Senior Product Designer

📍 Job Overview

Job Title: Senior Product Designer

Company: GLS/NXT

Location: Berlin, Germany

Job Type: FULL_TIME

Category: Product Design / Operations Technology

Date Posted: August 12, 2026

Experience Level: Mid-Senior Level (4+ years)

Remote Status: Hybrid

🚀 Role Summary

• Lead the end-to-end product design lifecycle for critical operational platforms, including the Out-of-Home Portal and data intelligence surfaces, ensuring a direct impact on network performance and optimization decisions.

• Act as a strategic design partner, collaborating closely with Product Leadership to shape product direction, roadmap, and prioritization for the Out-of-Home domain.

• Translate complex operational workflows and dense data into intuitive, user-centered experiences, focusing on information architecture, interaction design, and visual craft.

• Drive product discovery through extensive user research with operational teams across diverse markets, leveraging qualitative, quantitative, and behavioral data to inform design strategy and measure impact.

• Integrate AI-powered tools into the design process for high-quality prototyping, exploration, and validation, while also contributing to the development and maintenance of a multi-platform design system.

📝 Enhancement Note: This role is positioned within a Product Design team that operates with a high degree of autonomy and ownership, akin to a startup within a larger corporate structure. The "Out-of-Home domain" specifically refers to the operational technology managing GLS Group's network of lockers and parcel shops across Europe, implying a need for deep understanding of logistics operations, supply chain efficiency, and data-driven decision-making within a physical network. The emphasis on "design partner" and "shaping product direction" indicates a strategic influence beyond traditional design execution.

📈 Primary Responsibilities

• Spearhead the complete design process for the Out-of-Home Portal and associated data intelligence platforms, from initial problem framing and user discovery through to post-launch iterative improvements and performance analysis.

• Collaborate with Product Leadership to define and refine the product vision, strategic roadmap, and feature prioritization for the Out-of-Home domain, ensuring design considerations are central to business objectives.

• Architect and design complex information architectures, intricate user flows, and sophisticated interaction models for operational teams, transforming dense business logic and data into clear, efficient, and visually appealing user interfaces.

• Conduct in-depth user research, including field studies and interviews with operational staff across various markets and roles, to gather insights that drive product strategy and validate design decisions with both qualitative and quantitative evidence.

• Utilize AI tools for rapid exploration, synthesis, copy generation, and the creation of high-fidelity prototypes to test and validate design concepts with users and engineering teams prior to development.

• Contribute to the evolution and expansion of the company's multi-platform design system, ensuring consistency, scalability, and efficiency across all products by developing and maintaining reusable components.

• Articulate and present design rationales, user insights, and proposed solutions effectively to cross-functional stakeholders, including product managers, engineers, operations leadership, and executive management.

📝 Enhancement Note: The responsibilities highlight a significant degree of autonomy and strategic input expected from the Senior Product Designer. The focus on "complex operational flows and business logic" and designing for "operational teams who run the network" suggests a need for understanding the practicalities and challenges of logistics operations. The mention of "data intelligence layer" points towards a role involving the design of dashboards, analytics tools, and systems that support optimization and forecasting.

🎓 Skills & Qualifications

Education: [While no specific degree is mandated, a Bachelor's or Master's degree in Design, HCI, Computer Science, or a related field is often preferred for Senior Product Designer roles. Equivalent practical experience will be strongly considered.]

Experience: A minimum of 4 years of professional experience in designing complex software products, with a proven track record in data-heavy, workflow-driven applications for professional users, ideally with exposure to multi-market or multi-user group environments.

Required Skills:

• End-to-end product design leadership for complex software applications.

• Expertise in information architecture, defining structures and systems that scale.

• Strong visual design craft, including composition, typography, layout, and the ability to create calm, organized interfaces from dense information.

• Comprehensive user research methodologies, including user interviews, field studies, and usability testing, with the ability to synthesize findings into actionable design decisions.

