As one of the first pioneers of earned wage access, our passion at EarnIn is building products that deliver real-time financial flexibility for those with the unique needs of living paycheck to paycheck. Our community members access their earnings as they earn them, with options to spend, save, and grow their money without mandatory fees, interest rates, or credit checks.
We’re fortunate to have an incredibly experienced leadership team, combined with world-class funding partners like A16Z, Matrix Partners, DST, Ribbit Capital, and a very healthy core business with a tremendous runway. We’re growing fast and are excited to continue bringing world-class talent onboard to help shape the next chapter of our growth journey.
At EarnIn, we believe that the best way to build a financial system that works for everyday people is by hiring a team that represents our diverse community. Our team is diverse not only in background and experience but also in perspective. We celebrate our diversity and strive to create a culture of belonging. EarnIn does not unlawfully discriminate based on race, color, religion, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), gender identity, gender expression, national origin, ancestry, citizenship, age, physical or mental disability, legally protected medical condition, family care status, military or veteran status, marital status, registered domestic partner status, sexual orientation, genetic information, or any other basis protected by local, state, or federal laws. EarnIn is an E-Verify participant.
EarnIn does not accept unsolicited resumes from individual recruiters or third-party recruiting agencies in response to job postings. No fee will be paid to third parties who submit unsolicited candidates directly to our hiring managers or HR team.
Lead and mentor an engineering team while owning the design, architecture, and delivery of complex SaaS features across backend, web, and mobile in high-scale production environments.
Lead the Growth Platform organization and its multi-year strategy, unifying growth systems and applying ML and AI agents to improve targeting, experimentation, personalization, and team execution.
Lead an interdisciplinary engineering and data team building and operating machine learning systems for search, recommendations, and personalization, setting technical direction and delivering reliable solutions at scale.
Leads a team building Spark compiler and runtime capabilities, setting technical direction and guiding architecture while improving workload correctness, performance, reliability, and cost-efficiency.
Leads a board design and layout team developing compute hardware platforms for autonomous driving, guiding architecture, validation, and production while ensuring quality, reliability, and manufacturability at scale.
