Sr Product Designer (Data Products)

📍 Job Overview

Job Title: Sr Product Designer (Data Products)

Company: Manychat

Location: Barcelona, Catalonia, Spain

Job Type: Full-Time

Category: Product Design / Data Products

Date Posted: March 04, 2026

Experience Level: 5+ Years

Remote Status: Hybrid

🚀 Role Summary

• Lead the end-to-end design of data experiences and insight dashboards within the Growth unit, focusing on creator-facing analytics and internal tools.

• Transform complex datasets into clear, trustworthy, and actionable user experiences that empower creators to understand performance and drive growth.

• Develop a deep understanding of creator workflows and data literacy needs to create intuitive and impactful data visualizations and interfaces.

• Collaborate closely with product managers, data scientists, engineers, and GTM teams to translate data into product strategy and measurable business outcomes.

• Drive product growth by designing data-informed solutions that enhance activation, retention, and monetization for creators.

📝 Enhancement Note: This role is specifically focused on "Data Products," indicating a strategic emphasis on leveraging data to inform product development and drive user success. The "Growth unit" context suggests a direct impact on key business metrics like acquisition, engagement, and revenue. The hybrid nature for the Barcelona headquarters means on-site collaboration is expected, but with flexibility.

📈 Primary Responsibilities

• Own the full UX for analytics features, including creator dashboards, funnels, performance insights, and monetization metrics.

• Design end-to-end insight journeys that reduce time-to-insight and guide users from understanding past performance to defining future actions.

• Define interaction patterns for data-dense user interfaces (charts, tables, filters, segments, experiments, cohorts) catering to both novice and advanced data users.

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

• Translate growth problems into data-informed design solutions that directly improve creator activation, retention, monetization, and overall success.

• Partner with product and data science to define key metrics, shape hypotheses, and design experiments (A/B tests, holdouts) to validate design improvements.

• Create compelling, value-focused data narratives that clearly articulate the ROI of automation, monetization upgrades, and new feature adoption for creators.

• Ensure dashboards directly contribute to improved conversion rates, better plan comprehension, and increased user confidence in the platform's value.

• Design interfaces that clearly explain the meaning behind metrics through explicit labeling, definitions, and plain-language summaries to build data literacy.

• Support creators with varying levels of data literacy by designing accessible, guided data experiences.

• Partner with content design and data teams to establish a unified metric glossary and consistent naming conventions across the product.

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

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

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

📝 Enhancement Note: The responsibilities highlight a strong emphasis on translating complex data into actionable insights for creators, a core tenet of GTM and Product Operations. The requirement to "build data literacy into the product" is particularly relevant for roles focused on empowering users through data.

🎓 Skills & Qualifications

Education: While no specific degree is mandated, a strong portfolio and demonstrable experience in relevant fields are paramount. Backgrounds in Design, Human-Computer Interaction (HCI), Data Science, or related quantitative fields are advantageous.

Experience: 5+ years of dedicated product design experience, with a substantial focus on data-rich products, analytics tools, dashboards, reporting interfaces, or internal data systems. Experience designing for creator tools, growth analytics, BI platforms, or embedded analytics is highly preferred.

Required Skills:

• Portfolio demonstrating end-to-end ownership of complex data experiences and quantifiable business or user impact.

• Mastery of information design principles and complex interaction patterns for data-heavy UIs.

• Expertise in data visualization best practices and designing for varying levels of data literacy.

• High data fluency and demonstrated ability to collaborate effectively with data analysts and data science teams.

• Experience in designing, executing, and iterating on experiments (e.g., A/B tests) to validate and improve analytics experiences.

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

• Advanced proficiency in Figma and rapid prototyping tools, including experience working with realistic data within prototypes.

Preferred Skills:

• Familiarity with creator economy tools, platforms, and workflows.

• Experience with growth analytics, business intelligence (BI) tools, or experimentation platforms.

• Exposure to AI-generated insights or anomaly detection patterns in design.

• Understanding of embedded analytics concepts and implementation.

