Teams 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.