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Lead Growth & Marketing Analytics at EarnIn, focusing on user growth through analytics strategy, team development, and cross-functional collaboration, enhancing marketing efficiency and insights.

Summer internship on the Data team working with ML, Growth, and GTM teams. Analyze user behavior, build dashboards, run and evaluate A/B tests, develop segmentation and cohort analyses, synthesize findings, and present actionable recommendations to 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.

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 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.

Lead end-to-end lifecycle marketing across owned channels (email, SMS, push, in-app). Design, execute, and optimize automated journeys, use AI to accelerate operations, build reporting and dashboards, ensure QA and documentation, and drive activation, retention, and winback.

The Software Engineer will design and implement backend features, create REST APIs, debug production issues, and leverage new technologies while collaborating with multiple teams in a hybrid work environment.

As a backend engineer, you'll design and develop backend services, create robust APIs, manage databases, and ensure code quality while collaborating with various teams.

The Sr. Data Analyst will drive product analytics, collaborate with product and engineering teams, and implement advanced experimentation tools while extracting actionable insights from data sets.