Embedded capital and financial products infrastructure for platforms' small business sellers
Parafin provides embedded lending infrastructure that lets marketplaces, vertical SaaS and payment platforms offer capital to their small business sellers. A Spark, Databricks, Airflow and XGBoost stack, with dbt being newly adopted, points to model-driven underwriting built on platform performance data. Hiring is accelerating and skews senior and engineering-heavy, with a new Head of Marketing role signaling a push to formalize go-to-market.
Notable leadership hires: Head of Marketing
Parafin is a San Francisco-based, privately held financial services company founded in 2020 with 51–200 employees. It sells to platforms such as marketplaces, vertical SaaS providers and payment companies, which integrate once to offer financial products to their small business sellers. Its product suite covers capital, spend management and savings tools, with financing tailored using sellers' real-time business performance data. The company currently hires in the United States across engineering, data, product, marketing, sales, design, finance and HR.
Parafin uses Python, Go, Scala, TypeScript and React on AWS and GCP, with Apache Spark, Databricks, Airflow, dbt and XGBoost for data and modeling, plus Terraform, Datadog, Buildkite and PostgreSQL.
Yes. Engineering is Parafin's largest hiring area, followed by data, with most openings at senior or staff level and hiring velocity accelerating in the United States.
Parafin is evolving its lending product platform, building net-new partner integrations, extending platform capabilities to new product verticals, and automating capital operations processes.
Other companies in the same industry, closest in size
Parafin'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.