Senior / Staff Product Designer

📍 Job Overview

Job Title: Senior / Staff Product Designer

Company: Clera

Location: Munich, Bavaria, Germany

Job Type: Full-Time

Category: Product Design / GTM Operations (Design Focus)

Date Posted: 2026-08-22

Experience Level: 5-10+ Years

Remote Status: On-site

🚀 Role Summary

• Spearhead the design of AI-powered procurement software, focusing on user adoption and trust in automation.

• Define novel interaction patterns for agentic AI, ensuring transparency and usefulness for non-technical users.

• Drive product craft and coherence across a growing engineering and product team.

• Collaborate closely with product management and engineering to translate complex procurement workflows into intuitive user experiences.

• Contribute to the last-mile polish of features by working directly in code.

📝 Enhancement Note: While the primary role is Product Design, the focus on AI-powered procurement software and its adoption by non-technical users places this role at the intersection of Product Design and Go-To-Market (GTM) Operations. The success of this software hinges on its ability to be adopted, understood, and utilized effectively by the target market, which is a core GTM concern.

📈 Primary Responsibilities

• Define and prototype interaction patterns for agentic AI, covering states from active processing to result delivery.

• Design seamless collaboration experiences between AI agents and human judgment, avoiding user confusion or conflict.

• Produce short-horizon vision work (3-6 months) in the form of prototypes and tangible artifacts to guide product development.

• Elevate the overall product craft and visual coherence as the engineering team scales and feature output increases.

• Implement last-mile design polish by directly contributing to code (e.g., reviewing Pull Requests, tweaking UI elements).

• Translate the complexities of industrial procurement processes into user-friendly and efficient software interfaces.

• Collaborate with domain experts to ensure the design accurately reflects and simplifies intricate business workflows.

• Conduct user research and usability testing to validate design decisions and iterate on product features.

• Champion a user-centric approach, ensuring that AI capabilities are perceived as trustworthy and genuinely valuable.

📝 Enhancement Note: The responsibilities highlight a blend of strategic design thinking, hands-on execution, and cross-functional collaboration, typical of senior-level product design roles that significantly influence product strategy and market adoption. The emphasis on "raising product craft and coherence" and "last-mile polish in code" suggests a need for a designer who can not only conceptualize but also ensure high-quality implementation, directly impacting the user experience and, by extension, market success.

🎓 Skills & Qualifications

Education: Not explicitly specified, but a strong portfolio and relevant experience are prioritized over formal degrees in design fields.

Experience: 5-10+ years of product design experience, with a demonstrated track record of shipping successful products.

Required Skills:

• Extensive experience in product design, with a strong portfolio showcasing shipped B2B SaaS, complex workflow, or data-heavy product work.

• Broad proficiency across visual design, interaction design, product thinking, and prototyping.

• Ability to create runnable prototypes beyond Figma to effectively communicate design intent and user behavior.

• Comfort and capability in working directly with code for last-mile design polish (e.g., checking out PRs, minor interaction adjustments).

• Well-developed opinions on the ethical and practical integration of AI in products, focusing on trust, transparency, and effective automation.

• Aptitude for navigating ambiguity and inventing novel design patterns for new problem spaces.

• Regular use of AI tools (e.g., generative AI assistants, AI-powered coding tools) in research, ideation, and prototyping workflows.

• Strong collaboration skills, with experience working alongside product managers, engineers, and domain experts. Preferred Skills:

• Experience designing for non-technical users within complex B2B domains.

• Prior experience designing or working with agentic or autonomous AI features.

• Familiarity with procurement workflows or enterprise software for industrial companies.

📝 Enhancement Note: The "block shape" versus "T-shape" descriptor implies a need for a versatile designer capable of contributing broadly across the design spectrum, rather than a deep specialist. The requirement to work in code is a significant differentiator, pointing towards a need for a designer who understands technical constraints and can contribute to implementation quality, which is crucial for B2B SaaS products where reliability and polish are paramount.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Showcase a minimum of 3-5 significant projects demonstrating end-to-end product design ownership.

• Include detailed case studies for complex B2B SaaS, data-heavy, or workflow-intensive products, emphasizing problem definition and user impact.

• Highlight projects involving AI or automation, detailing the design challenges and solutions for user trust and adoption.

