Senior Product Designer

📍 Job Overview

Job Title: Senior Product Designer

Company: DeepL

Location: London, United Kingdom / Amsterdam, Netherlands

Job Type: FULL_TIME

Category: Product Design / AI Technology

Date Posted: 2026-09-02T00:00:00

Experience Level: Mid-Senior Level (4+ years)

Remote Status: Hybrid

🚀 Role Summary

• Shape the core translation experience of DeepL Translate, impacting millions of users globally through AI-driven product innovation.

• Drive the end-to-end design lifecycle for web applications, from problem discovery and user research to solution validation and impact measurement.

• Collaborate closely with Product Management and Engineering to define and execute a compelling product vision for a scalable, AI-first platform.

• Contribute to the evolution of DeepL's design craft, best practices, and design system within a thriving, international design community.

• Leverage qualitative and quantitative insights, storytelling, and stakeholder management to champion user-centered design solutions.

📝 Enhancement Note: This role is positioned as a Senior Product Designer, indicating a need for significant autonomy, strategic input, and the ability to mentor or guide junior designers. The emphasis on AI technology and a global product presence suggests a complex, high-impact environment where data-driven decision-making and scalable design solutions are paramount.

📈 Primary Responsibilities

• Lead the design process for key features within DeepL Translate, focusing on intuitive and trustworthy translation experiences for diverse user segments (B2C and B2B).

• Conduct generative and evaluative user research, including interviews and usability testing, to deeply understand user needs and validate design concepts.

• Partner with Product Managers and Engineering leads to gather requirements, define problem statements, and establish success metrics for new initiatives.

• Develop high-fidelity prototypes and detailed design specifications in Figma, ensuring seamless handoff to engineering teams.

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

• Occasionally make small code changes in production to iterate on designs or fix minor issues, demonstrating a hands-on approach.

• Articulate design rationale and present solutions effectively to cross-functional teams and stakeholders, driving buy-in through compelling storytelling and data.

• Utilize AI tools, such as Claude Code, to enhance design asset creation and prototyping efficiency.

• Champion user advocacy and ensure the design solutions align with DeepL's overall product strategy and business objectives.

• Actively participate in the broader design community at DeepL, sharing knowledge, providing feedback, and contributing to design best practices.

📝 Enhancement Note: The responsibility for making "small code changes in production" suggests a "product-led design" or "full-stack design" capability is valued, where designers are comfortable with some level of technical implementation or at least a deep understanding of front-end development to facilitate smoother integration.

🎓 Skills & Qualifications

Education: While no specific degree is mandated, a strong portfolio and proven experience in product design are paramount. A degree in Design, Human-Computer Interaction (HCI), or a related field is often beneficial.

Experience: Minimum of 4 years of professional experience in product design roles, specifically within product teams delivering design solutions for web applications.

Required Skills:

• Extensive experience in user-centered design processes, from discovery to delivery.

• Proficiency in Figma for designing, prototyping, and maintaining design artifacts.

• Demonstrated ability to conduct both qualitative (generative) and quantitative (evaluative) user research.

• Proven experience driving design initiatives throughout the entire product lifecycle (problem discovery, definition, solution evaluation, impact measurement).

• Strong understanding of design systems, including their creation, maintenance, and application.

• Excellent storytelling and presentation skills, with a proven ability to influence stakeholders and gain buy-in for design strategies.

• Ability to consistently leverage qualitative and quantitative insights to inform and guide design decisions.

• Experience designing for B2B audiences, with a keen eye for overall design aesthetics.

• Confidence in owning and co-owning design artifacts within a collaborative environment.

• Familiarity with using AI tools (e.g., Claude Code) to support design workflows, such as asset creation and prototyping.

• Experience working on products with a global presence and at scale.

• Fluent in English, with strong written and verbal communication skills. Preferred Skills:

• Experience in B2C design is considered a significant advantage.

• Familiarity with German or other languages.

• Experience with small code changes in production environments.

📝 Enhancement Note: The requirement for AI tool proficiency (Claude Code) is a forward-looking skill, indicating DeepL's commitment to leveraging AI in all aspects of their operations, including design. The emphasis on B2B experience with B2C as a bonus suggests the primary user base for core translation features might be professional, but a strong aesthetic sensibility is still crucial.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• A curated selection of case studies showcasing end-to-end product design projects for web applications.

• Detailed explanations of the design process, highlighting problem identification, user research methodologies, ideation, prototyping, and iteration.

• Clear articulation of the designer's specific role and contributions within each project.

• Demonstration of how qualitative and quantitative data informed design decisions.

