Role Summary
The Senior Manager, Product Software Engineering is responsible for leading and scaling high-performing engineering teams while driving execution, technical excellence, organizational effectiveness, and engineering innovation across multiple product initiatives.
This role serves as a key extension of engineering leadership, enabling the organization to scale delivery, improve engineering productivity, strengthen technical quality, and accelerate modernization initiatives. The individual will partner closely with Product Management, Architecture, UX, QA, DevOps, Business Leaders, and Engineering Managers to execute strategic roadmaps, mature engineering practices, and build a culture of accountability, continuous learning, and AI-driven software development .
The ideal candidate combines strong people leadership, technical depth, delivery management expertise, and a passion for leveraging modern engineering capabilities including AI-assisted development, automation, developer productivity tooling, and Spec-Driven Development practices.
Key Responsibilities
Lead and develop multiple engineering teams across products, platforms, and technology initiatives.
Foster a high-performance engineering culture focused on ownership, innovation, collaboration, and continuous improvement.
Create an environment that encourages experimentation, learning, and adoption of emerging technologies.
Own execution of engineering roadmaps and strategic initiatives across multiple teams.
Drive predictable delivery by implementing planning disciplines, dependency management, risk mitigation, and outcome-based tracking.
Establish metrics and operational reviews for delivery quality, velocity, productivity, reliability, and customer impact.
Partner with Product and Business stakeholders to prioritize initiatives and balance strategic investments with operational commitments.
Ensure engineering teams consistently deliver secure, scalable, maintainable, and high-quality solutions.
Partner with Product Architects and Technical Leads to guide engineering solutions aligned with enterprise architecture standards.
Support modernization initiatives involving cloud-native architectures, APIs, platforms, data services, AI capabilities, and distributed systems.
Influence technical strategy, platform investments, and engineering standards across teams.
Promote engineering best practices in software design, architecture, testing, observability, security, resiliency, and maintainability.
Champion automation across development, testing, deployment, operations, and support processes.
Ensure technical debt management and platform sustainability remain part of engineering planning.
Partner closely with Product Management, Architecture, UX, QA, Security, DevOps, and Business stakeholders.
Translate business objectives into executable engineering plans and measurable outcomes.
Drive alignment across geographically distributed teams and organizational boundaries.
Influence decisions at leadership levels through data-driven recommendations and clear communication.
AI-Driven Engineering & Developer Productivity
Drive adoption of AI-first software engineering practices across the SDLC.
Champion AI-assisted development tools including GitHub Copilot, agentic development platforms, automated code reviews, AI-powered testing, and engineering intelligence solutions.
Promote Spec-Driven Development methodologies and AI-Oriented SDLC practices to improve delivery predictability and quality.
Leverage engineering metrics, analytics, and AI insights to optimize productivity, code quality, system performance, and operational efficiency.
Evaluate emerging AI technologies and identify opportunities to accelerate product development and engineering effectiveness.
Required Skills & Experience
Engineering & Technology
Extensive experience leading software engineering organizations delivering enterprise-scale products and platforms.
Bachelor's degree in Computer Science, Software Engineering, or a related field.
15+ years of software engineering experience, including hands-on delivery of enterprise and SaaS applications.
5+ years of experience managing and mentoring engineers while remaining directly involved in software development and technical delivery.
Advanced proficiency and hands-on experience with C#, modern .NET, Angular, TypeScript, REST API development, RDBMS databases (SQL Server, Oracle).
Strong understanding of modern application architecture, cloud-native development, microservices, APIs, event-driven systems, and platform engineering.
Experience with Azure .
Experience driving DevOps, CI/CD, Infrastructure as Code, observability, and operational excellence practices.
Experience managing modernization and digital transformation initiatives.
Excellent stakeholder management and executive communication skills.
Ability to influence without authority and drive alignment across complex organizations.
Experience balancing strategic planning with operational execution.
Modern Development Practices
AI-Assisted Software Development
Spec-Driven Development
AI-Oriented SDLC
Product-Centric Engineering
Agile Product Delivery
Developer Experience (DevEx) Optimization
Engineering Productivity Measurement
Platform Engineering & Internal Developer Platforms
Preferred Qualifications
Experience delivering Agentic AI or generative AI capabilities in production, including agent orchestration, MCP, tool integration, evaluation, safeguards, and human-in-the-loop workflows.
Familiarity with Azure OpenAI, Semantic Kernel, AutoGen, LangGraph, or comparable technologies.
Experience implementing AI-powered engineering platforms, agentic development solutions, or developer productivity initiatives.
Experience managing globally distributed teams and large-scale modernization programs.
Exposure to product architecture, platform strategy, and technical governance practices.
Experience driving measurable improvements in engineering productivity, quality, operational excellence, and customer outcomes.
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:
$116,400.00 - $204,100.00 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.
EQUAL EMPLOYMENT OPPORTUNITY Wolters Kluwer U. S. Corporation and all of its subsidiaries, divisions and customer/business units is an Equal Opportunity / Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.
