Product Designer

📍 Job Overview

Job Title: Product Designer

Company: Therapieland

Location: Amsterdam, North Holland, Netherlands

Job Type: FULL_TIME

Category: Product Design / UX/UI

Date Posted: 2026-08-19

Experience Level: 5-10 Years

Remote Status: Hybrid

🚀 Role Summary

• End-to-End Product Design Ownership: Drive product design from initial problem identification through to validated results, integrating user research, interaction design, UX writing, and visual design within a single role.

• AI-Native Design Orchestration: Leverage AI tools as a core part of the design workflow for interface generation, variant exploration, and prototyping, with a critical human oversight for quality, accessibility, and clinical safety.

• Data-Driven Decision Making: Champion the use of product analytics and A/B testing to validate design hypotheses and measure the actual impact of design changes on key metrics, ensuring outcomes drive business and user value.

• Cross-Functional Collaboration & Flow: Operate within a "Flow" methodology, working closely with product owners, engineers, and stakeholders in a collaborative, iterative manner to eliminate handoffs and accelerate delivery of validated solutions.

📝 Enhancement Note: The role emphasizes a strong product-centric approach where the designer is accountable for the result and validation of their work, not just the delivery of design assets. The integration of AI is presented as a fundamental shift in the design process, requiring a candidate who is already proficient and comfortable in this AI-native environment.

📈 Primary Responsibilities

• Result Ownership & Validation: Take full accountability for design initiatives from conception to post-launch validation, ensuring the intended user, clinical, and business outcomes are demonstrably achieved.

• AI Tool Orchestration and Critical Review: Direct and utilize AI tools for design generation, component creation, and prototyping, critically assessing and refining AI outputs against brand guidelines, accessibility standards (WCAG AA), and clinical safety requirements.

• Data-Informed Design Strategy: Translate design decisions into testable hypotheses, set up and analyze A/B tests, and utilize product analytics to ensure design choices are backed by empirical evidence and lead to measurable improvements.

• Facilitating Discovery and Co-Creation: Lead and participate in discovery sessions, design sprints, and critiques with cross-functional teams (product owners, engineers, clinicians) and external partners to foster alignment and drive consensus on design direction.

• Design System Stewardship: Maintain and evolve a living design system and a contextual library for AI tools to ensure scalability, brand consistency, and efficient reuse of design patterns.

• Developing Broad Design Competencies: Cultivate and apply skills across user research, UX writing, interaction design, visual design, front-end principles, and domain-specific knowledge to independently drive design outcomes.

📝 Enhancement Note: The responsibilities highlight a move away from traditional specialized design roles towards a "maker" archetype who possesses a broad skill set and takes ownership of the entire design lifecycle. The emphasis on "shared ownership yields half results" underscores the importance of individual accountability.

🎓 Skills & Qualifications

Education: Bachelor's or Master's degree in Design, Human-Computer Interaction, or a related field, or equivalent practical experience.

Experience: 5-10 years of professional experience in product design, with a demonstrated track record of bringing digital products from concept to successful launch and validation.

Required Skills:

• Portfolio of Launched Work: A comprehensive portfolio showcasing launched products and demonstrating tangible, validated user impact, not just design files.

• AI-Native Design Practice: Proven, hands-on experience designing with AI tools for discovery, generation, variation, and prototyping; critical assessment of AI output is essential.

• Data Analysis & Experimentation: Proficiency in interpreting product analytics, setting up and analyzing A/B tests, and distinguishing signal from noise in data to inform design decisions.

• Facilitation & Stakeholder Management: Strong ability to lead workshops, design sprints, and critiques, effectively synthesizing diverse input and communicating design choices and rationale to technical and non-technical audiences.

• Product & Systems Thinking: Ability to frame problems, understand complete user journeys, anticipate second-order effects, and think in terms of interconnected systems.

• Domain Affinity: Genuine interest and willingness to learn about mental healthcare, including design considerations and clinical safety.

• Language Proficiency: Excellent command of both Dutch and English languages.

Preferred Skills:

• Experience in the healthcare or other regulated industry.

• Experience in establishing or scaling a design system.

