Sr Product Designer

📍 Job Overview

Job Title: Sr Product Designer

Company: Manychat

Location: Barcelona, Catalonia, Spain

Job Type: Full-time

Category: Product Design / UX/UI

Date Posted: April 15, 2026

Experience Level: 5-10 Years

Remote Status: Hybrid

🚀 Role Summary

• Design and deliver intuitive, data-rich user experiences that transform complex information into clear, actionable insights for users, leveraging product analytics and AI.

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

• Explore and implement innovative AI functionalities within analytics, focusing on surfacing insights, enabling conversational exploration, and guiding users toward data-informed decisions.

• Foster strong, collaborative partnerships with product management, engineering, and data science teams to align on strategic priorities and ensure high-quality product outcomes.

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

📝 Enhancement Note: The role emphasizes a strong focus on data-driven design and the integration of AI into product analytics. The Senior Product Designer will be instrumental in shaping how users interact with complex data and AI-powered insights, requiring a blend of strong UX/UI skills, an understanding of data visualization, and a forward-thinking approach to human-AI interaction.

📈 Primary Responsibilities

• Lead end-to-end product design for assigned problem areas, consistently identifying and resolving friction points to enhance user experiences and drive product adoption.

• Conduct and partner on user research initiatives, employing both qualitative and quantitative methods to gather insights that inform design decisions and validate proposed solutions.

• Design and prototype complex systems, user flows, and data-rich interfaces, ensuring they are intuitive, actionable, and aligned with user needs and business objectives.

• Actively contribute to the evolution and maintenance of design systems and UI patterns, with a particular focus on those applicable to data-intensive and AI-enhanced features.

• Proactively identify product opportunities, functional gaps, and potential blockers, facilitating efficient team progress and maintaining strategic alignment across departments.

• Develop clear and structured design artifacts, including user flows, wireframes, interactive prototypes, and design documentation, to effectively communicate design decisions and support cross-functional alignment.

• Champion user-centered design principles and advocate for high-impact solutions by communicating design decisions persuasively using storytelling, data rationale, and user insights.

📝 Enhancement Note: The responsibilities highlight a senior-level individual contributor role with significant ownership. The emphasis on "end-to-end design," "leading research," and "influencing product decisions" suggests a need for a proactive and strategic designer who can operate with autonomy and drive significant impact within the product analytics domain.

🎓 Skills & Qualifications

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

Experience: 5+ years of experience as a Product Designer in a technology-driven organization, with a proven history of delivering impactful end-to-end product experiences.

Required Skills:

• Demonstrated excellence in product design through a compelling portfolio, showcasing work on complex systems, sophisticated user flows, and data-informed experiences.

• Proven experience designing for complex and ambiguous problem spaces, with a strong preference for candidates exposed to AI-powered features, conversational interfaces, or data-rich products.

• Deep understanding of AI interface design principles, conversational design patterns, prompt engineering, and human-AI interaction frameworks applicable across diverse use cases.

• Outstanding communication and stakeholder management skills, with the ability to collaborate effectively across product, engineering, and data teams to influence product direction.

• Advanced proficiency in Figma for creating wireframes, mockups, and interactive prototypes.

• Hands-on experience using AI tools (e.g., Claude, GPT, or similar) to enhance design workflows, including accelerating research, synthesizing insights, exploring concepts, and increasing iteration speed.

Preferred Skills:

• Knowledge of front-end development fundamentals (HTML, CSS, JavaScript) and their limitations to ensure the feasibility of design solutions.

• Relevant experience designing for mobile platforms, particularly for conversational and automated experiences.

• Experience with data visualization best practices and tools.

📝 Enhancement Note: The explicit requirement for proficiency with AI tools like Claude and GPT, along with the ability to prototype AI-driven experiences, indicates a forward-leaning approach to design technology and a need for candidates who are not only skilled in traditional design but also comfortable experimenting with emerging AI capabilities.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Showcase end-to-end product design case studies that demonstrate a deep understanding of user needs, problem definition, and solution development.