• Examples of user-centered design principles in practice and their impact on user experience.

• Showcases proficiency with Figma for wireframing, prototyping, and final design delivery. Process Documentation:

• Case studies should clearly outline the design lifecycle management, from initial problem discovery and requirement gathering through to solution validation and post-launch analysis.

• Evidence of collaboration with cross-functional teams (Product Managers, Engineers) and how these partnerships influenced the design process and outcomes.

• Examples of how design systems were utilized or contributed to, demonstrating an understanding of scalability and consistency.

• Documentation of user research initiatives, including methodologies used and key insights derived.

• Presentation of how AI tools were integrated into the design workflow for efficiency or enhanced output.

• Metrics and quantifiable results demonstrating the impact of design solutions on user engagement, conversion rates, or other relevant KPIs.

📝 Enhancement Note: For a Senior Product Designer role, the portfolio is critical. It should not only showcase visual design skills but also a deep understanding of product strategy, user research, and the ability to measure and articulate design's impact on business objectives. The inclusion of AI tool usage and potential code contributions is a key differentiator.

💵 Compensation & Benefits

Salary Range:

Given the Senior Product Designer title, the locations (London/Amsterdam), and DeepL's status as a well-funded, high-growth AI company, an estimated salary range would be:

• London, UK: £70,000 - £100,000 per annum.

• Amsterdam, Netherlands: €75,000 - €110,000 per annum.

These estimates are based on industry benchmarks for senior product design roles in major tech hubs, considering the company's industry (AI/Tech), funding status, and the specific responsibilities outlined. Actual compensation will depend on candidate experience, skills, and negotiation.

Benefits:

• Hybrid Work Model: Combines in-office collaboration (twice a week) with remote flexibility.

• Flexible Working Hours: Empowers employees to manage their schedules effectively, with coordination around team general locations and time zones.

• 30 Days Annual Leave: Generous paid time off to ensure work-life balance and well-being.

• Mental Health Resources: Access to support for employee well-being.

• Regular In-Person Team Events: Opportunities for team bonding and networking, including local, business unit, and company-wide gatherings.

• Monthly Hack Fridays: Dedicated time for passion projects, cross-team collaboration, and innovation.

• Competitive Benefits Package: Tailored to individual locations, reflecting the global diversity of the team.

• International Team & Growth: Opportunity to work with a diverse, multinational team (90+ nationalities) in a rapidly growing company.

• Professional Development: Encouragement of continuous learning and skill development.

Working Hours: Standard full-time hours, typically 40 hours per week, with flexible scheduling options.

📝 Enhancement Note: The salary ranges are estimates for London and Amsterdam, two high-cost-of-living European cities with strong tech scenes. The benefits listed are comprehensive and align with modern tech company offerings, emphasizing work-life balance, professional growth, and employee well-being. The "competitive benefits" are noted as location-tailored, which is standard practice for international companies.

🎯 Team & Company Context

🏢 Company Culture

Industry: Artificial Intelligence (AI) / Language Technology / Software as a Service (SaaS)

Company Size: Approximately 1,000 employees, indicating a phase of significant growth and scaling. DeepL has doubled in size annually, suggesting a dynamic and fast-paced environment.

Founded: 2017, meaning it's a relatively young but established company with a proven track record and significant market traction.

Team Structure:

• The Senior Product Designer will join a cross-functional team at the core of DeepL Translate, working closely with Product Managers and Engineering Leaders.

• This team is central to product vision and delivery, implying a collaborative and integrated approach.

• Beyond the immediate team, the designer will be part of a broader design community, fostering knowledge sharing and best practice development across the company.

• The company has a diverse, international presence with employees across the UK, Germany, Netherlands, Poland, US, and Japan. Methodology:

• Data-Driven Decision Making: Emphasis on using both qualitative insights from user research and quantitative data to guide design and product strategy.

• User-Centered Design: A core philosophy, ensuring that user needs and experiences are at the forefront of product development.

• Agile/Lean Methodologies: Implied by the fast-moving environment, cross-functional teams, and iterative design process (prototypes, code changes).

• AI Integration: DeepL's core business is AI, so expect AI to be integrated into workflows, tools, and product features.

• Continuous Improvement: Dedication to evolving the craft, influencing best practices, and raising the bar for design across the company.

Company Website: https://www.deepl.com/en/translator

📝 Enhancement Note: DeepL's culture appears to be a blend of a mission-driven startup (rapid growth, innovation) and a mature tech company (structured processes, focus on well-being, established investors). The emphasis on AI, user experience, and a global impact is a strong theme.

