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

Date Posted: 2026-09-28

Experience Level: Senior/Staff (5-10 years)

Remote Status: On-site

🚀 Role Summary

• Design and define user experiences for an AI-powered procurement platform, focusing on surfacing agentic AI capabilities to non-technical users.

• Develop interaction patterns that foster trust and collaboration between AI and human judgment, directly impacting AI feature adoption and business value.

• Contribute to product vision through tangible artifacts and prototypes, ensuring high product craft and coherence as the platform scales.

• Collaborate closely with product managers, engineers, and domain experts to translate complex procurement workflows into intuitive and efficient user interfaces.

• Directly contribute to the final product through last-mile design polish and code refinement.

📝 Enhancement Note: This role is classified under Product Design, with a strong emphasis on GTM Operations due to its focus on user adoption of AI features, which directly influences revenue realization and operational efficiency for industrial clients. The role requires bridging complex AI technology with practical business application, a key GTM consideration.

📈 Primary Responsibilities

• Define and design the user interface and interaction patterns for agentic AI functionalities within the procurement platform, ensuring clarity and usability for non-technical users.

• Develop innovative design solutions for human-AI collaboration, emphasizing trust, transparency, and effective integration of AI-driven insights into daily workflows.

• Create short-horizon product vision artifacts, including prototypes and tangible design explorations, to align stakeholders and guide engineering efforts for the next 3-6 months.

• Elevate the overall product craft and visual coherence of the platform, ensuring a consistent and high-quality user experience as the product evolves.

• Conduct last-mile design refinements by working directly with code, reviewing pull requests, and polishing interactions before feature deployment.

• Partner with product management, engineering teams, and procurement domain experts to deeply understand user needs and translate complex business requirements into elegant design solutions.

• Produce runnable prototypes beyond standard design tools to effectively communicate complex AI behaviors and interaction flows.

📝 Enhancement Note: The responsibilities highlight a blend of strategic product vision and hands-on execution, typical of senior design roles in high-growth B2B SaaS environments. The emphasis on "agentic AI" and "human-AI collaboration" suggests a need for proactive problem-solving and the creation of novel interaction patterns.

🎓 Skills & Qualifications

Education: No specific educational degree is listed; however, a strong portfolio demonstrating equivalent practical experience is paramount.

Experience: 5+ years of experience as a Senior or Staff Product Designer.

Required Skills:

• Proven experience in B2B SaaS, complex workflow design, or data-heavy product environments, evidenced by a shipped portfolio.

• Broad capabilities encompassing visual design, interaction design, product thinking, and design systems expertise.

• Practical experience with prototyping tools beyond Figma, including the creation of runnable prototypes that effectively convey intent and behavior.

• Hands-on experience utilizing AI tools (e.g., general-purpose chat assistants, AI-assisted coding tools) within daily design, research, and prototyping workflows.

• Developed and articulate opinions on how AI should be presented in products, with a focus on building trust, ensuring transparency, and managing automation levels appropriately.

• Ability to operate effectively in ambiguous environments and invent novel interaction patterns for complex, new problems.

• Experience in a startup or high-growth environment, or with projects of equivalent complexity. Preferred Skills:

• Experience designing agentic or autonomous AI features.

• Familiarity with procurement, manufacturing, or industrial supply chain domains.

• Experience working with code for last-mile design polish and contributing to PRs.

📝 Enhancement Note: The requirement for "broad capabilities" suggests that candidates should not be overly specialized but possess a well-rounded skill set. The emphasis on "runnable prototypes" and "hands-on use of AI tools" indicates a need for candidates who are not only conceptual but also deeply practical and technologically adept.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• A comprehensive portfolio showcasing shipped B2B SaaS products, complex workflows, or data-heavy applications.

• Demonstrations of strong visual design, interaction design, and product thinking applied to real-world problems.

• Examples of design system implementation and maintenance, highlighting coherence and scalability.

• Case studies detailing the process of defining and designing for AI-driven features, emphasizing user trust and adoption.

• Evidence of creating runnable prototypes that communicate intent and behavior beyond static mockups. Process Documentation:

• Case studies that clearly articulate the problem, your design process, key decisions, and the resulting impact on user adoption and business value.

• Documentation of how AI tools were integrated into your design and prototyping workflow.

• Examples of how you navigated ambiguity and invented new interaction patterns for novel problems.

• Demonstrations of collaboration with engineering and product teams, showcasing your ability to translate complex requirements into actionable design.

