Senior Product Designer

📍 Job Overview

Job Title: Senior Product Designer

Company: Rasa

Location: Berlin, Germany (Remote within UK, Germany, or Serbia)

Job Type: FULL_TIME

Category: Product Design / User Experience

Date Posted: June 05, 2026

Experience Level: 5-10 Years

🚀 Role Summary

• Lead the end-to-end user experience vision and design process for core product areas, including conversational AI, coding agents, and copilot experiences, ensuring Rasa's platform remains at the forefront of evolving customer needs.

• Drive product strategy and roadmap development in close collaboration with Product Managers and Engineering counterparts, translating complex AI technologies into intuitive and accessible interfaces for both technical and non-technical users.

• Conduct comprehensive user research, usability testing, and customer interviews to ensure a deeply user-centered design approach, informing product decisions with quantitative and qualitative data.

• Provide critical design feedback and ensure a cohesive, unified user experience across Rasa's entire product portfolio, maintaining brand consistency and high-quality design standards.

• Stay abreast of industry trends, tools, and best practices in AI, ML, and LLM technologies to continuously innovate and elevate the product's design and functionality.

📝 Enhancement Note: This role is explicitly for a Senior Product Designer focusing on AI-native products, specifically conversational AI and coding agents. The emphasis on a "startup" environment suggests a need for adaptability, ownership, and a hands-on approach. The target candidate must possess a strong understanding of technical complexities within AI/ML, coupled with excellent communication and collaboration skills, to effectively bridge the gap between intricate technology and user needs.

📈 Primary Responsibilities

• Define and champion the user experience strategy for key product domains, influencing the team's roadmap and objectives.

• Own the entire design lifecycle: user research, ideation, wireframing, prototyping, user testing, and final launch.

• Actively contribute to the design quality and consistency of adjacent product areas to create a seamless user journey across the Rasa platform.

• Execute user research initiatives, including interviews and usability studies, to validate design hypotheses and gather actionable insights.

• Articulate and present quantitative and qualitative data findings to the product team to foster a shared understanding of user behavior and product performance.

• Design intuitive and approachable user interfaces that democratize advanced AI technologies for a broader audience.

• Proactively identify future user needs and develop scalable design solutions that address complex technical and user challenges.

• Research and integrate emerging industry trends, tools, and design methodologies to maintain a cutting-edge product offering.

📝 Enhancement Note: The responsibilities highlight a strong emphasis on strategic thinking, end-to-end ownership, and data-driven decision-making. The expectation to "design approachable, intuitive interfaces that make advanced AI technologies accessible to non-technical users" is a critical differentiator for this role, requiring a nuanced understanding of both user needs and technical capabilities.

🎓 Skills & Qualifications

Education: While no specific degree is mandated, a strong educational foundation in Design, Human-Computer Interaction, Computer Science, or a related field is beneficial.

Experience: 5-10 years of experience in product design, with a significant focus on B2B products and AI-native applications.

Required Skills:

• Proven expertise in leading the end-to-end product design process, from concept to launch.

• Strong command of user research methodologies, including qualitative and quantitative data analysis.

• Proficiency in creating wireframes, interactive prototypes, and high-fidelity UI designs.

• Demonstrated ability to conduct effective usability testing and synthesize findings into actionable design improvements.

• Experience designing for complex technical domains, particularly AI, ML, or developer tooling.

• Excellent communication and presentation skills, with the ability to articulate design decisions and data insights clearly.

• Ability to thrive in an ambiguous, fast-paced startup environment, demonstrating scrappiness and adaptability.

• Strong collaboration skills, with experience working effectively in cross-functional teams (Product, Engineering).

• A comprehensive product design portfolio showcasing in-depth case studies. Preferred Skills:

• Experience designing specifically for conversational AI, coding agents, or similar AI-native products.

• Familiarity with LLM behaviors and AI interaction patterns.

• Understanding of agent architectures and technical complexities in AI development.

• Experience working with no-code UI platforms.

• Ability to engage meaningfully in technical discussions with engineering teams.

📝 Enhancement Note: The description emphasizes a "think like a coder" mentality without requiring actual coding skills, indicating a need for deep technical empathy. The requirement for a portfolio with "in-depth case studies" is crucial, suggesting that candidates should be prepared to showcase their process, problem-solving, and impact.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Showcase a minimum of 2-3 in-depth case studies demonstrating the full product design lifecycle.

• Clearly articulate the problem statement, user research findings, design process, and iterative improvements.

• Highlight the impact of your design decisions using both qualitative and quantitative data.

• Include examples of designing for complex technical products, ideally within AI, ML, or developer tools.

• Demonstrate an understanding of B2B product design principles and user needs. Process Documentation:

• Detail your approach to user research, including methodologies used and how insights were synthesized.

