Your focus area will be whatever is the most critical blocker for Kernel’s growth, whether that’s automating our customer support, tying our data feedback loop to automatically seed our evals (benchmarks), building tooling for our sales team to demonstrate Kernel, and so on.

You’ll report to Marcus Henglein, our co-founder who leads our Product, Engineering, and Client Delivery teams.

What You’ll Be Doing

• Automating customer support: The first focus area is to lead our initiative on automating as much of our technical customer support as possible, leveraging Kernel’s docs and MCPs, the right kind of AI tooling, and working closely with the engineering team.
• Turning user feedback into evals: Build workflows that turn data issues reported by users into test cases, helping Kernel catch recurring errors and measure improvements.
• Keeping docs current: Build workflows that detect product changes and keep our documentation accurate.
• Making Kernel easier to demo: Build tools that help our sales team prepare and run demos using relevant account data.

Priorities shift, problems often start loosely scoped, and you’ll own the work through maintenance.

What You Bring

• 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.
• Curious about product: You’re keen to learn how a product/engineering organization works in a fast-paced startup environment.
• 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 - but without turning off the “Local LLM” that you were born with (your brain).
• 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.

Artisanal programming experience is not required for this role, and you don’t need a traditional software engineering background.

⚠️ This role may not be for you if you:

• 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 work in a more structured 9-to-6 environment or in a remote/hybrid setup: We are in the office together 4–5 days a week, and the pace is high.

What We Offer

• 💰 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

Interview Process

• Stage 1 – Video call with the Hiring Manager.
• Stage 2 – Case study interview (in person) with the team.
• Stage 3 – Values interview with the Founders.

If there is mutual fit, we move to references and offer.