Description
You will own the full lifecycle of integrations that power Hebbia's AI , from designing connectors to deploying them in production, monitoring their behavior, and debugging failures in real time.
You'll work across systems like Snowflake, S3, SharePoint, and internal customer infrastructure , building pipelines that need to handle real-world complexity: unreliable APIs, evolving schemas, massive datasets, and edge cases that don’t show up in documentation.
This role is hands-on, high-ownership, and deeply technical. You won’t just write code , you’ll develop the instincts to operate and debug complex distributed systems in production.
You will build connectors and ingestion pipelines that bring enterprise data into Hebbia's AI platform, from Snowflake warehouses and SharePoint libraries to live pricing feeds, high-velocity news data, and proprietary customer systems.
You will design and operate pipelines that handle scale, failures, and edge cases gracefully.
You will debug issues across APIs, auth systems, and data formats, often under real-time customer pressure.
You will own reliability end-to-end: monitoring, alerting, on-call, and incident response.
You will improve internal tooling and observability to make systems more robust and easier to operate.
You will partner with product and customer teams to scope, prioritize, and ship the integrations that unlock Hebbia's highest-value use cases.
You will design and ship agents that sit on top of the ingestion layer, making enterprise data accessible and actionable across all of Hebbia's product surfaces , from document analysis to structured query workflows.