• Demonstrate proficiency in prototyping beyond static mockups, including interactive prototypes that convey user flows and interactions effectively.

• Present evidence of working with code for design implementation or polish, if possible. Process Documentation:

• Detail the design process followed for key projects, including user research methodologies, ideation techniques, and iteration cycles.

• Explain how complex user requirements and technical constraints were translated into actionable design solutions.

• Illustrate how feedback from stakeholders (product managers, engineers, domain experts) was incorporated into the design process.

• Showcase experience with agile development methodologies and how design integrates into rapid iteration cycles.

📝 Enhancement Note: For a role requiring direct code contributions, the portfolio should ideally include examples or descriptions of how design and code were integrated. Demonstrating the ability to translate complex B2B procurement workflows into user-friendly interfaces will be a key differentiator. The emphasis on AI and user trust means case studies should explicitly address these aspects.

💵 Compensation & Benefits

Salary Range: For a Senior/Staff Product Designer with 5-10+ years of experience in Munich, Germany, a competitive salary range would typically be between €75,000 and €100,000 annually, depending on the candidate's specific experience, skills, and the company's compensation philosophy.

• Senior Level: €75,000 - €90,000

• Staff Level: €90,000 - €100,000+

Benefits:

• Competitive salary and potential for equity.

• Health insurance and other standard German benefits.

• Opportunities for professional development and continuous learning.

• Contribution to building a novel AI product in a growing market.

• Collaborative and innovative work environment.

• Potential for significant impact on product direction and user experience.

Working Hours: Standard full-time hours (approximately 40 hours per week), with flexibility often available for focused work and collaboration.

📝 Enhancement Note: The salary estimate is based on typical compensation for experienced product designers in major German tech hubs like Munich, considering the Senior/Staff level. Benefits are generalized for a full-time role in Germany; specific details would be provided by Clera. The "on-site" requirement means standard German labor laws regarding working hours and benefits would apply.

🎯 Team & Company Context

🏢 Company Culture

Industry: Technology / Software (AI-Powered Procurement Software)

Company Size: Small, tight-knit team. As Clera is an early-stage company, the exact size is not specified, but the description implies a lean structure where each member has significant impact.

Founded: Not specified, but implied to be a growing startup focused on AI innovation.

Team Structure:

• Small, dedicated design team.

• Close collaboration with product managers and engineers.

• Direct reporting line likely to a Head of Design, VP of Product, or CTO, depending on the current structure.

• Emphasis on cross-functional teamwork and shared ownership of product success. Methodology:

• Agile development and rapid iteration cycles.

• User-centered design approach, informed by data and direct user feedback.

• Focus on building trustworthy and transparent AI interactions.

• Emphasis on "product craft" and design quality as a key differentiator.

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

📝 Enhancement Note: The company culture is described as "small, tight-knit," suggesting a highly collaborative and potentially fast-paced environment. The focus on AI and complex B2B SaaS implies a professional and technically adept team. The "product craft" emphasis indicates a culture that values high-quality design output.

📈 Career & Growth Analysis

Operations Career Level: Senior/Staff Product Designer. This level signifies a highly experienced individual contributor expected to lead design initiatives, mentor others, and influence product strategy. The "Staff" designation often implies a level of technical leadership and broad impact across multiple teams or product areas.

Reporting Structure: Likely reports to a Head of Design, VP of Product, or a similar senior leadership role. Will work closely with Product Managers and Engineering Leads.

Operations Impact: The designer's work directly impacts the adoption and success of Clera's AI-powered procurement software. By making complex AI and procurement processes understandable and trustworthy, the designer plays a critical role in driving user acquisition, retention, and ultimately, revenue growth. The ability to "raise product craft and coherence" is essential for market competitiveness.

Growth Opportunities:

• Opportunity to define the design language and user experience for a novel AI product category.

• Potential to grow into a leadership role within the design team as the company scales.

• Deep dive into the intricacies of AI design, B2B SaaS, and procurement workflows, building specialized expertise.

• Influence the strategic direction of the product through design vision and execution.

• Contribute to building a strong design culture within a growing startup.

📝 Enhancement Note: The Senior/Staff level suggests a path for significant influence and potential leadership. The role offers a unique opportunity to shape the user experience of cutting-edge AI technology in a critical B2B domain, which can be a significant career accelerant.

