Product Designer
π Job Overview
Job Title: Product Designer
Company: Applaudo Studios
Location: San Salvador, El Salvador
Job Type: Full-time (Contractor Model)
Category: Product Design / UX/UI Design
Date Posted: 2026-06-10
Experience Level: 5-10 Years
Remote Status: On-site
π Role Summary
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Lead end-to-end product design initiatives for complex, data-intensive enterprise applications, focusing on intuitive dashboards and analytical interfaces.
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Leverage advanced proficiency in Figma and established design systems to create scalable component libraries and collaborative workflows.
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Integrate AI-powered tools (e.g., ChatGPT, Cursor, GitHub Copilot) to accelerate research, ideation, prototyping, and iteration within the design process.
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Collaborate closely with Product Managers, Data Teams, Engineers, and stakeholders to translate business objectives and user needs into impactful, data-driven user experiences.
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Champion data visualization principles, information architecture, accessibility, and usability best practices to enhance user understanding and decision-making.
π Enhancement Note: This role is structured as a 6-month contractor model, indicating a project-based need for specialized product design expertise, particularly in data-intensive and AI-enhanced applications. The emphasis on AI tools suggests a forward-thinking approach to design processes and a need for candidates who are not only skilled in traditional design but also adept at leveraging emerging technologies for efficiency and innovation.
π Primary Responsibilities
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Own the complete product design lifecycle, from initial discovery and ideation through to delivery and post-launch validation.
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Craft intuitive, scalable, and accessible user experiences for intricate, data-rich products that empower users to make informed decisions.
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Design and develop sophisticated dashboards, comprehensive reports, and analytical interfaces that effectively visualize complex datasets.
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Translate intricate business data and insights into clear visual narratives and streamlined, actionable workflows for end-users.
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Foster close collaboration with Product Managers, Engineering teams, and Data Analysts/Scientists to align product strategies and deliver exceptional user experiences.
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Actively participate in product discovery sessions, design workshops, roadmap planning, and cross-functional team meetings.
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Proactively utilize AI-powered design tools to enhance design exploration, rapid prototyping, documentation generation, and implementation phases.
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Contribute to the development and refinement of AI-enabled design practices and workflows within the broader design organization.
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Validate design decisions rigorously through user feedback, analytics data, A/B testing, and iterative testing cycles.
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Maintain design consistency, scalability, and high-quality execution across all products by adhering to and evolving design systems and best practices.
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Stay abreast of the latest design methodologies, emerging data visualization trends, and advancements in AI-assisted product development.
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Engage in design critiques, knowledge-sharing sessions, and collaborative initiatives to elevate the overall capabilities of the design team.
π Enhancement Note: The responsibilities highlight a deep engagement with data-intensive product design, requiring the ability to transform complex information into user-friendly interfaces. The explicit mention of AI tool integration points to a need for candidates who can innovate and optimize the design process using cutting-edge technology, aligning with Applaudo's "AI-native" identity.
π Skills & Qualifications
Education: Bachelorβs Degree in Product Design, UX/UI Design, Human-Computer Interaction, Graphic Design, Interaction Design, Service Design, or equivalent professional experience.
Experience: 5+ years of dedicated experience in designing digital products, with a significant focus on enterprise applications, dashboards, reporting platforms, and analytical tools.
Required Skills:
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Advanced proficiency in Figma, including expertise in building and managing design systems, creating scalable component libraries, and facilitating collaborative workflows.
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Proven experience designing for data-intensive experiences, such as dashboards, reporting platforms, and analytical tools.
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Strong understanding of data visualization principles, information architecture, accessibility standards (WCAG), and usability best practices.
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Demonstrated ability to translate complex business data and user insights into effective design solutions.
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Experience in product discovery, user research methodologies, ideation, validation, and iterative product development cycles.
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Hands-on experience leveraging AI-assisted design tools such as ChatGPT, Cursor, GitHub Copilot, v0, or similar technologies within a professional design process.
