Multi-category marketplace platform across 7 markets, powered by AI and trust
OLX operates a multi-market, multi-category classified platform (motors, real estate, jobs, second-hand goods) serving 1,001–5,000 employees across 7 markets and 2 continents. The stack is polyglot and cloud-native (Python, Java, C#, Go on AWS/GCP/Azure with Kubernetes), revealing a mature, distributed engineering model. Hiring is heavily skewed toward sales and marketing (42 of 90 roles), with active projects around seller monetization, AI workflows in Salesforce, and cross-market go-to-market execution—suggesting a shift toward platform consolidation and monetization at scale.
Notable leadership hires: Sales Lead, Head of Marketing
OLX builds marketplace ecosystems connecting buyers, sellers, employers, and dealers across motors, real estate, jobs, and second-hand commerce categories. The company operates in 7 markets across 2 continents, using AI and trust mechanisms to reduce friction and improve transaction safety. The product spans multiple surfaces (listing, search, messaging, reputation) underpinned by a polyglot backend (Python, Java, C#, Go) distributed across cloud infrastructure. Current strategic focus includes seller-side monetization, improving posting conversion, and automating manual marketplace operations.
Python, Java, C#, Go, Elasticsearch, Kubernetes, AWS, GCP, Azure. Backend persistence includes MySQL, SQL Server, DynamoDB, Redis. Mobile: iOS and Android.
Seller growth and monetization, AI workflows in Salesforce, go-to-market strategy for new features, design system governance, Portuguese real estate market expansion, and marketplace trend forecasting.
OLX'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.