📝 Enhancement Note: The emphasis on a portfolio showcasing "quantifiable business or user impact" is crucial for operations-focused roles. High data fluency and collaboration with data science are key indicators of the analytical rigor expected. Experience with experimentation and design systems points towards a structured, data-driven approach to product development.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Showcase end-to-end design ownership of complex data experiences, detailing the problem, your process, and the resulting impact.

• Include case studies that demonstrate how your design decisions translated into measurable business or user outcomes (e.g., increased understanding, improved decision-making, higher conversion rates).

• Present examples of designing for data literacy, including how you simplified complex data or guided users through data interpretation.

• Highlight experience with data visualization, information design, and the creation of intuitive dashboards and analytics surfaces.

Process Documentation:

• Detail your design process for tackling data-related challenges, from discovery and research to ideation, prototyping, and iteration.

• Illustrate how you collaborate with product managers, data scientists, and engineers throughout the design lifecycle, providing specific examples of cross-functional alignment.

• Showcase your approach to defining and tracking UX success metrics related to data products (e.g., time-to-insight, dashboard engagement, clarity of metrics).

• Document your experience in contributing to or evolving design systems, particularly for data visualization components and interactive elements.

📝 Enhancement Note: The portfolio requirements strongly emphasize demonstrating impact and process. Operations candidates should prepare case studies that highlight their ability to translate data into actionable improvements and showcase their systematic approach to design, akin to process optimization in operations.

💵 Compensation & Benefits

Salary Range: For a Senior Product Designer with 5+ years of experience in Barcelona, Spain, the estimated annual salary range is typically between €55,000 and €75,000. This estimate is based on industry benchmarks for senior design roles in tech companies in major European cities, considering the company's likely growth-stage and focus on specialized product areas.

Benefits:

• Hybrid onboarding with relocation support for individuals and families.

• Comprehensive health insurance for employees and their families.

• Professional development budget for conferences, online courses, and other learning resources.

• Flexible benefits package allowing customization of perks.

• Generous leave options to support work-life balance.

• In-office perks, including complimentary meals and snacks.

• Company-funded sport activities, annual offsites, and team-building events.

Working Hours: The role is full-time, with an estimated standard working week of 40 hours. While the role is hybrid, specific daily schedules can be flexible, allowing for efficient work across different time zones and personal needs, while ensuring collaboration during core business hours.

📝 Enhancement Note: Salary estimation is based on market data for senior design roles in Barcelona, a significant tech hub. The benefits package is robust, with a notable emphasis on professional development and work-life balance, which are attractive to operations professionals seeking growth and stability.

🎯 Team & Company Context

🏢 Company Culture

Industry: Chat Marketing Platform / SaaS for Creators. Manychat operates in the rapidly growing MarTech and creator economy space, providing automation and engagement tools for businesses and individuals operating on platforms like Instagram, Messenger, WhatsApp, and TikTok. This context means a strong focus on user acquisition, retention, and monetization for their clients.

Company Size: 350+ employees spread across three continents. This size indicates a well-established startup or scale-up environment, meaning processes are likely more defined than in very early-stage startups but still agile and evolving.

Founded: While the founding date isn't explicitly provided, the company's scale and global presence suggest it's a mature scale-up, likely founded in the mid-to-late 2010s.

Team Structure: The role is within the "Growth unit," suggesting a dedicated team focused on driving user acquisition, engagement, and retention metrics. The design team likely operates with a matrixed structure, with designers embedded in specific product units or feature teams, reporting up through a design leadership. Collaboration with Product Management, Data Science, and Engineering within the Growth unit will be critical.

Methodology: Manychat emphasizes data-informed decision-making and user-centric design. The Growth unit likely employs agile methodologies, focusing on rapid iteration, A/B testing, and continuous improvement of key metrics. The role requires a blend of user research, data analysis, and design execution to identify and capitalize on growth opportunities.

Company Website: https://manychat.com/

📝 Enhancement Note: The company's focus on creators and growth metrics implies a culture that values data-driven insights, user success, and continuous improvement – principles highly aligned with Revenue and Sales Operations. The "Growth unit" context is key for understanding the team's objectives.

