Technical Product Owner (AINative Product Lead)

Technical Product Owner (AINative Product Lead) Job Locations US-Remote ID 2026-18632 Category Engineering/IT Position Type Full-Time 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 and Solution Definition * Conduct interviews and requirements workshops with business and technical stakeholders to elicit and clarify business needs. * Translate business needs into well-structured, testable requirements. * Maintain clear, precise documentation that enables efficient and accurate implementation. Product Intent and Grounding Context * Provide clear product intent by articulating the problem being solved, desired outcomes, and constraints. * Supply grounding context for both engineers and AI-assisted development workflows, including domain assumptions, user behaviors, system invariants, and acceptance boundaries. * Ensure intent and context remain current as requirements evolve, preventing misalignment. * Act as the primary source of truth for what success looks like at the epic, feature, and story level. High-Fidelity Validation * Perform high-fidelity validation of epics before decomposition into features. * Ensure epics are sufficiently precise, well-scoped, and grounded to support AI-assisted implementation. * Identify and resolve ambiguity, hidden assumptions, and incomplete intent early to reduce downstream rework. * Validate that epics are actionable, testable, and aligned with architectural constraints prior to execution. * Serve as a quality gate ensuring epics are ready for accelerated delivery within an AI-Native dev model. Continuous Delivery Validation and Outco me Alignment * Continuously validate work against product intent, grounding context, and expected outcomes as implementation progresses. * Provide in-flight clarification and refinement of... For full info follow application link. Equal Opportunity Employer/Protected Veteran /Individuals with Disabilities