Manager - Software Engineering
AI in this role
Here at Wolters Kluwer Italia we are looking for a Manager – Software Engineering with strong leadership ability, a pragmatic outlook and experience growing teams and people to join our Product Software Development teams.
As a Software Engineering Manager you will build and lead a high performing team of engineers working to deliver highly-scalable, web-based software. As part of engineering leadership, you will serve as an expert in software design & architecture with a proven track record of executing large initiatives using agile practices.
A key objective of this role will be driving the adoption of AI-native software development practices across the Software Development Lifecycle, helping teams leverage Artificial Intelligence throughout the Software Development Lifecycle, adopting AI-native practices such as agentic software development, spec-driven engineering and AI-assisted delivery to increase software quality, engineering productivity and innovation.
As a leader, you are passionate about continuously improving our processes, practices and technology stack and helping create a culture of high performance.
What You’ll Be Doing:
Provide project-based technical leadership within the Engineering team.
Drive the adoption of AI-native software development practices, including agentic workflows, spec-driven engineering and AI-powered development tools across engineering teams.
Partner with Product and Architecture leaders to identify opportunities where AI can improve delivery effectiveness and customer outcomes.
Interpret business challenges and recommend best practices to improve software programs and/or internal WK applications.
Apply specialized expertise and advanced technical knowledge of programming languages and software to perform complex technical assignments .
Lead others in solving complex technical problems, using sophisticated analytical thought to identify innovative solutions.
Translate business needs into capability build up and hiring plans in own teams, play a key role in helping us continue to attract, develop and retain great engineering talent.
Help our people set goals that will grow their careers.
Foster a diverse and inclusive working environment where everyone can thrive.
Identify blockers, problems or red flags and ensure the teams are aware of these and take timely action to deal with them.
Set performance goals according to employee expectations and company needs and check the progress towards these goals with periodical check-ins, collecting feedback, and giving support and direction.
Collaborate with the recruiting process (candidate screening and interviews) and help define the team composition and the overall organizational design.
Qualifications and Skills:
At least a couple of years’ experience leading people.
Experience with modern software engineering practices, including AI-assisted development, agentic workflows and spec-driven approaches.
Understanding of how Artificial Intelligence can be applied throughout the Software Development Lifecycle.
Solid understanding of Cloud Application & development.
Solid knowledge of Microsoft .Net programming languages.
Knowledge of C#, frontend programming languages (Javascript, HTML5, CSS) and SQL Database.
Knowledge of versioning tools (Git).
Strong knowledge of Agile practices (ideally TDD).
Strong understanding of how to drive a thriving Engineering culture.
Data driven approach to decision making.
Able to implement evaluation criteria and career planning for engineers which address a healthy mix of technical & leadership skills.
Strong communication, presentation, and interpersonal skills.
Fluent in Italian and English.
What we offer:
People Care: care and attention towards the work environment, people, and their individual and professional growth within the Technology organization.
International and Cross-functional Projects: opportunities to participate in international projects to ensure the exchange of knowledge and ideas.
Work Methodology: Agile operational mode in a collaborative, informal work environment that fosters the exchange of ideas.
Benefits:
Hybrid work mode;
Flexible hours to ensure work-life balance;
Meal vouchers worth 8 euros per working day;
Online well-being programs;
Welfare platform open to all employees.
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.
How we rate this
Manager - Software Engineering at Wolters Kluwer rates 21 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
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