviews, and collaborate with product and design to deliver reliable, user-focused features.

Design, build, and maintain backend microservices (Golang) and frontend features (React/TypeScript) for a time & attendance product; deploy and operate services on Kubernetes; collaborate with product and design; perform root-cause analysis, code reviews, and deliver scalable, reliable payroll workflows.

Owner of Android development for the Offers team: design and ship features end-to-end, partner with product/design, run experiments (A/B tests), build APIs and scalable architecture, mentor engineers, and contribute across stacks (iOS/backend) while using AI-native tooling to accelerate spec-driven development.

As a Software Engineer for EarnIn, you'll design and develop both frontend and backend services for payroll products, ensuring they meet performance and usability standards. You'll collaborate with teams to enhance user experiences, troubleshoot issues, and contribute to microservices.

The Staff Software Engineer will design and develop scalable web applications, ensuring high code quality and mentoring the engineering team. Responsibilities include collaborating on user experiences, performing code reviews, and analyzing feature effectiveness.

Lead owned-channel lifecycle marketing (email, SMS, push, in-app) to drive activation, retention, and winback. Design and execute data-driven campaigns, manage automation journeys, use AI to accelerate ops, run A/B tests, build reporting dashboards, ensure QA and documentation, and identify growth opportunities.

The Product Operations Specialist will bridge customer care and product management, ensuring a seamless customer journey, managing support tickets, conducting user research, and driving product launch readiness at EarnIn, a fintech company.

The Staff Data Engineer will lead data infrastructure operations, implement AI automation, and develop analytical tools while mentoring others and engaging with various stakeholders.

As a Software Engineer II at EarnIn, you'll automate operations through AI agents, manage Kubernetes infrastructure, enhance developer experience, and improve operational excellence with best practices in platform development.

The Senior Software Engineer will design and build backend services, contribute to microservices integration, mentor team members, and debug production issues.

The Senior Software Engineer will build AI-native tools to improve engineering productivity, reduce manual effort, and enhance software delivery at EarnIn, drawing from experience in developer workflows and infrastructure.

The Staff Risk Analytics role involves overseeing fraud risk management, developing strategies, leading cross-functional initiatives, and providing real-time analytics in fintech.

The Software Engineer will build AI-powered chatbot workflows, own features end-to-end, and collaborate in a fast-paced environment. Ideal candidates have a strong engineering foundation and experience with AI development tools, focusing on enhancing software processes.

The Staff Systems Administrator will lead enterprise identity architecture, implement AI workflows, and automate IT processes while mentoring engineers.

The Senior Full Stack Engineer will lead the development of scalable frontend and backend solutions, mentor engineers, and collaborate with product teams to enhance user experiences across EarnIn's platform.

Lead and scale machine learning efforts, manage teams, drive operational excellence, and align ML strategies with business goals.

The Head of Machine Learning will manage a high-performing ML team, ensure the success of ML systems, and drive initiatives across business partnerships. The role emphasizes strong production engineering and theoretical ML expertise.

The Platform Software Engineer will design and optimize cloud infrastructure, develop AI agents for automation, manage Kubernetes on AWS, and enhance developer experience and system observability.

Mid-level backend engineer to design and implement scalable backend services and REST APIs, build test automation and CI/CD pipelines, debug production systems, and work on distributed, microservice-based architectures.