AI Product Owner: Post-Launch Lead for Agentic AI

Wolters Kluwer N.V.

Dallas (TX)

On-site

USD 86,000 - 149,000

Full time

3 days ago
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Benefits offered by this job

Medical benefits
401(k)
Tuition assistance
Paid parental leave

Job summary

Wolters Kluwer N.V. is seeking an AI / Agentic Product Owner in Dallas to own the post-release lifecycle and drive continuous optimization of agentic AI solutions.

You will manage the backlog, prioritize features, and coordinate with AI enablement, trainers, engineering, and business stakeholders to deliver business value. The role requires 7+ years in product ownership, familiarity with generative AI concepts, and the ability to translate feedback into prioritized work while balancing delivery

Qualifications

  • 7+ years in Product Ownership, Business Analysis, or related roles
  • Experience in Agile environments
  • Experience coordinating across business, technology, QA, and stakeholders
  • Preferred: AI/ML-enabled products or intelligent automation
  • Foundational understanding of LLMs, RAG, and prompt-driven workflows

Responsibilities

  • Own Post-Release Product Lifecycle and backlog
  • Continuously evaluate product performance and improvements
  • Drive backlog prioritization and release planning
  • Coordinate with engineering, QA, AI Enablement, and Trainers
  • Translate feedback into actionable backlog items
  • Balance defects, AI performance, and feature requests

Skills

Backlog prioritization
Decision making
Cross-functional collaboration
AI/product sense
Stakeholder influence
Communication
Analytical thinking
Ambiguity management
Prioritization under constraints

Education

Bachelor’s Degree or equivalent experience
MBA or advanced degree (preferred)

Tools

AI/ML concepts knowledge

Job description

Wolters Kluwer N.V. is seeking an AI / Agentic Product Owner in Dallas to own the post-release lifecycle and drive continuous optimization of agentic AI solutions.

You will manage the backlog, prioritize features, and coordinate with AI enablement, trainers, engineering, and business stakeholders to deliver business value. The role requires 7+ years in product ownership, familiarity with generative AI concepts, and the ability to translate feedback into prioritized work while balancing delivery

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