📝 Enhancement Note: The portfolio is crucial for this role, especially the sections demonstrating experience with complex B2B SaaS, AI features, and the ability to create runnable prototypes. Candidates should be prepared to articulate their design process and the tangible business impact of their work.

💵 Compensation & Benefits

Salary Range: For a Senior/Staff Product Designer in Munich, Germany, with 5-10 years of experience and expertise in B2B SaaS and AI, the estimated annual salary range is €80,000 - €110,000. This range is based on current market data for experienced design professionals in major German tech hubs, considering the specific technical demands of AI product design and the B2B SaaS sector.

Benefits:

• Visa sponsorship is not available for this role.

• Opportunity to work on cutting-edge AI-powered procurement technology.

• Collaborative and innovative startup/high-growth environment.

• Direct impact on product strategy and user adoption.

• Potential for significant professional growth in a specialized AI product design niche.

Working Hours: 40 hours per week (standard full-time in Germany), with potential for flexibility depending on team needs and project deadlines.

📝 Enhancement Note: The salary estimate is based on industry benchmarks for Senior/Staff Product Designers in Germany, adjusted for Munich's cost of living and the specialized skills in AI and B2B SaaS. The lack of visa sponsorship is a critical factor for non-EU candidates.

🎯 Team & Company Context

🏢 Company Culture

Industry: Software / Technology, specifically focusing on AI-powered Procurement and Industrial Supply Chain solutions. Clera is building an AI platform to streamline procurement for industrial companies, aiming to make automation trustworthy and useful for non-technical users.

Company Size: Small, focused design team within a growing company. The company is likely in a growth phase, indicated by the need for senior design talent to scale product craft.

Founded: The company was founded in 2021. Its mission is to build an AI procurement platform.

Team Structure:

• A small, focused design team responsible for the core product experience.

• Close collaboration with Product Management and Engineering teams.

• Direct interaction with procurement domain experts to ensure product relevance and usability.

• Reporting structure likely to a Head of Product or CTO in a smaller organization. Methodology:

• Data-driven product development, with design decisions informed by user research and analytics.

• Agile development methodologies, with a focus on iterative design and rapid prototyping.

• Emphasis on creating "runnable prototypes" and working with code for design refinement.

• Strategic focus on user adoption of AI features, linking design directly to business value.

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

📝 Enhancement Note: Clera's focus on AI in procurement for industrial companies places it at the intersection of deep tech and practical enterprise solutions. The culture likely values innovation, pragmatism, and a strong understanding of user needs in complex B2B environments.

📈 Career & Growth Analysis

Operations Career Level: This is a Senior/Staff level role, indicating significant autonomy, influence, and a high degree of ownership. The "Staff" designation suggests the potential to lead initiatives, mentor junior designers, and shape design strategy across multiple product areas or even the entire product. For a GTM perspective, this role is critical in ensuring the successful adoption and perceived value of AI features, directly impacting sales cycles and customer success.

Reporting Structure: The designer will likely report to a Head of Product or Design Lead within a small team. They will work closely with Product Managers and Engineers, forming a core product development triad.

Operations Impact: The impact of this role is substantial. By defining how AI capabilities are presented and adopted, the designer directly influences the platform's perceived value, customer satisfaction, and ultimately, revenue generation. Successful AI integration can lead to significant operational efficiencies for clients, which is a key selling point for Clera's GTM strategy.

Growth Opportunities:

• Opportunity to become a lead designer or design manager as the company scales.

• Deep specialization in designing for advanced AI and agentic systems, a high-demand skill.

• Influence the long-term product vision and design direction for an innovative AI platform.

• Develop expertise in the procurement and industrial supply chain domain.

• Potential to lead design initiatives for new AI feature development and integration.

📝 Enhancement Note: The career path at a startup like Clera can be rapid. A Senior/Staff designer is well-positioned to grow into leadership roles, shape the design function, and become a key figure in the company's success, especially given the critical nature of AI adoption for its GTM strategy.

🌐 Work Environment

Office Type: On-site in Munich, Bavaria, Germany. This suggests a traditional office setting focused on in-person collaboration.

Office Location(s): Munich, Bavaria, Germany. This is a major European tech hub, offering access to a vibrant professional community and talent pool.

Workspace Context:

• A collaborative office environment designed for in-person teamwork with product managers and engineers.

• Access to modern design tools and potentially high-performance computing for AI-related prototyping and testing.

• Opportunities for direct interaction with procurement domain experts, fostering a deep understanding of customer challenges.