📈 Career & Growth Analysis

Operations Career Level: This is a Senior Product Designer role, signifying a mid-to-senior level position within the design function. It requires significant autonomy, ownership of complex problem spaces, and the ability to mentor others. In an operations context, this level often translates to a Senior Analyst, Manager, or Lead role, where strategic thinking and independent problem-solving are expected.

Reporting Structure: The designer will likely report to a Design Lead or Head of Product Design within the Growth unit or the broader product organization. They will collaborate extensively with Product Managers and Data Scientists within their specific unit.

Operations Impact: The role's direct impact on "measurable growth impact" and "creator success" means the designer will be instrumental in shaping how creators understand their business performance and identify opportunities for increased sales and engagement. This translates directly to driving revenue for both Manychat's creators and Manychat itself through platform adoption and upgrades.

Growth Opportunities:

• Skill Advancement: Deepen expertise in data visualization, complex data interactions, and designing for data literacy. Opportunities to work with advanced analytics tools and potentially AI-driven insights.

• Leadership Development: Potential to mentor junior designers, contribute to design system evolution, and influence design strategy within the Growth unit. This can pave the way for Lead Designer or Principal Designer roles.

• Cross-Functional Expertise: Gain significant experience collaborating with Data Science and Product Management, fostering a strong understanding of product strategy, growth hacking, and data-driven product development.

• Impactful Projects: Lead design initiatives for critical analytics features that directly influence user growth and monetization, offering tangible career achievements.

📝 Enhancement Note: The career path for a Senior Product Designer in a growth-focused SaaS company often involves significant exposure to data strategy and business impact, making it a valuable stepping stone for those looking to pivot into more strategic operations roles or deepen their analytical design skills.

🌐 Work Environment

Office Type: The role is hybrid for the Barcelona headquarters, indicating a modern office space designed for collaboration and focused work. This environment likely includes meeting rooms, open collaboration areas, and quiet zones.

Office Location(s): Barcelona, Catalonia, Spain. This location offers a vibrant tech scene and a high quality of life, making it an attractive base for operations professionals.

Workspace Context:

• Collaborative Environment: The hybrid model necessitates intentional collaboration. Designers will use office days for workshops, brainstorming sessions, and team syncs, leveraging tools for remote collaboration on other days.

• Tools & Technology: Access to industry-standard design software (Figma), prototyping tools, and internal communication platforms. Close integration with data analysis tools and platforms used by the data science and product teams.

• Team Interaction: Regular interaction with product managers, data scientists, engineers, and fellow designers within the Growth unit. Opportunities for knowledge sharing and design critiques.

Work Schedule: The hybrid arrangement offers flexibility. While 40 hours per week is standard, designers can often structure their days to balance in-office collaboration with remote focus time. This flexibility is beneficial for deep analytical work and iterative design processes common in operations.

📝 Enhancement Note: The hybrid nature of the role in Barcelona implies a need for strong self-management and communication skills, essential for any operations professional navigating flexible work environments.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: Review of resume and portfolio for relevant experience in data product design and demonstrable impact.

• Design Challenge/Case Study: Candidates may be asked to present a portfolio case study or complete a take-home assignment focusing on a data analytics problem. This assesses problem-solving, design thinking, and communication skills.

• Hiring Manager/Team Interview: Discussion about experience, design philosophy, collaboration style, and understanding of data-driven product development.

• Cross-Functional Interviews: Interviews with Product Managers, Data Scientists, and potentially Engineers to assess collaboration and alignment with GTM and product strategy.

• Final Interview: Often with senior leadership to discuss cultural fit, leadership potential, and strategic alignment.

Portfolio Review Tips:

• Focus on Impact: Clearly articulate the "so what?" for each project. Quantify user or business impact whenever possible (e.g., "Increased dashboard engagement by 15%," "Reduced time-to-insight by 20%").

• Showcase Your Process: Detail your approach to understanding user needs, analyzing data, defining problems, ideating solutions, and iterating based on feedback and metrics. Use visuals to illustrate your journey.

