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AI Ops Engineer (Business Operations)

Kernel· Operations
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London£60k - £85kFull-timePosted today

About the role

AI Ops Engineer to build internal AI-powered workflows across GTM, Marketing, Customer Success and Operations. Hands-on role focusing on automations, data integration and tooling to scale Kernel’s internal operations.

Responsibilities

  • 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

Qualifications

  • 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
  • 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 test models, agents, MCPs and workflows, with the judgement to turn them into reliable systems
  • Strong data instincts: you can turn fragmented information into reliable workflows and feedback loops
  • Can’t unsee inefficiency: you see the company as a connected system and fix it

Skills

Required:Automation toolingAI workflowsData integration
Nice to have:Sales/ GTM familiarity

Benefits

  • Salary: £60,000–£85,000 + equity
  • 24 days holiday per year + bank holidays
  • £450 monthly office dinner allowance
  • 2 weeks work-from-anywhere
  • Generous parental leave policy
  • Pension plan
  • Top-spec equipment and central London office
  • Team events and dinners
  • Work directly with the founders to deploy AI across a fast-growing company
  • High-autonomy, high-trust environment with a small team shipping at pace
Last updated Oct 26, 2026. Interested? Apply on the company site.

About Kernel

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