Junior Product Designer

📍 Job Overview

Job Title: Junior Product Designer

Company: Clera

Location: Munich, Bavaria, Germany

Job Type: FULL_TIME

Category: Product Design / UX/UI Design

Date Posted: 2026-09-27

Experience Level: 0-2 Years

Remote Status: On-site

🚀 Role Summary

• Design and deliver end-to-end product experiences for a B2B AI startup in the industrial procurement sector, with a direct impact on paying customers within weeks.

• Define novel UX patterns for human-AI collaboration, specifically focusing on how AI agents surface tasks and how procurement professionals supervise and build trust with them.

• Utilize a range of tools including Figma, AI ideation tools, and potentially code for rapid prototyping and iteration, ensuring seamless integration into shipped products.

• Collaborate closely with product managers, engineers, and domain experts to minimize handoff friction and ensure the quality and consistency of shipped features.

📝 Enhancement Note: This role is positioned within a fast-paced Series A B2B AI startup, indicating a strong emphasis on rapid iteration, shipping value quickly, and contributing to a product category that is still being invented. The "junior" title combined with the expectation of shipping quickly suggests a need for individuals with a strong bias for action and comfort in ambiguity.

📈 Primary Responsibilities

• Conceptualize, design, and prototype user interfaces and end-to-end product flows for B2B procurement professionals, with a focus on AI agent interaction.

• Develop innovative UX patterns that facilitate effective human supervision and collaboration with AI agents, ensuring trust and efficiency.

• Create interactive prototypes using Figma and leverage AI tools for rapid ideation and exploration of design concepts.

• Work cross-functionally with product, engineering, and subject matter experts to translate complex requirements into intuitive user experiences.

• Conduct design reviews, including reviewing pull requests, and perform last-mile visual and interaction tweaks to ensure high quality of shipped features.

• Contribute to and champion the company's design system, ensuring consistency and scalability across the product.

• Take ownership of features from initial discovery and user research through to launch and subsequent iterations based on customer feedback.

📝 Enhancement Note: The responsibility of "defining how AI agents surface work, how humans review it, and how trust is built between them" is a critical differentiator for this role, requiring a deep understanding of both user experience design and the emerging paradigms of human-AI interaction in a professional context.

🎓 Skills & Qualifications

Education: While no specific degree is mandated, a strong foundation in Design, HCI, Computer Science, or a related field is implied by the nature of product design work. A portfolio demonstrating practical application of design principles is paramount.

Experience: 0 to 2 years of professional product design experience, including significant internships, with a demonstrated track record of shipping work. Experience with B2B, complex workflow, or data-intensive products is highly advantageous.

Required Skills:

• Proficiency in end-to-end product design, including user flows, wireframing, and prototyping.

• Strong visual and interaction design fundamentals with a keen eye for detail.

• Experience with design systems and a commitment to maintaining consistency.

• Daily use of AI tools for ideation and prototyping (e.g., Claude, ChatGPT, Cursor, v0, Figma Make).

• Demonstrated systems thinking, understanding how individual features contribute to the overall product architecture.

• Comfort with ambiguity and a strong bias for shipping functional products over achieving perfect polish.

• Proficiency in Figma for design and prototyping. Preferred Skills:

• Ability to prototype in code (HTML, CSS, or React).

• Experience designing for non-technical users within complex technical domains.

• Opinions and insights on the integration of AI into products beyond basic chat interfaces.

• Experience designing B2B, complex-workflow, or data-heavy products.

📝 Enhancement Note: The emphasis on "daily use of AI tools" and "opinions on how AI should appear in products beyond chat" indicates a forward-thinking approach to design, pushing the boundaries of AI integration. Candidates should be prepared to discuss their experiences and perspectives on these emerging areas.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• A curated portfolio showcasing shipped products, demonstrating end-to-end design ownership from discovery to launch.

• Case studies that clearly articulate design challenges, the process undertaken, the solutions implemented, and the impact on users and business metrics.

• Examples of how design systems were utilized or contributed to, ensuring visual and interactive consistency.

• Demonstrations of rapid prototyping skills, potentially including examples using AI-assisted design tools. Process Documentation:

• Showcase of how user research and customer feedback were integrated into the design process to drive iteration and improvement.

• Examples of collaboration with engineering and product teams, highlighting methods to reduce handoff friction and ensure successful implementation.

• Documentation of design system contributions or adherence, illustrating an understanding of scalable design principles.

📝 Enhancement Note: Given the emphasis on shipping quickly and the nascent nature of the product category, the portfolio should ideally highlight adaptability, rapid iteration, and the ability to define new paradigms, rather than solely focusing on established design patterns.

