At a Glance
- Tasks: Bridge customer needs and technical execution, delivering impactful solutions.
- Company: Join a fast-growing AI startup backed by top VCs.
- Benefits: Competitive salary, equity, generous holiday, and work-from-anywhere options.
- Other info: Dynamic, high-autonomy environment with opportunities for rapid growth.
- Why this job: Shape the future of enterprise AI while working closely with founders.
- Qualifications: 3-7 years in client-facing roles with strong technical skills.
The predicted salary is between 60000 - 100000 £ per year.
About Kernel
Enterprise AI only works when the underlying data is accurate - but most CRMs are filled with duplicates, broken hierarchies, and outdated information that undermine forecasting, territory planning, and AI deployments. We've raised a $14M Series A from top VCs and operators at Plaid, OpenAI, Slack and others to solve this with Agentic Company Data - the AI-native alternative to Dun & Bradstreet. RevOps teams at Gong, Legora, Mistral, Canva and Zip use Kernel to eliminate duplicates, fix hierarchies, and deliver the accuracy they need to operate with confidence. What a RevOps expert can do manually for a single record, Kernel can do safely at scale for an entire CRM. Our platform gives teams confidence in the data foundation that powers enterprise decision-making and AI.
Your Role
As a Senior Solutions Engineer, you're the bridge between customer needs and technical execution in enterprise deals. You translate complex requirements into practical, high-impact solutions, ensuring every proof of concept is accurate, scalable and positioned for success. Working closely with Account Executives, Product and Engineering, you'll navigate technical questions, troubleshoot complex challenges and shape solutions that drive value for our clients. With new features shipping constantly at Kernel, you'll stay ahead of client requirements and the latest market innovation.
What You’ll Be Doing:
- Partnering with Account Executives in late-stage cycles as the technical expert
- Running and delivering high quality POCs in a timely manner
- Leading and owning the full implementation cycle from kick-off to go-live
- Architecting, building, and deploying bespoke AI agents using Kernel’s tooling
- Acting as a trusted advisor for your portfolio comprised of multiple clients
- Provide feedback to the Product team to ensure constant improvement and iteration
What You Bring:
- 3–7 years of experience in a client-facing analytical or technical role, such as Solutions Engineering, Implementations, Technical Account Management or Consulting
- Technical fluency (APIs, Javascript etc) and understanding of data systems
- A product sensibility to how you work - you ask why before you ask when, and you push back on scope that doesn't serve the customer
- Advanced analytical and problem-solving skills, with close attention to detail
- Comfortable navigating ambiguity and solving technical challenges creatively
- Experience working in fast-paced, startup environments
- Ability to manage multiple clients and projects at once
- Strong communication skills and the ability to build trusted customer relationships
- Flexibility to occasionally work later hours to support US-based customers
Nice to have, but not required:
- Experience working with AI products or use cases
- Familiarity with RevOps workflows and systems, including CRMs and related tooling
This role may not be for you if you:
- Prefer a lot of structure or close guidance
- Prefer routine over variety
- Are looking for a purely internal, non-customer-facing role
This role is definitely not for you if you:
- Prefer fully remote work (this role requires 4+ days per week in the London office)
- Don’t enjoy intense, fast paced workspace or ambiguity
- Want to manage rather than build and deliver
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: £60,000 – £100,000 + 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 scale the systems that power enterprise AI
- High-autonomy, high-trust environment with a small team shipping at pace
Interview Process
- Stage 1 – Video call with the Talent Lead.
- Stage 2 – Video call with the Hiring Manager.
- Stage 3 – Case study interview (in person) with the team.
- Stage 4 – Values interview with the Founders.
If there is mutual fit, we move to references and offer.
Senior Solutions Engineer employer: Kernel
Kernel is an exceptional employer that thrives on innovation and collaboration, offering a dynamic work environment in the heart of London. As a Senior Solutions Engineer, you'll enjoy a high-autonomy culture with opportunities for direct interaction with founders, competitive salary packages, and generous benefits including a monthly dinner allowance and flexible work-from-anywhere options. Join us to be part of a fast-paced startup that values your expertise and fosters your professional growth while tackling exciting challenges in the AI space.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Solutions Engineer
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Kernel or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Kernel.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Kernel.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Kernel that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Senior Solutions Engineer
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Kernel.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Kernel and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Kernel
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Kernel uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
