Jobs at Kernel AI

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.

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.

Own a Kernel product area end-to-end, leading discovery, implementation, roadmap development, and product vision. Partner closely with founders, engineers, and customers to build complex business identity products. Use data, metrics, agent evaluations, APIs, data pipelines, SQL, and AI tools to drive quality and make rapid decisions in an ambiguous, high-intensity startup environment.

The Implementation Lead partners with sales, product, and engineering teams to translate customer requirements into technical solutions. Responsibilities include managing proof-of-concepts, leading implementations from kickoff through go-live, architecting and deploying AI agents, troubleshooting challenges, advising multiple clients, and providing product feedback. The role requires strong technical fluency, analytical problem-solving, project management, customer communication, and comfort working in a fast-paced startup environment.

Senior Solutions Engineer responsible for partnering with Account Executives on enterprise deals, delivering proofs of concept, leading implementations from kickoff to go-live, and building bespoke AI agents. The role requires client-facing technical expertise, API and JavaScript fluency, data systems knowledge, strong analytical skills, and the ability to manage multiple customers and projects. The position is based in London with at least four office days weekly and occasional later hours for US customers.

Own end-to-end recruiting for Sales, Customer Success, Marketing, and Revenue Operations. Source active and passive GTM candidates, develop hiring strategies, assess candidates, coordinate interviews, close offers, and improve candidate experience. Build scalable recruiting systems, including scorecards, interviewer training, funnel analytics, and hiring playbooks. Work directly with founders and commercial leaders in an intense, early-stage startup environment.

Generates qualified sales pipeline through account research, cold calling, LinkedIn, email, and multichannel prospecting. Identifies target companies and decision-makers, qualifies prospects, books meetings for account executives, maintains detailed account notes, and collaborates with Marketing to refine messaging and ideal customer profiles. The role requires a proactive, competitive, target-driven approach and involves working primarily from the London office in a commission-based outbound sales environment.

Own a $2M+ ARR book of mid-market and enterprise accounts, driving expansion, renewals, and 130%+ net revenue retention. Manage complex, multi-stakeholder sales cycles involving technical RevOps and data buyers, negotiate contracts, and close six-figure deals. Build account management processes, identify growth opportunities, conduct strategic account reviews, and partner with Product, Engineering, Solutions, and GTM leadership. The role requires consultative selling, technical fluency, and frequent in-office work in London with flexible evening hours.

Own Kernel’s end-to-end product design, including UX flows, information architecture, interaction design, visual craft, discovery, prototyping, and production collaboration. Simplify complex workflows, conduct user research, translate insights into shipped improvements, and establish lightweight design principles and patterns. The role partners closely with engineering and product, moves quickly in an early-stage startup, and occasionally supports business narratives and decks.

Generate qualified sales pipeline by researching target accounts, identifying decision-makers, and executing phone-, LinkedIn-, and email-based outbound cadences. Qualify prospects, book meetings for account executives, maintain detailed account lists and call notes, and collaborate with Marketing to refine messaging and ideal customer profiles. Continuously improve prospecting performance, share market feedback, and explore creative methods such as events and new outbound approaches.