Want to know if this job is worth applying to?
Greater London, England, United Kingdom
Onsite
About Kernel
Agents are becoming part of how companies sell, buy and operate. But before an agent can close a deal, qualify an account, route a lead or assess risk, it needs to answer a basic question: which company is this?
Today, that answer is messy. Business identity lives across CRMs, ERPs and third-party datasets full of duplicates, missing parent companies, stale addresses and half-correct enrichment. Humans have worked around that mess for years. Agents cannot. They need a shared identity layer they can trust.
Kernel is building that layer: the business registry for agents. We create a permanent KERN ID for every business, plus the context an agent needs to act on it.
Ops, data and revenue teams at Gong, Legora, Mistral, Canva and Checkout already use Kernel on their own systems. Agents are next, and there will be far more of them.
We have raised $14M from top VCs and operators at Plaid, OpenAI, Slack and others, and we are growing 5x YoY.
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: £80,000 – £120,000 OTE + 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
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.
