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 Support

Date Posted: 2026-09-08

Experience Level: 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 for non-technical users.

• Develop innovative interaction patterns that foster natural, trustworthy collaboration between AI agents and human judgment in complex B2B SaaS workflows.

• Create tangible, short-horizon vision work (3-6 months) through prototypes and artifacts to guide product development and engineering teams.

• Enhance overall product craft and coherence as the platform scales in features and engineering velocity.

• Collaborate closely with Product Management, Engineering, and domain experts to translate intricate procurement processes into intuitive and efficient user interfaces.

📝 Enhancement Note: While this role is primarily in Product Design, its focus on an AI-powered procurement platform and translating complex workflows into usable experiences directly impacts Go-To-Market (GTM) efficiency and operational effectiveness. The success of this platform hinges on seamless user adoption and clear communication of AI benefits, which are core GTM operational considerations. Therefore, this role can be categorized under Product Design with a strong GTM Operations Support aspect.

📈 Primary Responsibilities

• Architect and design intuitive interfaces for agentic AI features, clearly communicating AI status, findings, and actions to non-technical procurement professionals.

• Craft interaction models that enable seamless collaboration between AI and human decision-making, ensuring AI augments rather than disrupts existing workflows.

• Develop and present runnable product prototypes, utilizing tools beyond standard design software and potentially incorporating code for last-mile polish.

• Drive product craft and visual coherence across the platform, ensuring a high standard of user experience as new features are rapidly developed.

• Collaborate with engineering teams on the implementation of AI-driven features, providing design support and ensuring fidelity to the intended user experience.

• Translate complex procurement workflows and data into clear, actionable insights and user-friendly interfaces, focusing on driving adoption and ROI for customers.

• Contribute to the product vision by creating tangible artifacts and prototypes that guide the team's focus for the next 3-6 months.

📝 Enhancement Note: The responsibility to "Work directly in code for last-mile polish, checking out PRs and tweaking interactions before shipping" indicates a highly integrated design and development process. This suggests a need for a designer who not only understands user experience but also has a strong grasp of implementation details and can contribute directly to code for fine-tuning. This is a significant differentiator for senior-level designers in fast-paced environments.

🎓 Skills & Qualifications

Education: Bachelor's degree in Design, HCI, Computer Science, or a related field, or equivalent practical experience.

Experience: 5+ years of experience as a Senior or Staff Product Designer, with a proven track record of shipping B2B SaaS products, complex workflows, or data-intensive applications. Startup or high-growth company experience is highly valued.

Required Skills:

• Comprehensive expertise in visual design, interaction design, product thinking, and systems design.

• Proven ability to prototype runnable product experiences, extending beyond standard design tools like Figma.

• Demonstrated experience in designing for complex workflows, data-heavy products, or B2B SaaS environments.

• A well-developed point of view on designing trustworthy AI product experiences, including transparency and appropriate automation strategies.

• Comfort with ambiguity and a strong capability to invent new interaction patterns.

• Hands-on experience with AI tools, including large language model assistants and AI-native coding tools, integrated into the design, research, and prototyping workflow.

• Ability to collaborate effectively with product managers, engineers, and domain experts. Preferred Skills:

• Experience designing agentic or autonomous AI features.

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

• Ability to make last-mile interaction improvements directly in code.

📝 Enhancement Note: The requirement for "5 or more years as a senior or staff product designer" suggests a need for candidates who can operate with a high degree of autonomy, mentor junior designers (if applicable), and contribute strategically to product direction. The emphasis on a "shipped portfolio" in specific areas like B2B SaaS and complex workflows indicates the company values demonstrable impact and practical application of design skills over theoretical knowledge.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Showcase a minimum of 3-5 significant projects that demonstrate end-to-end product design ownership, ideally within B2B SaaS, complex workflows, or data-heavy applications.

• Clearly articulate the problem statement, your design process, key challenges, and the impact of your solutions, quantifying results where possible (e.g., efficiency gains, adoption rates, cost savings).

