About Eventual
Every breakthrough AI application, from foundation models to autonomous vehicles, relies on processing massive volumes of images, video, and complex data. But today’s data platforms (like Databricks and Snowflake) are built on top of tools made for spreadsheet-like analytics, not the petabytes of multimodal data that power AI. As a result, teams waste months on brittle infrastructure instead of conducting research and building their core product.
Eventual was founded in 2022 to solve this. Our mission is to make querying any kind of data, images, video, audio, text, as intuitive as working with tables, and powerful enough to scale to production workloads. Our open-source engine, Daft, is purpose-built for real-world AI systems: coordinating with external APIs, managing GPU clusters, and handling failures that traditional engines can’t. Daft already powers critical workloads at companies like Amazon, Mobileye, Together AI, and CloudKitchens.
We’ve assembled a world-class team from Databricks, AWS, Nvidia, Pinecone, GitHub Copilot, Tesla, and more, quadrupling our size within a year. With Series A and seed funding from Felicis, CRV, Microsoft M12, Citi, Essence, Y Combinator, Caffeinated Capital, Array.vc, and top angels from the co-founders of Databricks and Perplexity, we’re looking to double the team now.
| Role | Location |
|---|---|
| Software Engineer, High Performance Computing | San Francisco |
| Software Engineer, Product | San Francisco |
| Software Engineer | New York, NY |
| Founding Ops | Los Angeles, CA · New York, NY |
| Software Engineer, Systems | San Francisco |
| Software Engineer, Multimodal Storage Infrastructure | San Francisco |
| Research Engineer, Multimodal Data | San Francisco |
| BDR | Los Angeles, CA · New York, NY |
| Growth | Los Angeles, CA · New York, NY |
| Generalist | Los Angeles, CA · New York, NY |
| Software Engineer, New Grad | San Francisco |
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