Paymob operates a regional payments platform serving 390,000+ merchants across Egypt, Saudi Arabia, UAE, Oman, and Pakistan. The tech stack reveals a data-heavy organization: Amplitude, Mixpanel, and CleverTap feed into dbt + Redshift pipelines, while Kafka and Spark handle transaction volume. Active projects in ML-driven churn/fraud detection and A/B testing, paired with pain points around settlement reconciliation and enterprise upselling, suggest a shift from pure volume plays toward predictive analytics and relationship depth.
Paymob is a fintech infrastructure provider building omnichannel payment solutions for merchants and SMEs across the MENA-P region. The platform enables businesses to accept online and offline payments, manage finances, and access working capital—all in one place. Founded in 2015, Paymob was the first to receive Egypt's Central Bank Payments Facilitator license (2018) and has since expanded to Pakistan (2021), UAE (2022), Saudi Arabia (2023), and Oman (2023), each marked by local regulatory certification. The company employs 1,100 people and serves millions of transactions monthly for both regional enterprise names and thousands of SMEs.
Paymob runs Kafka and Apache Spark for transaction streaming, dbt + Redshift for analytics pipelines, and Amplitude/Mixpanel/CleverTap for product telemetry. ML workloads use MLflow, Vertex AI, and SageMaker. Monitoring runs on Kibana; testing on Selenium and Cypress.
Paymob is headquartered in Cairo, Egypt, with 1,100 employees across offices in Egypt, Saudi Arabia, UAE, Oman, and Pakistan.
Active projects include product and event analytics, A/B testing, ML models for churn and fraud detection, market entry assessment for GCC expansion, and go-to-market planning for new regional launches.
Paymob'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.