• Front-end development knowledge (HTML/CSS, component frameworks).

• Proven experience managing design projects for multiple teams and stakeholders.

📝 Enhancement Note: The requirement for an "AI-native design practice" is a strong signal that candidates are expected to already be proficient with AI design tools, rather than needing training. The portfolio requirement specifically asks for evidence of impact and validation, not just design artifacts.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Launched Product Evidence: Showcase case studies of products you have taken from initial problem statement to market launch and subsequent validation of success through data.

• AI-Assisted Design Workflow: Clearly articulate and demonstrate how AI tools were integrated into your design process for discovery, ideation, generation, and prototyping.

• Data Validation & Impact Metrics: Present specific metrics and A/B test results that prove the positive impact of your design decisions on user behavior and business outcomes.

• Systemic Thinking Examples: Illustrate instances where your design approach considered broader user journeys, second-order effects, and interconnected systems.

Process Documentation:

• User Journey Mapping: Ability to map out complex user journeys and identify key touchpoints for design intervention and optimization.

• Hypothesis Generation & Testing: Document the process of formulating clear, testable hypotheses for design changes and the methods used for their validation (e.g., A/B tests, user interviews).

• Design System Integration: Demonstrate understanding of how design systems function and how they were leveraged or contributed to in past projects to ensure consistency and scalability.

📝 Enhancement Note: The emphasis here is on a portfolio that tells a story of impact and validation, specifically highlighting the candidate's ability to integrate AI and data into their design process. It's about demonstrating a results-oriented, evidence-based approach to product design.

💵 Compensation & Benefits

Salary Range: €6500 per month (maximum, based on 40 hours/week).

• Note: This is stated as a maximum, implying that the actual salary will be negotiated based on experience and qualifications. For a 0.8 FTE role, the maximum would be €5200 per month.

• Research Methodology: The stated maximum salary of €6500/month (€78,000/year) for a Product Designer with 5-10 years of experience in Amsterdam is within the upper-mid to senior range for the Dutch market, aligning with the specialized skills (AI-native, data-driven) and the company's positioning.

Benefits:

• Meaningful Work: Contribute directly to the mental well-being of individuals in the Netherlands.

• Innovation Leadership: Be at the forefront of defining AI-native product design practices within the organization, supported by Visma's resources.

• Team Environment: Work with a driven team committed to shared values.

• Personal Growth: Ample opportunities for personal development and experimentation with new tools and methodologies.

• Competitive Compensation: A competitive salary and excellent secondary employment conditions.

Working Hours: 0.8 to 1.0 FTE (32-40 hours per week).

📝 Enhancement Note: The salary is explicitly stated as a maximum, which is common in the Netherlands. The calculation for 0.8 FTE is provided for clarity. The benefits focus on impact, innovation, and professional development, aligning with the company's mission and the role's nature.

🎯 Team & Company Context

🏢 Company Culture

Industry: Healthcare Technology (Mental Health), Software Development. Therapieland operates within the rapidly evolving digital health sector, focusing on improving accessibility and efficacy in mental healthcare through technology. The company is part of Visma, a prominent European software conglomerate, which provides a strong backing and access to resources.

Company Size: Part of Visma, which has over 14,000 employees globally. Therapieland itself operates with a more agile, "Flow" methodology, suggesting a culture that values speed, direct ownership, and cross-functional collaboration within its teams.

Founded: Not explicitly stated, but context implies a company that has evolved to embrace modern technologies like AI and operates within the Visma ecosystem.

Team Structure:

• Product Trio: Works closely with a Product Owner and Engineers as part of a "product trio" or "delivery team" where roles are broad and collaborative.

• Reporting: Reports to the Chief Product Officer (CPO).

• Cross-functional Collaboration: Intensively collaborates with product owners, delivery teams, and external clients/users. The culture actively discourages specialized silos and handoffs.

Methodology:

• "Flow" Methodology: Emphasizes end-to-end ownership and minimizing handoffs between specialized roles.

• Data-Driven Validation: Decisions are rigorously tested and validated with real users and data (product analytics, A/B tests) rather than seniority or opinion.

