Senior Product Designer

📍 Job Overview

Job Title: Senior Product Designer

Company: Manychat

Location: Amsterdam, Netherlands

Job Type: Full-time

Category: Product Design & User Experience (UX)

Date Posted: 2026-04-15

Experience Level: 5-10 years

Remote Status: Hybrid

🚀 Role Summary

• Design and deliver intuitive, data-rich user experiences that transform complex information into actionable insights, with a strong emphasis on AI-enhanced analytics.

• Drive the full product development lifecycle, from initial discovery and user research through design, testing, and successful launch of new features and improvements.

• Collaborate closely with product management, engineering, and data science teams to define product strategy, align on priorities, and ensure high-quality execution of design solutions.

• Act as a subject matter expert within the design team for AI and data-informed design principles, contributing to best practices, design systems, and design reviews.

• Conduct user research, leveraging both qualitative and quantitative methods to deeply understand user needs and validate design decisions for analytical and AI-driven features.

📝 Enhancement Note: This role is positioned within the "In-Product Analytics" team at Manychat, indicating a strategic focus on empowering users with data insights directly within the Manychat platform. The emphasis on AI suggests a forward-thinking approach to analytics, moving beyond traditional dashboards to more interactive and intelligent data exploration.

📈 Primary Responsibilities

• Lead the end-to-end design process for features within the analytics and AI product areas, from ideation and user journey mapping to high-fidelity prototyping and final implementation.

• Translate complex data sets and AI outputs into clear, easily digestible, and actionable user interfaces and workflows.

• Develop and refine user research strategies, conducting studies to gather insights on user needs, pain points, and behaviors related to data analysis and AI interaction.

• Create comprehensive design documentation, including user flows, wireframes, interactive prototypes, and detailed specifications, to ensure clear communication and alignment across engineering, product, and data teams.

• Champion user-centered design principles and advocate for user needs throughout the product development process, balancing user requirements with business objectives and technical feasibility.

• Contribute to the evolution of Manychat's design system, particularly focusing on patterns for data visualization, AI interaction, and conversational interfaces to ensure consistency and scalability.

• Proactively identify opportunities for design innovation, especially in leveraging AI to enhance user understanding of data, automate insights, and enable more natural, conversational data exploration.

📝 Enhancement Note: The responsibilities highlight a significant need for a designer who can bridge the gap between complex data/AI and user comprehension, requiring not just visual design skills but also strong analytical thinking and a deep understanding of human-AI interaction principles.

🎓 Skills & Qualifications

Education:

Experience:

• A minimum of 5 years of progressive experience as a Product Designer within technology-driven organizations, with a proven history of delivering impactful, end-to-end product experiences.

Required Skills:

• Product Design Expertise: Proven ability to manage the full product development lifecycle, from discovery and research to design, prototyping, and launch.

• Data-Driven Design: Strong capability to translate complex data into intuitive, actionable user experiences and effective data visualizations.

• AI & Conversational Design: Deep understanding of AI interface design principles, conversational design patterns, prompt engineering, and human-AI interaction frameworks.

• User Research: Proficiency in planning and conducting user research (qualitative and quantitative) to inform design decisions and validate solutions.

• Prototyping & Design Tools: Advanced proficiency in Figma and hands-on experience with AI tools (e.g., Claude, GPT) for prototyping and workflow enhancement.

• Communication & Collaboration: Outstanding stakeholder management and cross-functional collaboration skills, with the ability to influence product direction and advocate for user-centered solutions.

• Product Thinking: Demonstrated ability to balance user needs with business goals and understand the impact of design on key metrics.

Preferred Skills:

• Front-end Development Fundamentals: Familiarity with front-end development principles and limitations to ensure feasible design solutions.

• Mobile Design: Relevant experience with mobile design, particularly for conversational and automated experiences.

• Prompt Engineering: Specific experience in crafting effective prompts for AI models to achieve desired outputs and user interactions.

