Referral system that pays for itself

Growth depended on paid channels and the cost was climbing. Frontline workers used the product daily and knew people who would benefit, but there was no in-product way to bring their network in, so word-of-mouth never turned into seats.

Designed the referral engine end to end: eligibility, attribution, automatic job scraping from third-party vendors, fraud checks, reward fulfilment, and a microfrontend that drops into both web and mobile. Built the team, ran the GTM with Sales and PM, and designed for a 99.99% SLA from day one.

$1.5M+ in attributable revenue per year, $500K ARR, and the platform’s top revenue channel. Now drives a meaningful share of new seat growth at a fraction of paid CAC.