Teams at Kernel AI

Own a Kernel product area end-to-end, leading discovery, implementation, metrics, customer feedback, engineering collaboration, roadmap development, and product vision. The role requires technical product management expertise across APIs, data pipelines, SQL, and AI agent evaluations, plus strong ownership and comfort working in an ambiguous, fast-paced early-stage startup environment.

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.