GTM Engineer (Customer-facing)

Kernel provides enterprise RevOps teams with agentic company data for their CRMs.

We’ve raised a $14M Series A from top VCs and operators at Plaid, OpenAI, Slack and others to build the AI-native alternative to Dun & Bradstreet’s entity and hierarchy data.

RevOps teams at companies like Navan, Gong, Mistral, and AlphaSense use Kernel to build and maintain confidence in their CRM company data, eliminating duplicates and broken hierarchies without inhumane levels of manual review. The result is territories that can be defended, credibility with sales and leadership, and AI initiatives that actually work because the underlying company data is trustworthy.

Our data management platform combines entity-level intelligence with mass-action tooling to give RevOps teams the data quality and control needed to plan confidently and deploy AI successfully.

We’re hiring an GTM Engineer (Customer-facing) to own the end-to-end success of our most strategic customers. You will architect and implement bespoke AI solutions, acting as the primary technical and strategic advisor from late-stage sales cycles through long-term value delivery.

You’re analytical, commercially aware, and technically fluent — comfortable blending strategic design with hands-on implementation. If you love solving complex problems for enterprise customers, this role is for you.

• Partnering with Account Executives in late-stage cycles as the technical expert

• Architecting, building, and deploying bespoke AI agents using Kernel’s tooling

• Owning post-deployment success — optimizing performance and value delivery

• Acting as a trusted long-term advisor for your customer portfolio

• Developing reusable frameworks, tooling, and best practices for scale

• 5–10 years’ experience in a client-facing analytical or technical role (Solutions Engineering, Technical Account Management, Consulting, or Data Analytics)

• Strong technical fluency and understanding of data systems

• Analytical problem-solving skills with attention to detail

• Comfort with ambiguity and creative technical problem solving

• Strong communication and customer relationship skills

• Ability to work late occasionally for US-based customers

• Scripting (Python, JavaScript) or SQL experience

• Familiarity with CRMs (Salesforce, HubSpot) and workflow tools (n8n)

• Understanding of APIs and data integrations

• Previous startup experience

• Need a lot of structure or hand-holding

• Prefer routine over variety

• Want only internal, non-customer-facing work

• Prefer fully remote work (requires 4+ days a week in London office)

• Don’t enjoy intensity or ambiguity

• Want to manage instead of build and deliver

We will do our best to offer you a ride of a lifetime. It will not be easy, but it will be thrilling.

• 💰 Salary: £70,000 – £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

We generally require candidates to have the right to work in the UK. However, for exceptional candidates, we may offer visa sponsorship.

Stage 1 – Video call with hiring manager.

Stage 2 – Case study interview (in person).

Stage 3 – Values interview with Founders Anders and Marcus.

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