Student Assistant - AI Product Designer

📍 Job Overview

Job Title: Student Assistant - AI Product Designer

Company: ROCKWOOL Group

Location: Hedehusene, Denmark

Job Type: Part-time

Category: AI Product Design & Development (Student Role)

Date Posted: 2026-09-15

Experience Level: Entry-level (Student)

Remote Status: On-site

🚀 Role Summary

• Assist in the design and development of user-friendly, intelligent AI products and interfaces for the AI Center of Excellence (AI CoE).

• Contribute to the deployment of AI chatbots and intelligent agents across various business functions globally.

• Engage in UI/UX design, including wireframing, mockups, and prototyping using industry-standard design tools.

• Develop conversational flows and user journeys for AI-powered assistants, focusing on seamless user experience.

• Execute prompt engineering techniques to optimize AI model outputs and refine chatbot performance.

📝 Enhancement Note: This role is specifically for a student assistant, indicating an entry-level position focused on providing support and gaining practical experience within an AI Center of Excellence. The emphasis on "user-friendly" and "intelligent" AI products, along with specific design and development tasks, positions this as a hands-on role within the GTM and operations support functions, where AI tools are increasingly leveraged.

📈 Primary Responsibilities

• Design intuitive and visually appealing user interfaces (UI) and user experiences (UX) for new and existing AI products.

• Create wireframes, mockups, and high-fidelity prototypes using design tools such as Figma, Adobe XD, and InDesign.

• Develop interactive and clickable prototypes to effectively communicate design concepts and ensure a seamless user journey.

• Build AI chatbots and intelligent agents using no-code platforms, focusing on conversational design and user flow.

• Test and iterate on chatbot responses and AI agent behavior to ensure quality interactions and alignment with business requirements.

• Craft and refine prompts for AI models to optimize outputs for specific business use cases and user needs.

• Document prompt libraries and best practices to support the wider AI CoE team.

• Collaborate with AI/ML team members to test and validate AI model behavior and fine-tune agent performance.

• Support the AI CoE in the ongoing digitalization and automation initiatives across the organization.

📝 Enhancement Note: The responsibilities highlight a blend of creative design and technical execution, typical for roles supporting product development in emerging technology areas. The focus on no-code platforms and prompt engineering suggests a practical, hands-on approach to AI implementation, aimed at making AI accessible and effective within the organization's workflows.

🎓 Skills & Qualifications

Education: Currently enrolled in a Bachelor’s or Master’s program with at least one year remaining, in a relevant field such as Information Systems, Design Thinking, UI/UX Design, Computer Science, or a related discipline.

Experience: Demonstrated experience through previous student jobs, internships, or university projects in UI/UX design, product design, or AI product development.

Required Skills:

• Proficiency in design tools such as Figma, Adobe XD, and/or InDesign.

• Ability to create wireframes, mockups, and high-fidelity prototypes.

• Experience in developing conversational flows and user journeys for digital products.

• Familiarity with building AI chatbots or intelligent agents, preferably using no-code platforms.

• Basic understanding of prompt engineering principles and their application in AI model interaction.

• Strong written and verbal communication skills in English.

• A proactive, curious, and collaborative mindset, with a willingness to challenge the status quo.

• Ability to demonstrate a portfolio showcasing design work from previous projects. Preferred Skills:

• Experience with data automation concepts and tools.

• Familiarity with AI/ML concepts and their practical application.

• Understanding of Design Thinking methodologies.

• Exposure to Information Systems principles.

• Previous experience in a corporate or R&D environment.

📝 Enhancement Note: The emphasis on a portfolio and specific design tool proficiency indicates a practical assessment of skills. The encouragement to apply even if not all criteria are met suggests a focus on potential, enthusiasm, and a willingness to learn within the AI domain.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• A curated portfolio showcasing at least 2-3 design projects, demonstrating UI/UX design skills.

• Examples of wireframes, mockups, and high-fidelity prototypes for digital products.

• Documentation or examples of conversational flows designed for chatbots or virtual assistants.

• Any projects involving no-code platform development or AI configuration.

• Clear articulation of your role and contributions within each project. Process Documentation:

• Ability to document prompt engineering techniques and best practices for AI model optimization.

