Employee engagement and benefits platform for mid-market and enterprise
Reward Gateway operates a SaaS platform for employee benefits, recognition, and engagement across 750+ staff. The tech stack reveals a dual-layered architecture: Braze (marketing automation), Azure + AWS (cloud compute), React + PHP/Python (application tiers), and emerging use of Claude and RAG tools for AI-driven personalization. Hiring velocity is accelerating with sales roles outnumbering engineering 2:1—a signal of sales-led expansion into new verticals—while the project list (merchant partner campaigns, retail engagement strategy, partner onboarding) suggests a shift toward platform partnerships and channel models rather than pure direct sales.
Notable leadership hires: Head of Retail Marketing, Head of Engineering, Head of Sales
Reward Gateway delivers software for HR leaders and companies to design and manage employee benefits, rewards, recognition, and wellbeing programs. Founded in 2006 and headquartered in London, the company operates at the intersection of HR software and employee engagement, serving enterprise and mid-market organizations. The platform integrates benefits administration, strategic recognition tools, and employee communications into a single surface. The company employs 1,001–5,000 people and operates across multiple geographies including the UK, US, Australia, and Bulgaria. Active priorities include scaling merchant and retail partnerships, optimizing platform architecture (Azure services, modularization), and addressing adoption barriers within customer accounts.
Braze (marketing automation), Azure and AWS (cloud infrastructure), React, PHP, Python, MySQL, Kubernetes, Terraform, Heap (analytics), and LaunchDarkly (feature flags). Recently integrated Claude and RAG for AI-driven features.
Merchant partner ecosystem expansion (partner onboarding, retail engagement strategy), Braze platform integration, global design tools rollout, and authentication/identity infrastructure. Also addressing platform modularization and Azure service optimization.
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