• Include examples of interaction design patterns, visual design systems, and how you approached system-level design challenges.

• Demonstrate your ability to prototype runnable experiences and, where applicable, highlight contributions involving code for last-mile polish.

• Present a clear understanding of AI product design principles, showcasing how you've addressed transparency, trust, and user adoption for AI-driven features. Process Documentation:

• For each project, detail your user research methodology, problem definition, ideation process, and iterative design cycles.

• Explain how you collaborated with cross-functional teams (Product Management, Engineering, domain experts) throughout the product development lifecycle.

• Document your approach to creating and maintaining design systems or style guides to ensure product coherence and scalability.

• Illustrate your ability to translate complex business requirements and technical constraints into elegant and functional user experiences.

• Show examples of how you've used AI tools in your design, research, or prototyping workflow.

📝 Enhancement Note: The explicit mention of "prototypes runnable product experiences beyond Figma" and "make last-mile interaction improvements in code" implies that a portfolio should ideally include examples or descriptions of work where the candidate has directly contributed to or understood code implementation for UI polish. This suggests a need for designers who can bridge the gap between design and engineering, ensuring a high degree of fidelity in the final product.

💵 Compensation & Benefits

Salary Range:

Given the Senior/Staff level and location in Munich, Germany, a competitive salary range for a Product Designer with 5-10 years of experience in B2B SaaS and AI product design would typically fall between €75,000 and €100,000 annually. This estimate is based on typical compensation benchmarks for experienced design professionals in major German tech hubs, considering the specialized nature of AI product design and the high-growth startup environment.

Benefits:

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

• Comprehensive health insurance and benefits package tailored to German employment standards.

• Opportunities for professional development, including conference attendance and specialized training in AI and design.

• A collaborative and innovative work environment with a focus on cutting-edge AI technology.

• Potential for significant impact on a product shaping the future of procurement.

• Visa sponsorship is not available for this role. Working Hours:

• Standard full-time working hours, typically around 40 hours per week, with flexibility often provided to accommodate project deadlines and personal needs. The on-site nature of the role means adherence to local German work regulations is expected.

📝 Enhancement Note: The salary range is an estimate based on publicly available data for Senior/Staff Product Designers in Munich, Germany, for roles involving B2B SaaS and AI. Specific compensation will depend on the candidate's experience, interview performance, and the company's compensation philosophy. The lack of visa sponsorship is a critical detail for non-EU candidates.

🎯 Team & Company Context

🏢 Company Culture

Industry: Technology / Software / AI / Procurement Platform. Clera is operating in the rapidly evolving space of AI-driven enterprise software, specifically targeting the procurement sector. This industry is characterized by a drive for efficiency, cost reduction, and digital transformation, making AI a key enabler.

Company Size: Small, focused design team within a growing startup. This implies a dynamic, fast-paced environment where individual contributions have a significant impact. Decisions are likely made quickly, and there's a strong emphasis on ownership and execution.

Founded: Information not directly provided, but the company is described as a startup or high-growth company, suggesting it's likely in its early to growth stages, focusing on product-market fit and scaling operations.

Team Structure:

• A small, dedicated design team, likely reporting into a Head of Design or Product Lead.

• Close collaboration with Product Management and Engineering is a core tenet of the team's operational model.

• Cross-functional collaboration is essential, with designers working directly with engineers and product managers to translate complex requirements into user-centric solutions. Methodology:

• Data-driven decision-making, leveraging user research and analytics to inform design choices.

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

• Emphasis on creating tangible vision work and shipping features on short horizons.

• A strong focus on translating complex AI capabilities into understandable and usable product experiences.

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

📝 Enhancement Note: The company's focus on an "AI-powered procurement platform" and "agentic AI capabilities" places it at the forefront of technological innovation. This suggests a culture that values forward-thinking, experimentation, and a deep understanding of how AI can revolutionize traditional business processes. The "small, focused design team" implies a collaborative, hands-on environment where designers are integral to the product's success.

