AI Product Owner: Post-Release Backlog Lead

RiseMe; Dallas City (IL); On-site; USD 86,000 - 149,000; Full time

Job summary

Wolters Kluwer is seeking an experienced Agentic Product Owner to own the post-release lifecycle of AI-driven products. You will manage backlogs, set priorities, and align delivery with business value and user needs, working with AI Enablement, trainers, engineering, and stakeholders.

In this role, you will translate feedback, performance signals, and operational data into actionable backlog items, drive cross-functional coordination, and ensure scalable practices for managing multiple live

Qualifications

• Bachelor’s degree or equivalent experience required.
• MBA or advanced degree preferred.
• 7+ years in Product Ownership, Business Analysis, or related roles.
• Experience in Agile environments.
• Experience coordinating across business, technology, QA, and stakeholders.

Responsibilities

• 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.
• Define, prioritize, and maintain a clear, actionable backlog.
• Lead release planning and prioritization decisions for live AI products.
• Translate post-release feedback and business needs into backlog items.
• Coordinate with AI Enablement, AI Trainers, engineering, and QA to ensure backlog items are actionable.

Skills

Prioritization

Decision-making

Stakeholder influence

Analytical thinking

Cross-functional collaboration

Communication

Ambiguity management

AI concepts

Education

Bachelor’s Degree or equivalent experience

MBA or advanced degree

Job description

Wolters Kluwer is seeking an experienced Agentic Product Owner to own the post-release lifecycle of AI-driven products. You will manage backlogs, set priorities, and align delivery with business value and user needs, working with AI Enablement, trainers, engineering, and stakeholders.

In this role, you will translate feedback, performance signals, and operational data into actionable backlog items, drive cross-functional coordination, and ensure scalable practices for managing multiple live