Job Description
Overview The AI-Native Product Lead is a team-embedded product role responsible for translating business needs into clear, testable, and technically actionable requirements and owning the product backlog for a single AI-Native team. This role serves as the product owner for the team, working closely with the AI-Native Tech Lead and engineers to ensure the team is focused on building valuable, usable, and high-quality software. This role focuses on solution definition through requirements gathering, feature and user-story creation, backlog prioritization, and story acceptance, while operating within a small, focused team and enabling delivery through AI-assisted engineering workflows. A key responsibility of the AI-Native Product Lead is to provide product intent and grounding context that guide both human and AI-assisted development. This includes clearly articulating problem statements, constraints, desired outcomes, and acceptance boundaries so that implementation decisions remain aligned as delivery accelerates. The AI-Native Product Lead also performs high-fidelity epic validation, ensuring epics are sufficiently precise, well-scoped, and grounded before decomposition into features and stories. This validation reduces ambiguity, prevents downstream rework, and enables effective use of AI-assisted development. The AI-Native Product Lead ensures the team builds the right capabilities, with the right scope, at the right time, while maximizing delivery speed and quality. The AI-Native Product Lead does not need to be an AI or ML specialist but must understand how AI-enabled development changes delivery speed, iteration cycles, and product discovery. Responsibilities Principal Responsibilities and Essential Duties: Product Ownership Own the single-team product backlog. Ensure continuous backlog readiness to support fast, iterative delivery. Make day-to-day scope and sequencing decisions to minimize delivery friction and rework. Requirements & Solution Definition Cond
