Senior Product Designer (Data Products)

📍 Job Overview

Job Title: Senior Product Designer (Data Products)

Company: Manychat

Location: Amsterdam, Netherlands

Job Type: Full-Time

Category: Product Design / Data Products

Date Posted: December 03, 2025

Experience Level: 5-10 Years

Remote Status: Hybrid

🚀 Role Summary

• Lead the end-to-end design of data experiences and insight dashboards within the Growth unit, focusing on empowering creators to understand performance and drive growth.

• Transform complex datasets into clear, trustworthy, and actionable user interfaces, catering to both beginner and advanced data users.

• Drive measurable business impact by designing solutions that improve creator activation, retention, monetization, and overall success.

• Champion data literacy within the product by creating intuitive interfaces that explain metric meanings and support users with varying levels of data expertise.

📝 Enhancement Note: This role is specifically focused on "Data Products," which implies a deep understanding of how users interact with data, derive insights, and make decisions based on that data. The emphasis on "Growth Unit" and "creator success" suggests that the design will directly impact user acquisition, retention, and monetization strategies.

📈 Primary Responsibilities

• Own the full user experience (UX) for analytics features, including creator dashboards, funnel analysis, performance insights, and monetization metrics.

• Design end-to-end insight journeys that minimize time-to-insight and guide users from understanding past performance to actionable future steps.

• Define interaction patterns for data-dense user interfaces, such as charts, tables, filters, segments, experiments, and cohort analysis, ensuring usability for all data literacy levels.

• Ensure design consistency across web and mobile platforms, internal tools, and the company's design system.

• Translate growth challenges into data-informed design solutions that enhance key performance indicators such as activation, retention, and monetization.

• Collaborate closely with product managers, data scientists, and analysts to define key metrics, formulate hypotheses, and design experiments (A/B tests, holdouts) to validate design improvements.

• Develop compelling, value-focused data narratives that clearly articulate the Return on Investment (ROI) of product features, such as automation, monetization upgrades, and new functionalities.

• Design dashboards that directly contribute to increased conversion rates, improved plan comprehension, and enhanced user confidence.

• Create interfaces that clarify the meaning behind metrics through clear labeling, definitions, and plain-language summaries, thereby building data literacy into the product.

• Partner with content designers and data teams to establish a unified metric glossary and naming system across the entire product suite.

• Lead discovery processes for complex data problems, including framing key questions, identifying necessary data sources, evaluating trade-offs, and shaping product scope.

• Utilize prototypes, storytelling techniques, and data scenarios to align stakeholders on insights, opportunities, and potential business impact.

• Document design decisions, patterns, and guidelines to ensure scalable and consistent execution across various product teams.

📝 Enhancement Note: The responsibilities highlight a strong emphasis on data-driven decision-making, A/B testing, and measuring the direct impact of design on business metrics. This is a key characteristic of roles within Revenue Operations and Sales Operations, focusing on optimizing user behavior and business outcomes through product design.

🎓 Skills & Qualifications

Education: While no specific degree is mandated, a strong portfolio and demonstrated experience in data product design are prioritized. A background in HCI, Design, Computer Science, or a related quantitative field is beneficial.

Experience: 5+ years of product design experience, with a significant focus on data-rich products, analytics tools, dashboards, reporting interfaces, or internal data systems.

Required Skills:

• Demonstrated experience in designing end-to-end analytics features, including dashboards, funnels, and performance insights.

• Mastery of information design, complex interaction patterns, and data visualization principles.

• Proven ability to design for data literacy, making complex data accessible and understandable to a broad user base.

• High data fluency and comfort collaborating effectively with data analysts and data science teams.

• Experience designing and interpreting results from experiments (e.g., A/B tests) to iteratively improve analytics experiences.

• Strong systems thinking capabilities, with experience contributing to or evolving design systems.

• Advanced proficiency in Figma and rapid prototyping tools, with the ability to incorporate realistic data into prototypes.

• Experience mentoring junior designers or contributing to craft leadership within a design team.

• Ability to operate autonomously, own complex problem areas, and elevate the quality of analytics UX.

Preferred Skills:

• Background in creator tools, growth analytics platforms, Business Intelligence (BI) tools, or experimentation platforms.