• Highlight Data Visualization: Dedicate sections to how you approached data visualization, information hierarchy, and making complex data accessible and actionable.

• Demonstrate Collaboration: Include examples of how you partnered with data scientists, product managers, and engineers. Explain how you translated their insights into design.

• Tailor to the Role: Emphasize projects involving dashboards, analytics, data literacy, and driving growth. If you have experience with creator tools or SaaS platforms, highlight those.

Challenge Preparation:

• Understand the Business: Research Manychat, its target audience (creators), its competitors, and its core value proposition. Understand how data products contribute to their business model.

• Data-Centric Thinking: Be prepared to discuss how you would approach designing for data, including understanding metric definitions, potential data issues (sparsity, errors), and user interpretation.

• Growth Mindset: Think about how design can directly influence growth metrics (activation, retention, monetization).

• Communication: Practice articulating your design decisions clearly and concisely, especially when explaining complex data concepts or trade-offs.

📝 Enhancement Note: The emphasis on a portfolio showcasing impact and a structured interview process focused on problem-solving and collaboration is standard for senior roles in tech. Operations candidates should prepare to discuss their metrics-driven approach and ability to translate data into tangible business outcomes.

🛠 Tools & Technology Stack

Primary Tools:

• Figma: The core tool for UI design, wireframing, prototyping, and collaboration. Expect advanced usage for complex data interfaces.

• Prototyping Tools: Likely integrated within Figma or separate tools like InVision, Framer, or Principle for creating interactive prototypes with realistic data.

• Design System Tools: Figma's component system or a dedicated design system management tool for maintaining consistency and scalability.

Analytics & Reporting:

• Data Visualization Libraries/Tools: While designers may not directly use these, understanding their output (e.g., D3.js, Chart.js, Looker, Tableau, Power BI) is beneficial. The role involves designing interfaces that display data from these systems.

• Analytics Platforms: Experience with tools like Google Analytics, Mixpanel, Amplitude, or custom internal analytics dashboards for understanding user behavior and product performance.

• Experimentation Platforms: Familiarity with A/B testing tools (e.g., Optimizely, VWO, internal tools) for validating design hypotheses.

CRM & Automation:

• While not a primary focus for the designer, understanding the creator's workflow, which involves marketing automation, might require familiarity with concepts related to CRM and marketing automation platforms (like Manychat itself).

📝 Enhancement Note: Proficiency in Figma and advanced prototyping is essential. An understanding of how analytics and experimentation platforms feed into design decisions is crucial for a role focused on data products and growth impact.

👥 Team Culture & Values

Operations Values:

• Data-Driven Decisions: A fundamental value where insights from data inform product strategy, design choices, and business objectives. This aligns with operations' reliance on metrics for performance tracking and improvement.

• User-Centricity: Deep focus on understanding and serving the needs of creators, ensuring the platform provides real value and facilitates their growth.

• Growth Mindset: A culture that encourages continuous learning, experimentation, and iteration to drive measurable improvements in user engagement and business outcomes.

• Collaboration & Transparency: Open communication and strong partnerships across product, data, design, and engineering teams to achieve shared goals.

• Impact & Accountability: A focus on delivering tangible results and taking ownership of outcomes, particularly concerning growth metrics and creator success.

Collaboration Style:

• Cross-Functional Integration: Designers are expected to be active participants in product discovery, working closely with Product Managers to define problems and Data Scientists to interpret data.

• Iterative Feedback Loops: Regular design reviews, critiques, and user testing sessions to gather feedback and refine designs.

• Knowledge Sharing: Encouraging the sharing of best practices, design patterns, and learnings from user research and data analysis.

• Empowerment: Designers are empowered to take ownership of their problem spaces and drive solutions, while also being open to diverse perspectives and constructive criticism.

📝 Enhancement Note: The emphasis on data-driven decisions, growth mindset, and cross-functional collaboration strongly resonates with the core principles of Revenue and Sales Operations, suggesting a culture where operations professionals can thrive.