• Capacity to design and map out user journeys for AI-powered agents.

• Willingness to contribute to the documentation of AI product features and user guides.

• Understanding of iterative design processes for refining AI product user experience.

📝 Enhancement Note: The portfolio requirements are crucial for this role, underscoring the practical nature of the student assistant position. Candidates are expected to visually demonstrate their design capabilities and any prior experience with AI-related tools or concepts.

💵 Compensation & Benefits

Salary Range:

• Bachelor Students: 160 DKK per hour

• Master Students: 175 DKK per hour Benefits:

• Transportation allowance: 1000 DKK per month

• Health insurance

• Christmas gift

• On-site Fitness center

• Canteen with affordable meal options (takeaway available)

• Complimentary fruit, coffee, and tea

• Access to various social societies and activities (e.g., RockSocial, Sport Society, Art Society)

Working Hours: Part-time, with an expected 40-hour work week, adaptable to student schedules where feasible.

📝 Enhancement Note: The hourly rates are competitive for student positions in Denmark, with a clear differentiation between Bachelor's and Master's students. The comprehensive benefits package, including health insurance, a transportation allowance, and on-site amenities, indicates a supportive work environment and a commitment to employee well-being. The mention of a 40-hour work week for a part-time role suggests flexibility in scheduling is expected.

🎯 Team & Company Context

🏢 Company Culture

Industry: Building Materials (Stone Wool Solutions)

Company Size: ROCKWOOL Group employs over 12,000+ colleagues worldwide, indicating a large, global organization with significant operational scale.

Founded: Founded in 1937, ROCKWOOL has a long history, suggesting stability, established processes, and a deep understanding of its market.

Team Structure:

• The role is within the AI Center of Excellence (AI CoE), a recently formed or growing function focused on digitalization and automation.

• This team likely comprises AI/ML specialists, data scientists, product managers, and now, design-focused student assistants.

• Collaboration is expected across various departments, including manufacturing, operations, finance, and marketing, to deploy AI solutions. Methodology:

• The AI CoE is embarking on a journey to leverage digitalization, automation, and data analytics.

• Emphasis is placed on developing AI products that are usable and seamlessly integrate into existing workflows.

• A data-driven approach to AI development and deployment is implied.

Company Website: https://www.rockwool.com/

📝 Enhancement Note: The company's long history in the building materials sector, combined with its current focus on AI and digitalization, presents an interesting dynamic. The AI CoE's mission to integrate AI across such a large, established organization suggests a significant opportunity for impact and learning in a traditional industry undergoing technological transformation.

📈 Career & Growth Analysis

Operations Career Level: This is an entry-level student assistant role, providing foundational experience in AI product design and development within a corporate setting. It's an excellent stepping stone for students interested in AI, product design, or technology roles.

Reporting Structure: The student assistant will report to Shabab Akhter, Manager of the AI CoE, and will likely work closely with other members of the AI CoE team.

Operations Impact: While a student role, the work directly supports the AI CoE's mission to make AI products usable and impactful across ROCKWOOL's global operations. Contributions to UI/UX and chatbot design will influence how thousands of employees interact with AI tools, potentially improving efficiency and user experience in core business functions.

Growth Opportunities:

• Gain hands-on experience with cutting-edge AI products and technologies.

• Receive mentorship from experienced professionals within the AI CoE.

• Develop a strong portfolio of real-world AI design and development projects.

• Learn about prompt engineering, conversational AI, and no-code development platforms.

• Expand professional network within a global organization.

• Potential for future internships or full-time roles within ROCKWOOL's technology or operations departments.

📝 Enhancement Note: The growth opportunities are framed around practical skill development and portfolio building, which are highly valuable for students. The mentorship aspect is a key differentiator, offering structured guidance from industry professionals.

🌐 Work Environment

Office Type: On-site at ROCKWOOL HQ in Hedehusene, Denmark. This implies a professional office environment with potential for in-person collaboration.

Office Location(s): Hedehusene, Denmark, is the primary work location. ROCKWOOL has a global presence, but this specific role is based at their headquarters.

Workspace Context:

• The AI CoE is described as dynamic and innovative, suggesting a modern and collaborative workspace.

