Mobile Developer creating secure login apps using React Native for heylogin. Collaborating with cross - functional teams in a hybrid environment based in Braunschweig, Germany.
About the role
- Learning Product - Portfolio Lead focusing on software engineering training development at StackFuel. Overseeing strategy, quality assurance, and team leadership for technical training programs.
Responsibilities
- Responsibility for the strategy, roadmap and market positioning of the training portfolio in Software Engineering, Cloud and DevOps
- Technical and operational leadership and further development of a team of Learning Content Engineers
- End-to-end management of the design, development, quality assurance and launch of new training programs
- Development of competency models, skill mappings and scalable learning architectures for different target groups and learning paths
- Ensuring subject-matter, instructional and technical quality as well as the economic viability of the portfolio
- Data-driven analysis and continuous optimization of the portfolio based on KPIs, market feedback and technological trends
- Management of resources, budgets and external experts, and the use of AI-supported content production processes to scale
Requirements
- Completed 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 and an understanding of current technology trends
- Several years of experience in developing technical training programs, curricula or learning products, ideally in the tech or EdTech sector
- Experience in portfolio, product or curriculum management including planning, prioritization and managing complex projects
- Experience in leading teams technically 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
- Very strong analytical, organizational and communication skills and very good German (C2) and English (C1) language skills
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 influence on our workflows.
- Work culture: Expect a solution-oriented, data-driven working style, an open feedback culture and a 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.
- Space for exchange: Regular team interactions, seasonal celebrations and a well-stocked kitchen create a lively atmosphere.
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
Application Developer II managing development of full - stack solutions for a distributor. Collaborating with teams on software application development and maintenance across various technologies.
Lead Appian Application Developer collaborating with a team to modernize applications using low - code solutions for customer success at Nüvitek.
Technical Staff designing and optimizing distributed training systems for GPU clusters. Aiming to reduce convergence time through efficient coding and infrastructure optimization.
Member of Technical Staff focused on building LM/VLM - powered agents and generative simulation systems. Collaborating with internal teams and driving innovation in robotics and AI applications.
Member of Technical Staff responsible for data pipelines and infrastructure for robotics AI. Collaborating with a team to standardize and unify data processing workflows at scale.
Member of Technical Staff developing end - to - end Vision - Language - Action models for robotics. Collaborating with robotics teams to curate datasets and improve machine learning models.
Member of Technical Staff focused on building low - latency inference pipelines for robotics. Designing GPU inference systems and optimizing workloads for efficiency and performance.
Member of Technical Staff developing rendering systems for robotics foundation models in Paris. Collaborating with a team to build general - purpose Physical AI.
Member of Technical Staff developing GPU - based simulation pipelines for robotics. Collaborating on essential features to bridge the sim - to - real gap in robotics engineering.