• Proficiency in creating high-quality prototypes using AI tools and/or code-based prototyping (e.g., front-end frameworks).

• Proven ability to collaborate closely and effectively with engineering teams, understanding and discussing technical tradeoffs and platform constraints.

• Pragmatic and entrepreneurial mindset, capable of making sensible tradeoffs between design craft and delivery timelines, taking initiative, and prioritizing practical application over theoretical perfection.

• Systems thinking: ability to identify patterns within complex domains and design scalable structures. Preferred Skills:

• Experience designing for logistics, supply chain, or operational management platforms.

• Familiarity with AI-assisted coding tools and front-end development frameworks for prototyping.

• Experience contributing to or leading the development of multi-platform design systems.

• Familiarity with data visualization best practices and designing for data intelligence surfaces.

• Experience working in a hybrid or agile development environment.

• Understanding of how AI tools can transform design team workflows.

📝 Enhancement Note: The requirement for "prototyping in code" and "AI-assisted coding tools" alongside "front-end frameworks" indicates a strong preference for designers who can bridge the gap between design and development, potentially reducing reliance on dedicated front-end developers for early-stage prototypes. The emphasis on "pragmatic and entrepreneurial" suggests a culture that values initiative, speed, and learning from real-world application.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• A comprehensive portfolio showcasing end-to-end product design ownership, detailing the journey from ambiguous problem definition to realized solutions.

• Demonstrations of strong systems thinking and information architecture, illustrating how complex domains were structured and how designs scale.

• Examples of high-fidelity visual craft, presenting well-composed, typographically sound, and layout-disciplined interfaces for dense information.

• Case studies detailing user research processes, synthesis of insights, and how these informed design decisions and impacted product outcomes.

• Evidence of close collaboration with engineering teams, including examples of technical tradeoff discussions and solutions developed within platform constraints.

• Specific examples illustrating the use of AI in the design process, from synthesis and exploration to prototyping and validation.

• Prototypes built in code or with AI-assisted tools, showcasing realistic data integration and interaction. Process Documentation:

• Workflow design and optimization: Showcase how complex operational flows were analyzed, simplified, and redesigned for efficiency and usability.

• System implementation standards: Illustrate contributions to design systems, component development, and ensuring design consistency across platforms.

• Measurement and performance analysis: Provide examples of how design decisions were validated with data (qualitative and quantitative) and how their impact was measured post-launch.

📝 Enhancement Note: The portfolio requirements are heavily geared towards demonstrating a strategic and hands-on approach to designing complex, data-intensive operational software. The explicit mention of "AI shows up in your process" and "prototype in code" elevates these as critical components for showcasing a candidate's modern design capabilities and adaptability.

💵 Compensation & Benefits

Salary Range: Based on industry benchmarks for Senior Product Designers in Berlin, Germany, with 4+ years of experience in complex software and a strong portfolio, the estimated salary range is €65,000 - €85,000 annually. This range accounts for the role's seniority, specialized skill set (including AI and code prototyping), and the company's strategic positioning within the logistics sector.

Benefits:

• Flexible work conditions: Hybrid working model with a tailored remote policy to support work-life balance.

• Focus on learning: A personal budget of €1,000 for continuous professional development, training, and learning initiatives.

• Physical space for ideas: A high-quality office space located in Berlin Mitte, equipped with top-tier professional equipment.

• Transparent and competitive compensation: A salary package designed to reflect expertise and experience, complemented by a bonus system.

• Active participation: A clear bonus system that allows for participation in individual and team performance achievements.

• Engaging team culture: Regular team-building activities including monthly team cooking, events, and offsites to foster strong team cohesion.

• Generous vacation policy: 30 days of annual holiday leave to ensure adequate rest and rejuvenation.

• Reward system: Incentives for successful recommendations of additional team members.

• Dynamic workplace: An international project environment with opportunities for learning and significant professional growth.