• AI Integration: Proactive adoption and integration of AI tools into the core design workflow.

• Continuous Improvement: Focus on iterative development, learning, and adapting based on evidence.

Company Website: https://therapieland.nl/

📝 Enhancement Note: The "Flow" methodology and the emphasis on "no handoffs" are key cultural indicators. This suggests a flat, agile structure where individuals are empowered to take broad responsibility. Being part of Visma offers stability and resources while the internal culture aims for agility and innovation.

📈 Career & Growth Analysis

Operations Career Level: Senior Product Designer. This role is positioned as a senior individual contributor with significant autonomy and responsibility for end-to-end product outcomes. It requires a blend of strategic thinking, execution excellence, and a forward-looking approach to design methodologies.

Reporting Structure: Reports directly to the Chief Product Officer (CPO). This indicates a high level of visibility and direct influence on product strategy and direction.

Operations Impact: The Product Designer's impact is framed as directly influencing the mental resilience and well-being of users, as well as driving measurable business results through data-validated design. Their work is not just about aesthetics or usability, but about creating tangible positive change in a critical domain.

Growth Opportunities:

• AI Design Leadership: Opportunity to be a pioneer in defining and implementing AI-native design practices within Therapieland and potentially across Visma.

• Domain Expertise: Deepen knowledge in the mental healthcare sector, understanding its unique challenges and opportunities for technological innovation.

• Strategic Influence: Direct collaboration with the CPO and product leadership provides a pathway to influence product strategy and roadmap decisions.

• Skill Expansion: Continuous learning and experimentation with new tools, methodologies, and design frontiers.

• Broader Impact: Potential to contribute to a larger portfolio of products within the Visma group.

📝 Enhancement Note: The role offers significant growth potential due to its senior nature, direct reporting line to the CPO, and the pioneering aspect of AI integration. The focus is on impact, strategy, and leading innovation within a critical domain.

🌐 Work Environment

Office Type: The job is listed as Hybrid, suggesting a mix of remote work and in-office collaboration. The specific office is located in Amsterdam.

Office Location(s): Nieuwendammerdijk 528, 1023 BX Amsterdam, Netherlands.

Workspace Context:

• Collaborative Hub: The office environment is likely designed to support the "Flow" methodology, fostering collaboration, co-creation, and rapid iteration among product teams.

• Technology Forward: Access to and utilization of modern design tools, AI platforms, and analytics software will be standard.

• Team Interaction: Opportunities for regular face-to-face interaction with product owners, engineers, and other designers for critiques, workshops, and knowledge sharing.

Work Schedule: 0.8 to 1.0 FTE (32-40 hours per week). The hybrid nature suggests some flexibility in scheduling, particularly for remote days, though in-office days will be crucial for collaborative sessions.

📝 Enhancement Note: The hybrid model combined with the "Flow" methodology implies that in-office days will be highly intentional for collaborative activities, while remote days may offer focused work time.

📄 Application & Portfolio Review Process

Interview Process:

• Application Submission: Submit through the provided link.

• Portfolio Review: The primary gatekeeper will be a strong portfolio showcasing launched products and AI-native, data-validated design work.

• Initial Screening: Likely a call with an HR representative or hiring manager to assess basic qualifications and cultural fit.

• Design Challenge/Case Study: Expect a practical exercise or a deep dive into portfolio case studies to assess problem-solving, design thinking, AI integration, data validation, and communication skills.

• Team Interviews: Meetings with the CPO, product owners, and engineers to evaluate collaboration style, technical proficiency, and domain understanding.

• Final Interview: Potential discussion with senior leadership to confirm strategic alignment and overall fit.

Portfolio Review Tips:

• Focus on Impact: Do not just show screens. Clearly articulate the problem, your role, the solution, the process (especially AI and data usage), and the quantifiable results.

• AI Integration Clarity: Explicitly describe how you used AI tools and why. Highlight your critical judgment in refining AI outputs.

• Data Validation Emphasis: Showcase how you used data (analytics, A/B tests) to inform and validate your design decisions.

• "Flow" Methodology Alignment: Demonstrate your ability to work independently and collaboratively, minimizing handoffs and taking ownership.

