K

Product Marketing Lead

kernel • United Kingdom
Visa Sponsorship Relocation
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Build product marketing from the ground up at Kernel, a business identity layer for AI agents. Own positioning, technical storytelling, launches, and sales enablement for direct customers and partners. Requires high-growth startup experience, strong technical writing skills, and the ability to work autonomously with founders.

Key Highlights
Founding team member building product marketing from scratch
Direct collaboration with founders and sales team
High-growth startup (5x YoY) with $14M raised
Key Responsibilities
Own positioning and narrative for direct customers and partners
Write technical content and work with the team on product positioning and documentation
Plan and execute product announcements and launches
Equip the sales team with messaging, demos, and battlecards
Build social proof through case studies and customer references
Manage events, website updates, and other business-supporting activities
Technical Skills Required
Product Marketing Technical Writing Sales Enablement
Benefits & Perks
£90,000 – £120,000 base salary + 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
Visa sponsorship
Relocation support
Nice to Have
Experience with video content

Job Description

AI agents are starting to do sales, procurement and operations work. They need to know which company they are dealing with.Most company data is in CRMs, ERPs and third-party datasets. Records are duplicated, parent companies are missing, and addresses are outdated. This costs sales teams revenue and leaves operations and finance teams with avoidable risk and bad debt. Agents need a business identity layer they can trust.Kernel is building that layer: the business registry for agents. Every business gets a permanent KERN ID, along with the context an agent needs to act on it. Ops, data and revenue teams at already use Kernel in their own systems, and we expect agents to use it far more.
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