• A dynamic startup atmosphere where individual contributions have a significant impact.

Work Schedule: Standard 40-hour work week. While the role is on-site, the startup environment may offer some flexibility for focused work or project-specific needs, but the primary expectation is presence in the office.

📝 Enhancement Note: The on-site requirement in Munich is a key factor for applicants. It indicates a culture that values face-to-face collaboration, essential for rapid iteration and problem-solving in a startup environment, especially when dealing with complex AI concepts.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: Review of resume and portfolio to assess experience, skills, and cultural fit.

• Portfolio Presentation: A deep dive into your portfolio, focusing on your process, decision-making, and impact, particularly for B2B SaaS, complex workflows, and AI-related projects. Be prepared to discuss how you approached ambiguity and designed for trust in AI.

• Design Challenge/Case Study: You may be asked to complete a design exercise or work through a hypothetical problem related to AI in procurement. This will assess your problem-solving skills, design thinking, and ability to articulate your approach.

• Team/Hiring Manager Interviews: Discussions with product managers, engineers, and the hiring manager to evaluate collaboration style, communication, and strategic thinking.

• Final Round: Potentially a discussion with founders or senior leadership to assess overall fit and long-term potential.

Portfolio Review Tips:

• Highlight AI Experience: Clearly showcase any projects involving AI, machine learning, or complex automation. Emphasize how you designed for trust, transparency, and user adoption.

• Showcase "Runnable Prototypes": If possible, include links or demonstrations of prototypes that go beyond static mockups to illustrate complex interactions and behaviors.

• Detail Your Process: For each project, clearly articulate the problem, your research methods, design rationale, iteration process, and the measurable impact (e.g., user adoption, efficiency gains, client feedback).

• B2B SaaS Focus: Ensure your portfolio demonstrates a strong understanding of B2B SaaS user needs, complex workflows, and enterprise-level design challenges.

• Communicate Ambiguity Navigation: Be ready to discuss how you approached open-ended problems and invented new solutions.

Challenge Preparation:

• Understand the Domain: Research procurement, industrial supply chains, and common challenges faced by industrial companies.

• Think AI-First: Consider how AI can solve specific problems within procurement and what design challenges arise from integrating AI into enterprise workflows.

• Focus on Trust and Usability: Prepare to discuss how you would design AI features to be trustworthy, transparent, and easy for non-technical users to adopt.

• Practice Articulation: Be ready to clearly explain your thought process and design decisions under pressure.

📝 Enhancement Note: The interview process will heavily scrutinize the candidate's ability to translate complex AI concepts into usable and trustworthy product experiences. A strong portfolio demonstrating practical application and clear impact is paramount.

🛠 Tools & Technology Stack

Primary Tools:

• Design & Prototyping: Figma (standard), but expectation for proficiency in beyond Figma prototyping tools for runnable prototypes. Specific tools may include Framer, ProtoPie, or custom code-based solutions.

• AI Tools: General-purpose chat assistants (e.g., ChatGPT, Claude), AI-assisted coding tools (e.g., GitHub Copilot), and potentially specialized AI design aids.

• Design Systems: Experience with building or working within established design systems.

Analytics & Reporting:

• Familiarity with product analytics tools (e.g., Amplitude, Mixpanel, Pendo) to understand user behavior and feature adoption.

• Ability to interpret data to inform design decisions and measure the impact of design changes. CRM & Automation:

• While not a direct responsibility, understanding how design impacts CRM data capture and workflow automation within a B2B SaaS context is beneficial.

• Familiarity with how design decisions can drive efficiency and automation for end-users.

📝 Enhancement Note: The emphasis on "prototyping beyond Figma" and "hands-on use of AI tools" indicates a need for designers who are comfortable with a more technically advanced toolset and are actively integrating AI into their creative process.

👥 Team Culture & Values

Operations Values:

• Innovation & AI Forward: A drive to explore and implement cutting-edge AI solutions to solve real-world business problems.

• User-Centricity with Business Acumen: Deeply understanding user needs while ensuring that design decisions directly contribute to business objectives and customer value.

• Craft & Quality: A commitment to high standards in visual design, interaction design, and overall product polish.

• Collaboration & Transparency: Open communication and teamwork across product, engineering, and domain expert roles.

• Pragmatism & Ambiguity Tolerance: Ability to deliver tangible results in a fast-paced startup environment, navigating uncertainty effectively.

Collaboration Style:

• Cross-functional collaboration is central, with designers working closely with Product Managers and Engineers throughout the product development lifecycle.