• Explain your prototyping and user testing processes, including tools and feedback incorporation.

• Document your collaboration process with product managers and engineers, highlighting how cross-functional alignment was achieved.

• Showcase how you translated technical constraints and AI capabilities into user-friendly design solutions.

• Illustrate how you measured the success of your designs post-launch, referencing key metrics and ROI.

📝 Enhancement Note: The portfolio is a critical component for this role. Candidates must be able to demonstrate a rigorous design process, a deep understanding of user-centric methodologies, and the ability to articulate the impact of their work through concrete examples and data. The focus is on the how and why behind design decisions, especially in a technically complex domain.

💵 Compensation & Benefits

Salary Range: Based on industry benchmarks for Senior Product Designers in Germany with 5-10 years of experience, and considering the remote nature and specified regions (UK, Serbia), a competitive range is estimated.

• Estimated Annual Salary: €55,000 - €100,000 (EUR)

• Note: This range is an estimate and can vary based on candidate experience, specific skill set, and final negotiation. The upper end reflects significant experience and specialized AI/ML design expertise.

Benefits:

• Flexible working hours and dedicated remote budget.

• Professional development stipend and 6 paid education days per year.

• Provided Macbook and other necessary tech equipment.

• Regular remote team events and an annual company-wide offsite.

• Health benefits: Vitality Health (UK only) or optional Private Health (Serbia).

• Equity options.

• Comprehensive benefits information available per location: Rasa Perks & Benefits

Working Hours: 40 hours per week, with flexibility in scheduling to accommodate remote work and different time zones within the approved regions.

📝 Enhancement Note: The salary range is derived from publicly available compensation data for Senior Product Designers in Germany and similar tech hubs, adjusted for the specified remote work locations (UK, Serbia). The provided AI salary range (55k-100k EUR) aligns with this estimate, suggesting a strong compensation package is offered. The benefits package is robust, emphasizing professional growth and work-life balance.

🎯 Team & Company Context

🏢 Company Culture

Industry: Artificial Intelligence (AI), Generative AI, Conversational AI, Software Development. Rasa is a leader in this rapidly evolving space, providing enterprises with tools to build advanced AI assistants.

Company Size: Rasa is a remote-first company founded in 2016, with a global presence and a lean, newly shaped product design function. While the exact employee count isn't specified, it operates as a growth-stage startup with significant funding.

Founded: 2016. The company's founding year indicates a mature yet agile approach, balancing established practices with the innovation required in the AI sector.

Team Structure:

• The Product Design function consists of 3 designers, including the Director of Product Design.

• Designers are embedded within wider Product departments and work in tandem with Product Manager counterparts.

• The team is distributed across Europe, with Berlin being a natural hub for Product and Engineering, though the design team spans different cities. Methodology:

• Data-Driven Design: Strong emphasis on using quantitative and qualitative data to inform design decisions and demonstrate impact.

• User-Centered Approach: Commitment to understanding and addressing user needs through research and testing.

• Agile & Iterative: Operating in a startup environment requires fast thinking, scrappiness, and comfort with ambiguity and rapid evolution.

• Cross-Functional Collaboration: Close partnership with Product and Engineering is fundamental to success.

Company Website: https://rasa.com/

📝 Enhancement Note: Rasa's culture is built around communication, courage, experimentation, and vision, as reflected in their messaging. The "startup" nature implies a dynamic, collaborative environment where individuals are expected to take initiative. The emphasis on inclusivity and growth is evident.

📈 Career & Growth Analysis

Operations Career Level: Senior Product Designer. This role signifies a mid-to-senior level position with significant responsibility for leading design initiatives, influencing product strategy, and mentoring junior team members implicitly through collaboration and feedback.

Reporting Structure: Reports to the Director of Product Design. Works closely with Product Managers and Engineering counterparts within a cross-functional team.

Operations Impact: The Senior Product Designer is pivotal in shaping the user experience of Rasa's core AI products, directly impacting customer adoption, satisfaction, and the company's ability to provide accessible AI solutions. Their work directly influences product strategy, competitive positioning, and revenue generation by ensuring the platform is intuitive and valuable.

Growth Opportunities:

• Skill Specialization: Deepen expertise in AI/ML design, conversational AI, and complex technical product design.

• Leadership Development: Opportunity to influence design direction, mentor peers, and potentially grow into a Lead Designer or Product Design Manager role as the team expands.

• Strategic Influence: Play a key role in shaping product strategy and roadmap through design leadership and data-driven insights.

• Industry Exposure: Work at the forefront of generative AI, gaining invaluable experience in a high-growth technology sector.

• Professional Development: Utilize dedicated budget and education days for continuous learning, conferences, and skill enhancement.