Working Hours: The standard working hours are based on a 40-hour work week, with flexibility afforded by the hybrid working model.

📝 Enhancement Note: The salary estimate is derived from data points for similar Senior Product Designer roles in Berlin, considering the specific requirements for complex software design, data intelligence, and AI/code prototyping, as well as the company's stated commitment to competitive compensation. The benefits package emphasizes professional development, work-life balance, and team engagement, which are attractive to experienced designers.

🎯 Team & Company Context

🏢 Company Culture

Industry: Logistics & Technology / eCommerce. GLS/NXT operates at the intersection of traditional logistics and cutting-edge technology, focusing on building the next generation of logistics experiences. This dual focus means a culture that values both operational efficiency and technological innovation.

Company Size: GLS/NXT operates as a collection of project teams acting like startups within the larger GLS IT Services GmbH. This "startup speed and corporate muscle" model suggests a dynamic environment with the agility of a startup but the resources and stability of a corporate entity.

Founded: GLS/NXT's founding mission is to build next-generation logistics experiences driven by technology. While a specific founding date for GLS/NXT isn't provided, its parent company, GLS IT Services GmbH, has a longer history, implying a blend of established industry knowledge and innovative new ventures.

Team Structure:

• The Product Design team is described as "small, high-impact," indicating a close-knit group where individual contributions are highly visible and valued.

• Designers are assigned ownership of specific "domains" end-to-end, suggesting a decentralized structure where designers act as primary design partners for product areas.

• The Out-of-Home domain team will include Product Leadership, suggesting a collaborative leadership structure between design and product management.

• Cross-functional collaboration is expected with Product, Engineering, and Operations teams, typical for agile development environments. Methodology:

• Data-driven Product Development: Emphasis on using qualitative, quantitative, and behavioral evidence to inform decisions and measure impact.

• Agile & Iterative Design: A focus on shipping practical solutions, learning from real-world application, and iterating post-launch.

• AI Integration: Encouragement to leverage AI tools throughout the design process for efficiency and exploration.

• Design System Utilization: Commitment to building and maintaining a scalable design system for consistency and efficiency.

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

📝 Enhancement Note: The company culture is characterized by a unique hybrid model: startup agility combined with corporate backing. This suggests an environment where designers can have significant impact and ownership, but also benefit from established processes and resources. The focus on "entrepreneurs" and "user's needs" indicates a user-centric approach driven by innovation.

📈 Career & Growth Analysis

Operations Career Level: This role is a Senior Product Designer, placing it at a mid-to-senior level within the design discipline. It signifies a transition from primarily executing design tasks to leading design initiatives, shaping product strategy, and mentoring junior team members. The "end-to-end ownership" and "design partner" aspects mean significant responsibility for a core business domain.

Reporting Structure: The Senior Product Designer will report to the Head of Product Design or a Design Lead within the Product Design team. They will work closely with Product Leadership for the Out-of-Home domain, indicating a matrixed reporting or strong collaborative relationship. Direct reports are unlikely at this level unless specified.

Operations Impact: The role has a direct and measurable impact on the operational efficiency and performance of GLS Group's European network of lockers and parcel shops. By designing intuitive interfaces for operational teams and data intelligence surfaces, the designer will influence decisions related to network management, forecasting, and optimization, thereby impacting cost savings, service quality, and overall business performance.

Growth Opportunities:

• Leadership in Design: Potential to grow into a Lead Product Designer role, managing a domain or a team, and further shaping the design strategy for GLS/NXT.

• Specialization: Deepen expertise in logistics technology, data intelligence design, or advanced prototyping techniques (AI, code).

• Cross-functional Influence: Expand influence across different product domains within GLS/NXT or the broader GLS Group.

• Mentorship: Opportunity to mentor junior designers and contribute to the overall growth of the design practice.

• Innovation: Contribute to shaping new logistics experiences and leveraging emerging technologies like AI within a corporate innovation hub.

