Teams at Kernel AI

Build and own Kernel’s go-to-market infrastructure, including outbound systems, Salesforce workflows, automation, account routing, attribution, forecasting, quota planning, incentive compensation, renewals, and expansion processes. Improve GTM productivity through AI-native workflows, reliable data, and cross-functional handoffs. The role requires hands-on system building, debugging, commercial judgment, and close collaboration with Sales, Product, Engineering, and Operations.

Lead and develop a high-performing engineering team while remaining hands-on. Set technical direction, make architecture decisions, own delivery and velocity, collaborate with Product on priorities, and solve complex distributed-systems and data-focused engineering challenges. The role involves hiring, mentoring, scaling engineering practices, and contributing code in an early-stage, high-growth startup environment.

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.