• Include examples of designing complex systems, particularly those involving data visualization, analytics dashboards, or AI-driven features.

• Present work that highlights your ability to translate complex data into intuitive and actionable user experiences.

• Clearly articulate your design process, including user research methodologies, ideation techniques, prototyping, and iteration based on feedback and data.

Process Documentation:

• Provide detailed case studies that outline your approach to user research, including how you identified user pain points and validated design assumptions.

• Illustrate your workflow for translating research insights into design solutions, including wireframing, prototyping, and user testing phases.

• Explain how you collaborated with cross-functional teams (Product, Engineering, Data) throughout the design process, detailing communication strategies and problem-solving approaches.

• Document your experience with AI integration in design, explaining how you leveraged AI tools for research, ideation, or prototyping, and how you approached designing human-AI interactions.

📝 Enhancement Note: For a Senior Product Designer role focused on AI and data, the portfolio should go beyond visual design. It needs to clearly demonstrate strategic thinking, a robust understanding of user research, proficiency in AI-assisted design workflows, and the ability to articulate the impact of design decisions on user behavior and business metrics.

💵 Compensation & Benefits

Salary Range: Given the location (Barcelona, Spain), experience level (Senior), and the tech industry, a competitive salary range for a Sr. Product Designer is estimated to be between €55,000 - €80,000 annually. This estimate is based on current market data for senior design roles in major European tech hubs, considering the cost of living in Barcelona and Manychat's likely positioning as a growing tech company.

Benefits:

• Comprehensive health insurance for you and your family, ensuring well-being and security.

• A dedicated professional development budget to support continuous learning through conferences, courses, and relevant resources.

• A flexible benefits package, allowing you to tailor perks to your individual needs and priorities.

• Hybrid work model, offering a balance between in-office collaboration and remote flexibility.

• Generous leave options to promote work-life balance and personal well-being.

• In-office perks, including complimentary meals and snacks to enhance the daily work experience.

• Company-funded sports activities, annual offsites, and team-building events to foster camaraderie and engagement.

• Relocation support for you and your family, easing the transition to Barcelona.

Working Hours: Full-time, typically around 40 hours per week, with flexibility offered within the hybrid work model to accommodate individual needs and team collaboration requirements.

📝 Enhancement Note: The salary range is an estimate for Barcelona, Spain. Actual compensation will depend on the candidate's specific experience, skills, and negotiation. The benefits listed are directly from the job description and are presented to highlight the company's commitment to employee well-being and growth.

🎯 Team & Company Context

🏢 Company Culture

Industry: Software / SaaS (Marketing Automation, CRM, Analytics)

Company Size: While not explicitly stated, Greenhouse job boards often list companies that are mid-to-large size, typically ranging from 200-1000+ employees, especially those with established product teams and international hiring. Manychat is a well-established player in the marketing automation space.

Founded: Manychat was founded in 2015, indicating a company with several years of operational experience, growth, and product evolution.

Team Structure:

• The Sr. Product Designer will join the In-Product Analytics team, reporting to the Product Design Manager.

• This team likely consists of Product Managers, Engineers (Frontend/Backend), Data Scientists, and potentially UX Researchers, working collaboratively on analytics features.

Methodology:

• Data-Driven Design: A core methodology, emphasizing the use of analytics and user data to inform design decisions and measure impact.

• AI Integration: A key focus area, exploring how AI can enhance user experiences, particularly within analytics and automation.

• Agile Development: Likely employed, given the fast-moving tech environment, with iterative design, development, and feedback loops.

• User-Centric Approach: Prioritizing user needs through research and testing to ensure intuitive and effective product experiences.

Company Website: https://manychat.com/

📝 Enhancement Note: Manychat operates in the competitive SaaS space, focusing on marketing automation and customer engagement. The company culture likely values innovation, data-driven decision-making, and rapid iteration, especially within teams like In-Product Analytics that are at the forefront of product evolution with AI.

📈 Career & Growth Analysis

Operations Career Level: This role is classified as "Senior Product Designer." This level typically implies:

• Autonomy: Ability to own and drive significant product areas with minimal supervision.

