Agents are starting to sell, buy and operate on behalf of companies. But before an agent can close a deal, qualify an account, route a lead or assess risk, it has to answer a basic question: which company is this?
Today, that answer is messy, and no one answers it reliably. Business identity lives across CRMs, ERPs and third-party datasets full of duplicates, missing parent companies, stale addresses and incorrect enrichment. The cost shows up across the enterprise: sales teams miss revenue opportunities because they lack the right account context; operations teams take on avoidable exposure because risk signals are fragmented or wrong; and finance teams end up chasing, writing off, or defaulting on bad debt that should have been caught earlier.
Humans have worked around that mess for years. Agents cannot. They need a reliable business identity layer they can trust.
Kernel is building that layer: the business registry for agents. We issue a permanent KERN ID for every business, plus the context an agent needs to act on it. Ops, data and revenue teams at Gong, Legora, Mistral, Canva and Checkout already use Kernel on their own systems. Agents are next, and there will be far more of them.
We have raised $20M from top VCs and operators at Plaid, OpenAI, Slack and others, and we are growing 5x YoY.
You'll be a player-coach engineering leader with a spike in technical strategy, you'll own engineering delivery for your team end-to-end - from developing exceptional engineers to solving some of our most difficult engineering problems & setting technical direction.
This is a hands-on leadership role. You'll spend roughly 20% of your time contributing code and 80% leading your team, with that ratio shifting as we scale.
We are in the unique situation that our commercial traction is ahead of our product. You’ll play a leading role in moving towards automation in a way that enables us to rapidly scale with increased complexity and specific customer nuances.
You don't need to know everything, but you should be comfortable diving into any part of the stack.
We will do our best to offer you a ride of a lifetime. It will not be easy, but it will be thrilling.
We sponsor visas for exceptional candidates and provide relocation support for those moving to London.
Stage 1: Introductory Call (45 minutes)
An introductory conversation covering your professional background and what you’re looking for in your next role.
Stage 2: Hiring Manager Call (30 minutes)
A conversation with Marcus focused on ways of working and team collaboration.
Stage 3: Technical Deep Dive (60 minutes)
An in-depth discussion exploring your architectural thinking and past technical decisions.
Stage 4: Leadership Scenario Interview (60 minutes)
An onsite interview at our London office, where we’ll walk through real challenges you’d likely face in the role.
A conversation with our co-founders, Anders and Marcus, focused on values alignment and long-term vision.
Upon mutual fit: references and offer stage.
Most CRMs are full of duplicates, messy hierarchies, and inaccurate firmographics, leaving RevOps teams fighting data hygiene issues instead of driving revenue.
Kernel tackles data inaccuracy at the source with an agentic entity database. It links accounts to real-world organizations, and its agents crawl and reason over CRM context and public sources to provide accurate data tailored to how your company sells.
Kernel’s data management platform performs expert-level data corrections safely at scale, applying the same decisions a RevOps professional would make for each account across your entire CRM.
Unlike traditional data providers, Kernel continuously maintains and updates data so it aligns with your go-to-market strategy, giving your team an accurate foundation to plan territories, identify whitespace, and increase rep productivity.
Teams at Gong, Navan, and Mistral AI trust Kernel to fix their foundational account data.