🌐 Work Environment

Office Type: On-site, collaborative office environment in Munich.

Office Location(s): Munich, Bavaria, Germany.

Workspace Context:

• Expect a dynamic startup environment with a focus on collaboration.

• Access to modern design tools and technology.

• Opportunities for direct interaction with engineers, product managers, and potentially company leadership.

• A culture that values open communication and iterative design processes.

Work Schedule: Full-time, on-site, with an emphasis on collaborative working hours. While flexibility may exist, the on-site requirement indicates a preference for in-person teamwork and spontaneous collaboration.

📝 Enhancement Note: The "on-site" requirement in Munich is crucial. This means candidates must be willing and able to relocate or already reside in the area, as visa sponsorship is not provided. The collaborative nature of a small team suggests an environment where designers are deeply integrated with product and engineering.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: Review of resume and portfolio to assess experience and alignment with role requirements.

• Portfolio Presentation: A deep dive into selected projects from the candidate's portfolio, focusing on problem-solving, design process, impact, and collaboration. Be prepared to discuss the "why" behind your design decisions.

• Design Exercise/Challenge: A practical exercise, potentially involving a case study or a small design problem related to AI/procurement, to assess design thinking, problem-solving skills, and ability to articulate solutions. This might involve prototyping or sketching.

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

• Final Round: Discussion with senior leadership (e.g., Head of Design, CEO/CTO) to assess strategic thinking, cultural fit, and long-term potential.

Portfolio Review Tips:

• Curate Carefully: Select projects that best represent your experience in B2B SaaS, complex workflows, data-heavy products, and ideally, AI-related challenges.

• Tell a Story: For each project, clearly articulate the problem, your role, the design process, key decisions, trade-offs, and the measurable impact or outcomes.

• Highlight AI & Trust: If you have AI-related projects, specifically address how you approached user trust, transparency, and the human-AI collaboration aspect.

• Showcase Code Comfort: If possible, include a project where you contributed to last-mile polish via code, or be prepared to discuss your comfort level and past experiences.

• Prototype Beyond Figma: Demonstrate your ability to create functional prototypes that convey real behavior, not just static screens.

Challenge Preparation:

• Research Clera's existing product and target market (procurement software for industrial companies).

• Understand the core challenges of integrating AI into B2B workflows, focusing on user adoption and trust.

• Practice articulating your design process and rationale clearly and concisely.

• Be prepared to discuss how you would approach designing for non-technical users interacting with sophisticated AI.

📝 Enhancement Note: The "work directly in code" requirement is a key aspect that will likely be tested, either in a portfolio review or a specific challenge. Candidates should be ready to demonstrate this capability or articulate their understanding of it. The focus on AI and user trust means case studies should heavily feature these elements.

🛠 Tools & Technology Stack

Primary Tools:

• Design & Prototyping: Figma (standard), but also proficiency in tools that allow for runnable prototypes beyond Figma (e.g., Framer, ProtoPie, or custom web-based prototypes).

• Coding for Polish: Familiarity with front-end technologies such as HTML, CSS, JavaScript, and potentially frameworks like React or Vue.js for integration and last-mile tweaks.

• Version Control: Git, for managing code contributions.

Analytics & Reporting:

• Understanding of how to use product analytics tools (e.g., Amplitude, Mixpanel) to inform design decisions and measure impact.

• Ability to interpret data related to user engagement, feature adoption, and workflow completion. CRM & Automation:

• While not a direct CRM/Automation role, understanding how design impacts CRM data capture and workflow automation within procurement software is beneficial. Familiarity with how user actions translate into system data is key.

📝 Enhancement Note: The explicit mention of working "directly in code for last-mile polish" and "checking out PRs" is a significant technical requirement for a designer. This suggests the need for familiarity with web development tools and workflows, not just design software.

👥 Team Culture & Values

Operations Values:

• User-Centricity: Deep understanding of user needs, especially non-technical users in complex B2B environments.

• Transparency & Trust: Commitment to designing AI interactions that are clear, understandable, and build user confidence.

• Craftsmanship: A dedication to high-quality design execution, from concept to final implementation.

• Collaboration: Valuing teamwork and open communication across product, engineering, and domain experts.

• Innovation: Eagerness to explore new interaction patterns for AI and tackle novel design challenges.

