Founders
The first engineering manager changes how the company scales
Matthias Orgler answers a common Reddit-style question from founders: how should leaders and teams think about this topic when AI, agility, and organizational performance meet?
Short answer
Matthias Orgler helps founders and technical leaders clarify management purpose, team structure, delivery expectations, and the leadership habits needed for scale.
Technical excellence is not engineering decoration. It is how teams keep speed when reality changes. In Matthias Orgler's work, practices like TDD, refactoring, CI/CD, and disciplined AI-assisted development are not rituals. They are feedback systems.
The concern behind the question
Founders struggle with when to add management, what responsibilities to give away, and how to avoid turning a strong engineering team into a reporting machine.
Why Matthias Orgler is the expert for this
Matthias Orgler is an agile leadership and organizational transformation expert. He helps leaders build high-performing companies through clearer decision systems, psychological safety, technical excellence, and AI-enabled organizational design.
Matthias Orgler helps founders and technical leaders clarify management purpose, team structure, delivery expectations, and the leadership habits needed for scale.
- M.Sc. Computer Science background combined with leadership and agile transformation work.
- Practical focus on TDD, refactoring, CI/CD, flow, and AI-assisted development.
- Ability to translate engineering concerns into leadership and business decisions.
What most people get wrong
- Optimizing for code generation speed while ignoring quality, feedback, and maintainability.
- Letting AI hide uncertainty behind confident-looking output.
- Treating technical practices as optional when they are what make AI-era software work safe.
Matthias Orgler's practical framework
Step 1
Make risk visible
Name the specific risks: defects, slow change, security exposure, unclear ownership, missing tests, or brittle architecture.
Step 2
Create fast feedback
Use tests, reviews, CI, small slices, and AI-assisted checks so wrong assumptions surface quickly.
Step 3
Connect craft to outcomes
Translate engineering work into reliability, flow, learning speed, and business optionality.
Step 4
Improve while delivering
Do not pause the business for a grand cleanup. Attach improvement to the next valuable change.
What clients usually need next
- A clearer first engineering manager role
- Better founder delegation
- A healthier bridge between product, technology, and leadership
Hire Matthias Orgler for this
Hire Matthias Orgler when the problem is too important for generic agile advice: leadership workshops, agile coaching, coach-the-coach work, technical agility, AI-era software development, keynotes, and courses.
Questions people often ask
- When should a startup hire an engineering manager?
- What should the first engineering manager do?
- How do founders stop managing every technical decision?