Kernel AI

HQ
Los Angeles
Total Offices: 2
44 Total Employees
Year Founded: 2023

Kernel AI Benefits Overview

Compensation + Benefits

Offers company equity

Offers dental insurance

Offers vision insurance

Offers health insurance

Offers disability insurance

Offers life insurance

Offers generous parental leave

Work-Life Balance + Wellbeing

Offers company-sponsored outings

Offers an Employee Assistance Program (EAP)

Offers generous PTO

Provides paid sick days

Provides paid holidays

Company Culture

Offers a remote work program

Provides free snacks and drinks

Recently posted jobs

2 Days AgoSaved
In-Office
London, Greater London, England, GBR
Artificial Intelligence • Software
Drive complex enterprise sales cycles for high-value opportunities, managing multi-stakeholder relationships across global organizations. Build executive-level relationships, source additional pipeline, negotiate contracts, explain technical product value, and collaborate with product, engineering, and customer success. The role involves shaping sales processes, refining go-to-market strategy, and closing mid-six-figure to seven-figure deals while working primarily from the London office and traveling internationally.
16 Days AgoSaved
In-Office
London, Greater London, England, GBR
Artificial Intelligence • Software
Build Kernel’s product marketing function from the ground up by owning customer and partner positioning, technical content, product announcements, launches, sales enablement, case studies, customer references, events, and website initiatives. The role partners closely with sales, founders, and technical stakeholders, independently leading major projects such as launches and repositioning efforts in a fast-paced, in-person startup environment.
16 Days AgoSaved
In-Office
London, Greater London, England, GBR
Artificial Intelligence • Software
Build and maintain AI-powered tools and workflows that help Kernel scale. Responsibilities include automating technical customer support, converting user feedback into evaluation benchmarks, keeping documentation current, and creating sales demo tooling. The role requires hands-on building across AI agents, automation platforms, APIs, data pipelines, and lightweight code, with ownership from loosely defined business problem through production maintenance and improvement.