• Familiarity with AI-generated insights or anomaly detection patterns in data products.

• Experience with embedded analytics solutions.

• Understanding of creator workflows and monetization strategies within digital platforms.

📝 Enhancement Note: The requirement for "high data fluency" and collaboration with "data analysts and data science teams" points towards a need for strong analytical capabilities and the ability to interpret quantitative data. This is crucial for roles focused on revenue and sales operations, where data-driven insights are paramount for strategic decision-making and process optimization.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• A comprehensive portfolio showcasing end-to-end ownership of complex data experiences.

• Demonstrate how your design work has directly driven measurable business impact (e.g., improved conversion rates, increased user retention, enhanced data comprehension).

• Case studies that highlight your process for understanding user jobs, analyzing data, and identifying key insight gaps or conversion barriers.

• Examples of designing for data literacy, including clear labeling, metric definitions, and plain-language summaries within interfaces.

Process Documentation:

• Evidence of leading discovery processes for data-related problems, including framing questions, identifying data needs, and evaluating trade-offs.

• Documentation of collaboration with product managers, data scientists, and engineers to define metrics, shape hypotheses, and design experiments.

• Examples of creating data narratives and using prototypes/storytelling to align stakeholders around insights and opportunities.

• Demonstrate how you ensure design-to-code parity and maintain consistency across platforms and design systems.

📝 Enhancement Note: The emphasis on a "portfolio demonstrating end-to-end ownership of complex data experiences and how your work drove business or user impact" is a strong indicator of the need for candidates to present concrete examples of process optimization and measurable results, a core requirement in operations roles.

💵 Compensation & Benefits

Salary Range: While not explicitly stated, for a Senior Product Designer role with 5-10 years of experience in Amsterdam, Netherlands, a competitive salary range would typically fall between €70,000 and €95,000 annually. This estimate is based on industry benchmarks for senior design roles in major European tech hubs, considering the hybrid work model and the specialized nature of data products.

Benefits:

• Professional development budget for relevant conference tickets, training programs, or courses.

• Flexible benefits plan to customize personal perks.

• Comprehensive health insurance for the employee, their partner, and children.

• Free meals and snacks provided in the office.

• Relocation support for the employee and their family.

• Hybrid work format offering a balance between home and office.

• Remote onboarding and probation period for candidates outside of Barcelona (note: this specific mention might be a legacy point, as the role is in Amsterdam).

Working Hours: The role is likely based on a standard 40-hour work week, with flexibility offered through the hybrid model. Operations roles often require a degree of adaptability to meet project deadlines and support cross-functional teams.

📝 Enhancement Note: The salary estimate is based on current market data for senior product designers in Amsterdam and factors in the specialized nature of data products. Benefits are tailored to attract and retain talent in the competitive tech industry, with a focus on professional growth and well-being, which are also key considerations for operations professionals.

🎯 Team & Company Context

🏢 Company Culture

Industry: Chat Marketing Platform / SaaS (Software as a Service)

Company Size: Over 230 teammates across multiple international offices. This size suggests a dynamic environment with established processes but still retaining agility.

Founded: Manychat was founded to empower businesses with accessible marketing tools. While the exact founding year isn't provided, its growth to over 1 million brands indicates a mature and successful company.

Team Structure:

• The role is within the "Growth unit," suggesting a team focused on driving user acquisition, engagement, and retention.

• The Senior Product Designer will collaborate closely with Product Managers, Data Scientists, Analysts, Engineers, and Go-To-Market (GTM) teams, indicating a highly cross-functional and collaborative environment.

Methodology:

• Data-Driven Design: The role emphasizes translating growth problems into data-informed solutions and using quantitative metrics to validate improvements.

• User-Centricity: Focus on understanding "user jobs," designing for "data literacy," and grounding solutions in "real usage patterns."

• Iterative Improvement: Designing experiments (A/B tests) and tracking UX success metrics for continuous enhancement.

• Systems Thinking: Emphasis on consistency across platforms and contributing to a design system.

Company Website: https://manychat.com/

📝 Enhancement Note: Operating within a "Growth Unit" and focusing on "data products" means this role is deeply embedded in revenue-generating and user-engagement strategies, aligning perfectly with the goals of Sales Operations and Revenue Operations. The emphasis on data and experimentation is a hallmark of efficient operations teams.