• Problem Framing: Show your process for understanding and framing the problem before jumping to solutions.

Challenge Preparation:

• AI Design Scenarios: Be prepared to discuss hypothetical scenarios involving AI in design, e.g., how to ensure ethical AI use, how to balance AI generation with brand consistency.

• Data Interpretation: Practice articulating how you would use specific metrics to evaluate a design change or diagnose a user problem.

• User Journey Mapping: Be ready to sketch out or discuss user journeys for a hypothetical product or feature.

• Communication of Design Rationale: Practice clearly and concisely explaining your design choices and their underlying data or user insights.

📝 Enhancement Note: The interview process heavily emphasizes practical demonstration of skills through a portfolio and potential challenges, with a strong focus on AI integration and data validation. The "Flow" methodology means they'll assess your ability to be a self-sufficient, outcome-oriented designer.

🛠 Tools & Technology Stack

Primary Tools:

• Design & Prototyping: Figma, Sketch, Adobe Creative Suite (or similar).

• AI Design Tools: Candidates are expected to be proficient with existing AI tools for generation, ideation, and prototyping. Specific tools are not listed but the expectation is hands-on experience.

• Design System Management: Tools for managing design systems (e.g., Zeroheight, Storybook, or custom solutions).

Analytics & Reporting:

• Product Analytics Platforms: Google Analytics, Mixpanel, Amplitude, or similar for tracking user behavior and feature adoption.

• A/B Testing Platforms: Optimizely, VWO, or integrated tools within analytics platforms for experiment management and analysis.

CRM & Automation:

• While not explicitly a CRM role, understanding how design integrates with user feedback and product management tools (e.g., Jira, Trello, Asana) is implied.

📝 Enhancement Note: The specific AI tools are not named, but the expectation is that candidates are already using them. Proficiency in standard design tools and analytics platforms is assumed.

👥 Team Culture & Values

Operations Values:

• Impact-Driven: A core value is to create meaningful change that directly improves mental well-being and operational efficiency in healthcare.

• Data-Centric: Decisions are grounded in evidence; design choices must be validated by data and user feedback.

• AI-Native & Innovative: Embracing new technologies, especially AI, as integral to the design process, not just as add-ons.

• Ownership & Accountability: Individuals take full responsibility for their work from start to finish, focusing on results rather than just tasks.

• Collaboration & Flow: Working seamlessly across disciplines, minimizing silos and handoffs to accelerate progress.

• Quality & Safety: Maintaining high standards for design quality, accessibility (WCAG AA), and clinical safety in all outputs.

Collaboration Style:

• Integrated Teams: Operates within "product trios" or delivery teams, fostering close, continuous collaboration between design, product, and engineering.

• Direct Communication: Encourages direct dialogue and feedback loops, bypassing traditional hierarchical or departmental barriers.

• Co-creation: Facilitates collaborative sessions (discovery, sprints, critiques) where diverse perspectives are synthesized into a unified direction.

• Evidence-Based Discourse: Discussions and decisions are resolved through data and user evidence, promoting objective problem-solving.

📝 Enhancement Note: The culture is strongly oriented towards agility, ownership, and empirical validation, with a forward-thinking approach to technology adoption. The emphasis on "no handoffs" and "shared ownership yields half results" is a critical aspect of their collaborative style.

⚡ Challenges & Growth Opportunities

Challenges:

• Pioneering AI Integration: Defining and scaling AI-native design practices within a growing organization, navigating the complexities and potential pitfalls of AI-generated content.

• Balancing Human & AI Contribution: Determining where human presence makes the most critical difference versus tasks best left to AI, especially in sensitive areas like mental health.

• Data Validation Rigor: Consistently ensuring that design changes are rigorously tested and validated, moving beyond mere delivery to demonstrable impact.

• Cross-functional Alignment: Effectively synthesizing diverse stakeholder needs and technical constraints within the "Flow" model to deliver cohesive solutions.

• Domain Complexity: Navigating the nuances of mental healthcare, clinical safety, and user sensitivity while applying design principles.

