Kernel · Accurate entity data, guaranteed
Kernel is building a reliable business identity layer for AI agents, and this role involves designing and developing product features that directly impact user workflows. The position requires a T-shaped product engineer with a strong backend focus to collaborate with cross-functional teams and ship code autonomously in a fast-paced environment. The role offers the opportunity to help scale systems that power enterprise AI while working directly with the founders.
Kernel is an AI-native entity data platform that guarantees CRM data accuracy as an alternative to legacy providers like Dun & Bradstreet. It resolves every company record to a unique persistent ID, enriches records with full corporate hierarchies and firmographic data, and automatically fixes errors to ensure data quality. Kernel serves RevOps and GTM teams at enterprise companies looking to grow confidently with data they can trust.
Headquarters
San Francisco, CA
Company Size
201-500 employees
Founded
2018
Industry
Technology
Glassdoor Rating
4.2 / 5
Sarah Johnson
Chief Executive Officer
Michael Chen
Chief Technology Officer
Emily Williams
VP of Engineering
David Rodriguez
VP of Product
Jessica Thompson
Chief Financial Officer
Andrew Park
VP of Sales
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and employee contacts for Kernel · Accurate entity data, guaranteed.