📈 Career & Growth Analysis

Operations Career Level: This role is a "Senior Product Designer," signifying a mid-to-late career stage. It requires not only strong individual contributor skills but also the ability to influence product direction, mentor others, and contribute to the design team's strategic initiatives. The scope includes shaping core product experiences and contributing to the broader design community.

Reporting Structure: The Senior Product Designer will report to a Design Lead or Head of Design, likely within a Product Design team. They will work closely with Product Managers and Engineering leads in a cross-functional squad.

Operations Impact: The impact of this role is significant, directly influencing the usability, trustworthiness, and user satisfaction of DeepL Translate, a flagship product used by millions. The designer will contribute to DeepL's goal of becoming a global leader in AI technology by enhancing communication and fostering connections. Success will be measured by user engagement, adoption rates, and the overall quality of the user experience.

Growth Opportunities:

• Leadership Development: Potential to grow into a Lead Product Designer or Design Manager role, overseeing teams or specific product areas.

• Specialization: Deepen expertise in AI-driven product design, user research methodologies, or design systems.

• Cross-Functional Influence: Expand influence across product strategy, engineering best practices, and company-wide design standards.

• Mentorship: Opportunities to mentor junior designers and contribute to their professional growth.

• Hack Fridays: A unique avenue for exploring new ideas, technologies, and potential product innovations, fostering personal and professional development outside of core responsibilities.

• Global Exposure: Work on a product with a massive global user base, providing invaluable experience in designing for diverse cultures and markets.

📝 Enhancement Note: The "Senior" title implies expectations of leadership qualities, strategic thinking, and the ability to operate with a high degree of autonomy. Growth opportunities will likely involve increased scope, leadership responsibilities, and potential for specialization within AI product design.

🌐 Work Environment

Office Type: Hybrid work environment. Employees are expected to come into the office twice a week, fostering in-person collaboration and team cohesion, while maintaining flexibility.

Office Location(s):

• London, United Kingdom: A major global tech hub, offering a vibrant work environment and access to a large talent pool.

• Amsterdam, Netherlands: Another key European tech city known for its international community and innovation ecosystem.

Workspace Context:

• Collaborative: The hybrid model is designed to balance focused work with team interaction. The office days are intended for direct engagement, brainstorming, and building relationships.

• Tech-Enabled: As a leading AI company, expect modern office facilities and access to the necessary tools and technology for design and development.

• International Community: Working with colleagues from over 90 nationalities fosters a rich, diverse, and globally-minded atmosphere.

• Flexible: While there are designated office days, the overall environment emphasizes trust and flexibility in working hours to accommodate individual productivity and team synchronization across time zones.

Work Schedule: The standard working hours are typically 40 hours per week. DeepL promotes flexible working hours, allowing employees to manage their time effectively, provided they synchronize with their team's general locations and time zones for seamless collaboration.

📝 Enhancement Note: The hybrid model with two days in the office is a common and often preferred setup for senior roles, balancing flexibility with the benefits of in-person collaboration. The focus on global teams and flexible hours suggests a modern, adaptable work culture.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A recruiter or hiring manager will review applications and portfolios, focusing on experience, skills, and alignment with the role's requirements.

• Portfolio Presentation: Candidates will likely present their portfolio to the hiring team, discussing 2-3 key case studies that demonstrate their process, problem-solving abilities, and impact.

• Design Challenge/Exercise: This may involve a take-home assignment or an in-interview exercise to assess design thinking, problem-solving skills, and proficiency with tools like Figma. It might focus on a specific aspect of the translation experience or a hypothetical product problem.

• Cross-functional Interviews: Interviews with Product Managers, Engineering Leads, and potentially other designers to assess collaboration style, technical understanding, and strategic thinking.

• Behavioral & Culture Fit Interviews: Assessing alignment with DeepL's values, communication style, and ability to thrive in their international, hybrid environment.

Portfolio Review Tips:

• Curate Strategically: Select 2-3 of your strongest case studies that best represent your experience with web applications, user-centered design, and complex problem-solving. Prioritize projects that align with DeepL's mission (AI, translation, global communication).

• Tell a Story: For each case study, clearly articulate the problem, your role, your process (research, ideation, prototyping, testing), the solutions you designed, and the measurable impact. Use visuals effectively.

• Show Your Process: Don't just show final screens. Detail your research findings, user flows, wireframes, and how you iterated based on feedback or data. Demonstrate your thought process.

• Highlight B2B Experience: If applicable, emphasize projects that involved designing for professional users or complex business workflows.

