Employee rewards, benefits, and wellbeing platform for distributed workforces
Perkbox operates a multi-surface employee engagement platform (rewards, recognition, benefits, wellbeing) serving over 4,000 businesses globally. The tech stack is modern and polyglot—React/React Native frontend, Rails/Go backend, PostgreSQL/MySQL data layer, Databricks for analytics—but the hiring pattern reveals internal friction: engineering is scaling aggressively while data quality and governance remain listed pain points, suggesting the platform's growth is outpacing data infrastructure maturity. Active projects in AI automation and DevSecOps signal an attempt to close that gap.
Notable leadership hires: AI Automation Lead
Perkbox is a London-based employee engagement platform founded in 2015. The product consolidates rewards, recognition, benefits administration, and wellbeing tools into a single mobile app and dashboard, targeting mid-market to enterprise companies with distributed teams. The platform handles recognition workflows, salary sacrifice programs, and personalized reward choice at scale across over 4,000 customer organizations. Perkbox operates across the UK, Bulgaria, and Australia; the organization is engineering-focused with active work underway on platform architecture, AI-driven automation, and security hardening.
Perkbox uses React and React Native for mobile/web, Ruby on Rails and Go for backend services, PostgreSQL and MySQL for databases, Kubernetes for orchestration, and Databricks for analytics. Salesforce, Mixpanel, and Google Analytics handle CRM and behavioral data.
Perkbox is actively recruiting in the United Kingdom, Bulgaria, and Australia. The company is based in London and employs 51–200 people.
Perkbox'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.