• As part of a large global company, access to resources and professional facilities is likely.

• The environment encourages creativity and professional growth, fostering an inclusive atmosphere.

• Employees have access to an on-site fitness center and a subsidized canteen, promoting a healthy work-life balance.

Work Schedule: Part-time, with the expectation of approximately 40 hours per week. Flexibility may be available to accommodate academic schedules, but the on-site requirement means consistent presence is expected.

📝 Enhancement Note: The on-site requirement suggests a preference for direct collaboration and team integration, which is often beneficial for learning and mentorship, especially in a student role. The amenities provided enhance the overall employee experience.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Application: Submit application with resume and a brief statement about your studies and key learnings.

• Portfolio Review: Candidates will be evaluated based on their design portfolio, showcasing relevant UI/UX and AI product design work.

• Interviews: Likely includes interviews with the Hiring Manager (Shabab Akhter) and potentially other members of the AI CoE team. These will assess technical skills, design thinking, problem-solving abilities, and cultural fit.

• Potential Task/Challenge: A small design or prompt engineering task might be given to assess practical skills.

Portfolio Review Tips:

• Curate Selectively: Choose your strongest, most relevant projects. For this role, prioritize UI/UX for digital products, chatbot interfaces, or any AI-related projects.

• Tell a Story: For each project, clearly articulate the problem, your role, the design process, the tools used, and the outcome or impact. Use the STAR method (Situation, Task, Action, Result).

• Highlight Relevance: Explicitly connect your portfolio pieces to the responsibilities listed in the job description (e.g., "This chatbot interface project demonstrates my ability to design conversational flows...").

• Showcase Design Tools: Ensure your proficiency with Figma, Adobe XD, or InDesign is evident in your work samples.

• Clarity and Polish: Ensure your portfolio is well-organized, visually appealing, and easy to navigate.

Challenge Preparation:

• Prompt Engineering Practice: Familiarize yourself with basic prompt structures and how to refine them for better AI responses. Experiment with tools like ChatGPT or other accessible AI models.

• Design Fundamentals: Refresh your knowledge of UI/UX principles, wireframing, and prototyping. Be ready to discuss your design choices and rationale.

• AI Product Concepts: Understand the basic applications of AI in business, such as chatbots for customer service or internal support, and how user experience is critical.

• Company Research: Understand ROCKWOOL's business and how AI could support their operations.

📝 Enhancement Note: The application process emphasizes practical demonstration of skills through a portfolio. Candidates should prepare to not only show their work but also articulate the strategic thinking and design process behind it.

🛠 Tools & Technology Stack

Primary Tools:

• Design Software: Figma, Adobe XD, InDesign (required proficiency in at least one).

• Prototyping Tools: Built-in features of Figma/Adobe XD, or dedicated tools for interactive prototypes.

• AI Chatbot/Agent Platforms: No-code platforms (specific platforms may vary, but familiarity with the concept is key).

• Prompt Engineering: Various large language models (LLMs) and AI platforms where prompt refinement is possible.

Analytics & Reporting:

• While not explicitly mentioned as a primary responsibility for this student role, an understanding of how design impacts user engagement metrics would be beneficial. CRM & Automation:

• Familiarity with how AI tools can integrate with or automate processes within CRM or other business systems is a plus.

📝 Enhancement Note: The core technical requirements revolve around design software and the conceptual understanding of AI tools, particularly no-code platforms and prompt engineering. Proficiency in Figma is often a strong indicator of modern UI/UX design skills.

👥 Team Culture & Values

Operations Values:

• Ambition: Drive to achieve goals and contribute to the success of AI initiatives.

• Responsibility: Taking ownership of tasks and delivering quality work.

• Integrity: Upholding ethical standards in design and development.

• Efficiency: Seeking streamlined processes and effective solutions, particularly in AI deployment.

• Curiosity: A strong desire to learn and explore new technologies and design approaches.

• Diverse Thinking: Contributing unique perspectives and challenging the status quo.

Collaboration Style:

• The AI CoE fosters a collaborative environment, encouraging knowledge sharing among team members.

• Cross-functional collaboration is essential for deploying AI solutions across different business units.

