AI-Native Product Leader — Senior Technical Owner

Cotiviti; United States; Remote; USD 135,000 - 148,000; Full time

Job summary

Cotiviti is seeking a Senior Technical Product Owner – AI Native to define and prioritize AI-enabled products, translating business needs into clear requirements and backlogs. You will work with engineering, data science, and stakeholders to ensure fast, high-quality delivery while coaching other product practitioners.

The role emphasizes grounding context, validation, and strong communication across teams, with a focus on AI-driven development and scalable product definition.

Qualifications

• Bachelor's degree in computer science, information technology, or a relevant field preferred.
• 10+ years’ experience in product ownership, product management, or business analysis roles within Agile delivery environments.
• Experience with cloud-based AI platforms e.g. (AWS, Azure, GCP)
• Prior success in launching AI driven products or features
• Knowledge of data privacy, security and compliance in the context of AI
• Strong experience translating business problems into clear, testable products and technical requirements.
• Excellent written and verbal communication skills.
• Proven analytical and problem solving skills, with experience in systems modeling, workflow analysis, or solution design.
• Ability to learn complex domains quickly; healthcare experience preferred
• Experience with systems modeling, user interface design, and prototyping, decision trees, data flow
• A wide degree of creativity and latitude is expected

Responsibilities

• Author Feature Briefs and shape upcoming features in partnership with the Product Owner and Tech Lead.
• Co-author Story Specs with the Tech Lead and ensure stories are ready for fast, iterative delivery.
• Own one or more Product or Team Key Results and make day-to-day scope and sequencing decisions to minimize delivery friction and rework.
• Coach Technical Product Owners and establish AI-native product ownership standards, practices, and delivery frameworks across the organization.
• Lead resolution of complex product(s), delivery, and business risks that extend beyond a single team.
• Drive continuous improvement in product definition practices to improve product quality, predictability, outcome realization, and the effectiveness of AI-assisted engineering workflows.
• Conduct interviews and requirements workshops with business and technical stakeholders to elicit, clarify, and validate business needs.
• Translate business needs into clear, well-structured, testable requirements that account for architectural, regulatory, operational, and business constraints.
• Coordinate dependencies and requirement priorities across multiple teams and stakeholder groups to support solution clarity and delivery readiness.
• Maintain precise documentation that enables efficient, accurate implementation and minimizes downstream ambiguity.
• Establish and evolve standards for product intent, grounding context, and high-fidelity validation across AI-native delivery teams.
• Define clear product intent by articulating the problem being solved, desired outcomes, constraints, and acceptance boundaries.
• Provide grounding context for engineers and AI-assisted workflows, including domain assumptions, user behaviors, system invariants, and relevant business or technical constraints.
• Keep intent and context current as requirements evolve and serve as the primary source of truth for what success looks like at the epic, feature, and story level.
• Perform high-fidelity validation of epics before decomposition, ensuring they are precise, well-scoped, actionable, testable, grounded in product intent, aligned with architectural constraints, and free of unresolved assumptions or gaps that could create downstream rework.
• Clarify requirements during delivery, validate work against product intent, and accept increments as they emerge as AI-assisted workflows iterate rapidly (in-flight validation).
• Ensure delivered functionality is usable, extensible, and aligned with domain constraints, system boundaries, and quality expectations (outcome-level quality assessment) rather than ceremony milestones.
• Evaluate opportunities to accelerate discovery, validation, and delivery through AI-enabled product management practices and influence the outcome.
• Communicate progress, scope tradeoffs, risks, and delivery outcomes to stakeholders.
• Act as the primary product point of contact for one or more AI-Native teams, ensuring alignment between business intent and engineering execution.
• Detect gaps between intended and actual outcomes early and drive corrective action before scale or automation amplifies defects.
• Identify risks and drive resolution of issues impacting delivery or quality.
• Complete all responsibilities as outlined in the annual performance review and/or goal setting.
• Complete all special projects and other duties as assigned.
• Must be able to perform duties with or without reasonable accommodation.

Skills

Product ownership

Requirements gathering

Stakeholder communication

Agile delivery

System modeling

Problem solving

Planning and prioritization

Information synthesis

Adaptability

Team collaboration

Education

Bachelor's degree in CS/IT

Tools

AWS

Azure

GCP

Job description

Cotiviti is seeking a Senior Technical Product Owner – AI Native to define and prioritize AI-enabled products, translating business needs into clear requirements and backlogs. You will work with engineering, data science, and stakeholders to ensure fast, high-quality delivery while coaching other product practitioners.

The role emphasizes grounding context, validation, and strong communication across teams, with a focus on AI-driven development and scalable product definition.