Shape business strategy and scale B2B initiatives by driving go-to-market and customer adoption, turning AI pilots into durable workflows, and aligning cross-functional teams around measurable growth.
EarnIn jobs
EarnIn is an app that gives you access to the pay you've earned - when you want it. Get paid for the hours you've worked without waiting for payday.
22 open roles at EarnIn
Own technical product strategy and lead AI-native, zero-to-one initiatives from discovery through production, improving how teams build, evaluate, and ship reliable products.
Lead a full-stack team of backend and mobile engineers, balancing hands-on architecture and development with coaching, hiring, and cross-functional delivery of new product features and core services.
Support corporate development transactions from target screening and due diligence through valuation and integration, using financial analysis and research to inform investment recommendations and senior leadership decisions.
Supports Thailand employees and the Bangkok office by coordinating people programs, onboarding, employee relations, immigration processes, and site operations while partnering with global People teams.
Seeking a versatile Senior Product Designer skilled in UI design, ad creative, and video editing, leveraging AI tools for efficient and high-quality creative output.
As a Senior Product Manager on the Risk team, you will lead product innovations in Credit, Fraud, and Risk Operations, driving strategy and execution to enhance financial solutions for community members.
The Senior HRIS Analyst will own and enhance the Workday platform, focusing on payroll administration and Core HCM, while driving operational efficiency and system optimization.
The Senior HRIS Analyst will own and enhance the Workday platform, focusing on payroll administration and Core HCM, while driving system optimization and cross-functional collaboration.
As a Staff Risk Analyst, you'll leverage analytics and data science to optimize credit risk policies, enhance member retention, and drive strategic insights for growth.
As a Senior AI Builder, you will design and implement AI-native engineering processes, creating production-ready agents and tools that enhance the product development lifecycle at EarnIn.
Design, build, and operate agentic systems and core infrastructure as a Senior Platform Engineer, enhancing automation and reducing operational toil across engineering teams.
Lead EarnIn's reliability maturity by implementing an AI-first operating model to enhance incident response, operational quality, and reliability practices across engineering teams.
Scale and operate enterprise data infrastructure, automate data delivery, and build AI-powered analytics while guiding technical direction and collaborating across teams.
As a Senior Staff Software Engineer, you'll define and evolve the Identity & Trust platform, ensuring secure customer onboarding and protecting sensitive information across EarnIn's ecosystem.
Own the end-to-end app experience across the home screen, navigation, design system, and platform, using member insights, data, and experimentation to improve discovery, activation, and product quality.
Leads a full-stack team of backend and mobile engineers, combining hands-on architecture and development with coaching, recruiting, and cross-functional delivery of new products and core services.
Design and lead core financial product experiences, from bank connectivity and account setup to earnings tracking and repayment, using research and cross-functional collaboration to improve usability, trust, and retention.
The Staff Analyst will collaborate with the CMO and product leadership to drive user growth and engagement by shaping analytics strategy and building AI-driven workflows.
Designs and operates AI-native developer tools and agentic workflows that improve engineering productivity, software delivery quality, and CI/CD reliability across product engineering teams.
Design and operate AI-assisted platform capabilities, combining agentic workflows and LLM tooling with Kubernetes, GitOps, observability, and FinOps to improve developer efficiency, reliability, and cost.
The Head of Machine Learning will lead and scale machine learning initiatives, ensuring robust systems that drive impactful decisions and enhance customer value.
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