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Glean is a Work AI platform that powers intelligent search, AI assistants, and scalable AI agents for enterprises. The Data Foundations team owns the end-to-end data ingestion and management layer that processes billions of documents across thousands of enterprise applications, directly determining the quality, freshness, and trustworthiness of knowledge that users interact with daily.
In this role, you will build and scale connectors to diverse SaaS and on-premises systems including Google Workspace, Microsoft 365, Slack, Salesforce, Jira, ServiceNow, and GitHub. You'll handle full syncs, low-latency incremental updates via webhooks and APIs, manage rate-limiting, and implement complex authentication flows. The work extends to building advanced datasource capabilities such as actions, live-fetch, and query language support.
You will transform raw, unstructured enterprise content into rich, structured, permission-aware representations optimized for search and LLM reasoning. This includes designing document schemas and enrichment pipelines that handle entity extraction, access-graph propagation, and redactions. A key focus is expanding AI product capabilities through deep integrations that automate tasks, enable complex queries grounded in enterprise data, and enhance the indexed corpus with live data.
The role requires strong systems thinking around data pipelines, API integration patterns, and the ability to work across a distributed platform serving 1,000+ employees globally. You'll contribute to infrastructure that powers agentic AI capabilities embedded in tools where enterprises work daily.