💵 Compensation & Benefits

Salary Range: For a Junior Product Designer with 0-2 years of experience in Munich, Germany, a competitive salary range would typically fall between €45,000 and €60,000 annually. This estimate is based on industry benchmarks for similar roles in major German tech hubs, considering the cost of living and the startup environment.

Benefits:

• Competitive salary and potential for equity in a fast-growing Series A startup.

• Opportunity to work on a groundbreaking product category at the intersection of AI and procurement.

• Direct impact on product direction and customer experience, with features shipping rapidly.

• Collaborative and innovative work environment with a small, high-performing cross-functional team.

• Professional development opportunities, including exposure to cutting-edge AI tooling and complex B2B product design challenges.

• Standard German benefits, likely including health insurance, paid time off, and potential for professional development stipends.

Working Hours: The role is full-time, typically around 40 hours per week, common for the German market. However, the fast-paced startup environment may require flexibility and a results-oriented approach.

📝 Enhancement Note: Salary estimates are based on general market data for Munich and the specified experience level. Exact compensation will depend on the candidate's specific skills, portfolio, and interview performance. Benefits are inferred based on typical Series A startup offerings and German employment standards.

🎯 Team & Company Context

🏢 Company Culture

Industry: Technology, specifically B2B AI and Industrial Procurement Software. Clera operates in the rapidly evolving space of AI-driven enterprise solutions, aiming to revolutionize procurement processes.

Company Size: Series A B2B AI startup. This indicates a company that has secured significant funding, is past the initial seed stage, and is focused on scaling its product and customer base. The team is described as "small," suggesting an intimate, agile, and collaborative working environment.

Founded: The company is a Series A startup, implying it was founded relatively recently, likely within the last 5-7 years, and has established a strong product-market fit to attract substantial investment.

Team Structure:

• The role is on a "small, fast-moving cross-functional team," emphasizing agility and close collaboration.

• Designers will likely report to a Head of Design or Product Lead, working closely with Product Managers and Engineers.

• The emphasis on reducing "handoff friction" suggests a highly integrated product development process. Methodology:

• A "bias toward shipping over endless polish" points to an agile, iterative development methodology.

• Strong focus on end-to-end feature ownership, from discovery through launch and feedback-driven iteration.

• Integration of AI tools into the design process itself, not just the end product.

• Emphasis on defining new UX patterns for emerging technologies (human-AI interaction).

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

📝 Enhancement Note: As a Series A AI startup in a specific niche (industrial procurement), Clera likely fosters a culture of innovation, rapid execution, and a deep understanding of enterprise challenges. The small team size means individual contributions are highly visible and impactful.

📈 Career & Growth Analysis

Operations Career Level: Junior Product Designer. This level is characterized by a need for strong foundational skills, a willingness to learn, and the ability to execute designs under guidance, while also taking ownership of specific features. The role offers significant exposure to defining new product categories.

Reporting Structure: The Junior Product Designer will likely report to a Senior Designer or Product Lead, working in close tandem with Product Managers and Engineering teams. This structure provides mentorship while allowing for direct contribution to product development.

Operations Impact: The role has a direct and immediate impact on the product, as designs ship to paying customers quickly. The designer will be instrumental in shaping the user experience of a novel product category, influencing how procurement professionals interact with AI, thereby directly impacting operational efficiency for Clera's clients.

Growth Opportunities:

• Skill Specialization: Opportunity to become an expert in designing for human-AI collaboration and complex B2B workflows within the procurement domain.

• Career Advancement: Progression from Junior Product Designer to Product Designer, Senior Product Designer, or potentially into Product Management or Design Leadership roles as the company scales.

• Learning & Development: Exposure to cutting-edge AI tooling, rapid product development cycles, and the chance to contribute to a design system from its growth stages. Potential to prototype in code (HTML, CSS, React) offers a path into more technical design roles.

📝 Enhancement Note: The "junior" designation combined with the rapid shipping cycle and the opportunity to "own features" suggests a fast track for individuals who demonstrate strong execution and learning agility. The company's focus on a new product category provides a unique opportunity for foundational impact.

🌐 Work Environment

Office Type: On-site in Munich, Germany. This indicates a traditional office-based work environment designed for in-person collaboration.

Office Location(s): Munich, Bavaria, Germany. A major European tech hub known for its strong industrial base and growing startup ecosystem.

Workspace Context:

• A "small, fast-moving cross-functional team" environment suggests a dynamic and collaborative workspace, likely with open communication channels.

