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Kernel AI

Solutions Engineer

Posted 24 Days Ago
Be an Early Applicant
In-Office
London, Greater London, England, GBR
Mid level
In-Office
London, Greater London, England, GBR
Mid level
As a Solutions Engineer, you'll bridge customer needs and technical execution, delivering solutions and managing the implementation cycle, while collaborating with teams and clients.
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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AI only works when the underlying data is accurate - but most CRMs are filled with duplicates, broken hierarchies, and outdated information that undermine forecasting, territory planning, and AI deployments.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, Navan, Mistral, AlphaSense, 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.

The Role

As a 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, Technical Account Management or Consulting

  • Strong technical fluency (APIs, Javascript etc) and understanding of data systems

  • 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

  • ✈️ 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

Interview Process

Stage 1 – Video call with De-Vene as Talent Lead.

Stage 2 – Video call with Valeria as Hiring Manager.

Stage 3 – Case study interview (in person) with Valeria & team.

Stage 4 – Values interview with Founders, Anders and Marcus.

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

Top Skills

APIs
JavaScript
HQ

Kernel AI London, England Office

128 City Road, London, United Kingdom, EC1V 2NX

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