📝 Enhancement Note: The role offers significant growth potential beyond traditional design tasks, emphasizing strategic contribution and leadership within a burgeoning AI company. The lean team structure presents an opportunity for high-impact individual contributions and rapid career progression.

🌐 Work Environment

Office Type: Remote-first. While Berlin is a hub for some teams, the design function is distributed across Europe. This implies a focus on asynchronous communication and virtual collaboration tools.

Office Location(s): Remote work is permitted within the United Kingdom, Germany, and Serbia. Berlin is mentioned as a natural hub for product and engineering, suggesting potential for optional in-person collaboration days or meetups.

Workspace Context:

• Collaborative Digital Environment: Expect heavy reliance on digital collaboration tools (e.g., Slack, Zoom, Miro, Figma) for communication, ideation, and design reviews.

• Technology Access: Provided with a Macbook and other necessary tech to ensure productivity in a remote setting.

• Team Interaction: While distributed, the company fosters connection through regular remote team events and an annual company-wide offsite, encouraging both virtual and occasional in-person interaction.

Work Schedule: Flexible hours are offered, accommodating remote work across different European time zones. A standard 40-hour work week is expected, with the flexibility to manage personal schedules around core collaboration needs.

📝 Enhancement Note: The remote-first nature of Rasa requires strong self-discipline, proactive communication, and comfort with digital collaboration tools. The flexibility offered aims to support work-life balance while maintaining team cohesion and productivity.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: Review of application, resume, and portfolio to assess qualifications and alignment with the role's requirements.

• Portfolio Review & Discussion: A dedicated session to walk through selected case studies, discussing design process, problem-solving, and impact. Expect questions probing technical understanding and strategic thinking.

• Cross-Functional Interview: Discussion with Product Management and Engineering counterparts to assess collaboration style, technical empathy, and ability to work within a cross-functional team.

• Hiring Manager Interview: Deeper dive into experience, leadership potential, cultural fit, and alignment with Rasa's mission and values.

• Final Round/Offer: Potential for an additional conversation or assessment before an offer is extended.

Portfolio Review Tips:

• Curate Strategically: Select 3-4 of your strongest, most relevant case studies that highlight your experience with B2B products, AI/ML, and complex technical challenges.

• Tell a Story: Structure each case study to clearly articulate the problem, your role, the design process (research, ideation, iteration), your solutions, and the measurable impact. Use visuals effectively.

• Highlight Technical Empathy: Emphasize how you approached understanding and designing for complex technical concepts, even without coding expertise. Showcase your ability to communicate with engineers.

• Quantify Impact: Wherever possible, use data (user growth, engagement metrics, conversion rates, efficiency gains) to demonstrate the business and user value of your designs.

• Be Prepared for Questions: Anticipate questions about your decision-making process, how you handle ambiguity, your collaboration style, and how you balance technical, user, and business needs.

Challenge Preparation:

• While not explicitly mentioned, be prepared for potential design exercises or whiteboarding sessions that assess problem-solving skills, ideation, and your approach to tackling a design challenge within the AI/conversational space.

• Practice articulating your thoughts clearly and thinking aloud during any problem-solving exercises.

📝 Enhancement Note: The portfolio review is a critical gate. Candidates must be prepared to deeply explain their design process, rationale, and the impact of their work, especially concerning technical complexity and user accessibility in AI products.

🛠 Tools & Technology Stack

Primary Tools:

• Design & Prototyping: Figma (highly probable for collaboration and design system management), Sketch, Adobe Creative Suite.

• Collaboration & Communication: Slack, Zoom, Google Workspace.

• Whiteboarding & Ideation: Miro, FigJam.

Analytics & Reporting:

• Experience with user analytics platforms (e.g., Amplitude, Mixpanel, Google Analytics) to interpret quantitative data.

• Familiarity with data visualization tools for presenting insights.

• Ability to synthesize qualitative feedback from user interviews and usability testing. CRM & Automation:

• While not directly a CRM role, understanding how user data flows from various touchpoints into product and business systems is beneficial.

• Familiarity with tools that support A/B testing and feature flagging for iterative product development.

📝 Enhancement Note: While specific tools aren't listed, proficiency with modern collaborative design tools like Figma is almost certainly expected. The ability to interpret data from analytics platforms is key, given the emphasis on data-driven design. Candidates should highlight their experience with tools that facilitate remote collaboration and complex design workflows.

👥 Team Culture & Values

Operations Values:

• Conversation & Connection: Fostering open communication and building relationships internally and externally.

• Courage & Candor: Having the courage to ask "why" and provide honest, constructive feedback.

• Experimentation & Verve: Embracing iterative development, learning from failures, and approaching work with enthusiasm.

• Vision & Compassion: Aiming to transform interactions through AI with a focus on user empathy and understanding.