📝 Enhancement Note: The requirement for "code-based workflows" and "functional or semi-functional prototypes to simulate AI-driven experiences" points to a need for a designer who is not afraid to experiment with emerging technologies and can demonstrate complex interactions beyond standard interactive prototypes.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• A compelling portfolio that clearly showcases excellence in product design, with a specific focus on complex systems, intricate user flows, and data-informed experiences.

• Demonstrations of how user needs were balanced with business objectives and technical constraints in past projects.

• Case studies that highlight your ability to design for ambiguity, particularly in areas involving AI, data visualization, or conversational interfaces.

• Examples of end-to-end product development cycles, illustrating your contribution from initial problem definition to final product launch.

Process Documentation:

• Showcase your ability to create clear, structured design artifacts such as user flows, wireframes, prototypes, and detailed documentation that effectively communicate design decisions and support cross-functional alignment.

• Examples of how you’ve leveraged user research (qualitative and quantitative) to inform design decisions and validate solutions.

• Demonstrate experience in planning and conducting user research, or collaborating with dedicated research teams.

• Illustrate your process for contributing to and evolving design systems and patterns, especially for data-rich and AI-enhanced experiences.

📝 Enhancement Note: Given the role's focus on AI and data, portfolios should ideally include projects that demonstrate proficiency in visualizing complex data, designing for AI interactions, and achieving measurable improvements in user understanding or efficiency.

💵 Compensation & Benefits

Salary Range:

Benefits:

• Health & Well-being: Comprehensive health insurance for employees and their families, prioritizing employee and dependent well-being.

• Professional Growth: A dedicated professional development budget for conferences, online courses, books, and other resources to support continuous learning and skill advancement.

• Flexibility & Balance: Hybrid work model with generous leave options to promote work-life balance, coupled with flexible benefits that can be tailored to individual needs.

• On-site Perks: For those working from the Amsterdam office, enjoy in-office perks including complimentary meals and snacks.

• Team & Culture: Company-funded sport activities, annual offsites, and team-building events to foster a strong sense of community and collaboration.

• Relocation Support: Assistance provided for employees and their families relocating to Amsterdam to ensure a smooth transition.

Working Hours:

• Standard full-time working hours are expected, likely around 40 hours per week. The hybrid work arrangement offers flexibility in how and where work is performed, while maintaining core working hours for collaboration.

📝 Enhancement Note: The salary estimate is based on aggregated data from reputable salary research platforms for Product Designers in Amsterdam, adjusted for the senior level and the specialized AI/data design requirements. Benefits are detailed based on the provided list, contextualized for operations professionals.

🎯 Team & Company Context

🏢 Company Culture

Industry: Software (SaaS) - Customer Engagement & Marketing Automation. Manychat operates in the rapidly evolving space of conversational marketing and sales, enabling businesses to automate communication across various platforms.

Company Size: Manychat is a growing tech company, likely falling into the "Medium to Large" employee count category (e.g., 200-1000+ employees). This size typically offers a dynamic environment with opportunities for impact while maintaining some established processes.

Founded: Manychat was founded in 2015. This relatively young age suggests a culture that is agile, innovative, and still defining its long-term structures, often appealing to professionals who want to influence growth.

Team Structure:

• The Senior Product Designer will report to the Product Design Manager, indicating a clear management hierarchy within the design team.

• They will work closely with dedicated Product Managers, Engineers, and Data Scientists within the "In-Product Analytics" team, emphasizing a cross-functional, agile squad structure.

Methodology:

• Data-Driven Product Development: The role is deeply embedded in designing for data and leveraging AI, suggesting a strong reliance on analytics, user feedback, and A/B testing to inform product decisions.

• Agile & Iterative Design: The emphasis on contributing across the full development cycle implies an agile methodology, with iterative design, testing, and continuous improvement.

• Human-AI Interaction Focus: A core part of the team's methodology will involve exploring and implementing effective ways for users to interact with AI within the product, focusing on clarity, utility, and trust.

