Technology Product Manager (AI Product)

Wolters Kluwer•New York City, NY

9h•Hybrid

About The Position

Wolters Kluwer ELM Solutions is seeking a highly motivated Technology Product Manager to drive AI-powered product innovation and ensure real-world impact of intelligent solutions. This role operates at the intersection of AI, product, domain, and customer engagement, with a strong focus on operationalizing AI/GenAI solutions, validating output, and supporting go-to-market efforts. The Product Manager will collaborate with product managers, domain experts, sales teams, AI and engineering teams to translate business problems into intelligent workflows, support rapid experimentation, and ensure solutions like LegalVIEW BillAnalyzer deliver high-quality, scalable outcomes. This is an individual contributor role and a hybrid position, requiring 2 days a week at the Liberty St. office in New York.

Requirements

Bachelor’s degree in engineering, computer science, data/analytics, or product management, or related field.
2+ years of experience in AI/ML products, analytics, or product-facing roles.
Strong understanding of AI/GenAI concepts (LLMs, RAG, NLP, ML) in applied settings.
Experience working with AI/ML-driven products or analytics workflows.
Ability to evaluate outputs and identify patterns, risks, and improvement areas.
Strong communication skills, especially in customer-facing and cross-functional settings.
Familiarity with Python, SQL, or data tools (working knowledge preferred).
High attention to detail with strong problem-solving ability.
Ability to operate in a fast-paced, collaborative, and evolving environment.

Nice To Haves

Master’s degree preferred.
Experience in legal billing, invoice review, or compliance domains is a strong plus.
Exposure to enterprise AI/GenAI solutions preferred.

Responsibilities

Translate product and business needs into AI-driven insights and intelligent workflows.
Act as a bridge between product, domain experts, AI Center of Excellence, Engineering and customer-facing teams.
Support adoption and continuous improvement of AI-powered product capabilities.
Collaborate with Product Management, UX/CX and Engineering teams to prototype and validate GenAI/ML solutions.
Participate in experimentation cycles (LLMs, RAG, NLP, predictive models).
Provide structured feedback to refine models and improve output quality.
Lead validation, review, and tuning of outputs from the LBA AI solution.
Identify gaps, edge cases, and inconsistencies in invoice analysis.
Collaborate with Domain Experts and AI Operations teams to improve accuracy, reasoning, and compliance alignment.
Drive continuous feedback loops to enhance model performance.
Review and contribute to AI addendum sections within LBA, ensuring clarity, accuracy, and alignment with product capabilities.
Provide hands-on support for LBA customers with data residency and compliance requirements, ensuring solutions are implemented within these constraints.
Partner with Sales, Product Managers, and SMEs to respond to customer queries and solution deep-dives.
Support and participate in pre-sales demos, showcasing AI capabilities and product value.
Help translate AI functionality into clear customer-facing narratives and use cases.
Support compliance, transparency, and responsible AI usage in customer-facing documentation.
Collaborate with Sales and legal teams to ensure AI features are correctly represented.
Evaluate AI outputs for accuracy, relevance, and business impact.
Define and track success metrics and performance indicators.
Drive improvements in agentic workflows and decision quality.
Partner with product, engineering, domain experts, sales, and operations teams.
Communicate insights and recommendations clearly to stakeholders.
Support training, documentation, and adoption of AI-driven solutions.
Proactively pursue professional development activities.
Manage time and company resources appropriately.
Perform other duties as requested by his/her supervisor.