Fintech operates PaymentSource, a B2B payment and invoice automation platform built for the beverage alcohol industry, processing transactions across 285,000 retail and hospitality businesses and 7,800+ supply chain partners. The tech stack—Salesforce, Python, PyTorch, TensorFlow, Kafka, Databricks, and PostgreSQL—signals an engineering organization moving toward data-intensive ML and real-time pipelines; active projects show a focus on LLM-based solutions (RAG architectures), end-to-end data pipelines, and BI modernization, while pain points highlight struggles with data governance, invoice automation, and real-time visibility into purchasing data.
Fintech is a payment-processing company serving the beverage alcohol industry for over 35 years. Its core product, PaymentSource, automates B2B invoice payment and collection for retail, hospitality, and supply chain partners across the United States. The platform now extends beyond alcohol transactions to handle all B2B purchase payments, and includes scan-based trading capabilities and a CRM for field execution. Fintech operates from Tampa, Florida, with 201–500 employees, backed by TA Associates and General Atlantic.
Fintech's stack includes Salesforce and HubSpot for CRM; Python, PyTorch, and TensorFlow for ML; Azure cloud services (App Insights, DevOps, Entra ID); Kafka, Databricks, and Apache NiFi for data pipelines; MongoDB and PostgreSQL for databases; and Jira for project management. The company is adopting RAG for LLM-based solutions.
Yes, Fintech has 11 active roles with accelerating hiring velocity. Open positions span data (2), finance (2), sales (2), support (2), engineering (1), ops (1), and security (1), with seniority levels from intern to principal. All hiring is currently in the United States.
Active projects include end-to-end data and ML pipelines, LLM-based solutions with RAG architectures, technology modernization, BI capabilities redesign, accounts payable streamlining, and real-time purchasing data visibility. The company is also addressing invoice automation, vendor payment efficiency, and data governance compliance.
Fintech'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.