• A culture of constructive feedback and iterative design, encouraging continuous improvement.

• Knowledge sharing and mentorship, especially within the small design team, to elevate collective skills.

📝 Enhancement Note: The company values likely blend startup agility with a focus on technical excellence and user impact, particularly in the complex domain of AI for enterprise.

⚡ Challenges & Growth Opportunities

Challenges:

• Designing for Trust in AI: A primary challenge will be creating interfaces that make complex, agentic AI feel trustworthy and reliable for non-technical users, overcoming potential skepticism.

• Navigating Ambiguity: Inventing new interaction patterns for novel AI capabilities requires comfort with uncertainty and a proactive, experimental approach.

• Balancing AI Power with Usability: Ensuring that powerful AI features are accessible and genuinely useful, rather than overwhelming or confusing, for the target audience.

• Scaling Product Craft: Maintaining high design quality and coherence as the platform and engineering velocity increase.

Learning & Development Opportunities:

• Deep specialization in the rapidly evolving field of AI product design and agentic systems.

• Opportunity to shape the design language and user experience of a foundational AI procurement platform.

• Exposure to the intricacies of industrial procurement and supply chain operations.

• Potential for leadership growth within the design team as the company scales.

• Access to cutting-edge AI tools and technologies for design and prototyping.

📝 Enhancement Note: The challenges are directly tied to the innovative nature of the product, offering significant opportunities for professional development and specialized skill acquisition in AI product design.

💡 Interview Preparation

Strategy Questions:

• "How would you approach designing the user interface for an AI agent that autonomously manages parts of the procurement process? What are the key considerations for ensuring user trust and transparency?" (Focus on AI trust, transparency, human-AI collaboration, and specific UI/UX patterns).

• "Describe a time you had to design for a complex, data-heavy B2B SaaS product. What were the main challenges, and how did your design address them?" (Focus on B2B SaaS, complex workflows, data visualization, and problem-solving).

• "Given our focus on AI-powered procurement, how would you define 'short-horizon vision work' and what kinds of tangible artifacts would you produce to guide the engineering team for the next 3-6 months?" (Focus on product vision, prototyping, and cross-functional alignment). Company & Culture Questions:

• "What are your thoughts on the ethical implications of agentic AI in enterprise software, and how do you believe designers should address these?" (Assess understanding of AI ethics and responsible design).

• "How do you stay current with advancements in AI tools and their application in product design?" (Evaluate continuous learning and adaptability).

• "Describe your experience working in a startup or high-growth environment. What do you find most rewarding and most challenging?" (Assess cultural fit and resilience). Portfolio Presentation Strategy:

• Structure for Impact: Organize your portfolio to highlight your most relevant work first, especially B2B SaaS, AI, and complex workflow projects.

• Tell the Story: For each case study, clearly articulate the problem, your role, your design process (research, ideation, iteration), key decisions, and the measurable outcomes. Emphasize the "why" behind your design choices.

• Show, Don't Just Tell: Use visuals effectively, including high-fidelity mockups, interactive prototypes (if possible), and data visualizations that demonstrate impact.

• Discuss AI Integration: Be prepared to specifically discuss your experience with AI tools and how you've approached designing for AI features, focusing on trust and usability.

• Prepare for Code Interaction: If you mention working with code for polish, be ready to briefly discuss your experience or approach.

📝 Enhancement Note: Interview preparation should focus on demonstrating a deep understanding of AI product design principles, a strong grasp of B2B SaaS workflows, and the ability to translate complex technical capabilities into user-friendly and valuable experiences.

📌 Application Steps

To apply for this Senior/Staff Product Designer position:

• Submit your application through the provided link on Ashby HQ.

• Tailor Your Resume: Highlight your 5+ years of experience in B2B SaaS, complex workflows, and data-heavy products. Emphasize your broad design skills (visual, interaction, product thinking, design systems) and any experience with AI tools or agentic AI.

• Curate Your Portfolio: Ensure it showcases shipped products, particularly those involving complex B2B SaaS, AI features, or intricate workflows. Include examples of runnable prototypes and clearly articulate your design process and impact.

• Prepare Your Narrative: Be ready to discuss your approach to designing for AI, building trust, navigating ambiguity, and collaborating with cross-functional teams. Practice presenting your portfolio case studies, focusing on the business value and user impact.

• Research Clera: Understand their mission, product, and the procurement domain. Consider how your design philosophy aligns with their goal of making AI trustworthy and useful for industrial companies.

⚠️ 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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