• Proximity to engineering and product teams will facilitate rapid feedback loops and design-software-engineering alignment.

• Access to modern design tools (Figma) and AI tooling is a given, supporting efficient workflow.

• The office environment will likely foster a culture of innovation and rapid iteration, with opportunities for direct interaction with colleagues.

Work Schedule: Full-time (approx. 40 hours/week) on-site. While a standard schedule is expected, the startup culture may encourage flexibility and a focus on achieving results, potentially involving occasional extended hours during critical project phases.

📝 Enhancement Note: The mandatory on-site presence in Munich is a key factor, suggesting the company values in-person collaboration, team cohesion, and the spontaneous idea generation that often occurs in shared physical spaces, particularly important for a startup defining new product categories.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: Review of resume and portfolio to assess foundational skills, experience, and suitability for a junior role.

• Portfolio Presentation: A session where the candidate presents selected case studies from their portfolio, focusing on design process, problem-solving, and impact. Expect questions on how AI tools were used.

• Design Exercise/Challenge: A practical exercise, potentially involving a small design problem related to AI interaction or complex workflows, to evaluate design thinking and execution speed.

• Cross-functional Interviews: Meetings with Product Managers and Engineers to assess collaboration style, communication skills, and technical understanding.

• Final Interview: Potentially with a founder or senior leader to assess cultural fit, long-term potential, and alignment with company vision.

Portfolio Review Tips:

• Show, Don't Just Tell: Clearly articulate the problem, your role, the design process, the constraints (especially AI integration), your solutions, and the outcomes (metrics if available).

• Highlight AI Tool Usage: Specifically showcase how you've leveraged AI tools (Claude, ChatGPT, Cursor, v0, Figma Make) in your design process for ideation, prototyping, or iteration.

• Demonstrate Systems Thinking: Include examples that show you understand how individual features fit into a larger product ecosystem and design system.

• Emphasize Shipping & Iteration: Showcase projects where you've shipped work and iterated based on feedback, reflecting the company's "bias toward shipping" culture.

• Address Ambiguity: Be prepared to discuss how you navigate unclear requirements and contribute to defining solutions in new product spaces.

Challenge Preparation:

• Familiarize yourself with B2B procurement challenges and the emerging landscape of human-AI collaboration.

• Practice articulating your design process succinctly and clearly, focusing on speed and effectiveness.

• Be ready to discuss your opinions on AI integration in products beyond chat interfaces.

• Prepare to discuss how you would approach a design problem with limited information or a rapidly evolving brief.

📝 Enhancement Note: The emphasis on rapid shipping and AI tool utilization means candidates should be prepared to demonstrate their ability to deliver functional designs quickly and their comfort with experimental and emerging technologies. The portfolio should reflect a proactive, problem-solving mindset.

🛠 Tools & Technology Stack

Primary Tools:

• Figma: The core tool for UI design, wireframing, and prototyping. Proficiency is essential.

• AI Tools: Daily use of tools like Claude, ChatGPT, Cursor, v0, or Figma Make for ideation, content generation, and prototyping. Candidates should be prepared to discuss their specific applications.

• Prototyping Tools: While Figma is primary, familiarity with other rapid prototyping methods may be beneficial.

Analytics & Reporting:

• While not explicitly mentioned as a primary responsibility for this junior role, understanding how to interpret product analytics to inform design decisions and measure impact is a plus. Familiarity with common analytics platforms used in B2B SaaS would be advantageous. CRM & Automation:

• Understanding of B2B workflows and how design impacts CRM and automation processes within procurement is beneficial. Experience with tools like Salesforce, HubSpot, or specific procurement platforms is a bonus. Bonus/Preferred Technologies:

• Prototyping in Code: HTML, CSS, or React for more advanced prototyping and collaboration with engineering.

📝 Enhancement Note: The explicit mention of AI tools as a daily requirement is a significant indicator of the company's technology focus. Candidates should be prepared to discuss their practical experience and creative applications of these tools in a design context.

👥 Team Culture & Values

Operations Values:

• Shipping & Iteration: A strong bias towards delivering functional products quickly and iterating based on real-world feedback.

• Collaboration: Close cross-functional teamwork with product and engineering, aiming to reduce friction and ensure seamless execution.

• Innovation: A drive to explore and define new product categories, particularly at the intersection of AI and enterprise software.

• Ambiguity Tolerance: Comfort working in an environment where requirements may be unclear and the product category is still evolving.

• Customer Focus: Commitment to understanding and addressing the needs of procurement professionals through user-centric design.

Collaboration Style:

• Highly integrated and hands-on, with designers working directly alongside product managers and engineers.

