Pagaya operates an AI-powered marketplace connecting financial institutions with alternative credit customers. The stack is infrastructure-heavy (Kubernetes, EKS, Lambda, EventBridge, DynamoDB) and data-focused (Python, Athena, Terraform, Datadog), reflecting active work on platform scalability and data architecture. Recent hiring skews senior and leadership roles across finance, engineering, and data—matching the company's focus on partner implementations, financial modeling, and indirect lending growth.
Notable leadership hires: Partnerships Director, Head Of Funds Analysis
Pagaya is a public fintech company building an AI network that helps financial institutions reach borrowers outside traditional credit channels. The platform operates as a marketplace enabling lenders to originate and manage alternative credit products through Pagaya's technology and decisioning infrastructure. The company serves mid-market and enterprise financial services clients through direct origination, indirect lending partnerships, and funds management—with active projects spanning partner lifecycle management, origination funnel optimization, and scaling of loan products across multiple channels.
Python, FastAPI, React, TypeScript on AWS (EKS, Lambda, EventBridge, DynamoDB, RDS). Observability: Datadog, Prometheus, Grafana, Coralogix. Data tools: Athena, Tableau. Infrastructure: Kubernetes, Docker, Terraform, Jenkins.
United States, Israel, and Canada. Majority of roles are based in the US, with Israeli and Canadian presence supporting engineering and data functions.
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