Implementation Lead

Kernel; Greater London; On-site; GBP 60,000 - 100,000; Full time

Benefits offered by this job

Salary range

Holiday entitlement

Dinner allowance

Work-from-anywhere

Parental leave

Pension plan

Top-spec equipment

Team events

Founders access

Autonomy & trust

Job summary

Kernel is seeking an Implementation Lead in London to bridge customer needs and technical delivery for enterprise deals. You will translate complex requirements into practical, scalable solutions and ensure POCs are accurate and on time.

You’ll work with Account Executives, Product, and Engineering to address questions, troubleshoot challenges, and shape value-driven implementations for multiple clients. Flexibility for occasional late hours aligns with US-based customers.

Qualifications

• 3–7 years in a client-facing analytical or technical role.
• Strong API and JavaScript familiarity with data systems.
• Product-minded with a customer-focused approach.
• Excellent problem solving and attention to detail.
• Able to navigate ambiguity and solve technical challenges.
• Experience in fast-paced startup environments.
• Able to manage multiple clients and projects simultaneously.
• Excellent communication and relationship-building with customers.
• Willing to work some late hours for US-based customers.

Responsibilities

• 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

Skills

Client-facing

Analytical thinking

Technical fluency

Data systems understanding

Product sense

Startup experience

Multi-client management

Tools

CRM tooling

Kernel tooling

Job description

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AI only works when the underlying data is accurate - but most CRMs are filled with duplicates, broken hierarchies, and outdated information that undermine forecasting, territory planning, and AI deployments.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, Legora, Mistral, Canva 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.

Your Role

As an Implementation Lead, 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: £60,000 – £100,000 + 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

Interview Process

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.