• Open communication and a willingness to receive and give feedback are likely valued.

📝 Enhancement Note: The "ROCKWOOL Way" values (ambition, responsibility, integrity, efficiency) are foundational. For this role, curiosity, diverse thinking, and a collaborative spirit are highlighted as key personal attributes, reflecting the innovative nature of the AI CoE.

⚡ Challenges & Growth Opportunities

Challenges:

• Bridging Design and AI: Effectively translating complex AI capabilities into intuitive user interfaces and conversational experiences.

• Rapidly Evolving Technology: Staying abreast of the fast-paced advancements in AI, design tools, and prompt engineering techniques.

• Integration into Legacy Systems: Assisting in deploying AI solutions that need to seamlessly fit into established workflows within a large, traditional organization.

• Balancing Academics and Work: Managing a part-time role alongside demanding university studies.

Learning & Development Opportunities:

• Hands-on AI Product Design: Gaining practical experience in designing and developing AI-powered products.

• Mentorship: Direct guidance from experienced professionals in the AI field.

• Portfolio Enhancement: Building a robust portfolio with real-world project experience.

• Exposure to No-Code & Prompt Engineering: Developing specialized skills in emerging AI implementation methods.

• Cross-functional Exposure: Understanding how AI impacts various business functions within a global corporation.

📝 Enhancement Note: The challenges presented are typical for roles in emerging technology fields, especially for students. The growth opportunities directly address how the role provides a platform to overcome these challenges and build valuable career assets.

💡 Interview Preparation

Strategy Questions:

• "Describe a project from your portfolio where you designed a user interface. What was the problem, your approach, and the outcome?" (Focus on UI/UX process, problem-solving)

• "How would you design a conversational flow for an AI chatbot that helps employees find IT support?" (Assesses conversational design thinking)

• "Imagine you need to prompt an AI to summarize a long document for a specific business purpose. What steps would you take to craft an effective prompt?" (Tests prompt engineering understanding)

• "Why are you interested in AI product design, and what makes you a good fit for this student assistant role at ROCKWOOL?" (Evaluates motivation and alignment) Company & Culture Questions:

• "What do you know about ROCKWOOL and its industry?" (Demonstrates research and interest)

• "How do you approach collaboration, especially in a remote or hybrid team environment?" (Assesses teamwork and communication)

• "Describe a time you had to challenge the status quo or propose a new idea." (Evaluates initiative and innovative thinking) Portfolio Presentation Strategy:

• Structure: Organize your presentation logically: Introduction, Problem Statement, Your Role, Design Process (Ideation, Wireframing, Prototyping), Tools Used, Outcome/Impact, Key Learnings.

• Visuals: Use high-quality screenshots or live demos of your work. Ensure clarity and readability.

• Conciseness: Focus on the most impactful projects and be ready to elaborate. Aim for a presentation that fits within the allotted interview time.

• Engagement: Be prepared to answer questions about your design choices and trade-offs. Engage with the interviewer by asking clarifying questions.

📝 Enhancement Note: Interview preparation should heavily focus on showcasing the candidate's practical design skills, their understanding of AI product concepts, and their ability to articulate their thought process clearly and concisely.

📌 Application Steps

To apply for this operations support position:

• Submit your application through the provided link on the Workday job portal.

• Curate and Polish Your Portfolio: Select your strongest design projects that align with UI/UX, conversational design, or AI product development. Ensure it's well-organized and visually appealing.

• Tailor Your Resume: Highlight relevant academic projects, skills (Figma, Adobe XD, etc.), and any prior work experience, emphasizing achievements and responsibilities related to design and technology.

• Craft Your Statement: Write a concise statement addressing your current program, key learnings from your studies, and what makes you a unique contributor to the AI CoE.

• Prepare for Portfolio Presentation: Practice walking through your portfolio, clearly explaining your design process, challenges, and outcomes for each selected project.

• Research ROCKWOOL: Understand the company's mission, industry, and recent initiatives in AI and digitalization to demonstrate genuine interest.

⚠️ Important Notice: This enhanced job description includes AI-generated insights and operations industry-standard assumptions. All details should be verified directly with the hiring organization before making application decisions.

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