Exam development, delivery, and proctoring for credentialing programs
Meazure Learning builds and delivers secure exams for academic and professional credentialing, running a Ruby on Rails, React, and Go product stack across AWS, Azure, and GCP. A deep Azure data layer (Databricks, Synapse, Microsoft Fabric, Delta Lake) sits alongside AI-enabled platform work, while hiring is accelerating with VP-level and principal roles concentrated in engineering and security, pointing to a push on test integrity and platform reliability.
Notable leadership hires: Account Director
Meazure Learning, founded in 2008 and headquartered in McLean, Virginia, provides test development, administration, and proctoring services for academic and professional credentialing organizations. Exams are delivered remotely, at physical test centers, in hybrid formats, and through event-based sittings. The privately held company employs 1,001–5,000 people and combines in-house assessment expertise with its own software platform. Customer operations run on Salesforce, Zendesk, and Totango, and current hiring spans the United States and India.
Meazure Learning uses Ruby on Rails, React, Go, and PostgreSQL on AWS, Azure, and GCP, with Kubernetes, Terraform, Datadog, and an Azure data stack including Databricks, Synapse, and Microsoft Fabric.
Yes. Hiring is accelerating and engineering is the largest focus, alongside security, HR, and product roles, with senior and VP-level openings in the United States and India.
Current initiatives include AI-enabled product and platform innovation, CI/CD pipeline modernization, cloud infrastructure optimization, a monitoring and observability platform, and stronger testing security standards.
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Meazure Learning'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.