Learning Content Engineer developing AI training content at StackFuel. Responsible for creating and coordinating technical educational materials for various AI applications.
Responsibilities
Responsible for designing, creating, and continuously improving AI trainings and learning paths
Didactic preparation of technical AI topics such as workflows & automation (e.g., n8n, Zapier), AI agents, and industry-specific AI use cases
Coordinating and managing internal and external contributors, including briefing, alignment, and quality assurance
Ensuring technical functionality, instructional quality, consistent UX, and compliance with format and branding standards
Analyzing and evolving the training portfolio based on trends, feedback, and new technologies
Delivering knowledge through internal training sessions, documentation, and structured handovers to mentoring and sales teams
Requirements
Degree in a STEM field or equivalent technical qualification
Experience creating and didactically preparing technical learning content, ideally on AI, data, or software topics
Solid knowledge of artificial intelligence (including machine learning, generative AI, AI workflows/model integration, automations, and modern frameworks)
Technical aptitude and willingness to learn quickly to master complex AI topics
Confident use of Git and Markdown (Optional: Python)
Routine use of AI-assisted tools and workflows for content creation (e.g., ChatGPT, Synthesia, HeyGen, scripting and translation tools)
Structured, independent working style, strong user orientation, very good German skills (C2) and good English (at least C1)
Benefits
Professional development: Complete our online trainings to expand your technical skills
Ownership: Take responsibility from day one and actively contribute your own ideas
Work culture: Solution-oriented, data-driven approach, open feedback culture, and strong team spirit
Workation: Up to 10 days per year you can work from anywhere within the EU, EEA, and Turkey
Hybrid work: We work together in the office three days per week
Collaboration space: Regular team exchanges, seasonal celebrations, and a well-stocked kitchen
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