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Keen curiosity and a proactive, self-driven approach to experimenting with and adopting emerging AI tools and workflows.
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Excellent communication and presentation skills, with the ability to clearly articulate design rationale, present findings, and influence stakeholders.
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Proven ability to manage multiple project priorities effectively while maintaining meticulous attention to detail and high-quality output.
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English proficiency at a C1 level or higher, essential for effective communication within the international team. Preferred Skills:
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Experience with service design principles and user journey mapping.
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Familiarity with prototyping tools beyond Figma for advanced interaction design.
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Experience working in an Agile/Scrum development environment.
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Understanding of front-end development principles (HTML, CSS, JavaScript) to better collaborate with engineers.
π Enhancement Note: The emphasis on a C1 English proficiency level is critical for this role, given the international nature of Applaudo Studios and the collaborative demands of the position. The requirement for AI tool integration is a key differentiator, suggesting that candidates who can demonstrate practical application of these tools in their portfolio will be highly competitive.
π Process & Systems Portfolio Requirements
Portfolio Essentials:
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Showcase end-to-end design projects demonstrating ownership from discovery through delivery, with a clear focus on data-intensive applications.
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Feature case studies that highlight the transformation of complex data into intuitive dashboards, reports, or analytical interfaces.
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Include examples of scalable component libraries and design system contributions within Figma.
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Provide clear documentation of the design process, including user research, ideation, prototyping, and validation phases.
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Demonstrate the application of AI tools within the design workflow, explaining the specific tools used and the impact on efficiency or quality.
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Illustrate how accessibility and usability best practices were integrated into the design solutions. Process Documentation:
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Detail the methodology used for product discovery, user research, and requirements gathering.
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Explain the approach to information architecture and data visualization design for complex datasets.
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Document the iterative design and testing process, including how user feedback and data informed design iterations.
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Outline the collaboration process with Product Managers, Engineers, and Data Teams, including how design decisions were aligned and validated.
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Describe how design systems and component libraries were utilized to ensure consistency and scalability.
π Enhancement Note: For this role, a portfolio that explicitly details the application and impact of AI tools within the design process will be highly advantageous. Candidates should be prepared to walk through specific examples of how AI accelerated their workflow, improved design outcomes, or enabled novel solutions for data representation.
π΅ Compensation & Benefits
Salary Range: As this is a contractor position in El Salvador, the salary will be competitive and commensurate with experience and the 6-month contract duration. Based on industry benchmarks for experienced Product Designers in San Salvador with C1 English proficiency and specialized skills in Figma and AI-assisted design, a range of $2,500 - $4,500 USD per month is estimated.
Benefits:
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Opportunity to work on cutting-edge, AI-native solutions with a forward-thinking company.
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Engage with a high-performance culture focused on growth and collaboration.
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Gain experience in a 6-month contractor model, offering project-based engagement.
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Potential for professional development through exposure to advanced design and AI technologies.
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Work with a global team of talented professionals.
Working Hours: Standard full-time working hours are expected, likely around 40 hours per week, with flexibility potentially offered based on project needs and team coordination, aligning with the typical 6-month contractor model engagement.
π Enhancement Note: The salary estimate is based on research for experienced Product Designer roles in San Salvador, El Salvador, factoring in the C1 English requirement and the specialized skills in Figma and AI. Contractor rates often differ from full-time employee salaries and can vary significantly based on the specific contract terms and the perceived value of specialized skills like AI integration in the design process. This range aims to reflect competitive compensation for a skilled professional in this market for a fixed-term engagement.
π― Team & Company Context
π’ Company Culture
Industry: Technology / Software Development / Artificial Intelligence. Applaudo Studios positions itself as an "AI-native organization" focused on designing, building, and scaling AI-powered solutions that deliver significant business impact. This industry context means a constant drive for innovation, data-driven decision-making, and leveraging technology to solve complex problems.
