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 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
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 USDThis 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, and Paid Parental Leave. Full details of our benefits are available upon request.
Skills Required
- Foundational understanding of generative AI concepts, including LLMs, RAG, and prompt behavior
Wolters Kluwer Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Wolters Kluwer and has not been reviewed or approved by Wolters Kluwer.
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Leave & Time Off Breadth — Time away benefits are positioned as broad, spanning vacation and sick time plus paid holidays and other covered leave types. Paid parental and caregiver leave, bereavement leave, and a volunteer day contribute to a more comprehensive time-off offering.
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Retirement Support — Retirement support is framed as meaningful through access to a 401(k)/retirement plan paired with company matching and additional contribution features in some descriptions. This is reinforced by mentions of profit sharing and other long-term savings-oriented programs.
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Parental & Family Support — Family-oriented support stands out through adoption assistance and paid parental leave provisions. These benefits are described alongside other caregiver supports that extend beyond basic leave categories.
Wolters Kluwer Insights
What We Do
Wolters Kluwer (www.wolterskluwer.com) is a global leader in information services and solutions for professionals in the health, tax and accounting, risk and compliance, finance and legal sectors. We help our customers make critical decisions every day by providing expert solutions that combine deep domain knowledge with specialized technology and services. Founded in 1836 and headquartered in Alphen aan den Rijn, the Netherlands, the company serves customers in over 180 countries, maintains operations in over 40 countries and employs 18,600 people worldwide. Wolters Kluwer reported 2019 annual revenues of €4.6 billion. Listed on Euronext Amsterdam, Wolters Kluwer shares (WKL) are included in the AEX and Euronext 100 indices. Wolters Kluwer has a sponsored Level 1 American Depositary Receipt program. The ADRs are traded on the over-the-counter market in the U.S. (WTKWY).