📈 Career & Growth Analysis

Operations Career Level: This is a Senior-level Product Designer role, indicating significant autonomy, ownership of complex problem areas, and the expectation to "raise the bar" for design quality. It implies a level of influence and expertise akin to a senior analyst or manager in an operations context, where strategic thinking and problem-solving are key.

Reporting Structure: The role is part of the "Growth unit" and will collaborate closely with Product Managers and Data Scientists. The designer will likely report to a Design Lead or Head of Product, acting as the design expert for data products within the growth team.

Operations Impact: The designer's work will have a direct impact on:

• Creator Success: Enabling creators to understand their performance, identify growth opportunities, and make informed decisions.

• Product Adoption & Retention: Designing intuitive data experiences that encourage deeper engagement with the platform.

• Monetization: Influencing creator confidence in paid features and upgrades through clear ROI demonstration.

• Business Growth: Translating insights into actionable strategies that drive key business metrics for Manychat and its users.

Growth Opportunities:

• Craft Leadership: Opportunity to mentor other designers and contribute to team-wide craft standards, particularly in information design and systems thinking.

• Specialization: Deepen expertise in data visualization, data literacy design, and analytics UX within the creator economy.

• Strategic Influence: Play a key role in shaping the product roadmap for data products and influencing growth strategies through design.

• Cross-Functional Exposure: Gain deep understanding of product management, data science, and GTM strategies within a fast-growing SaaS company.

• Potential for Team Lead: As a senior member, opportunities to lead design initiatives or take on more significant ownership within the Growth unit.

📝 Enhancement Note: The "Operations Impact" section directly translates the product design role's influence into business outcomes, mirroring how operations roles are measured by their contribution to revenue, efficiency, and strategic goals. Growth opportunities also reflect typical career progression in operations, emphasizing leadership, specialization, and strategic influence.

🌐 Work Environment

Office Type: Hybrid work environment. This involves splitting time between working from home and the Manychat office in Amsterdam.

Office Location(s): Amsterdam, Netherlands. This is Manychat's headquarters, suggesting a central hub for innovation and collaboration.

Workspace Context:

• Collaborative Environment: The hybrid model fosters collaboration through in-office days, while remote work offers focus and flexibility. The role requires close partnership with Product, Data Science, and Engineering.

• Tools & Technology: Access to industry-standard design tools (Figma), rapid prototyping software, and potentially internal data analysis tools. The environment encourages leveraging data to inform design decisions.

• Team Interaction: Opportunities for in-person brainstorming, design critiques, and knowledge sharing with colleagues in the Amsterdam office, alongside virtual collaboration with global teams.

Work Schedule: While a standard 40-hour week is implied, the hybrid nature and the demands of product development often allow for some flexibility in managing working hours, provided project milestones and team collaboration needs are met. This flexibility is often appreciated in operations roles that require deep analytical work.

📝 Enhancement Note: The hybrid work environment and emphasis on collaboration are key aspects of modern tech workplaces, including those for operations professionals who often work with distributed teams and require focused analytical time alongside interactive sessions.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A conversation with a recruiter to assess basic qualifications, cultural fit, and understanding of the role's scope, particularly regarding data products and growth.

• Design Challenge/Portfolio Review: A deeper dive into the candidate's portfolio, focusing on specific case studies related to data experiences, analytics dashboards, or complex data visualization. This may involve a take-home challenge or an in-depth presentation of past work.

• Cross-Functional Interviews: Meetings with Product Managers, Data Scientists, and Engineers to evaluate collaboration skills, understanding of data, and ability to translate technical requirements into user-centric designs.

• Hiring Manager Interview: A final discussion with the hiring manager to assess leadership potential, strategic thinking, and alignment with the team's vision for data products.

Portfolio Review Tips:

• Highlight Data Expertise: Showcase projects where you designed complex data visualizations, dashboards, or analytics tools. Clearly explain the data sources, challenges, and your design solutions.

• Demonstrate Impact: For each relevant case study, quantify the business or user impact. Use metrics such as improved time-to-insight, increased dashboard usage, higher conversion rates, or enhanced decision clarity.