Company Size: While not explicitly stated in the provided data, Applaudo Studios is described as a place for people who want to "work alongside strong teams." Their focus on "AI-native transformation at scale" suggests a company that is likely mid-to-large in size, with established departments and a structured approach to project delivery. The contractor model for this role indicates they manage project-specific needs effectively.
Founded: Applaudo Studios emphasizes being "engineered different" and an "AI-native organization." While the founding date isn't provided, their focus on modern ways of working and AI transformation suggests a relatively contemporary establishment or a significant pivot towards AI-centric solutions.
Team Structure:
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The Product Design team likely operates as a specialized unit within the broader engineering and product development organization.
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Designers will collaborate closely with Product Managers, Data Analysts, Data Scientists, and Software Engineers, indicating a matrixed or cross-functional team structure for project delivery.
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Reporting likely follows a project-based hierarchy, with designers reporting to a Design Lead or Head of Product Design for functional guidance, and to Project Managers for specific project tasks. Methodology:
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Data-Driven Design: Emphasizing the use of data, analytics, and user research to inform design decisions and validate solutions.
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AI-Powered Workflows: Actively integrating AI tools to enhance efficiency, creativity, and output quality throughout the design and development lifecycle.
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Agile and Iterative Development: Likely employing agile methodologies for rapid development, continuous feedback loops, and iterative improvements based on user input and performance metrics.
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Collaborative Environments: Fostering strong partnerships across departments to ensure alignment and cohesive product development.
Company Website: https://www.applaudo.com/
π Enhancement Note: Applaudo's identity as an "AI-native organization" is a critical cultural signifier. This suggests a company that is not just adopting AI but is fundamentally built around it. Candidates should expect a culture that values innovation, continuous learning, and a proactive approach to integrating advanced technologies into all aspects of their work, including design.
π Career & Growth Analysis
Operations Career Level: This role is positioned at a mid-to-senior level within Product Design, requiring 5+ years of experience. The accountability for "end-to-end product design initiatives" and the need to "own" design responsibilities indicate a significant level of autonomy and strategic input. The role is not just about execution but also about shaping product direction and design strategy for data-intensive applications.
Reporting Structure: While specific reporting lines are not detailed, the role necessitates close collaboration with Product Managers, Engineers, and Data Teams. The designer will likely report to a Design Lead or Manager for career development and functional expertise, while working closely with Product Managers on project-specific goals and deliverables. The contractor model may mean a more direct reporting line to a Project Manager or Team Lead for the duration of the contract.
Operations Impact: The Product Designer's impact is directly tied to enhancing user understanding of complex data, enabling better decision-making, and ultimately driving business value through improved product usability and effectiveness. By transforming complex information into intuitive experiences, this role directly influences user adoption, efficiency, and the achievement of business outcomes, particularly in data-intensive and AI-driven contexts.
Growth Opportunities:
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Specialization in AI-Assisted Design: Deepen expertise in leveraging AI tools for accelerated design workflows, advanced prototyping, and innovative data visualization techniques.
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Data-Intensive Product Design Expertise: Develop a strong portfolio and reputation in designing for complex analytical platforms, dashboards, and enterprise applications, a highly sought-after skill set.
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Cross-Functional Leadership: Gain experience leading design initiatives within cross-functional, agile teams, fostering collaboration and influencing product strategy.
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Contract-to-Hire Potential: While a 6-month contract, strong performance and cultural fit could lead to opportunities for longer-term engagements or full-time positions within Applaudo Studios, especially given their growth in AI-native solutions.
π Enhancement Note: The contractor model, while potentially limited in duration, offers a focused opportunity to build a strong portfolio in a niche but growing area (AI-assisted design for data-intensive products). Demonstrating high impact and adaptability during this period could open doors to further opportunities within Applaudo or for similar roles elsewhere.
