Engineering Manager

Company Overview

TOPdesk creates service management software utilized by sectors including education, healthcare, government, and manufacturing. With over 800 employees spread across 11 global offices, and more than 10 million users worldwide, the company has been enhancing service delivery worldwide for over three decades.

The company culture is open and collaborative, with minimal hierarchy. Employees take full ownership of their work and are empowered to make impactful decisions. TOPdesk is innovating IT and enterprise service management by developing trustworthy AI agents, and this role plays a key part in that vision.

Role Summary

This position involves leading one or two specialized technical teams focused on domains such as front-end, middleware, back-end, data, or platform engineering. The Engineering Manager provides both leadership in people management and technical guidance, ensuring teams deliver on their objectives with quality and operational stability. The role requires direct involvement in AI-native software development lifecycle practices and collaboration with the Director of Engineering.

Team Environment

• Manage teams responsible for focused technical missions (e.g., front-end features, middleware services).
• Ensure delivery of roadmap segments within the engineering lane.
• Define and maintain technical standards aligned with the Chief Architect’s architecture and AI-native development workflows.
• Participate in a global engineering organization of around 170 employees across multiple offices in Europe.

Key Responsibilities

• Set and uphold technical direction and quality for the team's domain in partnership with team members.
• Make critical technical decisions ensuring security, reliability, and operational excellence.
• Collaborate on architecture and system design with senior technical leaders.
• Coach engineers to develop their skills, advancing individuals into senior and staff roles.
• Recruit and make informed personnel decisions tactfully and decisively.
• Own the delivery schedule and operational health of your teams’ products, safeguarding cycle time and quality.
• Maintain a sustainable review process balancing agent autonomy with human accountability within the AI-native SDLC.
• Contribute to shared technical components like subagents, evaluation frameworks, and agent workflows.
• Personally engage in developing agentic engineering environments and tools.

Technical Context

• The primary agentic environment is Claude Code, which integrates planned autonomous agent operation with engineer oversight and accountability.
• Technology stacks vary by team mission and may include legacy Java and MS SQL architectures being modernized.
• Modern technologies in use include Python, TypeScript, Vue, Postgres, Azure, Kubernetes, and infrastructure-as-code with Terraform.
• Engineering practices involve cloud-native, service-oriented designs with an emphasis on agent-based tooling and workflows.

First Year Goals

• Ensure your teams consistently meet their roadmap goals, improving throughput, quality, and system stability.
• Establish and maintain clear, rigorous technical standards that raise the engineering bar.
• Demonstrate measurable growth in team members, including development into higher roles.
• Integrate AI-native engineering workflows as a normal practice, contributing patterns and evaluation strategies.

Required Qualifications

• Bachelor's degree or equivalent experience in Computer Science, Software Engineering, or related field.
• Proven experience as an engineering manager mentoring engineers into senior and staff positions while owning team deliverables.
• Strong technical expertise in one or more relevant domains (front-end, middleware, back-end, data, platform) with a hands-on approach to technical leadership.
• Current experience practicing AI-native software development methodologies (such as Claude Code) with demonstrable contributions.
• Skilled in talent development and making challenging personnel decisions.
• Adept at communicating clearly and navigating ambiguity and legacy systems.

Preferred Qualifications

• Experience leading teams through significant technical or operational transformations.
• Contributions to reusable subagents, evaluation tools, or documented software conventions within teams.
• Deep domain knowledge related to one of the product lanes.

Additional Information

• Permanent employment contract assuring job security.
• Option for up to 50% remote work.
• Compensation includes holiday bonuses, special payments, and tax-free monthly benefits via Mastercard, alongside corporate benefits.
• Flexible working arrangements including full-time and part-time opportunities with adjustable work hours.
• 30 days of annual leave.
• Structured onboarding with training programs and dedicated mentoring.
• Family-friendly policies supporting parental leave and caregiving responsibilities.
• Informal and open culture fostering collaboration in an international workplace.
• Professional development through training, language learning, and e-learning platforms.
• Health and wellbeing services including mental health support and in-office massages.
• Mobility benefits such as free parking, bicycle facilities, bike leasing, and public transport tickets.

Equal Opportunity

Applications are welcomed from all individuals regardless of ethnicity, social background, age, religion, gender, disability, sexual orientation, or identity.