Level

Wolters Kluwer

Director, Product Software Engineering - AI

Wolters Kluwer is hiring a Director, Product Software Engineering - AI for a remote role open to applicants in United States. It pays $179k-$320k a year and Level rates it ; you can apply on Wolters Kluwer.

Level's read on this job

  • Works on AI ●●●○ is how Level rates this role: the daily work is on AI products, without building the model.
  • The posting lists this role as remote.
  • Tools and skills the posting cites include Copilot, Cursor and RAG.
  • Level lists 443 other open roles at Wolters Kluwer.
  • The role was posted in the last few days.

AI in this role

copilotcursor
ragai-agents

Lead AI-Powered Product Innovation at Scale


We are seeking a Director, Product Software Engineering - AI to lead the strategy, development, and delivery of next-generation software and AI-powered solutions that drive meaningful business outcomes. This leader will combine organizational leadership with deep technical expertise, building high-performing engineering teams while partnering closely with Product, Architecture, and business stakeholders to solve complex customer problems.


The ideal candidate is equally comfortable shaping engineering strategy, mentoring technical leaders, influencing executive stakeholders, and driving the adoption of modern AI, cloud, and software engineering practices. This role requires a customer-first mindset, a passion for innovation, and a track record of building scalable engineering organizations that deliver business value through technology.


Key Responsibilities

Strategic Engineering Leadership

  • Define and execute the engineering vision, strategy, and roadmap for Firm Intelligence products and platforms.
  • Lead multiple engineering teams and managers, ensuring alignment with business objectives and product strategy.
  • Drive organizational transformation through modern engineering, cloud, automation, and AI capabilities.
  • Establish engineering standards, development frameworks, and best practices that improve quality, speed, and scalability.

AI & Technical Innovation

  • Champion the adoption of AI-enabled software development and intelligent product capabilities.
  • Partner with Product Management to identify opportunities where AI, automation, and advanced analytics can create measurable customer value.
  • Guide architectural decisions involving cloud-native applications, APIs, platform services, and AI-powered solutions.
  • Foster a culture of experimentation, rapid learning, and continuous improvement.

Customer & Business Impact

  • Collaborate closely with customers, product leaders, and business stakeholders to understand challenges and translate them into innovative technology solutions.
  • Ensure engineering teams remain focused on solving customer problems and delivering measurable outcomes.
  • Utilize data and operational metrics to drive product decisions, prioritize investments, and evaluate success.

Organizational Leadership

  • Build, develop, and retain high-performing engineering leaders and teams.
  • Coach managers and senior engineers through mentorship, technical leadership, and career development.
  • Create an inclusive, collaborative culture that encourages innovation, accountability, and continuous learning.
  • Manage budgets, resource planning, and organizational priorities to support strategic growth.

Required Qualifications

  • Bachelor's degree in Computer Science, Engineering, or related field.
  • 10+ years of software engineering experience with progressive leadership responsibility.
  • 5+ years leading engineering managers and multiple software engineering teams.
  • Experience delivering cloud-native software products and platforms using Azure, AWS, or Google Cloud.
  • Strong understanding of modern software architecture, APIs, DevOps, CI/CD, automation, and Agile delivery methodologies.
  • Experience leading teams building AI-enabled products.
  • Familiarity with LLMs, RAG, agentic workflows, and AI governance.
  • Experience using AI development tools (GitHub Copilot, Cursor, etc.).
  • Customer-centric product development and co-design experience
  • Experience driving engineering strategy and execution within a matrixed enterprise environment.
  • Demonstrated success building and scaling engineering organizations.
  • Strong executive communication, stakeholder management, and organizational leadership skills.

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:

$179,200.00 - $320,200.00 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.

How we rate this

Director, Product Software Engineering - AI at Wolters Kluwer rates 74 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

RAGAI agentsCopilotCursor

Questions you could be asked

  1. How would you design a retrieval step so the model answers from real data instead of guessing?
  2. How do you decide when an AI agent can act on its own versus asking for approval first?
  3. What are the limits of Copilot that you've run into, and how did you work around them?
  4. What's a project where you used Cursor hands-on?
  5. Describe a typical day in a role like this one: which parts run through AI directly?

Adapt your resume

  • List these exact terms on your resume: RAG, AI agents, Copilot, and Cursor. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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