π Work Environment
Office Type: The role is specified as "On-site" in San Salvador. This suggests a physical office environment where collaboration and in-person interaction are prioritized. Applaudo's emphasis on "high-performance culture grounded in five values" likely translates to a dynamic and professional office setting.
Office Location(s): San Salvador, El Salvador. Specific details about the office facilities, such as amenities or accessibility, are not provided but would typically be standard for a modern tech company office.
Workspace Context:
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Collaborative Spaces: Expect an environment designed for teamwork, with meeting rooms, breakout areas, and open-plan workspaces that facilitate interaction with Product Managers, Engineers, and fellow designers.
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Technology Access: The company, being AI-native, will likely provide access to modern hardware and software essential for design work, including high-performance workstations and relevant licensed software.
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Team Interaction: Opportunities for regular face-to-face interaction with design peers and cross-functional teams, fostering a sense of community and shared purpose.
Work Schedule: The standard 40-hour work week associated with full-time employment is expected. While the role is on-site, there might be some degree of flexibility in daily start/end times, depending on team agreements and project deadlines, though the emphasis on on-site collaboration suggests a need for consistent presence during core working hours.
π Enhancement Note: The "On-site" requirement in San Salvador is a key detail for candidates. It implies a need for local candidates or those willing to relocate, and suggests that Applaudo Studios values face-to-face collaboration for its product development processes.
π Application & Portfolio Review Process
Interview Process:
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Initial Screening: A review of your resume and portfolio to assess experience, skills, and alignment with the role's requirements, particularly Figma proficiency and AI tool usage.
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Hiring Manager/Team Interview: A discussion focused on your background, design philosophy, experience with data-intensive products, and understanding of AI in design. This may include behavioral questions.
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Portfolio Presentation & Design Challenge: A session where you present key case studies from your portfolio, focusing on your process, decision-making, and impact. You may also be given a design challenge relevant to data visualization or dashboard design, potentially incorporating AI elements.
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Cross-functional Stakeholder Interview: Meeting with Product Managers, Engineers, or Data Analysts to assess collaboration skills, communication effectiveness, and ability to work within a cross-functional team.
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Final Interview/Offer: A concluding discussion, potentially with senior leadership, to finalize cultural fit and extend an offer.
Portfolio Review Tips:
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Highlight AI Integration: Explicitly showcase projects where you utilized AI tools. Detail how you used them (e.g., for research synthesis, ideation, rapid prototyping, asset generation) and the tangible benefits (e.g., time saved, novel ideas generated, improved quality).
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Data-Centric Case Studies: Select projects that demonstrate your ability to design for complex data. Focus on the problem, your design process, the data challenges, your visualization solutions, and the measurable impact.
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Figma Proficiency: Be prepared to discuss your approach to design systems, component libraries, and collaborative workflows within Figma. Show examples of well-structured Figma files.
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Problem-Solving Narrative: Structure your case studies as a story: the problem, your approach, the challenges faced (including technical or data constraints), your solutions, and the outcomes. Quantify results whenever possible.
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Clarity and Conciseness: Ensure your portfolio is easy to navigate and your explanations are clear and to the point. Tailor your presentation to the specific requirements of this role, emphasizing data, AI, and enterprise applications.
Challenge Preparation:
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Data Visualization Fundamentals: Refresh your knowledge of common chart types, their appropriate use cases, and principles for effective data storytelling.
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AI Tool Familiarity: Be ready to discuss your experience with specific AI design tools and how you might apply them to a given challenge.
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Design Process Articulation: Practice explaining your design process clearly and concisely, emphasizing user-centered approaches and data-informed decisions.
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Collaboration Scenarios: Prepare to discuss how you would collaborate with Product Managers and Engineers on a data-heavy design task.
π Enhancement Note: The portfolio review will be critical. Candidates should prioritize showcasing projects that demonstrate their ability to handle complex data visualization and their innovative use of AI in the design process. Be ready to discuss the "why" behind your design choices and the quantifiable impact of your work.
