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Job description
BASIC FUNCTION
The AI / Agentic Product Owner is responsible for post-release ownership and continuous optimization of agentic AI products. This role ensures that deployed AI solutions deliver ongoing business value through effective backlog management, prioritization, and cross-functional coordination.
The AI / Agentic Product Owner is responsible for post-release ownership and continuous optimization of agentic AI products. This role ensures that deployed AI solutions deliver ongoing business value through effective backlog management, prioritization, and cross-functional coordination.
The Agentic Product Owner serves as the primary decision-maker for live AI products, translating feedback, performance signals, and business needs into prioritized work. This role partners closely with AI Enablement, AI Trainers, engineering, and business stakeholders to continuously refine agent behavior, improve outcomes, and scale AI capabilities.
This role also requires a foundational understanding of generative AI concepts (e.g., LLMs, RAG, prompt behavior) to effectively manage AI-driven backlogs and product decisions.
Essential Duties And Responsibilities
Own Post-Release Product Lifecycle
Own and manage the post-release product backlog for agentic AI solutions
Continuously evaluate product performance and identify improvement opportunities
Ensure AI products evolve in alignment with business objectives and user needs
Drive ongoing optimization of AI capabilities after launch
Backlog Management and Prioritization
Intake and triage feedback, bugs, and enhancement requests from stakeholders
Define, prioritize, and maintain a clear, actionable backlog
Balance competing priorities across defect resolution, AI performance improvements, and new features
Lead release planning and prioritization decisions for live AI products
Translate post-release feedback, usage patterns, defect trends, and business needs into prioritized backlog items
Make backlog trade-off decisions across multiple live agentic AI products, balancing urgency, business value, user impact, and delivery capacity
Cross-Functional Coordination
Act as the central point of coordination across business stakeholders, engineering and QA teams, AI Enablement, and AI Trainers
Translate post-release feedback, business needs, and operational improvement opportunities into clear product requirements, user stories, and acceptance criteria
Ensure alignment on priorities, timelines, and expected outcomes
Coordinate with business SMEs, content owners, AI Enablement, AI Trainers, engineering, and QA to ensure backlog items are well understood and actionable
Facilitate prioritization discussions where feedback, defects, content gaps, AI behavior concerns, and enhancement requests compete for delivery capacity
AI Performance and Feedback Integration
Collaborate with AI Trainers and AI Enablement to incorporate AI behavior analysis and performance insights into backlog decisions
Incorporate feedback into backlog prioritization
Ensure improvements are driven by user feedback, usage patterns, and quality issues
Leverage AI Trainer and AI Enablement expertise for analysis of agent behavior, prompt sensitivity, grounding issues, response quality, and improvement opportunities
Ensure AI-related issues are appropriately categorized, such as product defect, content gap, prompt/behavior issue, user experience gap, or training/adoption need
Product Decision Ownership
Serve as the primary decision-maker for product direction, prioritization, and trade-offs
Ensure clear ownership of product outcomes post-launch
Own decisions regarding what gets fixed, enhanced, deferred, or escalated for live AI products
Partner with business sponsors and stakeholders to ensure post-release product decisions remain aligned to business value, user impact, and roadmap priorities
Support Scalable Operating Model
Enable a distributed ownership model with clear backlog accountability per AI product
Contribute to scalable practices for managing multiple concurrent AI products
Effectively manage a portfolio of multiple live agentic AI products (typically 2–4 concurrently), balancing priorities across them
Help mature repeatable practices for intake, triage, prioritization, release planning, product health reviews, and transition to steady-state support
Job Qualifications
Education
Bachelor’s Degree or equivalent experience
Preferred
Business, Technology, or related field
MBA or advanced degree
Experience
7+ years in Product Ownership, Business Analysis, or related roles
Experience working in Agile environments
Experience coordinating across business, technology, QA, and operational stakeholders
Preferred Experience
Experience working with AI/ML-enabled products or intelligent automation
Familiarity with AI behavior evaluation, prompt iteration, or model output analysis
Foundational understanding of generative AI concepts such as LLMs, retrieval-augmented generation (RAG), and prompt-driven workflows
Experience in platform, SaaS, or enterprise product environments
Experience translating user feedback, performance data, or support trends into actionable product improvements
Key Skills
Strong prioritization and decision-making capability
Ability to manage ambiguity in AI-driven systems
Excellent communication and stakeholder influence
Analytical thinking and problem solving
Collaboration across business and technical teams
Foundational understanding of how generative AI systems behave, including variability, hallucination risk, and prompt sensitivity
Strong judgment in balancing user feedback, business value, AI quality concerns, and technical feasibility
Ability to distinguish between product issues, content gaps, AI behavior issues, defects, and user adoption needs
Ability to influence stakeholders and drive alignment without direct authority
Comfort operating in a developing AI product model where standards, ownership, and practices continue to mature
Our Interview Practices
To maintain a fair and genuine hiring process, we kindly ask that all candidates participate in interviews without the assistance of AI tools or external prompts. Our interview process is designed to assess your individual skills, experiences, and communication style. We value authenticity and want to ensure we’re getting to know you—not a digital assistant. To help maintain this integrity, we ask to remove virtual backgrounds and include in-person interviews in our hiring process. Please note that use of AI-generated responses or third-party support during interviews will be grounds for disqualification from the recruitment process.
Applicants may be required to appear onsite at a Wolters Kluwer office as part of the recruitment process.
Compensation
$85,600.00 - $149,400.00 USD
This role is eligible for Bonus.
Compensation range listed is based on primary location of the position. Actual base salary offer is influenced by a wide array of factors including but not limited to skills, experience and actual hiring location. Your recruiter can share more information about the specific offer for the job location during the hiring process.
Additional Information
Wolters Kluwer offers a wide variety of competitive benefits and programs to help meet your needs and balance your work and personal life, including but not limited to:
Medical
Dental
Vision Plans
401(k)
FSA/HSA
Commuter Benefits
Tuition Assistance Plan
Vacation and Sick Time
Paid Parental Leave
Full details of our benefits are available upon request.
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Worksite address
dallas, TX, 75215, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.