Building an AI-ready data foundation at Superhuman with Databricks and Fivetran

As Superhuman expanded its AI platform across Grammarly, Coda, Superhuman Mail, and Superhuman Go, more of the business began to rely on timely data from Salesforce, Outreach, Pardot, Stripe, Zendesk, Qualtrics, and other third-party systems. The challenge went far beyond moving data into Databricks. Go-to-market, finance, and customer teams needed faster, reliable access to trusted data without turning every new data request into weeks of custom engineering.

In this session, Superhuman shares how it standardized third-party ingestion on Fivetran, built a self-serve operating model in Databricks, and used Connector SDK plus AI-assisted development to cut specialized connector work from months to days. The result: faster reporting and alerting for a $300M ad program, support for internal AI-ready workflows, and a broader data foundation that contributed to a 10% lift in LTV.

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