Jobs at Earnin

Own and build Android growth features end-to-end: partner with product/design/analytics, run instrumented experiments (A/B tests), use AI-assisted workflows, contribute across stack as needed, ensure scalable architectures and robust testing/CI/CD, and iterate based on metrics to improve acquisition, activation, engagement, and retention.

Lead a full-stack engineering team (backend and mobile) to develop early-stage Savings products. Act as a hands-on, product-minded manager embedding AI-native workflows, driving architecture, hiring and coaching engineers, partnering with product, and delivering scalable, high-impact features.

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.

Operate and improve production systems focusing on resilience, observability, incident response, automation, and infrastructure-as-code. Define SLOs/SLIs, build better alerts and runbooks, participate in incidents and postmortems, and use AI-assisted tools to reduce toil and improve operational workflows while partnering with engineering teams.

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.

Lead EarnIn's AI-first reliability engineering, enhancing incident response, automation, and resilience in operations while mentoring engineers.

Administer and support CX tooling, own intake and triage via Jira, implement automated agentic workflows, manage user lifecycle with Okta, run audits and remediation, coordinate vendor escalations and incident response, maintain runbooks and telemetry, and partner with Engineering, IT, and Security to ensure operational reliability.

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.

Lead end-to-end implementations of EarnIn Payroll for payroll bureau clients: configure systems, manage data migration, train users, own project plans and communications, resolve issues with Product/Engineering, provide post-go-live support, and maintain detailed implementation documentation.

Lead iOS development, optimize mobile infrastructure, and ensure performance while driving complex product feature implementation and collaborating with backend teams.

Lead Android development by designing and shipping scalable features, APIs, and architectures. Collaborate with product, design, and server teams, create unit and UI automation tests, instrument analytics, drive cross-platform parity, and lead prototype-first, spec-driven development.

Lead ownership and optimization of Workday Core HCM and security. Design business processes, security architecture, integrations, reporting, and governance. Partner with People, Finance, and IT to drive automation, data integrity, system strategy, testing, and documentation, leveraging AI to scale workflows and improve accuracy.

Process and reconcile domestic and international payroll, prepare payroll journal entries and accruals, maintain payroll records, respond to employee payroll inquiries, ensure regulatory compliance, collaborate with HR, analyze variances, and support audits and process improvements.

The Senior Growth Marketing Manager will drive user acquisition through paid social channels, optimize marketing campaigns using data, and collaborate with cross-functional teams for effective product launching and insights reporting.

Design and operate AI capabilities within infrastructure, focusing on workflows, cost control, and platform stability in a hybrid role.

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

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 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.

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.