Earned wage access and on-demand pay platform for employers
DailyPay provides on-demand pay as an employee benefit, letting workers access earned wages before payday. Its stack spans AWS, GCP and Azure with ML tooling on all three (SageMaker, Vertex AI, Azure ML), and job posts point to consolidation into a unified ML platform plus work on durable AI agents. Hiring is accelerating and sales-led, with a push into the healthcare market.
Notable leadership hires: Accounting Director, Sales Director
DailyPay, founded in 2015 and headquartered in New York, offers earned wage access as a financial wellness benefit that employers provide to their workforce. The company sells to employers, with LinkedIn citing more than 1,000 employer clients. It is privately held, has 501–1,000 employees, and currently hires in the United States. Engineering runs on Go, Python and JavaScript, with Kafka for streaming, Terraform and CloudFormation for infrastructure, and Salesforce and Boomi supporting go-to-market and integrations.
DailyPay uses Go, Python and JavaScript across AWS, GCP and Azure, with Kafka, Docker, Terraform, Datadog and Prometheus, plus ML tools like SageMaker, Vertex AI, PyTorch and TensorFlow.
Yes. Hiring is accelerating in the United States, led by sales, then engineering and data, with senior and director-level roles including Sales Director and Accounting Director.
Job posts point to a unified ML platform, scalable ML pipelines, ETL and data pipelines, fraud controls, AI workflow evaluation, durable agents and healthcare-focused go-to-market.
Other companies in the same industry, closest in size
DailyPay'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 →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.