• Demonstrate Figma Proficiency: Be ready to walk through your Figma files, showcasing your organization, use of components, and prototyping skills.

• Address AI Usage: If you've used AI tools in your workflow, be prepared to discuss how and why, highlighting efficiency gains or new possibilities.

• Quantify Impact: Whenever possible, use data and metrics to demonstrate the success of your designs.

• Be Ready for Questions: Anticipate questions about your design decisions, trade-offs made, and how you handle constructive criticism.

Challenge Preparation:

• Understand the Problem: Thoroughly analyze any design challenge or exercise presented. Ask clarifying questions.

• Focus on Process: Even if time is limited, demonstrate your structured approach to problem-solving.

• Prioritize User Needs: Ground your solutions in user research and empathy.

• Consider Scalability & AI: Think about how your solutions would scale and potentially leverage AI, given DeepL's context.

• Communicate Clearly: Be prepared to present your approach and rationale concisely and effectively.

📝 Enhancement Note: The interview process is likely rigorous, with a strong emphasis on portfolio quality, problem-solving skills, and cross-functional collaboration. Candidates should be prepared to articulate their design process in detail and demonstrate how their work aligns with DeepL's AI-first, user-centric approach.

🛠 Tools & Technology Stack

Primary Tools:

• Figma: The primary tool for design, prototyping, and design artifact management. Proficiency is essential.

• User Research Tools: Likely includes tools for user interviews (e.g., Zoom, Google Meet), usability testing platforms, and potentially survey tools (e.g., SurveyMonkey, Typeform).

• Prototyping Tools: Figma's built-in capabilities are key, but familiarity with advanced prototyping techniques is valuable.

• AI Design Assistants: Specifically mentioned is Claude Code, suggesting a need to leverage AI for tasks like generating design assets, code snippets, or even aiding in prototyping.

Analytics & Reporting:

• While not explicitly stated for designers, familiarity with how product analytics tools (e.g., Amplitude, Mixpanel, Google Analytics) are used to track user behavior and measure design impact is beneficial.

• Understanding how dashboards are used to monitor key metrics will help in designing for data-informed outcomes. CRM & Automation:

• Not directly relevant to the designer's core tools but understanding how products integrate with CRM systems or other business automation tools can provide broader context.

📝 Enhancement Note: The explicit mention of Figma and Claude Code highlights the core technology stack for this role. A designer's ability to integrate AI tools into their workflow is a key differentiator for this position.

👥 Team Culture & Values

Operations Values:

• Trust & Curiosity: DeepL emphasizes trust and curiosity, suggesting an environment where employees are encouraged to explore, question, and learn.

• Care & Empathy: Leading with empathy is a stated value, indicating a supportive and considerate work environment.

• Innovation & Growth: As an AI product and research company, innovation is at the core. The company's rapid growth also points to a focus on continuous development and expansion.

• Purpose-Driven: The mission to "unlock human potential by making work simpler, smarter, and more connected" provides a strong sense of purpose that guides decision-making.

• Data-Driven Approach: Decisions are informed by both qualitative and quantitative insights, ensuring that design and product development are grounded in evidence.

• Efficiency & Optimization: Implicit in a tech company, especially one focused on AI and language, is a drive for efficiency and optimizing processes.

Collaboration Style:

• Cross-functional Integration: Strong emphasis on close collaboration between design, product management, and engineering.

• Open Communication & Feedback: Valuing clear, honest communication and direct, actionable feedback is integral to their culture.

• Global Teamwork: Working effectively with a diverse, international team across different time zones is a key aspect.

• Empathy & Growth Mindset: Approaches challenges and interactions with understanding and a commitment to continuous improvement.

• Knowledge Sharing: Encouraged through community participation and events like Hack Fridays.

📝 Enhancement Note: DeepL's culture appears to foster a balance between ambitious goals and employee well-being, with a strong emphasis on collaboration, data, and purpose. The values suggest an environment where designers can be both creative and strategic, with support for their professional development.

⚡ Challenges & Growth Opportunities

Challenges:

• Navigating Complexity: Designing for a global AI product with millions of users involves inherent complexity, requiring careful consideration of diverse user needs, edge cases, and technical constraints.

• Balancing B2B & B2C Needs: Designing for both professional and casual users simultaneously requires a nuanced approach to feature prioritization and user experience design.

• AI Integration Evolution: The rapid advancement of AI means designers must continuously adapt to new capabilities and integrate them effectively and ethically into product experiences.

• Maintaining Design System at Scale: As the product and team grow, ensuring the design system remains robust, scalable, and adopted across the organization presents an ongoing challenge.