📈 Career & Growth Analysis

Operations Career Level: Senior/Staff Product Designer. This level signifies a high degree of autonomy, strategic input, and the ability to tackle complex design challenges independently. The role requires not only execution but also the ability to influence product direction and mentor others. Designers at this level are expected to be leaders in their domain.

Reporting Structure: Likely reports to a Head of Design, Director of Product, or CTO, depending on the company's organizational structure. The role involves close collaboration with Product Managers and Engineering Leads, forming a core product triad for feature development.

Operations Impact: The success of the AI-powered procurement platform is directly tied to its user experience and adoption. This role has a critical impact on:

• Customer Adoption & ROI: Designing intuitive interfaces ensures customers can leverage powerful AI features, leading to real cost savings and operational efficiencies.

• Product Differentiation: Innovative design for AI interaction can be a key differentiator in a competitive B2B SaaS market.

• Engineering Efficiency: Clear, well-defined design artifacts and prototypes reduce ambiguity for engineering, accelerating development cycles.

• Trust & Reliability: Designing for transparency and trustworthiness in AI is crucial for customer confidence and long-term platform success.

Growth Opportunities:

• Leadership in AI Design: Become a subject matter expert in designing for agentic AI, a rapidly growing and high-demand field.

• Product Strategy Influence: Contribute significantly to the product roadmap and strategic vision for Clera's AI platform.

• Skill Expansion: Opportunity to deepen expertise in areas like systems design, coding for polish, and advanced prototyping.

• Career Progression: Potential to move into Lead Product Designer, Head of Design, or Product Management roles as the company scales.

• Domain Expertise: Develop deep knowledge of procurement and industrial B2B workflows.

📝 Enhancement Note: The Senior/Staff designation, combined with the focus on AI and complex B2B SaaS, positions this role as a significant growth opportunity. Candidates can expect to shape product direction and develop highly specialized skills in a cutting-edge domain, offering a clear path for career advancement within the company or the broader AI/SaaS industry.

🌐 Work Environment

Office Type: On-site in Munich. This indicates a traditional office-based work environment where in-person collaboration is prioritized.

Office Location(s): Munich, Bavaria, Germany. A major European tech hub, offering a vibrant ecosystem for tech professionals.

Workspace Context:

• Collaborative Environment: Expect a dynamic workspace designed for close interaction between design, product, and engineering teams. This fosters rapid iteration and knowledge sharing.

• Tools & Technology: Access to industry-standard design and prototyping tools, with an emphasis on leveraging AI tools directly in the workflow. Potential for exposure to cutting-edge AI development environments.

• Team Interaction: Frequent opportunities for design critiques, brainstorming sessions, and direct collaboration with engineers and product managers to refine features and user flows.

Work Schedule:

• The role is full-time, requiring presence at the Munich office. While standard office hours are expected, a startup environment often involves a degree of flexibility to meet project demands, balanced with local labor laws. The focus is on delivering results and collaborating effectively within the team.

📝 Enhancement Note: The on-site requirement in Munich emphasizes the company's value for in-person collaboration, which can be particularly beneficial for complex design challenges and fostering strong team cohesion in a startup setting. This environment is ideal for designers who thrive on direct interaction and rapid feedback loops.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A brief call with a recruiter to assess basic qualifications, cultural fit, and interest in the role.

• Portfolio Review & Design Challenge: Presentation of your portfolio, focusing on relevant B2B SaaS, complex workflow, or AI-related projects. This may be followed by a design exercise or case study discussion tailored to the role's challenges.

• Technical/Design Deep Dive: In-depth discussions with senior designers and/or the Head of Design to assess your design thinking, interaction design skills, systems design capabilities, and understanding of AI product principles.

• Cross-Functional Interviews: Meetings with Product Managers and Engineers to evaluate collaboration style, communication skills, and ability to translate complex requirements into tangible solutions.

• Final Interview: A discussion with leadership (e.g., CTO, CEO) to assess strategic thinking, cultural alignment, and long-term potential.

Portfolio Review Tips:

• Curate Selectively: Focus on 2-3 projects that best showcase your experience with B2B SaaS, complex workflows, or AI. Highlight your specific contributions and the impact of your work.

