Engineering Management · AI Transformation Across Teams · Karlsruhe, Germany
Engineering Leader & AI Transformation Advisor
I build teams that ship. Engineering Manager with 15+ years leading software organisations — from hands-on architecture to managing multi-team departments. Currently advising on how organisations apply AI in product teams, customer-facing experiences, and internal processes.
Enterprise AI · Engineering Leadership
An ongoing series on what actually happens when large organisations move AI from pilots into daily practice.
Part 5 of 5 ·
A practical way to let AI workflows earn more autonomy as evidence, ownership, and operational readiness grow.
A practical governance playbook for moving AI workflows from experiment to managed service through evidence, named ownership, evaluation, and service levels.
Part 3 of 3 ·
A hands-on Open Knowledge Format setup: markdown, git, an agent skill, pull requests, and Obsidian for trustworthy AI context.
A hands-on Open Knowledge Format setup: a markdown wiki with defined domains, an AI skill that turns raw content into PRs, and a link graph in Obsidian.
Part 5 of 5 ·
A prompt library, evaluation set, or reusable skill becomes capability only when people can find it, trust it, adapt it, validate it, and improve it.
Why shared AI assets need an adoption path, and a practical lifecycle for turning libraries into reusable organizational capability.
Part 4 of 5 ·
Five kinds of AI bet, and why each one needs its own evidence, its own owner, and its own reason to stop.
AI ideas are not comparable. Sorting them into five kinds of bet gives each one the evidence, ownership, and stopping rule it actually needs.
Part 3 of 5 ·
Why a mature enterprise AI strategy asks whether a workflow is worth operating, not just whether it is technically possible, and when to say no.
Some AI ideas are technically possible but not worth operating. Mature AI strategy includes saying no.
Work History
15+ years in tech — growing from developer to engineering leader. Led multi-team departments at IONOS, built cross-functional teams at internetstores, 1&1 and Cloudflight. Currently advising on how organisations apply AI in product teams, customer-facing experiences, and internal processes.
IONOS SE · Karlsruhe
Bridging the gap between AI innovation, technical implementation, and operational business impact.
Cloudflight Germany GmbH · Karlsruhe
Leading a portfolio of client engagements across custom software development, cloud consulting, and AI solutions. Responsible for delivery quality, customer satisfaction, and sustainable business growth, combining technical, product, project, and organisational leadership to translate customer needs into effective delivery.
Owning project health, commercial performance, and long-term customer relationships across multiple accounts, while coaching project leaders and helping teams adapt to new technologies, delivery practices, and evolving customer demands.
IONOS SE · Karlsruhe
Responsible for the technical implementation of various product management and self-service frontends, including the IONOS Control Panel and Data Center Designer.
1&1 IONOS SE · Karlsruhe
Led a 10-person team responsible for the IONOS Control Panel. Drove the transition from a legacy monolith to Spring Boot microservices and introduced a central Design System — later adopted across multiple frontend teams in the organisation.
internetstores GmbH · Stuttgart
Directed an 18-person department spanning development, QA, and UX — my first role leading a cross-functional team outside of 1&1. Oversaw 34 online shops on PHP/Symfony and led the platform migration to Salesforce Commerce Cloud.
Grew from dual-study student to Head of Apps & Frontend Services over nine years — taking on progressively larger teams and broader scope, from Senior Developer to Head of Frontend Platform.
What I Do
Building and growing cross-functional engineering teams across multiple locations. Leading 50+ developers with a focus on clear ownership, hands-on mentoring, and a culture where engineers can do their best work.
Decomposing decades-old systems into maintainable services — without stopping delivery. Splitting monoliths, migrating platforms, and establishing design systems that teams actually want to use.
Helping organisations figure out where AI genuinely fits — from product discovery and customer-facing experiences to internal workflows, team enablement, and the operating model needed to make it stick.
Get In Touch
Based in Karlsruhe, Germany. If you want to talk engineering leadership, AI transformation in product teams, customer-facing experiences, or internal processes — I'm on LinkedIn.