Two things stood out. First, the focus on quality engineering as the main topic, not as a side activity. After years in large global consultancies, I was looking for a place where I could go deeper into the craft instead of constantly switching context. Second, the people and the culture. From the first conversations in Munich I felt a pragmatic, straight forward mindset combined with real curiosity around topics like AI in QA. The values of the company, with its flat hierarchies and trust-based working style, was another strong pull. But what truly tipped the balance was the opportunity to help build something new locally. The vision of establishing a real presence in Munich, growing the team in a healthy way and over time opening our own office here, is exactly the kind of long-term challenge I was looking for.
The biggest lesson is that quality means something different in every industry, and a good test manager must translate between those worlds. In finance, it is about traceability, audit-readiness and zero tolerance for production defects. In automotive, especially during transformations, it is about orchestrating dozens of applications and teams without losing the end-to-end picture. In energy it is closely linked to operational stability and regulation. Three principals have stayed constant for me. First, start with risk, not with test cases. Second, invest in people because a well-mentored team will outperform any framework. Third, make quality measurable, because without clear KPIs you cannot have an honest conversation with stakeholders.
I think we are moving from "test execution" as the center of gravity to something I would call "quality intelligence". Classical activities like writing and running test cases will increasingly be supported or replaced by AI, and that is a good thing. It frees testers to focus on what machines are still bad at: understanding business risk, asking the uncomfortable questions, shaping strategy. At the same time, AI is creating completely new test objects. We will need to validate non-deterministic systems, LLM-driven features and AI agents, and must define new methods for that. We at System Verification are actively working to define and to provide you with those new methods. So the role of QA will become more strategic and more technical at the same time. Test managers who can combine business understanding, engineering depth and a clear point of view on responsible AI will be in very high demand.
Three things. First, people. Watching a junior consultant grow into a confident test lead, or helping a team find its rhythm after a difficult phase, is the most rewarding part of my job. Second, complexity. I am genuinely happy when I walk into a project with an unclear test landscape, dozens of stakeholders and no shared definition of "done", because that is exactly where a good test strategy makes the biggest difference. And third, impact. I want to leave projects in a better shape than I found them: better processes, clearer KPIs, more capable people.
Looking back, I didn’t initially set out to specialize in quality engineering, but it quickly became an important area that shaped my career. I joined Ericsson in 2011, first as a Solution Architect in the IMS and VoLTE space and later moved into test management for IMS, 5G and Cloud projects. After almost nine years in telecom, I joined Accenture, where I broadened my view into automotive and finance. I led the E2E test strategy for a large transformation project with a team of several QA experts. Since April 2025 I am with System Verification in Munich and are working for one of our clients in the energy sector. So, the common ground has always been quality engineering in complex, cross-functional environments, with each industry adding a new perspective on what quality really means.
His journey across telecom, automotive, finance, and energy illustrates how quality engineering continuously evolves with each industry and technological shift, while reinforcing the importance of strong teams, risk-based thinking, and measurable impact as QA becomes increasingly strategic and shaped by AI.
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