AI-powered collections platform for non-performing loan resolution
Bounce applies machine learning to debt collection and loan recovery, focusing on outcomes that favor both creditors and borrowers. The hiring mix reveals a scaling-operations-first company: operations and finance dominate the active headcount (8 roles combined), while engineering remains lean (2 roles), suggesting the product is largely built and the urgency is operational throughput and compliance. Infrastructure is AWS + Terraform + Pulumi, with financial workflows routed through NetSuite—a typical fintech architecture for handling regulatory complexity at volume.
Bounce develops an AI-driven platform for managing and resolving non-performing loans, targeting creditors and financial institutions. The company was founded in 2021 and is based in New York with around 51–200 employees. Their core offering centers on credit risk modeling and collections automation, supported by behavioral research and legal compliance frameworks. Current priorities include scaling consumer-facing collections tools, improving debt resolution outcomes, and expanding operational capacity across the US, with hiring activity now accelerating across ops, finance, and data functions.
Bounce runs on AWS with infrastructure-as-code (Terraform, Pulumi), Python for modeling, and NetSuite for financial operations. Data and communications flow through Google Workspace and LinkedIn.
Yes, engineering roles are active but limited to 2 open positions. Hiring skews toward operations, finance, and data—indicating a mature product roadmap focused on scaling execution.
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