At a Glance
- Tasks: Design and develop impactful product features while collaborating with a dynamic team.
- Company: Join an innovative startup revolutionising enterprise data with AI technology.
- Benefits: Competitive salary, equity, flexible work options, and generous holiday allowance.
- Why this job: Be part of a fast-paced team shaping the future of AI-driven products.
- Qualifications: 6+ years in software engineering with strong frontend skills and a passion for design.
- Other info: Exciting growth opportunities and direct collaboration with founders in a vibrant London office.
The predicted salary is between 110000 - 170000 £ per year.
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 7B+ 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. 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 – £170,000 + 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.
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.
Product Engineer in London employer: Kernel
Contact Detail:
Kernel Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Product Engineer in London
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at meetups. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repo showcasing your projects, especially those related to frontend engineering. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by practising common technical questions and coding challenges. We recommend doing mock interviews with friends or using platforms that simulate real interview scenarios.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive!
We think you need these skills to ace Product Engineer in London
Some tips for your application 🫡
Show Your Passion: When you're writing your application, let your enthusiasm for the role shine through! We want to see that you’re genuinely excited about the opportunity to work with us at Kernel and contribute to our mission.
Tailor Your CV: Make sure to customise your CV to highlight relevant experience that aligns with the Product Engineer role. Focus on your frontend engineering skills and any projects that showcase your ability to build user-facing features.
Be Clear and Concise: Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon and make it easy for us to understand your skills and experiences. Remember, less is often more!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!
How to prepare for a job interview at Kernel
✨Know Your Tech Stack
Make sure you’re well-versed in the tech stack mentioned in the job description, especially NextJS, React, and TypeScript. Brush up on your frontend engineering skills and be ready to discuss how you've used these technologies in past projects.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in previous roles and how you tackled them. Kernel values initiative and autonomy, so highlight instances where you made decisions independently and delivered results.
✨Understand User Experience
Since the role involves building user-facing features, demonstrate your understanding of UI/UX principles. Be ready to share examples of how you’ve improved user workflows or created intuitive interfaces in your past work.
✨Be Ready for Technical Questions
Expect technical questions during the interviews, especially in the technical interview stage. Practice coding problems and be prepared to explain your thought process clearly. This will show your ability to communicate effectively within a small, fast-moving team.