• Inclusivity: Commitment to growing a diverse team and ensuring everyone feels valued.

Collaboration Style:

• Cross-functional Partnership: Working closely with Product Managers and Engineers is central to the design process.

• Respectful Peer Interaction: Emphasis on mutual respect and constructive feedback exchange within the design and product teams.

• Remote-First Communication: Proactive, clear, and asynchronous communication is essential for a distributed team.

• Transparency: Sharing insights, data, and work-in-progress openly with peers and stakeholders.

📝 Enhancement Note: Rasa's culture values direct communication, a proactive and experimental mindset, and a strong sense of empathy. For a designer, this means being comfortable sharing work early, giving and receiving feedback openly, and collaborating closely with technical and product stakeholders.

⚡ Challenges & Growth Opportunities

Challenges:

• Rapidly Evolving AI Landscape: The ML and LLM space changes quickly, requiring constant learning and adaptation to new technologies and user expectations.

• Ambiguity and Pace: As a startup, priorities can shift, and working with new technologies often involves inherent ambiguity. Candidates must be comfortable navigating this.

• Balancing Technical Complexity with User Simplicity: Designing intuitive interfaces for advanced AI requires a deep understanding of technical constraints while abstracting complexity for non-technical users.

• Distributed Team Collaboration: Ensuring effective communication and collaboration across different time zones and locations requires deliberate effort.

Learning & Development Opportunities:

• Cutting-Edge Technology: Direct experience with generative AI, LLMs, and conversational AI technologies.

• Strategic Influence: Opportunity to shape product strategy and contribute to the growth of a leading AI company.

• Professional Growth: Access to a dedicated professional development budget and education days for continuous skill enhancement.

• Mentorship: Potential to learn from and collaborate with experienced product leaders and engineers.

📝 Enhancement Note: The primary challenge lies in staying ahead in a fast-moving technological field and translating that into usable, accessible product experiences. The growth opportunities are significant, offering deep expertise in a high-demand area and the chance to influence a company's trajectory.

💡 Interview Preparation

Strategy Questions:

• "Describe a time you had to design for a technically complex product. How did you approach understanding the underlying technology and translating it into a user-friendly experience?" (Focus on your process, research, and how you bridged the gap.)

• "How do you balance user needs, business goals, and technical constraints when making design decisions?" (Prepare examples demonstrating trade-offs and prioritization.)

• "Walk me through your process for conducting user research and usability testing. How do you synthesize findings to drive product decisions?" (Highlight your methodology and data interpretation skills.)

• "How do you ensure consistency and a unified experience across a product portfolio, especially when working with multiple teams?" (Showcase your understanding of design systems and cross-functional alignment.) Company & Culture Questions:

• "Why Rasa? What interests you about our mission and our work in conversational AI?" (Research Rasa's products, values, and recent news.)

• "How do you approach collaboration with Product Managers and Engineers?" (Provide examples of successful cross-functional partnerships.)

• "Describe a situation where you had to work with ambiguity. How did you navigate it?" (Show your adaptability and problem-solving approach.)

• "How do you stay updated on industry trends, particularly in AI and LLMs?" (Demonstrate your commitment to continuous learning.) Portfolio Presentation Strategy:

• Structure is Key: For each case study, clearly define the problem, your role, the process (research, ideation, iteration), your specific contributions, the solution, and the measurable outcomes.

• Visuals Matter: Use mockups, wireframes, user flows, and data visualizations to illustrate your points effectively.

• Focus on Rationale: Be prepared to explain why you made certain design decisions. Connect your choices back to user research, data, or strategic goals.

• Technical Empathy: Explicitly discuss how you engaged with the technical aspects of the product and how that informed your design.

• Quantify Impact: Emphasize the results of your work using metrics. If exact metrics are confidential, discuss the types of metrics you would track and why.

📝 Enhancement Note: Candidates should prepare to discuss their design process in detail, demonstrate technical empathy, and articulate the impact of their work using both qualitative and quantitative data. Understanding Rasa's specific AI focus and startup culture will be crucial for demonstrating fit.

📌 Application Steps

To apply for this Senior Product Designer position:

• Submit your application through the provided link on Ashby.

• Portfolio Customization: Ensure your portfolio is easily accessible and highlights 2-3 in-depth case studies that align with the requirements, particularly B2B, AI/ML, and end-to-end design process.

• Resume Optimization: Tailor your resume to emphasize experience in product design, UX research, B2B products, AI/ML technologies, and cross-functional collaboration. Use keywords from the job description.

• Interview Preparation: Practice articulating your design process, decision-making rationale, and the impact of your work. Prepare specific examples for behavioral and situational questions.

• Company Research: Thoroughly research Rasa's products, mission, values, and recent developments in the AI space to demonstrate genuine interest and cultural alignment.

⚠️ 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.