Company Website: manychat.com

📝 Enhancement Note: The company's focus on marketing automation and conversational commerce, combined with the specific role in analytics and AI, positions Manychat at the intersection of user experience, data science, and artificial intelligence, offering a unique environment for a product designer.

📈 Career & Growth Analysis

Operations Career Level: Senior Product Designer. This level signifies a high degree of autonomy, strategic input, and responsibility for significant product areas. The role is expected to not only execute designs but also contribute to design strategy, mentor junior designers, and influence product direction.

Reporting Structure: The designer reports to a Product Design Manager and works within a cross-functional product team, collaborating daily with Product Managers, Engineers, and Data Scientists. This structure allows for direct impact on product development and exposure to diverse technical and strategic perspectives.

Operations Impact: This role has a direct impact on Manychat's ability to provide valuable insights to its users. By designing effective analytics and AI-driven features, the designer influences user retention, engagement, and the overall perceived value of the Manychat platform, which in turn drives business growth and revenue.

Growth Opportunities:

• Leadership & Mentorship: Potential to grow into a Lead Product Designer role, taking ownership of larger product initiatives, and mentoring junior designers.

• Specialization: Deepen expertise in AI interface design, data visualization, and conversational UX, becoming a go-to expert within the company and the broader industry.

• Strategic Influence: Contribute to the long-term product vision and strategy for analytics and AI features, influencing roadmap decisions and design direction.

• Cross-functional Development: Gain deeper understanding of product management, engineering constraints, and data science methodologies through close collaboration.

📝 Enhancement Note: As a Senior Product Designer, growth is expected to be less about climbing a hierarchical ladder and more about increasing scope of influence, technical expertise, and strategic contribution. The focus on AI and data analytics provides a strong avenue for developing highly sought-after skills.

🌐 Work Environment

Office Type: The role is described as Hybrid, meaning there will be a blend of remote work and in-office presence at the Amsterdam location. This suggests a modern office environment designed for collaboration and focused work.

Office Location(s): Amsterdam, Netherlands. This vibrant European tech hub offers a strong talent pool and a high quality of life. Specific details about office amenities or accessibility would be part of the onboarding process.

Workspace Context:

• Collaborative Environment: The hybrid model and cross-functional team structure encourage collaboration, with opportunities for in-person brainstorming, design critiques, and team-building events.

• Tools & Technology: Access to industry-standard design tools like Figma, as well as AI tools for prototyping and workflow enhancement, will be integral to the workspace. The company likely invests in technology that supports efficient and innovative design processes.

• Team Interaction: Expect regular interactions with peers in design, product management, engineering, and data science, fostering a dynamic and intellectually stimulating work environment.

Work Schedule:

• The standard working hours are likely around 40 hours per week. The hybrid arrangement offers flexibility, allowing employees to balance remote and in-office days to optimize productivity and personal commitments. This flexibility is crucial for deep work required in design and analytics.

📝 Enhancement Note: The hybrid model in a major European city like Amsterdam suggests a company that values work-life balance and offers a modern, flexible work environment, appealing to experienced professionals seeking both impact and quality of life.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A recruiter or hiring manager will likely review your application and resume, focusing on relevant experience and portfolio.

• Portfolio Review & Design Challenge: You will be asked to present your portfolio, highlighting projects relevant to data-driven design, AI, and complex systems. A design challenge, potentially focused on a realistic problem scenario related to analytics or AI interaction, may be given.

• Cross-Functional Interviews: Interviews with Product Managers, Engineers, and Data Scientists to assess collaboration skills, technical understanding, and problem-solving approaches.

• Hiring Manager Interview: A final interview with the Product Design Manager to discuss your experience, design philosophy, and cultural fit.

Portfolio Review Tips:

• Curate for Relevance: Select 3-4 projects that best showcase your experience with data visualization, AI interactions, complex user flows, and end-to-end product development.

• Tell a Story: For each project, clearly articulate the problem, your role, the design process, key decisions, challenges faced, and the measurable outcomes or impact.

