Join our Roland Berger AI Lab and take ownership of bringing AI and GenAI solutions into production and keeping them successful at scale. As Product Engineering Manager, you will shape how our growing portfolio of AI-powered applications is engineered, operated, and continuously evolved, while leading the collaboration between engineering, product, and technology teams.
What you'll do
- Lead and coordinate a team of software engineers responsible for turning validated AI and GenAI prototypes into secure, reliable, production-ready applications
- Manage the product engineering lifecycle, from production readiness and testing through deployment, maintenance, and continuous improvement
- Coordinate software releases, deployment schedules, and production handovers with Product Managers, DevOps, IT, and Security teams
- Ensure applications meet established standards for code quality, security, performance, documentation, and operational reliability
- Plan engineering capacity, allocate resources, prioritize technical activities, and monitor delivery progress across multiple products
- Coordinate application security reviews, infrastructure requirements, and production approvals with relevant internal stakeholders
- Oversee production maintenance, incident resolution, bug fixing, software updates, and technical improvements
- Establish practical engineering processes, release procedures, and maintenance standards to support a growing portfolio of AI-powered products
- Act as the main technical and operational interface between Product Managers, software engineers, and central technology functions
- Degree in Computer Science, Engineering, or a related field, or equivalent practical experience
- 6+ years of professional experience in software engineering, including experience leading engineering teams or coordinating technical delivery
- Strong understanding of backend development, REST APIs, databases, and modern software engineering practices, preferably with Python
- Experience delivering and maintaining production applications in Microsoft Azure or another major cloud platform (AWS or GCP)
- Good understanding of CI/CD pipelines, containerization, automated testing, application security, and monitoring
- Experience coordinating software releases, production deployments, and application maintenance across multiple stakeholders
- Familiarity with Azure application services, DevOps workflows, and enterprise IT/security requirements
- Ability to translate product requirements into engineering plans, manage priorities, and resolve technical delivery dependencies
- Experience with AI/ML, LLM applications, or GenAI solutions is an advantage
- Strong organizational skills, a hands-on problem-solving mindset, and the ability to lead multidisciplinary collaboration
- Excellent communication skills in English
Do you have an entrepreneurial mindset with a winning personality? If so, we look forward to receiving your application (CV, high school diploma, certificates of all academic degrees, work certificates including internships, as well as proof of semesters abroad) via our online portal.
If you have any questions, don't hesitate to contact me.