• Drive Strategy and Roadmap: Own the execution of a unified robotics roadmap, ensuring technical and product alignment across internal Engine, Platforms, Cloud, and AI teams. • Engineering & Cross-Functional Leadership: Cultivate strong relationships with Engineering counterparts to lead product areas hand-in-hand. You will drive feature delivery across disparate teams, clearing roadblocks and aligning priorities. • Data-Driven Decision Making: Lead with an analytics-first mindset. You will use data to validate product-market fit, prioritize the backlog, and measure the success of industrial offerings. • Partnership & Ecosystem Exploration: Lead technical discovery with external partners. You will identify synergies and work closely with Business Development to understand and influence how collaborative contracts and partnerships are structured. • End-to-End Delivery: Act as a hands-on lead from ideation to launch. This includes defining detailed requirements that guide engineering teams and navigating the "Design, Build, Train, Operate, and Monitor" robotics lifecycle. • Executive & Customer Influence: Distill complex technical milestones into clear strategic updates for Unity leadership. You will also manage high-level relationships with key industrial partners to ensure their feedback drives our product evolution.

• Content production: Creation of technically sound content for the educational area of neurorobotics • Content development: Elaborating content based on defined topic clusters, module descriptions and learning elements • Variety of formats and texts: Producing technical and reader texts, video and script content, case studies, practical examples, as well as transfer, reflection, project, portfolio and competency tasks • Thematic collaboration: Contributing content across multiple neurorobotics subject areas, including neurocognition, neural simulation, learning and adaptation mechanisms, reinforcement learning, multi-agent systems, neurorobotics, sensing, robotics and control, computer vision, mobile and humanoid robotics, modeling, optimization, machine learning, embedded and distributed systems, and current research trends in AI, robotics and computer science • Quality assurance: Ensuring technical accuracy, internal consistency and high quality standards • Coordination: Close collaboration with quality assurance and subject matter contacts • Didactic contribution: Actively contributing ideas for structure, narrative flow and pedagogical design of the content • Work approach: Bringing creativity, technical and methodological expertise, attention to detail and a strong quality mindset

• Develop professionally and scientifically grounded content for the educational area of Neurorobotics • Elaborate content based on defined module descriptions, topic clusters, and learning elements • Create technical and reader texts, video scripts, case studies, research examples, as well as transfer, reflection, project, portfolio, and competency tasks • Contribute content across multiple topic areas within Neurorobotics • Ensure technical accuracy, scientific rigor, and high-quality, up-to-date content • Work closely with quality assurance and subject-matter contacts • Actively contribute to the structure, narrative, and didactic design of the materials

• Automation Development: Design, build, maintain and enhance robust, scalable automation solutions using Python, ensuring quality and efficiency in automated processes. • Automation Architecture: Design and define the architecture of automation solutions, ensuring modularity, reusability and software engineering best practices. • Technical Leadership: Lead the automation team, mentor junior and mid-level developers, perform code reviews and promote the technical growth of the team. • Process Modeling in Pipefy: Structure and optimize pipes, phases, forms and native automations within Pipefy, aligning flows with business needs. • Workflow Orchestration in n8n: Develop and manage workflows in n8n, using native nodes, custom nodes and conditional logic to automate end-to-end processes. • Testing: Implement unit, integration and regression tests to ensure quality and stability. • Version Control: Use version control systems such as Git to collaborate with the team and keep a well-organized change history.