π Tools & Technology Stack
Primary Tools:
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Figma: The core design tool, requiring advanced proficiency for design systems, component libraries, prototyping, and collaborative workflows.
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AI-Assisted Design Tools: Explicitly mentioned are ChatGPT, Cursor, GitHub Copilot, and v0. Proficiency or demonstrated willingness to learn and integrate these into the workflow is essential. Examples include generative AI for ideation, code generation assistance for prototypes, or AI for content creation within designs.
Analytics & Reporting:
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While not explicitly listed as a requirement for the designer, an understanding of how data is collected and presented in analytics and reporting platforms is crucial for designing effective dashboards and interfaces. Familiarity with tools like Google Analytics, Tableau, Power BI, or similar would be beneficial for context. CRM & Automation:
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Not directly specified for this role, but experience with enterprise applications often involves understanding how design impacts user interaction within CRMs or other business process automation tools.
π Enhancement Note: The explicit mention of specific AI tools like ChatGPT, Cursor, GitHub Copilot, and v0 indicates that Applaudo Studios is actively integrating these into their development and design processes. Candidates who can demonstrate practical experience with these or similar tools will have a significant advantage.
π₯ Team Culture & Values
Operations Values: Applaudo Studios operates under five core values:
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Empowering Excellence: Striving for high quality and continuous improvement in all aspects of work, particularly in the design and development of AI-powered solutions.
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Collaborative Teamwork: Fostering strong partnerships across design, development, cloud, data, and AI teams to achieve shared goals and deliver impactful products.
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Unsolicited Respect: Maintaining a professional and respectful environment for all team members, encouraging open communication and mutual understanding.
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Consistent Transparency: Operating with openness and honesty in communication, decision-making, and project updates, building trust among team members and stakeholders.
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Efficient Communication: Prioritizing clear, concise, and effective communication to ensure alignment, streamline workflows, and drive project success.
Collaboration Style:
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Cross-Functional Integration: Designers are expected to work seamlessly with Product Managers, Engineers, and Data Teams, actively participating in discussions and contributing design perspectives to shape product strategy.
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Data-Informed Collaboration: A strong emphasis on using data, user research, and analytics to guide design decisions and collaborate with data professionals.
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Agile and Iterative: The team likely embraces an agile approach, involving frequent check-ins, feedback loops, and iterative design adjustments to adapt to evolving project requirements and user insights.
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AI-Centric Approach: Collaboration will likely involve discussions around leveraging AI tools, sharing best practices, and exploring new possibilities enabled by AI in design and development.
π Enhancement Note: The five values provide a clear framework for how Applaudo Studios expects its employees to work. Candidates should consider how their own work style and collaborative preferences align with these values, especially "Empowering Excellence" and "Collaborative Teamwork," given the technical and project-driven nature of the company.
β‘ Challenges & Growth Opportunities
Challenges:
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Designing for Complexity: Effectively translating highly complex data sets and intricate business logic into intuitive and user-friendly interfaces for enterprise applications.
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Integrating AI Seamlessly: Ensuring AI tools are used effectively to enhance, rather than complicate, the design process and the final product experience. This requires continuous learning and experimentation.
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Balancing Stakeholder Needs: Navigating diverse requirements from Product Managers, Engineers, Data Scientists, and business stakeholders to deliver a cohesive and effective design solution.
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Remote vs. On-site Dynamics: For candidates not local, adapting to the on-site work requirement and integrating into the local team culture. (Note: This role is on-site, so the challenge is for local candidates to adapt to the specific office environment and team dynamics).
Learning & Development Opportunities:
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Mastery of AI-Assisted Design: Becoming an expert in applying AI tools for design, which is a rapidly evolving and high-demand skill set.
