# Lead Product Software Engineer at Wolters Kluwer

Wolters Kluwer is hiring a Lead Product Software Engineer. It pays $116k-$204k a year and Level rates it Works on AI ●●●○; you can [apply on Wolters Kluwer](https://jobsbylevel.com/go/0f35d7f2-ecd1-4d19-a7e3-0b994767c3ee?utm_medium=ai-agent).

AI Level 3, AI centrality 63 out of 100. USA - Coppell, TX.

## Details

- Company: [Wolters Kluwer](https://jobsbylevel.com/companies/wolters-kluwer)
- AI level: AI Level 3 (score 63 out of 100)
- Location: USA - Coppell, TX
- Salary: $116k-$204k
- Posted: November 9, 2026
- Apply: https://jobsbylevel.com/go/0f35d7f2-ecd1-4d19-a7e3-0b994767c3ee?utm_medium=ai-agent
- Free CV review for this job: https://jobsbylevel.com/cv-review?job=lead-product-software-engineer-at-wolters-kluwer-19ad23

## Prepare for this job

The job page lists 5 likely interview questions for this offer, with a CV checklist: https://jobsbylevel.com/jobs/lead-product-software-engineer-at-wolters-kluwer-19ad23

## Description

Business License helps organizations manage the complexity of business licensing and regulatory compliance across jurisdictions. Our solutions support license research, ordering, renewals, workflow, documentation, reporting, and ongoing compliance operations. Business License has impressive and consistent double-digit growth and an aggressive multi-year plan to continue to speed things up. We are modernizing a mature product portfolio into a scalable, cloud-based ecosystem. Recent progress includes migration to Wolters Kluwer cloud infrastructure, conversion of a large Silverlight desktop application to Angular, improved release automation and resilience, and creation of the foundation for a License Intelligence Platform. The next phase focuses on platform simplification, service decoupling, enterprise performance, customer self-service, integrations, and AI-enabled workflows. About the Role As Technical Lead, you will shape the technical direction of a multi-year transformation that is already producing measurable delivery, performance, and user-experience gains. You will own delivery for customer self-service, License Intelligence, workflow, reporting, integrations, and AI-enabled compliance experiences. You are a hands-on lead and trusted partner to Product and Engineering management. You enjoy solving modernization and scale challenges, not only reviewing designs. You will also mentor engineers and set standards for AI-assisted and agentic development. Responsibilities Partner with product and engineering management to define the technical strategy and roadmap. Translate business priorities and customer needs into clear technical priorities. Own delivery from requirement clarification and design through implementation, testing, release, and post-release validation. Create practical delivery plans covering architecture, milestones, sequencing, owners, dependencies, timelines, and success measures. Manage competing priorities across workstreams by proposing options, sequencing work, and assigning ownership. Lead architecture and design reviews. Document major decisions and balance tradeoffs across delivery, reliability, security, quality, maintainability, and cost. Guide the evolution from tightly coupled legacy applications toward modular business capabilities, modern APIs and services, and cloud-based operations. Identify risks, blockers, and dependencies early. Communicate scope or timeline changes, recommend mitigations, and escalate when needed. Represent the team in cross-team technical discussions and drive decisions and dependencies to resolution. Own the technical and operational health of the team's applications and AI services. Monitor service health with New Relic and Datadog, and maintain prioritized plans for tech debt, reliability, and architecture improvements. Establish team practices for planning, testing, release readiness, quality standards, incident follow-up, and continuous improvement. Evaluate and optimize AI tool use. Set validation standards and review processes for AI-generated code. Lead responsible-AI practices. Design and optimize agentic workflows for team efficiency and product features. Stay hands-on in .NET, Angular (v18+/NgRx), REST APIs, SQL Server, and Azure. Mentor engineers through delegation and actionable feedback. Give management evidence-based input on growth and performance. Participate in planned deployments, incident response, and urgent production fixes outside normal hours when needed. Required Qualifications 8+ years in software engineering with deep .NET and Angular expertise. 1+ year of agentic AI development. Proven technical leadership: architecture, design reviews, roadmap planning, and cross-team delivery. Strong in REST API design, SQL Server, relational design, IIS and self-hosted deployments, Azure, Azure DevOps CI/CD, and GitHub. Strong testing discipline (NUnit, Jasmine, code coverage) and production support experience. Advanced AI tool proficiency, including

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