Your springboard in the age of AI
With us, you learn directly from real customer problems – with feedback and support from the team. You take on responsibility for real problems early, help build a fast-growing company and work with people and companies that move you forward.
Where you stand after four years matters to us as much as what you build here. You work directly with customers, partners and strong colleagues. That network and your experience open up good options afterwards – with us and beyond.
We work towards a clear mission: taking AI in the Mittelstand from the playground into production – sovereign, step by step and with measurable impact. We are growing strongly and investing in our platform, hands-on guidance and our customers' success. Many processes and responsibilities are being built right now, and you help shape them.
What we build is used inside companies.
MeinGPT is the AI use case platform for the Mittelstand: from the first personal AI use case deep into core processes. The work does not end with a demo. A result has to make sense to the people involved and work inside the existing process.
This makes the work concrete: product decisions change how people use AI every day. Adoption and training reveal where obstacles remain. Technical solutions have to account for data, permissions, and existing systems.
companies. reached through our platform, academy, workshops, and guided adoption.
users. have already worked with MeinGPT.
MeinGPT. has been developed as SelectCode GmbH's AI product.
You learn because you take responsibility.
We work with ambition, but not through distance or status. Whoever owns a topic brings in the right people early, shows work in progress, and tests it against reality.
You own your topic. No micromanagement. You decide how to approach it and bring in the people and input you need. You are only done when the solution works in reality.
You learn from every team. Sales, product, engineering and AI Success work closely together. You get insight into other ways of thinking and making decisions. That makes you better at your own work.
Your work shapes how we work tomorrow. We are building a lot for the first time. What you decide and deliver today influences how processes, product and collaboration look in the years ahead.
We grow. You grow with us.. We are growing strongly and investing in our platform, hands-on guidance and our customers' success. New tasks emerge, responsibility is handed over and you have a real chance to take on more than you do today.
Your network grows with you. You work directly with decision-makers in the Mittelstand, with partners and at events such as AI Connect. That builds contacts and experience that will still open doors for you four years from now.
Mistakes are part of it. We learn from them together.. When you build something new, not everything works the first time. That is normal and part of the work. We talk about it openly, draw conclusions together and get better as a team.
We work with focus, but not stiffness. Weekends away together, carnival at the office, and spontaneous team photos are as much a part of the team as reviews and customer meetings.
How we work on a new problem.
You will not receive a fully specified ticket and disappear with it for two weeks. You clarify the problem with the people who know it and stay involved in the outcome.
The work starts with an open problem. Whoever takes on the topic first works with everyone involved to understand what is failing today and what a good solution would look like. Product, engineering, and customer work therefore come together early.
Then we build a first version that people can try. Agents can research, prepare code, and support testing. People decide on architecture, language, risk, and whether the proposal solves the right problem at all.
A task is not finished simply because code was merged or a draft was sent. We check whether people understand the solution, whether it works in their workflow, and what we should carry into the product, adoption work, and documentation.
Product and engineering
Agents help with research, implementation, and tests. People clarify the problem, decide on the architecture, and review behavior, security, and maintainability.
Marketing and sales
AI supports research, first drafts, and comparing information. Claims, sources, and the specific customer context are checked before anything is used.
Adoption and customer work
AI helps prepare conversations, organize knowledge, and structure possible use cases. The people inside the company provide context and decide what is actually implemented.
Responsibility stays concrete. Anyone using AI must be able to explain which sources, tests, and human checks support a result. The greater the possible consequence, the stronger the review.
Find the work that fits you.
Each listing explains the role, location, working hours, and application details that apply to that position.
Product
- (Senior) Platform Engineer (f/m/d)Unterhaching / Munich or Berlin · Full timeView the role
- (Senior) Product Engineer (f/m/d)Unterhaching / Munich or Berlin · Full timeView the role
Growth
- Account Executive (f/m/d)Unterhaching / München oder Berlin · Full timeView the role
- Senior Account Executive (f/m/d)Unterhaching / München oder Berlin · Full timeView the role
Impact
- AI Success Manager (f/m/d)Unterhaching / München oder Berlin · Full timeView the role
- AI Support Specialist (f/m/d)Unterhaching / München oder Berlin · Full timeView the role
- AI Trainer (f/m/d)Unterhaching / München oder Berlin · Full timeView the role
Operations
- Recruiter & People Operations Manager (f/m/d)Unterhaching / Munich · Full timeView the role
You like the team but none of the roles match? Write to us anyway.
How we get to know each other.
The exact process depends on the role. The listing tells you which conversations and work sample are involved, so you know what to expect before applying.
- 1.
Online form
You send us your CV and a few details about what interests you in the role.
- 2.
First call
We discuss the role and the relevant conditions. You get space for your questions about the work and the team.
- 3.
Case study
Depending on the role, we work through a realistic technical, commercial, or conceptual case together.
- 4.
Decision
Both sides clarify the remaining questions and decide whether the role and the way of working fit.
Why we are building MeinGPT.
Our mission and the way we work belong together. On the About page, you can learn what we work for: a German-speaking Mittelstand that stays world-class in the age of AI. And how we take use cases step by step from the first sprint into production.
Learn more about MeinGPT