Jobs at Kernel AI

Build and maintain AI-powered tools, automations, data workflows, and internal systems across GTM, Marketing, Customer Success, and Operations. The first six months focus on improving Salesforce, CRM hygiene, prospecting, account research, meeting preparation, and RevOps workflows. The role also deploys AI agents, establishes AI operating practices, improves data reliability, supports team adoption, and turns successful experiments into repeatable processes.

Lead and develop a high-performing engineering team while remaining hands-on with code and technical strategy. Own engineering delivery, architecture, hiring, team development, and collaboration with Product on roadmap priorities. The role requires scaling enterprise systems, solving distributed-systems challenges, operating in a high-growth startup, and shaping data and ML capabilities. The manager will work across the AWS, NodeJS, TypeScript, Postgres, ClickHouse, Kubernetes, and NextJS stack.

Own Kernel’s revenue operations infrastructure, including pipeline management, forecasting, funnel reporting, quota planning, compensation, renewals, and expansion systems. Improve GTM productivity through process automation, data quality, outbound targeting, routing, and integrated tooling. Administer Salesforce as the source of truth, build AI-assisted workflows, deploy Kernel internally, and provide product feedback. Partner across Sales, Marketing, Finance, Product, and Engineering in a fast-paced, primarily in-office environment.

Drive complex mid-market sales cycles from prospecting through close, managing six- to seven-figure opportunities and multi-stakeholder buying processes. Build executive relationships, source additional pipeline, explain and demonstrate the product, negotiate contracts, and collaborate with product, engineering, customer success, and growth teams. Contribute to go-to-market strategy, sales process development, and the product feedback loop while consistently achieving ambitious revenue targets.

Build and scale user-facing product features and backend systems across the stack. Design reliable workflows, support large-scale data operations, automate developer processes, integrate CRM and third-party APIs, and contribute to technical roadmaps. The role requires autonomous end-to-end ownership in a fast-moving startup, with backend emphasis and opportunities to work on LLM applications, infrastructure, and AI-driven data products.

Manage and develop a team of approximately 10 BDRs across inbound and outbound sales. Define ICP, targeting, messaging, qualification criteria, outbound plays, team goals, activity metrics, and pipeline processes. Coach performance, run reviews, collaborate with AEs, marketing, recruiters, and leadership, and build a scalable BDR talent pipeline. The role requires rapid experimentation, process development, and frequent client travel from a London office.

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.

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.

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.

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.