• Open communication and feedback loops are essential for rapid iteration and quality assurance (e.g., reviewing pull requests).

• Emphasis on shared ownership and collective responsibility for feature success.

📝 Enhancement Note: The core values revolve around speed, impact, and innovation. A candidate who thrives in a fast-paced, collaborative, and somewhat ambiguous environment, with a proactive approach to problem-solving, will be a strong cultural fit.

⚡ Challenges & Growth Opportunities

Challenges:

• Defining a New Product Category: Navigating the ambiguity of designing for a novel human-AI interaction space in procurement requires significant creative problem-solving.

• Rapid Shipping Cycles: The expectation to ship features quickly demands efficiency, strong prioritization skills, and the ability to make pragmatic design decisions.

• Balancing Polish with Speed: Finding the right balance between delivering a high-quality user experience and meeting aggressive timelines.

• Integrating AI Effectively: Designing intuitive and trustworthy interfaces for AI agents is a complex and evolving challenge.

Learning & Development Opportunities:

• Cutting-Edge AI Design: Gaining expertise in designing for emerging AI technologies and human-AI collaboration patterns.

• B2B SaaS Product Development: Deep understanding of enterprise software design, complex workflows, and the procurement domain.

• Rapid Iteration & Product Ownership: Developing strong skills in agile product development, feature ownership, and data-informed design.

• Technical Skill Enhancement: Potential to develop or deepen skills in front-end development (HTML, CSS, React) through prototyping.

• Design System Contribution: Opportunity to contribute to and grow with a maturing design system.

📝 Enhancement Note: The primary challenge and growth opportunity lie in being at the forefront of designing for AI-driven enterprise solutions. This role offers a unique chance to shape a new product category and develop highly sought-after skills in human-AI interaction design.

💡 Interview Preparation

Strategy Questions:

• "Describe a time you had to design a feature for a completely new product category. What was your process?" (Focus on navigating ambiguity and defining solutions.)

• "How do you balance the need for design polish with the pressure to ship features quickly in a startup environment?" (Highlight your bias for action and pragmatic decision-making.)

• "How have you used AI tools in your design process? Can you give an example of how an AI tool helped you solve a specific design problem or accelerate your workflow?" (Be specific and ready to demo.)

• "Imagine designing an interface for an AI agent that manages purchase orders. What are the key UX considerations for building trust and ensuring efficient supervision by a procurement professional?" (Focus on human-AI interaction principles.) Company & Culture Questions:

• "What interests you about Clera's mission and the industrial procurement space?" (Research Clera's website and the industry.)

• "How do you approach collaboration with engineering and product teams?" (Emphasize your cross-functional experience and communication style.)

• "What are your thoughts on the future of AI in B2B software?" (Show genuine interest and informed opinions.)

• "How do you handle constructive criticism or feedback on your designs?" (Focus on a growth mindset and collaborative approach.) Portfolio Presentation Strategy:

• Focus on Impact: For each case study, clearly articulate the problem, your role, the solution, and the measurable outcome or impact.

• Showcase AI Tool Integration: Explicitly detail how AI tools were used in your process and the benefits derived.

• Explain Your Reasoning: Be prepared to deeply explain the "why" behind your design decisions, especially concerning interaction patterns for AI.

• Demonstrate Systems Thinking: If possible, show how your designs fit into a larger system or design language.

• Keep it Concise: Given the junior level and fast-paced environment, focus on clarity and efficiency in your presentation.

📝 Enhancement Note: Interviewers will be looking for a combination of strong foundational design skills, a proactive and iterative mindset, comfort with ambiguity, and a genuine enthusiasm for working with AI and defining new product experiences. Practical experience with AI tools is a significant differentiator.

📌 Application Steps

To apply for this operations position:

• Submit your application through the provided link on Ashby.

• Portfolio Customization: Tailor your portfolio to highlight projects demonstrating end-to-end design ownership, rapid iteration, and experience with AI tools. Focus on B2B or complex workflow examples if available.

• Resume Optimization: Ensure your resume clearly states your 0-2 years of experience, lists relevant design tools (Figma, AI tools), and quantifies achievements where possible. Emphasize any shipped work and cross-functional collaboration.

• Interview Preparation: Practice articulating your design process, particularly your approach to human-AI interaction and navigating ambiguity. Prepare specific examples of how you've used AI tools in your workflow and be ready to discuss your opinions on AI's role in products.

• Company Research: Thoroughly research Clera, its mission, its product, and the industrial procurement space. Understand their Series A status and the implications for a fast-paced startup environment.

⚠️ 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.