Technology Product Manager (AI Product)

Posted Yesterday
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2 Locations
In-Office
83K-142K Annually
Junior
Information Technology • Software
The Role
Lead AI-powered product innovation for legal enterprise solutions, prototyping and validating GenAI/ML workflows (LLMs, RAG, NLP). Drive validation and tuning of LegalVIEW BillAnalyzer, collaborate with domain experts, engineering, and sales for go-to-market support, evaluate model outputs, define success metrics, and ensure compliance, data residency, and responsible AI adoption.
Summary Generated by Built In

Wolters Kluwer ELM Solutions is a business unit under Legal & regulatory division of Wolters Kluwer, specializing in Enterprise Legal Management (ELM) software and services for legal department and law firm management. Their offerings include legal spend management, helping organizations control expenses through detailed tracking and analysis. Matter management tools are provided to efficiently handle legal cases and coordinate with various teams. They also offer contract management solutions, aiding in the creation and storage of legal contracts. Advanced data analytics and reporting capabilities are integral to their products, enabling legal departments to derive actionable insights. Their solutions are designed to streamline workflows, ensure compliance, and automate routine tasks, thereby enhancing the operational effectiveness of legal teams.

We are looking for someone highly motivated to drive AI-powered product innovation and ensure real-world impact of intelligent solutions. This role sits 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.

You will work closely 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.

  • This is a hybrid role, 2 days a week out of Liberty St. office in New York.

Essential Duties & Responsibilities:

Product Intelligence & AI Enablement

  • 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

AI Prototyping & Experimentation

  • 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

LegalVIEW® BillAnalyzer (LBA) - Core Responsibility

  • Lead validation, review, and tuning of outputs from 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

Customer & Go-To-Market Support

  • 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

Model Evaluation & Continuous Improvement

  • 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

Cross-functional Collaboration

  • 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 solution

Other Duties

  • Proactively pursues professional development activities

  • Manages time and company resources appropriately

  • Performs other duties as requested by his/her supervisor.

Qualifications:

  • Bachelor’s degree in engineering, computer science, data/analytics, or product management., or related field.  Master’s degree preferred.

  • 2+ years of experience in AI/ML products, analytics, or product-facing roles.

  • Experience in legal billing, invoice review, or compliance domains is a strong plus.

  • Exposure to enterprise AI/GenAI solutions preferred.

Skills & Competencies:

  • 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.

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:

$82,700.00 - $141,650.00 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, and Paid Parental Leave. Full details of our benefits are available upon request.

Skills Required

  • Bachelor's degree in engineering, computer science, data/analytics, 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 AI outputs, identify patterns, risks, and improvement areas
  • Strong communication skills for customer-facing and cross-functional interactions
  • High attention to detail and strong problem-solving ability
  • Familiarity with Python, SQL, or data tools (working knowledge)
  • Experience in legal billing, invoice review, or compliance domains
  • Master's degree (preferred)

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.

  • 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.
  • 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.
  • 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

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The Company
HQ: Alphen aan den Rijn
18,996 Employees

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).

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