• Showcase Process: Detail your design process, from user research and problem framing to prototyping, iteration based on data, and collaboration with data teams. Explain how you approached designing for data literacy.

• Focus on "Growth Unit" Relevance: Tailor your presentation to emphasize designs that drove user growth, retention, or monetization, aligning with the team's objectives.

• Present Realistic Data: If possible, use realistic (even anonymized) data in your prototypes or case study examples to demonstrate your comfort with data-dense UIs.

Challenge Preparation:

• Understand Data Visualization Best Practices: Be prepared to discuss principles of effective data visualization, chart selection, and avoiding common pitfalls.

• Practice Explaining Complex Data: Develop clear, concise ways to explain complex data concepts and insights to both technical and non-technical audiences.

• Anticipate "Why?" Questions: Be ready to articulate the rationale behind your design decisions, especially concerning data interpretation and user actions.

• Familiarize with Growth Metrics: Understand common growth metrics (activation, retention, monetization) and how product design can influence them.

📝 Enhancement Note: The emphasis on a "portfolio demonstrating end-to-end ownership" and "how your work drove business or user impact" directly translates to the need for candidates to present process optimization case studies. This interview preparation advice is tailored to showcase how a designer can contribute to business objectives, similar to how operations professionals present their achievements.

🛠 Tools & Technology Stack

Primary Tools:

• Figma: Essential for UI design, prototyping, and collaboration. Advanced proficiency is expected.

• Prototyping Tools: Rapid prototyping capabilities are crucial for testing complex interactions and data scenarios.

• Design Systems: Experience with contributing to or leveraging design systems for consistency and scalability.

Analytics & Reporting:

• Data Visualization Libraries/Tools: While not explicitly listed as a tool to use, a strong understanding of principles behind tools like D3.js, Tableau, Power BI, or Looker is implied for effective design.

• Experimentation Platforms: Experience designing for A/B tests and understanding how results are tracked.

CRM & Automation:

• While not directly a CRM role, understanding how user data is collected and utilized within a platform like Manychat is beneficial. Familiarity with how marketing automation platforms handle data flows can be an advantage.

📝 Enhancement Note: The mention of "Figma" and "rapid prototyping" is standard for design roles. However, the context of "data-rich products," "analytics tools," and "working with realistic data" implies a need for designers who can deeply understand and interact with data visualization principles and tools, a skill set highly valued in operations for analytical reporting and dashboard creation.

👥 Team Culture & Values

Operations Values:

• Data-Driven Decision Making: Decisions are grounded in user data, performance metrics, and validated insights.

• User Focus & Empathy: A commitment to understanding creator needs, challenges, and workflows, especially concerning data interpretation.

• Collaboration & Transparency: Open communication and close partnership across Product, Engineering, Data Science, and GTM teams.

• Bias for Action & Iteration: A culture that encourages experimentation, learning from results, and continuous improvement.

• Ownership & Accountability: Taking responsibility for complex problem areas and driving them to successful outcomes.

Collaboration Style:

• Cross-Functional Integration: Designers are integral members of product teams, working closely with PMs, Data Scientists, and Engineers from discovery through execution.

• Constructive Feedback: A culture that values open critique and feedback to elevate design quality and problem-solving.

• Knowledge Sharing: Encouraging the sharing of insights, best practices, and learnings, particularly around data interpretation and user behavior.

📝 Enhancement Note: The values described – data-driven, user-focused, collaborative, and iterative – are foundational to successful operations teams. A candidate who embodies these values will likely thrive in an operations-oriented environment.

⚡ Challenges & Growth Opportunities

Challenges:

• Designing for Diverse Data Literacy: Creating intuitive interfaces that cater to a wide range of user expertise, from novice to expert data users.

• Translating Complex Data: Simplifying intricate datasets and analytical concepts into clear, actionable insights for creators.

• Driving Measurable Growth: Directly linking design decisions to tangible improvements in user activation, retention, and monetization metrics.

• Balancing Design Systems with Data Density: Ensuring consistency and scalability while accommodating the complexity of data-rich interfaces.

• Alignment on Data Definitions: Collaborating with multiple teams to establish and maintain a unified understanding and naming convention for key metrics.

