Point-of-sale financing platform with segmented credit controls
ClarityPay builds credit and financing controls for merchants at the point of sale. The stack reveals a data-heavy, risk-conscious operation: SQL + Python + Redshift + SageMaker for modeling, paired with observability across Datadog, New Relic, Grafana, and Splunk. The hiring shape is director-heavy (15 director roles across finance, product, engineering, and sales in a 37-person org), and they're actively adopting Databricks—indicating a push toward more sophisticated risk and credit decisioning as volumes scale.
Notable leadership hires: Implementation Director
ClarityPay provides point-of-sale financing solutions that allow merchants to offer flexible credit options to customers at checkout. The platform emphasizes merchant control over credit programs and customer segmentation, enabling retailers to optimize conversion and customer lifetime value through tailored financing offers. Headquartered in New York and founded in 2024, the company operates with a finance-led structure (6 finance hires) paired with product, engineering, and sales teams. Active projects span credit policy implementation, automated decision systems, and human-in-the-loop risk frameworks, with stated focus on scaling customer support and partner implementations while protecting capital and maintaining product reliability.
Python, SQL, AWS (Redshift, Athena, Glue, SageMaker), Databricks, Tableau, QuickSight, Jira, and observability tools including Datadog, New Relic, Grafana, CloudWatch, and Splunk.
New York, NY. The company was founded in 2024 and currently employs 11–50 people, hiring exclusively in the United States.
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