• Hybrid Collaboration Nuances: Effectively collaborating and maintaining strong team cohesion in a hybrid environment across different locations and time zones requires proactive communication and intentionality.

Learning & Development Opportunities:

• AI-Powered Design: Deepen expertise in leveraging AI tools and methodologies within the design process, staying at the forefront of technological advancements.

• Global Product Design: Gain extensive experience designing for a diverse, international user base, understanding cultural nuances and market specificities.

• Product Strategy Influence: Contribute significantly to product vision and strategy, moving beyond execution to strategic input.

• Design System Leadership: Take on greater ownership or leadership roles in evolving and scaling the design system.

• Cross-Functional Expertise: Enhance collaboration skills with engineering and product management, understanding broader business and technical contexts.

• Mentorship & Skill Sharing: Develop leadership and communication skills by mentoring junior designers and contributing to the design community.

📝 Enhancement Note: The challenges are framed to highlight opportunities for growth. DeepL offers a fertile ground for designers looking to push boundaries in AI, global product design, and strategic product development.

💡 Interview Preparation

Strategy Questions:

• "Describe a time you had to balance competing user needs for different customer segments (e.g., B2B vs. B2C) in a single product feature. How did you approach it, and what was the outcome?" (Focus on user research, prioritization, and trade-offs).

• "How do you ensure your design solutions are scalable and maintainable, particularly when working with or contributing to a design system?" (Focus on design system thinking, component-based design, and documentation).

• "Walk us through a complex product problem you solved. What was your process from understanding the problem to validating your solution, and what was the measurable impact?" (Focus on end-to-end design lifecycle, data-driven decisions, and ROI).

• "How do you leverage AI tools in your design process? Can you share an example of how AI helped you achieve a better or more efficient outcome?" (Focus on practical application of AI in design, tools like Claude Code). Company & Culture Questions:

• "What interests you about DeepL's mission and our approach to AI translation?" (Show genuine interest in the company's purpose and technology).

• "How do you contribute to a positive and collaborative team environment, especially in a hybrid, international setting?" (Highlight communication, empathy, and proactive engagement).

• "DeepL values trust, curiosity, and care. Can you give an example of how you've embodied these values in your previous work?" (Connect personal experiences to company values).

• "How do you stay updated on the latest trends in AI, product design, and user experience?" (Demonstrate a commitment to continuous learning). Portfolio Presentation Strategy:

• Structure is Key: Organize your presentation logically: Introduction (problem, goals), Your Role, Process (research, ideation, design, testing), Solution (showcase designs, prototypes), Impact (metrics, learnings).

• Deep Dive on Process: Be prepared to discuss why you made specific decisions at each stage. What research informed your choices? What alternatives did you consider?

• Showcase Figma Mastery: Be ready to navigate your Figma files, demonstrating organization, component usage, and prototyping features.

• Quantify Success: Present data and metrics clearly. If direct metrics aren't available, discuss proxy metrics or how you would measure success post-launch.

• Tell a Compelling Narrative: Frame your projects as stories. What was the challenge? How did you overcome it? What was the resolution and its impact?

• Be Candid About Challenges: Discuss any difficulties encountered and how you navigated them. This shows resilience and problem-solving skills.

• AI Tool Integration: If applicable, show how AI tools were used and discuss the benefits.

📝 Enhancement Note: Interview preparation should focus on demonstrating a deep understanding of user-centered design, strategic thinking, collaboration skills, and a proactive approach to leveraging new technologies like AI. The portfolio presentation is a critical component.

📌 Application Steps

To apply for this Senior Product Designer position:

• Submit Your Application: Use the provided link to submit your resume and any requested materials.

• Tailor Your Resume: Highlight your 4+ years of product design experience, specific skills in Figma, user research, design systems, and B2B design. Quantify achievements with metrics where possible.

• Curate Your Portfolio: Select 2-3 strong case studies that showcase your end-to-end design process for web applications. Ensure they highlight your problem-solving approach, user-centricity, and impact. Be ready to discuss your use of AI tools and Figma proficiency.

• Prepare Your Presentation: Practice presenting your portfolio case studies, focusing on storytelling, process transparency, and quantifiable results. Be ready to articulate your design rationale clearly.

• Research DeepL: Familiarize yourself with DeepL's products, mission, values, and recent news. Understand their position in the AI and translation market.

• Anticipate Interview Questions: Prepare answers for common behavioral, situational, and technical questions, especially those related to design strategy, collaboration, and AI integration.

⚠️ 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.