Learning & Development Opportunities:

• Deepen Data Product Expertise: Gain specialized knowledge in designing for analytics, BI, experimentation, and AI-driven insights.

• Mentorship and Leadership: Opportunity to mentor junior designers and contribute to the strategic direction of design within the Growth Unit.

• Cross-Functional Skill Development: Enhance understanding of product management, data science methodologies, and GTM strategies.

• Industry Exposure: Working with a leading Chat Marketing platform and a large user base provides insights into creator economy trends and growth hacking.

• Continuous Learning: Access to a professional development budget for courses, conferences, and training to stay current with design and data trends.

📝 Enhancement Note: The challenges presented are common in roles that bridge product, data, and business objectives, mirroring the complexities faced in operations roles that require analytical rigor and cross-functional alignment to drive business outcomes.

💡 Interview Preparation

Strategy Questions:

• "Tell me about a complex data product you designed. What were the key challenges, how did you address them, and what was the impact?"

  • Preparation: Select a case study that clearly demonstrates your process for handling data density, visualization, and user comprehension. Quantify the impact on user behavior or business metrics. Focus on your role in translating complex data into actionable insights.

• "How do you approach designing for users with varying levels of data literacy? Can you give an example?"

  • Preparation: Discuss strategies like progressive disclosure, clear labeling, tooltips, metric definitions, plain-language summaries, and onboarding flows. Use an example from your portfolio to illustrate these techniques.

• "Imagine we want to help creators understand the ROI of our premium features. How would you approach designing the analytics for this?"

  • Preparation: Outline your discovery process, potential metrics to track, types of visualizations you might use, and how you'd ensure the design clearly communicates value and encourages upgrades. Consider A/B testing hypotheses.

Company & Culture Questions:

• "Why are you interested in Manychat and our Growth unit specifically?"

  • Preparation: Research Manychat's mission, target audience (creators), and recent developments. Connect your interest in data products and growth to their business model.

• "How do you collaborate with product managers and data scientists?"

  • Preparation: Emphasize your ability to partner, ask clarifying questions, translate technical data into design requirements, and align on metrics and hypotheses. Reference specific examples of effective cross-functional collaboration.

• "How do you measure the success of your design work, especially for data products?"

  • Preparation: Discuss UX success metrics like time-to-insight, dashboard repeat usage, decision clarity, experiment win rates, and conversion uplift. Be prepared to discuss how you define and track these.

Portfolio Presentation Strategy:

• Structure for Impact: Begin with a high-level overview of the problem and your solution. Dedicate significant time to detailing your process, the data involved, your design decisions (especially for visualization and interaction patterns), and critically, the measurable impact.

• Quantify Results: Use numbers and specific metrics to showcase the success of your designs. Show how your work directly contributed to business goals or user outcomes.

• Highlight Data-Specific Skills: Explicitly point out how you handled data complexity, visualization, and information hierarchy in your projects.

• Be Ready for Deep Dives: Anticipate questions about your rationale, trade-offs made, and how you validated your designs with users and data.

• Showcase Systems Thinking: Explain how your designs integrate with existing systems or design patterns, ensuring scalability and consistency.

📝 Enhancement Note: The interview preparation focuses on demonstrating analytical thinking, problem-solving skills, and the ability to connect design work to tangible business results – core competencies for operations professionals. The emphasis on quantifying impact and understanding business metrics is particularly relevant.

📌 Application Steps

To apply for this Senior Product Designer position:

• Submit your application through the provided Greenhouse link.

• Customize Your Resume: Highlight experience with data products, analytics tools, dashboards, and data visualization. Use keywords from the job description such as "data literacy," "growth analytics," "experimentation," and "Figma." Quantify achievements with metrics where possible.

• Curate Your Portfolio: Select 2-3 of your strongest projects that best showcase your experience with complex data experiences, dashboards, and driving user/business impact. Ensure each case study clearly outlines the problem, your process, your solutions, and the measurable results.

• Prepare Your Presentation: Practice walking through your portfolio with a focus on clarity, impact, and your understanding of data-driven design. Be ready to articulate your design rationale and how your work contributes to growth and user success.

• Research Manychat: Understand their product, target audience (creators), and their position in the market. Consider how data and analytics play a role in their platform's success and their users' growth.

⚠️ 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.