Mobile-first AI platform for credit building and financial wellness
Credit Genie operates a mobile app platform layered on machine-learning models (Python, scikit-learn, XGBoost) and cloud infrastructure (Snowflake, Databricks, AWS/GCP/Azure). The hiring shape—73 engineers, 12 security staff, and 8 legal roles across a 51–200-person org—reflects the dual engineering challenge: scaling a consumer mobile app to millions of users while navigating financial compliance and fraud prevention. Active projects on MLOps, model deployment, and legal frameworks for lending products reveal the company is moving from single-product to multi-product (architect new products) in a heavily regulated space.
Notable leadership hires: Chief Design Officer, Chief Information Security Officer, Mobile Engineering Director
Credit Genie is a mobile-first financial wellness platform founded in 2019 and headquartered in Philadelphia. The platform uses AI to deliver personalized financial insights and services including credit building tools and instant-access credit products. The technology stack spans iOS and Android mobile clients, Python-based ML models (NumPy, pandas, scikit-learn, XGBoost), and cloud data infrastructure (Snowflake, Databricks) on AWS, GCP, and Azure. The company is expanding internationally and building new lending products, which requires handling both technical scaling (backend systems, mobile app architecture for growth) and regulatory complexity (credit/lending legal frameworks, compliance).
Mobile: Swift, iOS, Android, Kotlin. Data/ML: Python, NumPy, pandas, scikit-learn, XGBoost, Snowflake, Databricks, Jupyter. Cloud: AWS, GCP, Azure, AWS CDK, Terraform, Kubernetes. Analytics: Tableau, Power BI, Qlik. Design: Figma, Sketch, Adobe Creative Cloud.
Philadelphia, PA. The company was founded in 2019 and is privately held. It is actively hiring in the United States and Canada.
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