Job Description
About Kernel
Kernel provides enterprise RevOps teams with AI-powered company data for their CRMs. We raised $14M in Series A funding from top VCs and operators at Plaid, OpenAI, and Slack to build an AI-native alternative to Dun & Bradstreet's entity and hierarchy data.
RevOps teams at Navan, Gong, Mistral, and AlphaSense use Kernel to run their organizations.
At Kernel, we process 7B tokens a day and run 1.8M agents daily, all on an architecture that's intentionally simple: one database, one queue. It's minimalism built for massive scale (For reference, Wikipedia has 2.3B tokens in the English wikipedia). Our queue processes a daily volume on par with the entire Visa network's transactions (~365M/day). All of which has been built by a small but mighty team of engineers.
The Role
You are a T-shaped product engineer with a spike in backend engineering. You will work closely with the product and engineering team to build user-facing f...
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