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AI Ops Engineer (Business Operations)
<h2>About Kernel</h2><p style="min-height:1.5em">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?</p><p style="min-height:1.5em"></p><p style="min-height:1.5em">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.</p><p style="min-height:1.5em"></p><p style="min-height:1.5em">Humans have worked around that mess for years. Agents cannot. They need a reliable business identity layer they can trust.</p><p style="min-height:1.5em"></p><p style="min-height:1.5em">Kernel is building that layer: the business registry for agents. We issue a permanent Kernel ID for every business, plus the context an agent needs to act on it. Ops, data and revenue teams at <strong>Gong, Legora, Mistral, Canva and Notion</strong> already use Kernel on their own systems. Agents are next, and there will be far more of them.</p><p style="min-height:1.5em"></p><p style="min-height:1.5em">We have raised $20M from top VCs and operators at Plaid, OpenAI, Slack and others, and we are growing 10x YoY.</p><p style="min-height:1.5em"></p><h2>The Role</h2><p style="min-height:1.5em">We’re looking for an AI Ops Engineer to build the internal systems that help Kernel scale without adding unnecessary manual work. You’ll work across GTM, Marketing, Customer Success and Operations - finding the highest-leverage problems and building practical AI-powered workflows.</p><p style="min-height:1.5em"></p><p style="min-height:1.5em">This is a hands-on builder role. You’ll take ideas from a vague business problem to a tool or workflow that people use, then maintain and improve it in production. You’ll choose the fastest sensible approach for each problem - coding agents, automation platforms, APIs, data pipelines or lightweight code.</p><p style="min-height:1.5em"></p><p style="min-height:1.5em">You’ll report to <strong>Arvin Ashrafi, Head of Finance & Operations</strong>, and partner closely with GTM, Marketing, and Customer Success leadership.</p><p style="min-height:1.5em"></p><h2>What You’ll Be Doing</h2><ul style="min-height:1.5em"><li><p style="min-height:1.5em"><strong>Define how an AI-native company operates:</strong> help build Kernel’s internal playbook for using AI across GTM, Marketing, Customer Success and Operations</p></li><li><p style="min-height:1.5em"><strong>Make our GTM team more productive:</strong> automate the repetitive work in prospecting, account research, meeting prep and CRM hygiene, so BDRs, AEs and Account Managers spend more time with customers</p></li><li><p style="min-height:1.5em"><strong>Build internal tools and workflows:</strong> use coding agents, APIs, automation platforms, no-code tools or lightweight code</p></li><li><p style="min-height:1.5em"><strong>Turn company data into operational leverage:</stron