GTM Engineer (Customer-facing)

Methodfi; Greater London; On-site; GBP 70,000 - 100,000; Full time

Job summary

A technology company in Greater London is seeking a GTM Engineer (Customer-facing) to manage the success of strategic customers. You will design and implement AI solutions and act as a trusted advisor. Ideal candidates should have 5-10 years in client-facing roles with strong analytical and technical skills. This position offers a competitive salary of £70,000 to £100,000 plus equity and requires presence in the London office for 4+ days/week, along with various employee benefits.

Benefits

£70,000 – £100,000 + equity

24 days holiday per year + bank holidays

2 weeks work-from-anywhere

Pension plan

Top-spec equipment

Free dinner at the office

Team events and dinners

Direct work with founders

Qualifications

• 5–10 years’ experience in a client-facing analytical or technical role.
• Strong technical fluency and understanding of data systems.
• Ability to work late occasionally for US-based customers.

Responsibilities

• Partner with Account Executives in late-stage cycles as the technical expert.
• Architect and deploy bespoke AI agents using Kernel’s tooling.
• Own post-deployment success and optimize performance.

Skills

Client-facing analytical skills

Technical fluency

Analytical problem-solving

Strong communication skills

Tools

Python

JavaScript

SQL

CRMs

Job description

About Kernel

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.

The Role

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.

What You’ll Be Doing

• 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

What You Bring

• 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

Nice to have:

• Scripting (Python, JavaScript) or SQL experience
• Familiarity with CRMs (Salesforce, HubSpot) and workflow tools (n8n)
• Understanding of APIs and data integrations
• Previous startup experience

⚠️ This role may not be for you if you:

• Need a lot of structure or hand‑holding
• Prefer routine over variety
• Want only internal, non‑customer‑facing work

❌ This role is definitely not for you if you:

• 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

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: £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

🎫 Visas & Relocation

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

Interview Process

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.