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Deep Dive into Data Visualization: Enhancing expertise in designing for analytical platforms and complex data reporting, a critical area for many businesses.
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Exposure to AI-Native Product Development: Gaining firsthand experience in an organization built around AI, understanding its impact on product strategy and execution.
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Cross-Disciplinary Collaboration: Developing stronger skills in working with data scientists and engineers, understanding their perspectives and contributing effectively to technical discussions.
π Enhancement Note: The primary growth opportunity lies in becoming a leader in the emerging field of AI-assisted product design for data-intensive applications. This role provides a platform to hone skills in a cutting-edge area that is increasingly vital for businesses.
π‘ Interview Preparation
Strategy Questions:
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"Describe a complex data visualization project you led. What were the key challenges, how did you use design to simplify the data, and what was the measurable impact?" (Focus on process, data complexity, and ROI).
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"How have you integrated AI tools like ChatGPT or Cursor into your design workflow? Provide a specific example of how it improved your process or outcome." (Highlighting AI application and benefits).
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"Walk us through your process for designing a dashboard for enterprise users. How do you ensure scalability, usability, and data integrity?" (Demonstrating structured thinking and best practices).
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"How do you collaborate with Product Managers and Engineers to ensure design feasibility and alignment with business goals?" (Assessing teamwork and communication). Company & Culture Questions:
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"What interests you about Applaudo Studios' 'AI-native' approach?" (Show enthusiasm for their core identity).
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"How do you embody our values of Empowering Excellence, Collaborative Teamwork, Unsolicited Respect, Consistent Transparency, and Efficient Communication in your work?" (Prepare specific examples for each value).
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"What do you see as the biggest challenge in designing for data-intensive applications in today's market?" (Demonstrating industry awareness). Portfolio Presentation Strategy:
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Structure Your Narrative: For each case study, clearly outline the problem, your role, your process (research, ideation, design, testing), the solutions you implemented, and the outcomes/impact.
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Emphasize AI Integration: Dedicate specific slides or sections to showcase how you used AI tools. Explain the tool, the task, and the resulting efficiency or innovation.
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Quantify Impact: Use metrics wherever possible (e.g., improved user task completion time, increased data comprehension, adoption rates) to demonstrate the value of your design work.
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Figma Expertise: Be ready to demonstrate your Figma skills, perhaps by showing a complex component or a well-structured design system.
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Be Prepared for Q&A: Anticipate questions about your design decisions, trade-offs you made, and how you handle feedback.
π Enhancement Note: Candidates should prepare to articulate not just what they designed, but how and why, with a strong emphasis on data, AI integration, and measurable results. Being able to connect their experience to Applaudo's values and AI-native focus will be key.
π Application Steps
To apply for this Product Designer position:
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Submit your application through the provided link on jobs.smartrecruiters.com.
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Tailor your resume: Highlight experience with Figma, design systems, data visualization, AI tools, and enterprise application design, using keywords from the job description.
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Curate your portfolio: Select 2-3 strong case studies that best represent your skills in data-intensive design and AI integration. Ensure each case study clearly outlines the problem, your process, your solutions, and the impact.
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Prepare your portfolio presentation: Practice walking through your selected case studies, focusing on your design process, decision-making, and the specific role of AI in your work. Be ready to discuss your proficiency with Figma and design systems.
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Research Applaudo Studios: Understand their "AI-native" identity, their core values, and their mission to design, build, and scale impactful AI-powered solutions. This will help you tailor your responses and demonstrate cultural fit.
β οΈ Important Notice: This enhanced job description includes AI-generated insights and industry-standard assumptions relevant to Product Design and Operations roles. All details, especially regarding compensation and specific interview processes, should be verified directly with Applaudo Studios during the application and interview stages.
Application Requirements
Requires 5+ years of experience in product design for enterprise applications and advanced proficiency in Figma and design systems. Candidates must have a strong background in data visualization and experience integrating AI tools into their design workflow.