Job Information
COTIVITI, INC. Technical Product Owner (AINative Product Lead) in SOUTH JORDAN, Utah
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.
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