• Highlight AI & Data: Specifically emphasize any projects where you've designed for AI-powered features, conversational interfaces, or complex data sets. Detail your approach to making these experiences intuitive and actionable.

• Showcase Tools & Process: Include examples of your work in Figma, and if possible, demonstrate how you've used AI tools to enhance your design workflow or prototype AI-driven experiences.

• Quantify Impact: Whenever possible, use metrics to demonstrate the success of your designs (e.g., increased user engagement, improved conversion rates, reduced task completion time).

Challenge Preparation:

• Understand the Context: If given a design challenge, thoroughly understand the problem space, target users, and business goals.

• Deconstruct the Problem: Break down the challenge into smaller, manageable components.

• Articulate Your Process: Clearly explain your thought process, research approach, design decisions, and rationale. Focus on how you would apply AI and data insights to solve the problem.

• Prototype & Visualize: Be prepared to create low-fidelity or high-fidelity prototypes and visualizations to communicate your solution effectively.

• Consider Edge Cases: Think about potential challenges, limitations, and edge cases, especially related to AI behavior and data interpretation.

📝 Enhancement Note: The emphasis on AI and data means interviewers will be keen to see how candidates approach these complex domains, not just in terms of aesthetics but also in terms of functionality, user understanding, and ethical considerations.

🛠 Tools & Technology Stack

Primary Tools:

• Figma: The core design tool for wireframing, prototyping, and high-fidelity UI design. Proficiency is essential for UI design, component creation, and collaborative workflows.

• AI Tools (e.g., Claude, GPT): Hands-on experience is required for prototyping AI-driven experiences, exploring concepts, and potentially accelerating design workflows (e.g., content generation, insight synthesis).

• Prototyping Software: Beyond Figma, familiarity with tools that allow for more complex or functional prototypes, especially for simulating AI responses and conversational flows.

Analytics & Reporting:

• Data Visualization Tools: While not directly using them, understanding how data is presented and consumed through tools like Tableau, Looker, or internal analytics dashboards is beneficial.

• User Analytics Platforms: Experience with platforms like Amplitude, Mixpanel, or Google Analytics to understand user behavior and inform design decisions.

CRM & Automation:

• Understanding of SaaS Platforms: Familiarity with how CRM and marketing automation platforms (like Manychat itself) function is crucial for designing effective in-product experiences.

• Integration Concepts: Basic understanding of how different software systems integrate and share data, as analytics often pull from various sources.

📝 Enhancement Note: The explicit mention of "code-based workflows" and using AI tools "outside of traditional design tools" suggests a need for a designer who is tech-savvy and willing to experiment with new tools and methods to create more realistic simulations of AI interactions.

👥 Team Culture & Values

Operations Values:

• User-Centricity: A deep commitment to understanding and advocating for the user, ensuring that all designs solve real problems and provide genuine value.

• Data-Informed Decisions: A culture that values leveraging data, analytics, and user research to guide product strategy and design choices, rather than relying solely on intuition.

• Innovation & Experimentation: Encouragement to explore new technologies like AI, experiment with novel design patterns, and push the boundaries of what's possible in product experiences.

• Collaboration & Transparency: A strong emphasis on working effectively with cross-functional teams, sharing knowledge, providing constructive feedback, and maintaining open communication.

• Ownership & Accountability: Taking full responsibility for design outcomes, driving initiatives to completion, and proactively identifying and addressing challenges.

Collaboration Style:

• Cross-functional Integration: Designers are expected to be active participants within product squads, working hand-in-hand with Product Managers, Engineers, and Data Scientists throughout the development lifecycle.

• Constructive Feedback Culture: Regular design critiques and feedback sessions are likely part of the workflow, fostering an environment where ideas are openly discussed and refined.

• Knowledge Sharing: Encouragement to share learnings, best practices, and insights, particularly regarding AI and data design, through internal presentations, documentation, or workshops.

📝 Enhancement Note: The company’s values likely reflect a fast-paced, innovative tech environment where collaboration, data, and user focus are paramount. The integration of AI into the core product experience suggests a culture that embraces technological advancement.

