Vehicle rental and fleet leasing platform serving Chile with 20,000+ units
Salfa Rent operates a national vehicle rental and leasing business across Chile with a 20,000-unit fleet and 19 branch locations. The tech stack—Salesforce, SAP, Power BI, Looker, plus a custom backend (NestJS, Node.js, PostgreSQL, Docker, Kubernetes on GCP)—suggests a company modernizing its core fleet and customer management systems while building internal analytics infrastructure. Hiring velocity is accelerating across operations (21 roles), sales (17), and engineering (14), with a steep pyramid of junior and intern hires, indicating either significant onboarding or scaling pressure in core logistics and sales functions.
Salfa Rent is one of Chile's largest vehicle rental and operational leasing providers, with a fleet exceeding 20,000 units serving both individuals and businesses nationwide. The company operates 19 branch locations spanning Arica to Punta Arenas, alongside a network of in-house and partner service centers. Core offerings include vehicle rental, operational leasing, and fleet management solutions. Active projects center on fleet optimization, Salesforce campaign automation, Power BI reporting, and digital improvements—all aimed at addressing recurring operational challenges around fleet utilization, inventory control, and supply chain efficiency.
Salfa Rent operates a fleet exceeding 20,000 vehicles across Chile, with national coverage from Arica to Punta Arenas through 19 branch locations and a network of in-house and partner service centers.
Salfa Rent's primary stack includes Salesforce (CRM), SAP (ERP), Power BI and Looker (analytics), PostgreSQL (database), NestJS and Node.js (backend), Kubernetes and Docker (containerization), and GCP (cloud infrastructure), with GitLab CI/CD for deployment.
Salfa Rent'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.