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Kernel AI

Implementation Lead

Reposted 4 Days Ago
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In-Office
London, Greater London, England
Senior level
In-Office
London, Greater London, England
Senior level
As a GTM Operations leader, you will drive the success of strategic customers by designing and implementing AI solutions, ensuring customer satisfaction through data analysis and ongoing support.
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About Kernel

Kernel gives enterprise RevOps teams confidence in their CRM data.

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 Gong, Navan, Zip, Remote and GoCardless use Kernel to clean, enrich and complete their CRM data at enterprise scale, eliminating duplicates, fixing hierarchies and restoring trust in the foundation that powers forecasting, territory planning and AI initiatives.

Our 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 Implementation Lead 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.

Top Skills

AI
Crm Ecosystems
CSS
HTML
Hubspot
JavaScript
N8N
Python
Rest Apis
Salesforce
SQL
HQ

Kernel AI London, England Office

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

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