K

Foundational Talent Acquisition Lead (Technical & GTM Focus)

kernel • United Kingdom
Visa Sponsorship
This Job is No Longer Active This position is no longer accepting applications

Kernel is seeking a foundational Talent Acquisition Lead to scale its team from 30 to 60+ employees, with a strong emphasis on technical talent. This role involves full-cycle recruiting, building data-driven hiring processes, and acting as the face of the company's employer brand. This is a hands-on, sole ownership role with a clear path to broader People Operations responsibilities as the company grows. Ideal candidates are technically fluent, masters of sourcing, and possess an operational mindset, eager to build a world-class talent function from scratch in a fast-paced startup environment.

Key Highlights
Own end-to-end recruitment lifecycle for all roles, with a focus on technical and GTM profiles.
Build and refine a data-driven hiring machine, including scorecards, interview training, and pipeline velocity.
Act as the employer brand ambassador, articulating Kernel's culture and ambition to attract top talent.
Opportunity to expand scope into broader People Operations (onboarding, culture, performance, retention).
Requires 4+ days a week in the central London office.
Technical Skills Required
LinkedIn Recruiter Ashby Metaview Juicebox
Benefits & Perks
Salary: £60,000 – £90,000
Equity
24 days holiday + bank holidays
2 weeks work-from-anywhere
Pension plan
Top-spec equipment
Central London office
Free dinner at the office
Team events and dinners
Work directly with founders
Visa sponsorship for exceptional candidates
Relocation assistance

Job Description

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.

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