Open-source data integration and context layer for AI agents
Airbyte is an open-source data movement company repositioning its connector platform as a data access layer for AI agents. The stack pairs Kotlin/Java connector engineering, CDC and Temporal orchestration with LangChain and Pydantic AI, and projects span agent infrastructure and an AI runtime orchestration layer. Recurring pain points around replication bugs and CDC show the core database connectors still need hardening while the AI pivot proceeds.
Airbyte, founded in 2020 and headquartered in San Francisco, builds data integration software that replicates data from business systems such as CRM, billing and support tools into warehouses like Snowflake, BigQuery and Redshift. The company positions this connector base as a foundation that gives AI agents permission-aware access to operational data, combining bulk replication with real-time fetching. It offers an open-source product alongside Airbyte Cloud. The company is privately held with 51–200 employees and currently hires in the United States across engineering, sales and support.
Airbyte runs on Kubernetes, Helm and Terraform across AWS and GCP, builds with Java, Kotlin, Python and TypeScript/React, orchestrates with Temporal, and monitors via Prometheus, Grafana and Datadog.
Yes. Airbyte's stack includes LangChain and Pydantic AI, supporting projects to evaluate AI agent frameworks and build agents infrastructure and an AI runtime orchestration layer.
Yes, at a steady pace in the United States, mostly senior roles across engineering, sales and support, with smaller openings in finance and HR.
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Airbyte'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.