• Strategic Input: Contributing to product strategy and roadmap definition, not just execution.

• Mentorship: Potential to mentor junior designers and influence design best practices.

• Complexity: Tackling more ambiguous and complex design challenges.

• Impact: Driving measurable business outcomes through design.

Reporting Structure: The Senior Product Designer will report directly to the Product Design Manager. This provides a clear line of management and support, with opportunities for regular feedback and career development discussions. Collaboration will extend horizontally to Product Managers, Engineers, and Data Scientists within the In-Product Analytics team.

Operations Impact: The role's impact is significant, directly influencing how millions of users interact with and derive value from Manychat's analytics and AI features. Success in this role will lead to improved user engagement, better data utilization by customers, and ultimately, enhanced product stickiness and business growth for Manychat. The design of these critical features directly impacts user retention and satisfaction.

Growth Opportunities:

• Leadership Development: Potential to grow into a Lead Product Designer role, managing design projects or even a small team, or specializing further in AI/data-driven design.

• Skill Specialization: Deepen expertise in AI interface design, conversational UX, prompt engineering, and advanced data visualization techniques.

• Cross-Functional Expertise: Gain deeper understanding of product management, data science, and engineering processes, becoming a more holistic product thinker.

• Impactful Projects: Lead design initiatives for high-visibility features that directly affect a large user base and contribute to Manychat's strategic goals.

📝 Enhancement Note: The "Senior" title and the focus on AI/data analytics suggest that Manychat is looking for a designer who can not only execute but also strategize and influence. Growth opportunities likely lean towards increasing scope of responsibility, specialization in cutting-edge design areas, and potentially leadership within the design function.

🌐 Work Environment

Office Type: Hybrid. This indicates a blend of remote work and in-office presence. The job description mentions "Hybrid onboarding" and "relocation support," suggesting that while remote work is possible, there's an expectation of some in-office engagement, especially during the initial onboarding phase. The company also offers "in-office perks, including free meals and snacks," reinforcing the value of the physical workspace.

Office Location(s): Barcelona, Catalonia, Spain. This provides a vibrant European hub for the candidate. The company likely has a physical office space in Barcelona where hybrid work will take place.

Workspace Context:

• Collaborative Environment: The hybrid model and emphasis on cross-functional collaboration suggest an environment that encourages teamwork, knowledge sharing, and open communication, both in person and virtually.

• Technology-Rich: As a tech company, expect access to modern design tools (Figma), AI platforms, and potentially other collaboration software necessary for seamless hybrid work.

• Innovation Focus: The role's focus on AI and data analytics implies a workspace that supports experimentation, learning, and the adoption of new technologies and methodologies.

Work Schedule: Standard full-time hours (approx. 40 hours/week) are expected, with the flexibility inherent in a hybrid work model. This allows for better work-life integration, essential for sustained creativity and productivity in design roles.

📝 Enhancement Note: The hybrid model in Barcelona positions Manychat as a forward-thinking employer that values work-life balance while maintaining the benefits of in-person collaboration. The "free meals and snacks" and "company-funded sport activities" further indicate a focus on employee well-being and community building within the office environment.

📄 Application & Portfolio Review Process

Interview Process: The interview process for a Senior Product Designer role at a company like Manychat typically involves several stages designed to assess design skills, strategic thinking, collaboration, and cultural fit:

1. Initial Screening: A brief call with a recruiter or hiring manager to assess basic qualifications, experience, and alignment with the role.

2. Portfolio Review & Design Challenge: This is a crucial stage. Candidates will likely present their portfolio, discussing their design process, problem-solving approach, and impact. A take-home design challenge or a live "whiteboarding" session may be included to assess practical design skills, problem-solving abilities, and how candidates approach specific product design scenarios relevant to analytics or AI.

3. Cross-Functional Interviews: Interviews with Product Managers, Engineers, and potentially Data Scientists to evaluate collaboration skills, technical understanding, and how candidates integrate with different disciplines.