📝 Enhancement Note: The growth path for a Senior Product Designer at GLS/NXT appears to lean towards increased strategic influence, domain expertise, and potentially leadership within the design function, leveraging the unique "startup within a corporation" model. The emphasis on AI and code-based prototyping suggests that continuous learning and adaptation in these areas will be key to career progression.

🌐 Work Environment

Office Type: The role is based in Berlin, Germany, with a hybrid working mode. This implies a blend of in-office collaboration and remote flexibility. The office is described as a "great office space in Berlin Mitte with top-tier equipment," suggesting a modern, well-equipped, and potentially collaborative workspace.

Office Location(s): The primary office location is Berlin Mitte, Germany. This area is known for its vibrant tech scene and accessibility.

Workspace Context:

• Collaborative Environment: The hybrid model and emphasis on team events suggest opportunities for in-person collaboration, brainstorming, and knowledge sharing within the design team and with cross-functional partners.

• Operations Tools & Technology: Employees will have access to top-tier equipment. The role specifically calls for proficiency with AI tools, design systems, and potentially front-end development environments, indicating a tech-forward workspace.

• Team Interaction: Regular team cooking, events, and offsites are designed to foster strong team cohesion and informal interaction, crucial for a small, high-impact team.

Work Schedule: The standard work week is 40 hours. The hybrid arrangement offers flexibility in balancing in-office and remote work, allowing for focused individual work and collaborative sessions as needed, which is beneficial for complex design tasks and data analysis.

📝 Enhancement Note: The work environment at GLS/NXT in Berlin Mitte is designed to foster both focused individual work and strong team collaboration. The hybrid model and emphasis on team events aim to balance flexibility with the benefits of in-person interaction, which is particularly valuable for complex design challenges and building strong cross-functional relationships.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A review of your application, CV, and portfolio to assess experience, skills, and alignment with the role's requirements, particularly the demonstration of AI usage and code prototyping.

• Portfolio Presentation & Discussion: An in-depth session where you present your portfolio, focusing on specific case studies that highlight your approach to complex problems, systems thinking, research, and the integration of AI. Expect questions about your design process, decision-making rationale, and how you measure impact.

• Cross-functional Interviews: Meetings with Product Leadership, Engineering leads, and potentially operations stakeholders to assess collaboration style, technical understanding, and fit within the broader team dynamic.

• Design Challenge/Workshop (Potential): A practical exercise or workshop to evaluate your problem-solving skills, design thinking, and ability to articulate solutions within a defined scope, possibly involving elements of AI integration or data interpretation.

• Final Interview: A discussion with senior leadership to assess overall fit, strategic thinking, and long-term potential.

Portfolio Review Tips:

• Highlight AI Integration: Clearly showcase how you've used AI tools for synthesis, exploration, prototyping, or content generation, explaining the benefits and any limitations.

• Demonstrate Code Prototyping: Include examples of prototypes built using code, front-end frameworks, or AI-assisted coding tools. Explain the technical stack and the value this approach brought.

• Emphasize Systems Thinking: Use case studies to illustrate your ability to design scalable information architectures and complex systems that can grow over time.

• Quantify Impact: For each case study, clearly articulate the problem, your solution, and the measurable impact (e.g., improved efficiency, reduced errors, increased user satisfaction) using data where possible.

• Showcase Collaboration: Describe your interactions with engineering and product teams, highlighting how you navigated technical tradeoffs and ensured successful implementation.

• Tell a Story: Structure your case studies as narratives, clearly outlining the challenge, your process, your decisions, and the outcome.

Challenge Preparation:

• Understand the Domain: Familiarize yourself with logistics operations, parcel shop/locker networks, and the types of data/workflows involved.

• Practice Problem Framing: Be prepared to dissect ambiguous problems and define clear objectives and success metrics.

• Articulate Design Rationale: Practice explaining why you made specific design decisions, referencing user research, data, and design principles.

