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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.

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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.

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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.

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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.

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You will design and operate pipelines that handle scale, failures, and edge cases gracefully.

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You will debug issues across APIs, auth systems, and data formats, often under real-time customer pressure.

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You will own reliability end-to-end: monitoring, alerting, on-call, and incident response.

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You will improve internal tooling and observability to make systems more robust and easier to operate.

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You will partner with product and customer teams to scope, prioritize, and ship the integrations that unlock Hebbia's highest-value use cases.

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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.

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XML job scraping automation by YubHub

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