Digital knowledge platform and research services for higher education institutions
ITHAKA operates three interconnected services—JSTOR (a global digital library reaching 180 countries), Portico (a long-term preservation archive), and Ithaka S+R (strategic consulting for colleges and universities). The tech stack reveals a modern, distributed backend (Python, Java, Spring Boot, Node.js, Kafka, Kubernetes on AWS) paired with frontend tooling (React, Vue), indicating an organization scaling digital infrastructure at institutional scale. Current hiring focuses on marketing and research roles, with active projects in paid search optimization and Salesforce migration, suggesting emphasis on growth and operational modernization.
ITHAKA is a nonprofit founded in 1995 to digitize and preserve academic research while expanding global access to knowledge. The organization operates across three distinct business units: JSTOR, a digital platform providing millions of students and researchers across 180 countries access to scholarly content; Portico, a preservation archive safeguarding nearly 500 terabytes of research materials; and Ithaka S+R, a consulting practice helping higher-education institutions solve enrollment, diversity, and learning-outcomes challenges. Staff of 350+ includes software developers, designers, analysts, and domain specialists. The organization serves colleges, universities, libraries, and museums primarily in the United States.
Python, Java, Spring Boot, Node.js, React, Vue, Kubernetes, AWS (Lambda, API Gateway, Step Functions), Kafka, GraphQL, and GitLab. Stack emphasizes cloud-native, distributed architecture for handling large-scale content delivery and data processing.
Active projects include value and public-trust research for postsecondary institutions, tool development for broader adoption, paid search and LinkedIn advertising strategy, Salesforce CLM migration, and data cleanup and preparation efforts.
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ITHAKA'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.