Portfolio Lead – Learning Content Engineering

🕒 June 4

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StackFuel

WebsiteLinkedInAll Job Openings

51 - 200 employees

StackFuel ist Deutschlands Online-Weiterbildungspartner für Daten- und KI-Skills.

📋 Description

• Responsible for the strategy, roadmap, and market positioning of the training portfolio in Software Engineering, Cloud, and DevOps • Provide technical and operational leadership and further develop a team of Learning Content Engineers • Manage end-to-end design, development, quality assurance, and launch of new training programs • Develop competency models, skill mappings, and scalable training architectures for different target audiences and learning paths • Ensure subject-matter, instructional, and technical quality as well as the economic viability of the portfolio • Perform data-driven analysis and continuously optimize the portfolio based on KPIs, market feedback, and technology trends • Manage resources and budgets, coordinate external experts, and leverage AI-assisted content production processes to scale

🎯 Requirements

• Degree in a STEM field (e.g., Computer Science, Data Science, Engineering) or equivalent qualification • Deep subject-matter expertise in Software Engineering, Cloud, and/or DevOps, with an understanding of current technology trends • Several years of experience developing technical training programs, curricula, or learning products, ideally in a tech or EdTech environment • Experience in portfolio, product, or curriculum management, including planning, prioritization, and oversight of complex projects • Experience providing technical leadership of teams or managing external experts and stakeholders • Technical affinity and experience with modern tools and workflows, e.g., learning platforms, Git, or AI-supported content production processes • Strong analytical, organizational, and communication skills, with excellent German (C2) and English (C1) language proficiency

🏖️ Benefits

• Professional development: Complete our online trainings to expand your technical skills and develop into an expert in data and AI. • Ownership: Take responsibility from day one, actively contribute your own ideas, shape processes sustainably, and have a significant impact on our operations. • Work culture: Expect a solution-oriented, data-driven approach, an open feedback culture, and strong team spirit. • Workation: Work from anywhere within the EU, the EEA, and Turkey for up to 10 days per year. • Hybrid work: We operate a hybrid model and are typically on-site at our Berlin office three days per week. • Opportunities for interaction: Regular team exchanges, seasonal celebrations, and a well-stocked kitchen foster a lively community.