• Prepare for Technical Discussions: Be ready to discuss technical constraints and possibilities with engineers, especially concerning prototyping and integration.

📝 Enhancement Note: The application process places significant emphasis on the portfolio as a demonstration of practical skills, particularly in advanced areas like AI integration and code prototyping. Candidates should be prepared to articulate their process and justify their decisions rigorously, linking them to tangible business outcomes.

🛠 Tools & Technology Stack

Primary Tools:

• Design & Prototyping: Figma, Sketch, Adobe Creative Suite (for exploration/asset creation).

• AI-Powered Design Tools: Tools for AI-assisted synthesis, exploration, content generation, and rapid prototyping (specific tools may vary, but a proactive approach to AI is key).

• Code-Based Prototyping: Familiarity with front-end frameworks (e.g., React, Vue.js, Angular) and potentially AI-assisted coding tools for creating functional prototypes.

Analytics & Reporting:

• Data Analysis Tools: Experience with tools for analyzing user behavior, operational data, and performance metrics (e.g., Google Analytics, Amplitude, Tableau, Power BI, or custom internal dashboards).

• Data Intelligence Surfaces: Designing interfaces for complex data visualization, reporting, and analytical dashboards.

CRM & Automation:

• CRM Systems (Conceptual Understanding): While not a direct CRM role, understanding how customer and operational data is managed in systems like Salesforce or similar platforms is beneficial for context.

• Workflow Automation (Conceptual Understanding): Awareness of how design impacts and can be integrated with workflow automation tools used in operations.

• Design Systems: Tools for managing and contributing to design systems (e.g., Zeroheight, Storybook, internal component libraries).

📝 Enhancement Note: The technology stack emphasizes modern design tools, a strong integration of AI, and the ability to prototype in code. Proficiency in data analysis and visualization tool concepts is also crucial, given the data-heavy nature of the role and the focus on operational intelligence.

👥 Team Culture & Values

Operations Values:

• User-Centricity: A deep commitment to understanding and serving the needs of operational teams who rely on these platforms daily.

• Data-Driven Decisions: A culture that prioritizes evidence-based decision-making, using data to validate hypotheses and measure impact.

• Efficiency & Optimization: A constant drive to improve processes, streamline workflows, and enhance the performance of the logistics network.

• Innovation & Experimentation: An entrepreneurial spirit that encourages exploring new technologies (like AI) and innovative solutions to complex problems.

• Collaboration & Transparency: Open communication and shared ownership across product, design, and engineering to achieve common goals.

Collaboration Style:

• Cross-functional Partnership: Close working relationships with Product Management and Engineering to ensure seamless integration of design into the development lifecycle.

• Proactive Communication: Regular updates and feedback loops with stakeholders, including operations leadership, to ensure alignment and gather continuous input.

• Shared Ownership: A collective responsibility for product success, where design is seen as a strategic partner rather than just an execution function.

• Constructive Feedback: An environment where constructive feedback is welcomed and utilized for continuous improvement of both products and team processes.

📝 Enhancement Note: The team culture values a blend of entrepreneurial drive, data-informed decision-making, and strong collaborative partnerships. The emphasis on efficiency and optimization aligns perfectly with the nature of designing for operational systems, while the embrace of AI and innovation signals a forward-thinking approach.

⚡ Challenges & Growth Opportunities

Challenges:

• Complexity of Operational Workflows: Designing for intricate, often legacy, operational processes across a large, multi-market network requires significant analytical skill and deep user empathy.

• Balancing Craft with Speed: The "startup speed" aspect means making pragmatic tradeoffs between achieving perfect design craft and delivering functional solutions quickly to meet business needs.

• Integrating AI Effectively: Determining the optimal points for AI integration in the design process and ensuring its responsible and effective use, while managing user expectations.

• Data Density and Visualization: Translating vast amounts of operational and performance data into clear, actionable insights for users through intuitive interfaces.

