About Kernel
Kernel provides enterprise RevOps teams with AI-powered company data for their CRMs. We raised $14M in Series A funding from top VCs and operators at Plaid, OpenAI, and Slack to build an AI-native alternative to Dun & Bradstreet's entity and hierarchy data.
RevOps teams at Navan, Gong, Mistral, and AlphaSense use Kernel to run their organizations.
At Kernel, we process ≈30B tokens a day and run 1.8M+ agents daily, all on an architecture that's intentionally simple: one database, one queue. It's minimalism built for massive scale (For reference, Wikipedia has 2.3B tokens in the English wikipedia). Our queue processes a daily volume on par with the entire Visa network's transactions (~365M/day). All of which has been built by a small but mighty team of engineers.
The Role
You are a T-shaped product engineer with a spike in frontend engineering. You will work closely with the product and engineering team to build user-facing features, ship at pace, and support the existing infrastructure as we scale. You do not need to be a design expert, but strong UI/UX sensibilities and attention to detail are valuable.
You take initiative, adapt quickly, and communicate clearly. The team is small and fast-moving, so you'll be expected to make decisions and ship code autonomously. You will help the company grow from $3M to $30M ARR, owning projects end-to-end—from ideation to deployment—while helping shape how we build products and infrastructure at Kernel.
What You'll Be Doing
Designing and developing product features that directly impact user workflows
Collaborating with design, product, and other engineers to deliver exceptional user experiences
Writing and maintaining clean, reliable, and scalable code across the stack
Helping ensure performance and reliability for large-scale data operations
Automating workflows to improve developer velocity and reduce manual work
Supporting integrations with CRMs and third-party APIs
Participating in roadmap discussions and contributing technical insights
What You Bring
6+ years of software or product engineering experience
Strong experience building and scaling production systems
Expert with frontend engineering (NextJS, React, TypeScript)
You have a good eye for design and good at bringing complex interfaces to life
Strong understanding of LLM application development patterns (RAG, prompt engineering, consistency testing) - either through production experience or demonstrated personal projects. If you're new to LLMs but have shipped complex production systems in other domains and are comfortable rapidly learning new technologies, we'd still love to hear from you.
Ability to operate autonomously in a small, high-velocity team
Excellent communication and collaboration skills
Strong experience with modern frontend tooling or performance optimization
It is a plus if you also have:
Experience working on AI-driven or data-heavy products
Backend experience (NodeJS, Postgres, TypeScript)
Understanding of CRM data models or workflow automation
⚠️ This role may not be for you if you:
Need lots of structure or long-term roadmaps
Prefer perfect specs before building
Focus narrowly on backend or frontend only
❌ This role is definitely not for you if you:
Prefer fully remote work (this role requires at least 3 days a week in the office)
Don't enjoy the pace of early-stage startups
Want to manage a team rather than build
What We Offer
We will do our best to offer you a ride of a lifetime. It will not be easy, but it will be thrilling.
💰 Salary: £110,000 – £140,000 + equity
🗓️ 24 days holiday per year + bank holidays
✈️ 2 weeks work-from-anywhere
💼 Pension plan
💻 Top-spec equipment and central London office
🍽️ Free dinner at the office
🎉 Team events and dinners
🚀 Work directly with the founders to scale the systems that power enterprise AI
🛠️ Tech Stack
Back-end (AWS): NodeJS, TypeScript, Postgres
Front-end: NextJS, TypeScript, Tailwind
Workflow automation: n8n
❤️ Team
We are around 30 people with 7 engineers and 1 Product Manager, including:
Sam Houghton, Founding Engineer
Eleanor Leung, Senior Engineer
David Saltares, Senior Engineer
Stefan Sabev, Head of Product
Tom Ankers, Senior Engineer
Willis Chou, Senior Engineer
🎫 Visas & Relocation
We sponsor visas for exceptional candidates and provide relocation support for those moving to London.
Interview Process
Stage 1: Introductory Call (40 minutes)
Stage 2: Hiring Manager Call (40 minutes)
Stage 3: Take-Home Task (≤ 2 hours)
Stage 4: Technical Interview (90 minutes)
Final Stage: Founders Interview - a conversation with Anders (CEO) and Marcus (CTO) focused on values alignment and long-term vision.
Following Mutual Fit: Reference checks and offer stage.
kernel