Teams at Productboard

Own the end-to-end self-serve growth journey for an AI-agent product: design onboarding, activation, monetization, run rapid experiments, use product analytics and user research to shape the backlog, and ship small changes yourself using AI tooling.

Lead architecture and engineering for AI-native systems: design agent-operable code boundaries, build context layers and incident agents, drive cross-team product strategy, enforce architectural standards, operationalize AI-first workflows, hire and coach engineering leaders, and scale teams while balancing long-term health and short-term delivery.

Lead an engineering team to design AI-native architectures (agent-native contracts, context layers, incident agents, AI-driven code review) and own product surface end-to-end. Drive high-impact technical initiatives, collaborate cross-functionally with PM/design, run on-call/runbooks, hire and mentor engineers, and embed AI-first workflows across planning, coding, review, debugging, and operations.