⚡ Challenges & Growth Opportunities

Challenges:

• Translating Ambiguity: Navigating complex, often messy, datasets and user behaviors to define clear design problems and solutions.

• Balancing User Needs with Business Goals: Designing analytics that are both insightful for creators and drive key business metrics for Manychat.

• Catering to Diverse Data Literacy: Designing experiences that are accessible and valuable to creators with a wide range of data analysis skills.

• Ensuring Data Accuracy & Trust: Designing interfaces that clearly represent data, handle errors gracefully, and build user trust in the platform's metrics.

• Maintaining Design System Scalability: Evolving the design system to accommodate new data visualization patterns and complex interactions across multiple product surfaces.

Learning & Development Opportunities:

• Advanced Data Visualization & Interaction Design: Deepen expertise in designing for complex data scenarios, interactive charts, and sophisticated data exploration tools.

• Growth Product Strategy: Gain insights into how product design directly influences key growth levers like activation, retention, and monetization.

• Cross-Disciplinary Collaboration: Hone skills in working effectively with data scientists, product managers, and engineers on data-intensive product development.

• Mentorship & Design Leadership: Opportunities to mentor junior designers, contribute to design craft standards, and potentially lead design initiatives within the Growth unit.

• Industry Trends: Stay abreast of emerging trends in AI-driven insights, embedded analytics, and the evolving landscape of creator tools.

📝 Enhancement Note: The challenges highlight the need for analytical rigor, problem-solving skills, and adaptability – all key traits for successful operations professionals. The growth opportunities offer clear paths for skill enhancement and career progression within the product and data space.

💡 Interview Preparation

Strategy Questions:

• "Describe a time you had to design an analytics dashboard for users with varying levels of data literacy. How did you ensure it was both informative and accessible?" (Focus on your process, user research, and design solutions for data literacy).

• "Walk us through a complex data-rich product you designed. What was the core problem, how did you use data to inform your design, and what was the measurable impact?" (Prepare a detailed case study from your portfolio, emphasizing metrics and ROI).

• "How do you collaborate with data scientists and product managers when defining new analytics features? What are the key inputs and outputs of this collaboration?" (Highlight your communication, negotiation, and integration skills).

Company & Culture Questions:

• "What interests you most about Manychat and our mission to help creators grow?" (Research Manychat's mission, target audience, and recent developments).

• "How do you approach building trust with users through data presentation?" (Discuss principles of clear labeling, accurate representation, and error handling).

Portfolio Presentation Strategy:

• Structure: Organize your presentation logically: Problem -> Your Role -> Process -> Solution -> Impact/Results.

• Storytelling: Weave a narrative around each case study. Explain the "why" behind your decisions.

• Visuals: Use high-fidelity mockups, prototypes, and clear data visualizations. Show the evolution of your designs.

• Metrics: Clearly articulate the metrics you influenced or tracked, and quantify the impact of your work.

• Collaboration: Briefly mention key collaborators and how you worked together.

• Conciseness: Be mindful of time. Focus on the most impactful projects and key learnings.

📝 Enhancement Note: Preparing specific examples that showcase your ability to translate data into actionable insights and measurable impact will be crucial. Articulating your collaborative process with data-focused teams is also key.

📌 Application Steps

To apply for this Sr. Product Designer (Data Products) position:

• Submit your application through the provided Greenhouse link.

• Portfolio Customization: Tailor your resume and portfolio to highlight your experience with data products, analytics dashboards, data visualization, and driving measurable growth impact. Select 2-3 key projects that best demonstrate these skills.

• Resume Optimization: Ensure your resume clearly outlines your experience (5+ years) with data-rich products, analytics tools, and your proficiency in Figma and prototyping. Quantify achievements where possible.

• Interview Preparation: Practice articulating your design process, especially how you approach data-informed design and collaboration with data science teams. Prepare to present your chosen portfolio case studies with a strong emphasis on impact and ROI.

• Company Research: Thoroughly research Manychat, its mission, its creator focus, and the competitive landscape of chat marketing and creator tools. Understand how data products fit into their growth strategy.

⚠️ 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.

---