4. Hiring Manager Interview: A final discussion with the Product Design Manager to delve deeper into career aspirations, leadership potential, and overall fit with the team and company culture.

Portfolio Review Tips:

• Curate Strategically: Select 3-5 of your strongest, most relevant case studies. Prioritize projects that showcase your experience with data-driven design, AI-enhanced features, complex systems, and end-to-end product ownership.

• Tell a Story: For each case study, clearly articulate the problem, your role, the process you followed (research, ideation, design, testing), the challenges you faced, your solutions, and the impact/outcomes. Use visuals effectively to illustrate your points.

• Highlight AI & Data: Explicitly demonstrate how you used data to inform your designs and how you approached designing for AI, including prompt engineering or conversational flows if applicable. Quantify impact wherever possible.

• Showcase Figma & Prototyping: Be prepared to walk through your Figma files or interactive prototypes, explaining your design decisions and how you used these tools to iterate and communicate.

• Address Ambiguity: For complex or ambiguous problems, explain how you navigated uncertainty and defined the problem space.

Challenge Preparation:

• Understand the Domain: Familiarize yourself with Manychat's product, their target audience, and the challenges of marketing automation, analytics, and AI integration.

• Practice Problem Solving: Be ready to tackle design problems related to data interpretation, user engagement with analytics, or conversational AI interactions. Think about user needs, business goals, and technical constraints.

• Articulate Your Process: Clearly communicate your thought process, assumptions, and rationale behind your design decisions during any live exercises.

• Prepare Questions: Have thoughtful questions ready for the interviewers about the team, the product roadmap, design challenges, and company culture.

📝 Enhancement Note: The interview process will heavily weigh the candidate's portfolio and their ability to articulate their design process, especially concerning data and AI. Candidates should be prepared for a practical assessment of their skills and their collaborative approach.

🛠 Tools & Technology Stack

Primary Tools:

• Figma: The core design tool for wireframing, UI design, prototyping, and design system management. Advanced proficiency is a must.

• AI Tools (Claude, GPT, or similar): Expected to be used for accelerating research, synthesizing insights, generating design concepts, and potentially for rapid prototyping of AI interactions.

• Prototyping Tools: Beyond Figma, experience with other prototyping tools that can simulate complex interactions or AI behaviors might be beneficial.

Analytics & Reporting:

• While not a direct responsibility, a strong understanding of how analytics platforms work and how users interact with data is crucial. Familiarity with concepts behind tools like Google Analytics, Mixpanel, or Amplitude would be advantageous.

CRM & Automation:

• Familiarity with CRM systems and marketing automation platforms (like Manychat itself) would provide valuable context for understanding user needs and business objectives within the product.

Other Potential Tools:

• User research platforms (e.g., UserTesting, Lookback)

• Collaboration tools (e.g., Slack, Jira, Confluence)

• Version control for design assets (though Figma often handles this)

📝 Enhancement Note: The explicit mention of Figma and AI tools like Claude/GPT is critical. Candidates should be ready to demonstrate their proficiency and explore innovative uses of these technologies in their design workflow. A foundational understanding of analytics and CRM concepts is also highly valued given the product domain.

👥 Team Culture & Values

Operations Values:

• Data-Driven Decision Making: A strong emphasis on using data, analytics, and user research to inform all design choices and product strategies.

• User-Centricity: A commitment to understanding and solving real user problems, ensuring that designs are intuitive, effective, and valuable.

• Collaboration & Transparency: Fostering an environment where open communication, knowledge sharing, and cross-functional teamwork are paramount.

• Innovation & Experimentation: Encouraging the exploration of new technologies, such as AI, and embracing iterative processes to improve product experiences.

• Accountability & Ownership: Empowering team members to take full responsibility for their work, from conception to launch and ongoing improvement.

Collaboration Style:

• Cross-functional Integration: The role requires seamless collaboration with Product Management, Engineering, and Data teams. This involves active participation in product strategy discussions, sprint planning, and regular check-ins.

• Feedback Culture: An environment where constructive feedback is regularly exchanged, helping to refine designs and improve outcomes.