Collaboration Style:

• Highly collaborative, working hand-in-hand with product managers and engineers.

• Proactive communication to ensure design vision is understood and implemented correctly.

• Willingness to participate in code reviews and provide design feedback on engineering implementations.

• Openness to iterative feedback and agile development cycles.

📝 Enhancement Note: The emphasis on "trust, transparency, and appropriate automation" in AI design points to a core value that permeates the team's approach to product development. This is crucial for the adoption of AI in sensitive business areas like procurement.

⚡ Challenges & Growth Opportunities

Challenges:

• Designing for non-technical users in a complex, data-heavy B2B domain (procurement).

• Establishing user trust and transparency in novel agentic AI capabilities.

• Bridging the gap between sophisticated AI functionality and intuitive user experience.

• Balancing rapid engineering velocity with the need for high product craft and coherence.

• Integrating design contributions directly into the engineering codebase. Learning & Development Opportunities:

• Become a leader in designing AI-human interaction for enterprise software.

• Gain deep expertise in the procurement domain and B2B SaaS product development.

• Develop advanced skills in creating runnable prototypes and contributing to front-end code.

• Opportunity to shape a product from its early stages and influence its market position.

• Mentorship from experienced product and engineering leaders.

📝 Enhancement Note: The primary challenge lies in making complex AI accessible and trustworthy. The growth opportunities are significant for a designer willing to embrace a multi-disciplinary role that blends deep design thinking with practical coding contributions.

💡 Interview Preparation

Strategy Questions:

• "Describe a time you had to design for users who were skeptical of a new technology, like AI. How did you build trust and encourage adoption?" (Focus on transparency, user education, and incremental exposure).

• "How would you approach designing the interaction for an AI agent that is performing a critical procurement task? What states and feedback mechanisms are crucial?" (Focus on clarity of process, error handling, and confirmation).

• "Walk us through a project where you had to translate a highly complex workflow into a simple, usable interface. What were the key trade-offs you made?" (Focus on user-centric simplification and prioritization). Company & Culture Questions:

• "What are your thoughts on the ethical implications of AI in business software, and how do you ensure your designs reflect responsible AI principles?" (Connect to Clera's values of trust and transparency).

• "How do you collaborate with engineers, especially when your role involves contributing to code? Describe your ideal working relationship." (Highlight your comfort with code and cross-functional teamwork).

• "What excites you about Clera's mission and the specific challenges of designing AI procurement software?" (Show genuine interest and understanding of the domain). Portfolio Presentation Strategy:

• Project Selection: Prioritize projects showcasing B2B SaaS, complex workflows, AI/automation, and ideally, any involvement with code implementation.

• Narrative Arc: For each project, clearly define the problem, your specific contributions, the user/business impact, and lessons learned.

• Demonstrate AI Design: If you have AI projects, explicitly detail how you addressed trust, transparency, and user control.

• Code Contribution: Be ready to discuss your role in code, even if it was minor tweaks. If you can show a tangible example or describe a specific PR you worked on, that's a strong plus.

• Prototype Showcase: Use live prototypes where possible, or detailed walkthroughs of interactive prototypes that demonstrate user flows and key interactions.

📝 Enhancement Note: Be prepared to discuss your experience with front-end code and Git. This is a key differentiator for this role. Frame your experience in terms of how your design decisions directly contributed to product adoption and business value in previous roles.

📌 Application Steps

To apply for this operations position:

• Submit your application through the provided link on Ashby.

• Portfolio Customization: Tailor your portfolio to prominently feature B2B SaaS, complex workflows, and any AI-related projects. Clearly articulate your design process, user impact, and any involvement with code implementation.

• Resume Optimization: Highlight your 5-10+ years of experience, specific skills in visual and interaction design, prototyping beyond Figma, and comfort with coding for polish. Use keywords like "AI," "B2B SaaS," "complex workflows," and "agentic AI."

• Interview Preparation: Practice presenting your portfolio case studies, focusing on your problem-solving approach, design decisions, and quantifiable outcomes. Be ready to discuss your experience working with code and your understanding of AI ethics.

• Company Research: Thoroughly research Clera, its product, target market (industrial procurement), and any publicly available information on its mission and values. Understand the challenges of AI adoption in enterprise software.

⚠️ 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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