⚡ Challenges & Growth Opportunities

Challenges:

• Designing for AI Ambiguity: Translating the often-unpredictable nature of AI into predictable, understandable, and trustworthy user experiences. This involves managing user expectations and designing for errors or unexpected outputs.

• Data Complexity: Designing intuitive interfaces for complex datasets that cater to users with varying levels of analytical expertise.

• Balancing Innovation with Usability: Incorporating cutting-edge AI features while ensuring the product remains accessible and easy to use for the existing user base.

• Cross-Functional Alignment: Ensuring that product, engineering, and data science teams are aligned on the vision and technical feasibility of complex AI and data-driven features.

Learning & Development Opportunities:

• AI & UX Specialization: Becoming a leader in designing for AI-powered products, a rapidly growing and highly in-demand field.

• Advanced Analytics Design: Deepening expertise in data visualization, dashboard design, and making complex analytics accessible to a broad audience.

• Product Strategy Involvement: Gaining exposure to higher-level product strategy discussions and influencing the roadmap for key product areas.

• Mentorship and Leadership: Opportunities to mentor junior designers and potentially lead design initiatives as the team grows.

📝 Enhancement Note: The challenges presented are inherent to working at the forefront of AI and data analytics within a product context. Successfully navigating these will provide significant opportunities for professional growth and skill development.

💡 Interview Preparation

Strategy Questions:

• "Describe a time you designed a complex data visualization or analytics feature. What was your process, and what were the outcomes?" (Focus on data interpretation, user needs, and impact metrics).

• "How would you approach designing an AI feature that helps users discover unexpected insights from their data? What are the key considerations?" (Emphasize AI interaction patterns, managing user expectations, and demonstrating value).

Company & Culture Questions:

• "What interests you most about Manychat's mission and its role in conversational marketing and analytics?" (Research Manychat's market position, customer base, and product strategy).

• "How do you see AI evolving in the customer engagement and analytics space, and how can product design facilitate this evolution?" (Demonstrate forward-thinking and industry awareness).

Portfolio Presentation Strategy:

• Structure for Impact: For each project, start with the business/user problem, your specific role and responsibilities, your design process (research, ideation, iteration), key decisions and their rationale, and finally, the results and impact.

• Show, Don't Just Tell: Use visuals (screenshots, prototypes, user flows) extensively. For AI projects, consider short video demos or interactive prototypes that simulate AI responses.

• Quantify Your Contributions: Wherever possible, use metrics to demonstrate the success of your designs. If direct metrics are unavailable, discuss proxy metrics or user feedback.

• Highlight AI & Data Expertise: Explicitly call out your contributions to AI features and data-driven design. Explain your approach to making complex information understandable and actionable.

• Be Ready for Deep Dives: Anticipate detailed questions about your design choices, the trade-offs you made, and how you validated your solutions.

📝 Enhancement Note: Preparation should focus on demonstrating not just design skill but also strategic thinking, a deep understanding of data and AI, and the ability to collaborate effectively with technical teams to deliver impactful product experiences.

📌 Application Steps

To apply for this Senior Product Designer position:

• Submit your application through the provided Greenhouse link.

• Portfolio Customization: Tailor your portfolio to specifically highlight projects demonstrating expertise in data-driven design, AI interface design, conversational interfaces, and complex system design. Ensure case studies clearly articulate your process, challenges, and measurable impact.

• Resume Optimization: Update your resume to emphasize your 5+ years of experience in technology-driven organizations and explicitly mention your proficiency with Figma, AI tools, and experience with AI/data-rich products. Use keywords from the job description.

• Prepare for Presentation: Practice presenting your portfolio, focusing on storytelling, clear articulation of your design process, and demonstrating your ability to translate complex data and AI concepts into intuitive user experiences. Be ready to discuss specific projects in detail.

• Company Research: Thoroughly research Manychat, its product offerings, target audience, and recent news. Understand its position in the market and how your skills in analytics and AI design can contribute to its success.

⚠️ 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.