• Tell a Story: For each project, clearly articulate the problem, your process, the challenges faced, your design decisions, and the quantifiable outcomes. Use visuals effectively.

• Demonstrate AI Understanding: Explicitly discuss your approach to designing for AI, including trust, transparency, and user adoption. If you've used AI tools in your process, be sure to mention it.

• Showcase Code Proficiency: If possible, highlight projects where you contributed to last-mile polish in code or have a strong understanding of implementation constraints.

• Be Prepared for Questions: Anticipate questions about your design philosophy, how you handle ambiguity, your collaboration style, and your perspective on AI ethics in product design.

Challenge Preparation:

• Understand the Domain: Familiarize yourself with procurement workflows, common challenges, and the potential impact of AI in this space.

• Focus on Interaction: Prepare to discuss how you would design interactions for agentic AI, focusing on user control, transparency, and feedback mechanisms.

• Think Systemically: Be ready to discuss how your design decisions fit into a larger product system and how they impact scalability and coherence.

• Practice Articulation: Clearly communicate your thought process, design rationale, and potential trade-offs.

📝 Enhancement Note: The emphasis on "prototypes runnable product experiences beyond Figma" and "make last-mile interaction improvements in code" is critical for portfolio preparation. Candidates should be ready to discuss or even demonstrate instances where they've worked with code to refine UI, or at least articulate a strong understanding of how design translates into implementable code. This signals a hands-on, engineering-aware design approach.

🛠 Tools & Technology Stack

Primary Tools:

• Design & Prototyping: Figma (standard for UI/UX design), potentially alongside other tools like Sketch, Adobe Creative Suite.

• Prototyping (Advanced): Tools that allow for runnable prototypes beyond standard fidelity, possibly including code-based prototyping frameworks or integration with development environments.

• AI Tools: Regular hands-on use of Large Language Model (LLM) assistants (e.g., ChatGPT, Bard, Claude) for research, ideation, and content generation. AI-native coding tools for design assistance.

Analytics & Reporting:

• Familiarity with product analytics platforms (e.g., Amplitude, Mixpanel, Google Analytics) to understand user behavior and measure design impact.

• Ability to interpret data to inform design decisions and iterate on features. CRM & Automation:

• While not a direct CRM role, understanding how design impacts customer-facing platforms and workflows is beneficial. Familiarity with enterprise software ecosystems.

• Awareness of automation principles and how AI features contribute to process automation within the procurement domain.

📝 Enhancement Note: The explicit mention of "regular hands-on use of AI tools such as large language model assistants and AI-native coding tools" is a key differentiator. Candidates should be prepared to discuss their experience and proficiency with these tools, not just as end-users but as integrated parts of their design workflow.

👥 Team Culture & Values

Operations Values:

• User-Centricity: A deep commitment to understanding and solving user problems, particularly for non-technical professionals interacting with complex AI.

• Innovation & Experimentation: Encouragement to explore new interaction patterns and leverage cutting-edge AI technologies to push product boundaries.

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

• Craftsmanship & Quality: A dedication to high standards in product design, from initial concept to last-mile polish.

• Data-Informed Decision Making: Using research and analytics to validate design hypotheses and measure impact.

Collaboration Style:

• Integrated Triad: Designers work closely with Product Managers and Engineers in a tight feedback loop to ensure alignment and efficient development.

• Proactive Communication: Regular sharing of ideas, prototypes, and feedback to foster a shared understanding and collective problem-solving.

• Cross-Functional Expertise: Valuing input from domain experts, engineers, and product managers to create well-rounded solutions.

• Iterative Improvement: A culture of continuous refinement based on user feedback and performance data.

📝 Enhancement Note: The emphasis on "trustworthy AI product experiences" and "natural, reliable design" suggests a core value around ethical AI and user empowerment. This implies a culture that prioritizes not just functionality but also the user's comfort and confidence when interacting with advanced technologies.

