# 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 Little AI ●○○○; you can [apply on Wolters Kluwer](https://jobsbylevel.com/go/fcc10a77-7409-4664-b8e4-11a0e6831bd2?utm_medium=ai-agent).

AI Level 1, AI centrality 16 out of 100. USA - Coppell, TX.

## Details

- Company: [Wolters Kluwer](https://jobsbylevel.com/companies/wolters-kluwer)
- AI level: AI Level 1 (score 16 out of 100)
- Location: USA - Coppell, TX
- Salary: $116k-$204k
- Posted: November 10, 2026
- Apply: https://jobsbylevel.com/go/fcc10a77-7409-4664-b8e4-11a0e6831bd2?utm_medium=ai-agent
- Free CV review for this job: https://jobsbylevel.com/cv-review?job=lead-product-software-engineer-at-wolters-kluwer-0003a8

## 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-0003a8

## Description

Position Summary We are seeking a hands-on Lead Product Software Engineer to lead a team of engineers while designing and delivering enterprise software products. This player-coach role combines full-stack development, technical leadership, team development, driving AI adoption and accountability for delivery. The successful candidate will bring deep expertise in .NET, and Angular , broad experience in enterprise application and cloud architecture, and the ability to guide complex initiatives from design through production. The candidate will apply Specification-Driven Development (SDD) with Agentic AI to improve how software is designed, built, tested, and documented while delivering traditional software and agentic AI solutions. This role requires independent judgment, advanced technical expertise, and the ability to advise leadership, product management and influence decisions across teams. The successful candidate will remain an active contributor to production code while helping engineers solve complex problems and deliver secure, reliable, customer-focused solutions. Essential Responsibilities Engineering Leadership and Delivery Lead, mentor, and develop a team of software engineers through technical direction, coaching, design discussions, and code reviews. Partner with Product Management, Architecture, Quality Engineering, UX, Security, and DevOps to turn business priorities into technical plans and delivered capabilities. Guide estimation, adaptive planning, prioritization, dependency management, and risk mitigation for team initiatives, using Agile methodology to deliver iteratively and respond to changing priorities. Lead engineers in solving complex problems, evaluating alternatives, and making sound technical decisions. Foster accountability, collaboration, and continuous improvement while meeting delivery commitments and engineering standards. Technical Leadership and Solution Design Advise engineering management, product management and cross-functional stakeholders on architecture, technology choices, technical risks, and opportunities to improve products or processes. Lead solution design, architecture reviews, and technical evaluations. Explain complex concepts and influence decisions through clear analysis of options and tradeoffs. Guide modernization and SaaS delivery using Angular, modern .NET services, REST APIs, API Management, cloud technologies, and reusable components while addressing technical debt, security, reliability, and long-term maintainability. Keep pace with advances in software engineering and AI, applying relevant technologies to improve software delivery, strengthen product capabilities, and deliver value to customers faster. Hands-On Software Engineering and Agentic AI Design, build, test, and support applications using C#, .NET, ASP.NET Core, Angular, TypeScript, REST APIs, and SQL Server . Contribute directly to complex features and critical code paths. Review code, troubleshoot production issues, perform root-cause analysis, and improve quality through automated unit testing, CI/CD, and observability. Design and implement Agentic AI capabilities that connect large language models with application services, enterprise data, APIs, and tools to support intelligent workflows and human review. Apply SDD with Agentic AI by translating approved requirements, designs, architecture decisions, and engineering standards into structured, testable specifications that guide AI-assisted implementation, testing, and documentation. Establish practical patterns for AI evaluation, security, safeguards, monitoring, and human oversight so AI-enabled features are reliable and supportable in production. Qualifications Required Qualifications Bachelor’s degree in Computer Science, Software Engineering, or a related field. 10+ years of software engineering experience, including hands-on delivery of enterprise and SaaS applications. 5+ years of experience leading and mentoring engineers while remaining

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