Spacedome Media GmbH
1 month ago
AI Automations Engineer (m/f/d)
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Company information
- Company
- Spacedome Media GmbH
- Location
- Waldkirchen Germany
- Posted
- 1 month ago
Job description
Do you want to revolutionize the world of e-commerce and scale online shops to seven- and eight-figure revenues in a team of top performers?
Become the most important point of contact for our consulting clients, whom you will strategically advise holistically on META. You are not a classic performance marketer who clicks around in the ad manager, but rather work at a high level with the client. Implementation lies with the client. Your task is to support them in the best possible way.
You work in a team where everyone strives for growth and we push each other to achieve top performance. You have found a team with whom you can grow together.
Sounds almost too good to be true? Then read on – because we are looking for someone like you for our team.
Responsibilities
- You build data infrastructure, integrations, and automations for SPACEDOME - Intelligence. In parallel, you integrate AI into existing marketing workflows, both on the customer side and in our internal processes.
- You develop LLM-based tools and agents, e.g., for media buying, content, and churn prevention.
- You ensure that systems are actually used and deliver direct business impact.
Qualifications
- At least 2 years of practical experience in building automations, integrations, or technical workflows
- You have built systems yourself that ran productively and were used by other people – not just prototypes, tutorials, or side projects tucked away
- Proficient in Python or Node.js:
- You write code that is still maintainable in three months
- Experience with LLM APIs (OpenAI, Anthropic, or similar) and building tools or agents on top of them – including the uncomfortable topics: error cases, costs, quality assurance
- You confidently integrate with external APIs: REST, Webhooks, OAuth, Rate Limits, Pagination, even if the documentation is incomplete
- Experience with data pipelines: merging data from multiple sources, cleaning and modeling it, making it usable for reporting
- You work independently and figure out what needs to be built yourself – nobody will write tickets for you here
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