• Cross-Market Nuances: Designing solutions that are adaptable and effective across diverse operational environments and user groups within Europe.

Learning & Development Opportunities:

• Advanced AI in Design: Deepen expertise in leveraging AI for design exploration, prototyping, and workflow enhancement.

• Logistics Technology Specialization: Become a subject matter expert in the design of operational technology for the logistics and supply chain sector.

• Code-Based Prototyping Mastery: Enhance skills in front-end development and AI-assisted coding for rapid, high-fidelity prototyping.

• Product Strategy Influence: Develop skills in shaping product roadmaps and strategic direction for a critical business domain.

• Design System Leadership: Contribute to the growth and governance of a multi-platform design system.

📝 Enhancement Note: The challenges presented are typical for senior roles in innovative tech companies operating within complex industries. The growth opportunities are directly linked to tackling these challenges, fostering specialization, and developing strategic leadership within the design function.

💡 Interview Preparation

Strategy Questions:

• "Describe a time you took an ambiguous problem in a complex domain and turned it into a clear design solution. What was your process, how did you use data, and what was the outcome?" (Focus on problem framing, research, systems thinking, and impact measurement.)

• "How do you approach shaping product direction and roadmap as a design partner? Can you give an example of when you influenced product strategy?" (Highlight collaboration with Product Leadership, strategic thinking, and ability to advocate for user needs.)

• "Walk us through a complex operational workflow you've designed. How did you simplify it, and what were the key interaction design and information architecture decisions you made?" (Demonstrate understanding of operational complexity and ability to translate it into user-friendly design.) Company & Culture Questions:

• "What interests you about designing for the logistics industry, specifically for operational teams managing physical networks like lockers and parcel shops?" (Show genuine interest and understanding of the domain.)

• "How do you see AI impacting the future of product design, and how would you integrate it into the design process for this role?" (Demonstrate forward-thinking and practical application of AI.)

• "Describe your experience working in a hybrid environment or a 'startup within a corporation' model. How do you ensure effective collaboration and communication?" (Highlight adaptability and collaboration skills.) Portfolio Presentation Strategy:

• Structure Your Narrative: For each case study, clearly define the problem, your role, your process, key decisions (especially AI usage and code prototyping), challenges, and measurable outcomes.

• Show, Don't Just Tell: Use visuals effectively – wireframes, user flows, high-fidelity mockups, interactive prototypes, and screenshots of AI-generated elements or code prototypes.

• Quantify Your Impact: Be ready to discuss metrics, user feedback, and business results that your designs contributed to.

• Be Ready for Deep Dives: Expect detailed questions about your rationale, technical considerations, and how you handled specific design challenges.

• Highlight AI & Code: Dedicate specific segments to showcase your AI integration and code prototyping work, explaining the tools, processes, and benefits.

📝 Enhancement Note: Interview preparation should focus on demonstrating a strategic, data-driven, and technically adept approach to product design, with a particular emphasis on AI and code-based prototyping, as well as a clear understanding of operational environments.

📌 Application Steps

To apply for this Senior Product Designer position:

• Submit your application through the provided link on join.com.

• Curate Your Portfolio: Select 2-3 of your strongest case studies that best demonstrate your end-to-end design process, systems thinking, visual craft, and crucially, your experience with AI integration and code-based prototyping. Ensure each case study tells a clear story with measurable outcomes.

• Optimize Your Resume: Tailor your resume to highlight your 4+ years of experience in complex software design, data-heavy applications, and workflow-driven products. Use keywords from the job description such as "information architecture," "user research," "prototyping in code," and "AI-assisted design."

• Prepare Your Presentation: Practice walking through your portfolio, focusing on articulating your design rationale, the impact of your work, and your specific contributions. Be ready to discuss your approach to AI and code prototyping in detail.

• Research GLS/NXT: Understand their mission, their position in the logistics industry, and their "startup within a corporation" model. Consider how your design philosophy aligns with their values and goals.

⚠️ 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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