AI-enabled integration platform spanning iPaaS, EDI, API management and apps
Jitterbit builds Harmony, an integration and automation platform covering iPaaS, EDI, API management, low-code apps and MCP. Its stack pairs a Java/Node.js/Kafka/Kubernetes core with an AI layer of OpenAI, AWS Bedrock, Azure AI, LangChain and LlamaIndex, which shows agentic features are being built into the product itself. Hiring is accelerating and skews toward senior engineering, with repeated work on test automation and CI/CD.
Jitterbit is a privately held software company founded in 2003 and headquartered in Alameda, CA, with 201–500 employees. Its Harmony platform lets organizations connect systems, exchange EDI data, manage APIs, build applications and deploy AI agents and automation. The company serves organizations in dozens of countries and hires across the United States, Canada, Brazil and India. Go-to-market runs on Salesforce, HubSpot, Gong and Salesloft, supported by customer success teams handling onboarding and business reviews.
Jitterbit's stack includes Java, Node.js, TypeScript, Angular, Python, Kafka, Elasticsearch, MySQL, Redis, Docker, Kubernetes and AWS. For AI work it uses OpenAI, AWS Bedrock, Azure AI, LangChain and LlamaIndex.
Yes. Engineering is Jitterbit's main hiring focus and skews toward senior roles. Hiring is accelerating across the United States, Canada, Brazil and India, with smaller openings in marketing, sales and support.
Jitterbit is adding AI capabilities to its Harmony platform and developing iPaaS and API management features. It is also strengthening its SaaS offering through testing infrastructure, CI/CD integration and test reporting.
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Jitterbit'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.