• Knowledge Sharing: Encouraging designers to share insights, best practices, and learnings across the team and with other departments.

• Agile Approach: Working in an agile manner, with iterative design cycles and flexibility to adapt to changing priorities and learnings.

📝 Enhancement Note: The culture at Manychat, particularly within product teams focused on analytics and AI, will likely be fast-paced, iterative, and highly collaborative. Designers are expected to be proactive, data-informed, and comfortable working closely with technical and product counterparts.

⚡ Challenges & Growth Opportunities

Challenges:

• Translating Complex Data into Simplicity: A core challenge will be designing intuitive interfaces for complex datasets and analytical insights, making them accessible to a broad user base.

• Integrating AI Seamlessly: Effectively incorporating AI features into the user experience without causing confusion or overwhelming users, ensuring AI adds genuine value.

• Balancing User Needs with Technical Constraints: Navigating the complexities of AI development and data infrastructure while ensuring user-centricity and delivering feasible solutions.

• Rapidly Evolving AI Landscape: Staying current with fast-paced advancements in AI and UX patterns and determining how to best apply them to Manychat's product.

Learning & Development Opportunities:

• Specialization in AI/Data UX: Deepen expertise in designing for AI-powered products, conversational interfaces, and advanced data visualization.

• Product Strategy Influence: Gain experience in shaping product roadmaps and strategic direction through design leadership.

• Mentorship: Opportunity to mentor junior designers and contribute to the growth of the design team.

• Industry Exposure: Access to professional development budgets for conferences, courses, and resources focused on cutting-edge UX, AI, and data design.

📝 Enhancement Note: The role presents significant opportunities for professional growth by tackling complex, future-forward design challenges in AI and data analytics. The company's investment in professional development further supports continuous learning and skill enhancement.

💡 Interview Preparation

Strategy Questions:

• "Describe a time you designed a complex data visualization or analytics feature. What was the problem, your approach, and the outcome?" (Focus on process, data usage, and impact).

• "How would you approach designing a conversational interface for users to explore their marketing analytics?" (Assess understanding of conversational design and AI interaction).

Company & Culture Questions:

• "What do you know about Manychat and our product? How do you see your design skills contributing to our mission?" (Demonstrate research and alignment).

• "How do you typically collaborate with Product Managers and Engineers on a project?" (Assess cross-functional collaboration style).

Portfolio Presentation Strategy:

• Structure Your Narrative: For each case study, follow a clear arc: Problem > Your Role > Process > Solution > Impact.

• Focus on Rationale: Clearly explain why you made certain design decisions, backing them up with user research, data, or logical reasoning.

• Showcase AI/Data Expertise: Highlight specific examples of how you've incorporated AI or complex data into your designs and the outcomes achieved.

• Demonstrate Tool Proficiency: Be ready to discuss your use of Figma and any AI tools, perhaps even showing a quick walkthrough of a prototype.

• Be Prepared for Questions: Anticipate questions about your process, trade-offs, and how you handle feedback or challenging constraints.

📝 Enhancement Note: Be ready to discuss your experience with AI tools and human-AI interaction frameworks. The interview will likely assess your ability to think strategically about how AI can enhance user experience and drive business value within a SaaS product context.

📌 Application Steps

To apply for this Sr. Product Designer position:

• Submit your application through the Manychat careers portal via the provided Greenhouse link.

• Portfolio Customization: Tailor your portfolio to highlight projects demonstrating expertise in data-driven design, AI-enhanced features, and complex system design. Showcase end-to-end ownership and measurable impact.

• Resume Optimization: Ensure your resume clearly articulates your 5+ years of experience, key skills (Figma, AI tools, research, collaboration), and achievements relevant to product design, data, and AI.

• Interview Preparation: Practice articulating your design process, problem-solving approach, and experience with AI and data through case studies. Prepare thoughtful questions for the interviewers.

• Company Research: Thoroughly research Manychat's product, target market, and recent developments, particularly regarding their analytics and AI initiatives, to demonstrate genuine interest and understanding.

⚠️ 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.