Learning & Development Opportunities:

• AI Design Mastery: Becoming an expert in leveraging AI for creative and efficient product design.

• Healthcare Tech Innovation: Developing deep expertise in a critical and rapidly advancing sector.

• Product Strategy Contribution: Gaining exposure to and influencing product strategy at a senior level, reporting to the CPO.

• Methodology Leadership: Playing a key role in shaping and refining the company's AI-native, data-driven design processes.

• Cross-Disciplinary Skill Growth: Broadening expertise in areas like UX writing, basic front-end, and advanced analytics through hands-on project work.

📝 Enhancement Note: The challenges are framed as opportunities for innovation and skill development, particularly around AI integration and data-driven strategies in a complex domain.

💡 Interview Preparation

Strategy Questions:

• AI Integration Strategy: "How would you approach integrating a new AI-powered design tool into our existing workflow? What are the key considerations for quality and safety?" (Focus on your process for evaluating AI output, ethical considerations, and integration with existing systems.)

• Data-Driven Prioritization: "Given a product backlog with multiple feature requests, how would you use data and user research to prioritize which design initiatives to tackle first?" (Highlight your ability to define key metrics, formulate hypotheses, and plan validation experiments.)

• Problem Framing: "Describe a time you received a vague design request. How did you frame the problem, conduct discovery, and arrive at a well-defined solution?" (Showcase your process for dissecting ambiguity and ensuring you're solving the right problem.)

Company & Culture Questions:

• Mission Alignment: "Why are you interested in working in the mental healthcare domain, and what excites you about Therapieland's mission?" (Connect your personal values and career aspirations to the company's purpose.)

• "Flow" Methodology Fit: "How do you see yourself thriving in an environment that emphasizes end-to-end ownership and minimizes handoffs? Can you give an example of when you've worked this way?" (Demonstrate your comfort with autonomy, broad responsibility, and collaborative, integrated teams.)

• AI vs. Human Role: "In the context of mental health, where do you see the greatest potential for AI in design, and where is human oversight absolutely critical?" (Showcase your nuanced understanding of AI's role and ethical considerations.)

Portfolio Presentation Strategy:

• Narrative Arc: Structure each case study with a clear beginning (problem), middle (your process, including AI and data), and end (solution and validated results).

• Quantify Impact: Use numbers, charts, and specific metrics to demonstrate the success of your designs. For example, "Increased conversion by X%," "Reduced task completion time by Y seconds," "Achieved Z% user satisfaction."

• Show, Don't Just Tell: For AI integration, provide examples of AI-generated outputs and how you refined them. For data, show charts or snippets of analytics dashboards.

• Role Clarity: Clearly articulate your specific contributions, especially in team projects, and how you drove outcomes.

• Conciseness: Be prepared to walk through your most impactful projects efficiently, focusing on the key takeaways for this specific role.

📝 Enhancement Note: Interview questions will probe your practical application of AI, data, and systems thinking within a collaborative, ownership-driven framework. Your portfolio presentation is critical for demonstrating this.

📌 Application Steps

To apply for this Product Designer position:

• Submit your application through the Therapieland teamtailor portal at https://therapieland.teamtailor.com/jobs/8240313-product-designer.

• Portfolio Customization: Curate your portfolio to prominently feature 2-3 case studies that best demonstrate your AI-native design process, data validation success, and end-to-end ownership. Tailor the descriptions to highlight specific contributions and quantifiable results relevant to Therapieland's mission.

• Resume Optimization: Ensure your resume clearly articulates your experience with AI design tools, data analytics, A/B testing, and working in agile, collaborative environments. Use keywords from the job description such as "AI-native," "data-driven," "end-to-end ownership," and "product analytics."

• Interview Preparation: Practice articulating your design process, especially how you integrate AI and data. Prepare to discuss your portfolio case studies in detail, focusing on the "why" behind your decisions and the "what" of your impact. Rehearse answers to strategy and culture questions.

• Company Research: Thoroughly research Therapieland's mission, products, and the broader mental health tech landscape. Understand Visma's role and how Therapieland fits within it. Familiarize yourself with their "Flow" methodology and values.

⚠️ 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.