K-12 and government e-learning platform serving Middle East and Southeast Asia
Classera operates a multi-stack e-learning platform (React/Vue/Angular frontend; PHP/Python/Go/ASNET backend; PostgreSQL/MySQL/MongoDB data layer) serving K-12 and government training cohorts across the Middle East and Southeast Asia. The hiring footprint—concentrated in Oman, Jordan, Egypt, Saudi Arabia, Thailand, Qatar—reflects geographic expansion into government contracts, evidenced by active projects around Jordanian government digital training and Omanization initiatives. Sales hiring dominance (16 of 44 open roles) paired with multi-stakeholder pain points suggests a transition from self-serve ed-tech to complex B2B2G sales cycles.
Notable leadership hires: HR Director
Classera develops a learning management and e-learning platform targeting K-12 institutions, universities, and government entities across the Middle East and Southeast Asia. Founded in 2012 and headquartered in San Francisco, the company operates as a public entity with 201–500 employees. The product spans content management, virtual classrooms, and distance learning capabilities. Recent project work includes digital training delivery for Jordanian government ministries and compliance-focused initiatives tied to local labor regulations. The organization balances product development with sales infrastructure, currently navigating deployment complexity, multi-stakeholder procurement processes, and partner ecosystem expansion.
Classera runs React, Vue, and Angular on the frontend; PHP, Python, and Go on the backend; PostgreSQL, MySQL, and MongoDB for data storage; AWS and Azure for infrastructure; and .NET/C# for enterprise services.
Current projects include digital training platforms for Jordanian government entities, Omanization compliance initiatives, fraud detection workflows, Kubernetes cluster management, CI/CD pipeline automation, and partner ecosystem activation across government and education sectors.
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Classera'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.