⚡ Challenges & Growth Opportunities

Challenges:

• Designing for Ambiguity: Defining novel interaction patterns for agentic AI where established best practices are still emerging.

• Balancing AI Power with User Control: Ensuring that powerful AI features are perceivable, understandable, and controllable by non-technical users.

• Maintaining Product Coherence: As engineering velocity increases, ensuring the design system and overall product craft remain high-quality and consistent.

• Translating Complex Workflows: Effectively simplifying intricate procurement processes into intuitive user experiences without losing critical functionality.

• On-site Collaboration in a Hybrid World: Adapting to a full on-site model in a market that often offers hybrid or remote flexibility.

Learning & Development Opportunities:

• AI Product Design Specialization: Become a leader in designing for sophisticated AI capabilities, a highly sought-after skill.

• Deep Domain Expertise: Gain in-depth knowledge of industrial procurement and supply chain operations.

• Coding for Design Polish: Enhance skills in front-end development for fine-tuning user interfaces.

• Strategic Product Influence: Contribute to the high-level product strategy and vision of an AI-first company.

• Startup Growth Experience: Develop skills and gain experience in a fast-paced, high-growth startup environment.

📝 Enhancement Note: The challenge of "balancing AI power with user control" is central to designing effective AI products. Candidates should be prepared to discuss strategies for managing user perception of AI capabilities, ensuring transparency, and providing appropriate levels of user agency.

💡 Interview Preparation

Strategy Questions:

• "How would you approach designing the initial user experience for an agentic AI that handles purchase order approvals?"

• "Describe a time you had to design for a complex B2B workflow. What were the key challenges and how did you overcome them?"

• "What are your core principles for designing trustworthy AI product experiences, and how would you apply them to Clera's procurement platform?"

• "How do you balance the need for rapid feature iteration with maintaining high product craft and design coherence?" Company & Culture Questions:

• "What excites you most about Clera's mission and the opportunity to design for an AI-powered procurement platform?"

• "How do you see your skills in visual, interaction, and systems design contributing to our small, focused design team?"

• "Describe your experience working with engineers and product managers. What makes for a successful cross-functional collaboration?"

• "How do you stay updated on advancements in AI and their implications for product design?" Portfolio Presentation Strategy:

• Focus on Impact: For each project, clearly articulate the business problem, your role, the design process, and the quantifiable results achieved (e.g., improved efficiency, user adoption, cost savings).

• Showcase AI Design Thinking: Be prepared to walk through your thought process for designing AI features, emphasizing how you addressed trust, transparency, and user control.

• Highlight Code Contribution (if applicable): If you have examples of using code for UI polish, be ready to discuss them and their impact on the final product quality.

• Engage and Discuss: Treat the portfolio review as a collaborative discussion, inviting questions and demonstrating your ability to articulate design rationale clearly and concisely.

📝 Enhancement Note: Candidates should prepare specific examples that demonstrate their ability to translate complex technical concepts (like agentic AI) into simple, user-friendly interfaces. The ability to discuss the "last-mile polish" and how they've worked with code to achieve it will be a significant advantage.

📌 Application Steps

To apply for this Senior/Staff Product Designer position:

• Submit your application through the provided link on Ashby.

• Curate Your Portfolio: Select 2-3 of your strongest B2B SaaS, complex workflow, or AI-related projects. Ensure each project clearly demonstrates your design process, your specific contributions, and the measurable impact of your work. Highlight any experience with AI tools or designing for AI.

• Tailor Your Resume: Emphasize your experience with product design, interaction design, systems design, and your ability to prototype with code. Use keywords from the job description, such as "AI-powered procurement platform," "agentic AI," "B2B SaaS," and "complex workflows."

• Prepare for the Portfolio Review: Practice presenting your selected projects, focusing on storytelling, design rationale, and quantifiable outcomes. Be ready to discuss your approach to designing for AI and your experience with code-based UI polish.

• Research Clera: Understand Clera's mission, product, and the procurement industry. Consider how your design philosophy aligns with their focus on AI-driven efficiency and trustworthiness.

⚠️ 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.