Technical Product Owner AI Native Product Lead - Cotiviti

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

• 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 & 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 t