Mobile-first consumer finance app for cash access and credit building
Credit Genie runs a mobile consumer finance app offering cash access and credit-building tools, built natively in Swift/SwiftUI and Kotlin on an AWS, Kubernetes and Terraform/OpenTofu backend. Hiring is accelerating and skews heavily to senior and staff engineers, aligned with greenfield infrastructure for new product lines. An XGBoost/scikit-learn stack on Snowflake and Databricks points to in-house ML underwriting, while marketing hires focus on attribution and media-mix modeling.
Credit Genie is a privately held financial wellness company founded in 2019 and headquartered in Philadelphia, PA. It serves individual consumers through a mobile app that uses AI-driven personalization to deliver instant cash access and credit-building services. The company has 51–200 employees and hires across the United States and Canada. Its product organization spans native iOS and Android development, backend services in Go, Java, Node.js and TypeScript, and a data function running on Snowflake, dbt and Airflow.
Credit Genie uses Swift, SwiftUI and Kotlin for mobile, Go, Java and Node.js on the backend, AWS with Kubernetes and Terraform, and Snowflake, dbt, Airflow and Databricks for data, plus XGBoost and scikit-learn for ML.
Yes. Engineering dominates Credit Genie's accelerating hiring, focused on senior and staff-level roles in the United States and Canada, with marketing as the second-largest hiring area.
Credit Genie is architecting new product areas on greenfield infrastructure, scaling its mobile app, building AI infrastructure, improving AWS reliability and deployments, and developing marketing mix modeling and multi-touch attribution.
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Credit Genie's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
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