About the Job
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...
Humans have worked around that mess for years. Agents cannot. They need a reliable business identity layer they can trust.
Key Responsibilities
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.
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.
You’ll report to Arvin Ashrafi, Head of Finance & Operations, and partner closely with GTM, Marketing, and Customer Success leadership.
Define how an AI-native company operates: help build Kernel’s internal playbook for using AI across GTM, Marketing, Customer Success and Operations
Make our GTM team more productive: automate the repetitive work in prospecting, account research, meeting prep and CRM hygiene, so BDRs, AEs and Account Managers spend more time with customers
Build internal tools and workflows: use coding agents, APIs, automation platforms, no-code tools or lightweight code
Turn company data into operational leverage: connect and improve data across our systems, then put it to work in AI agents, proactive workflows and better decision-making
Put AI agents to work across Kernel: give teams agents with the right context, tools and guardrails so they can move faster without sacrificing judgement or reliability
Be Kernel’s own internal customer: deploy Kernel on Kernel’s CRM, improve our GTM data and turn what you learn into useful feedback for Product and Engineering
Level up the team: help colleagues become confident AI users, document what works and turn successful experiments into repeatable ways of working
For your first six months, you’ll focus on our sales team. You’ll sit with our BDRs, AEs and Account Managers and learn how they work day to day. Then you’ll automate everything that doesn’t need a human. That means going deep on Salesforce and our GTM stack, and owning the RevOps workflows behind them. After that, you’ll bring the same approach to Marketing, Customer Success and Operations.
Required Skills & Abilities
A track record of shipping: you’ve built tools, automations or AI workflows that people use every day, ideally inside a small, fast-moving startup. Around 2–5 years of experience is typical, but what you’ve built matters more than your years. Ex-founders welcome
Experience inside a high-growth startup, or building your own, is highly desirable
Curious about sales: you’re keen to learn how our BDRs and AEs work, and how Salesforce is set up, before you build for them
AI-tool obsessed: you are constantly testing new models, agents, MCPs and workflows, and you have the judgement to turn them into reliable systems that people actually adopt
Strong data instincts: you can turn fragmented, messy information into reliable workflows and create feedback loops that keep it trustworthy
Can’t unsee inefficiency: you see the company as a connected system; when you find a broken or unnecessarily manual process, your instinct is to understand it, build the fix and make sure it sticks
Prefer deep specialization over breadth: this role means switching between projects and teams, depending on business needs
Prefer steady-state work over project-based sprints: priorities will shift as the business evolves
Only want “strategic” work: you will personally build the tools, clean the data and fix the workflows
Need every task to be clearly scoped before starting: ambiguity and learning on the fly are constant
Avoid operational grunt work or lose interest after the prototype
Want to protect a 9-to-6 or a mostly remote setup: we are in the office together 4–5 days a week and the pace is high
Qualifications
Experience:
5 years experience
