Senior Product Designer

📍 Job Overview

Job Title: Senior Product Designer Company: Blend360 Location: Montevideo, Montevideo Department, Uruguay Job Type: Full-time Category: Product Design / UX/UI Date Posted: 2025-10-31 Experience Level: 5-10 Years Remote Status: Remote OK

🚀 Role Summary

• Lead end-to-end product design for an internal AI-driven B2B application within the financial services and wealth management sectors.
• Translate complex trade and reconciliation data into intuitive visual workflows and user interfaces, leveraging AI insights.
• Drive product strategy and execution through the application of design thinking, user research, and iterative design processes.
• Define and implement robust UI patterns and design systems for internal applications, ensuring clarity, efficiency, and scalability.
• Collaborate closely with cross-functional teams, executive stakeholders, and clients to articulate design decisions and gather feedback.

📝 Enhancement Note: The role emphasizes a blend of strategic design leadership and hands-on execution, focusing on complex data-rich applications in a regulated industry. The "Senior" title implies a need for autonomy, mentorship potential, and the ability to influence product direction.

📈 Primary Responsibilities

• Spearhead the complete product design lifecycle, from initial discovery and ideation through to delivery and ongoing iteration for multiple product pods.
• Transform intricate trade and reconciliation data into user-friendly visual workflows and interactive interfaces that simplify complex financial operations.
• Employ design thinking methodologies to deeply understand user pain points, identify opportunities for innovation, and drive adoption and engagement within the application.
• Establish and meticulously maintain a comprehensive design system, defining reusable UI patterns that balance aesthetic appeal with functional clarity and operational efficiency.
• Design and explore innovative AI-assisted user experiences, potentially leveraging Large Language Models (LLMs) for enhanced data matching, insights generation, and user interaction.
• Manage and organize design assets within Figma, ensuring consistency, version control, and adherence to established design system guidelines.
• Conduct thorough UX Quality Assurance (QA) to identify and rectify usability issues, ensuring a seamless and high-quality user experience across all touchpoints.
• Lead client-facing design meetings, effectively articulating design rationale, presenting user flows, and proactively gathering feedback to inform design iterations and strategic direction.
• Communicate design strategies and decisions clearly and persuasively to executive stakeholders, effectively translating technical design concepts into demonstrable business value.

📝 Enhancement Note: Responsibilities highlight a senior-level expectation for leading design initiatives, managing complex data visualization, and integrating AI capabilities. The emphasis on client and executive communication underscores the strategic impact of the role.

🎓 Skills & Qualifications

Education: While not explicitly stated, a Bachelor's or Master's degree in Design, HCI, Computer Science, or a related field is typically expected for senior-level roles, though equivalent practical experience is often prioritized.

Experience:

• 5-8 years of progressive professional experience in product design, with a proven track record of designing complex, data-driven interfaces.
• Demonstrated experience in building, maintaining, or significantly contributing to design systems within an enterprise or product development context.
• Experience designing for internal or enterprise-level applications, understanding the unique challenges and requirements of B2B software.

Required Skills:

• Product Design Leadership: Ability to lead end-to-end design processes for complex applications, from discovery to delivery.
• UI/UX Expertise: Deep understanding of user-centered design principles, interaction design, information architecture, and user flows.
• Design Thinking & Problem Solving: Proven ability to apply design thinking methodologies to solve complex user and business problems.
• Figma Proficiency: Advanced skills in Figma for wireframing, prototyping, UI design, and component management.
• Design Systems Management: Experience in creating, maintaining, and advocating for design systems to ensure consistency and efficiency.
• Data Visualization & Complex Data Handling: Ability to translate complex datasets (e.g., trade data, reconciliation information) into clear, intuitive visual representations and workflows.
• User Experience (UX) Principles: Solid grasp of UX best practices, including usability, accessibility (WCAG standards), and user research techniques.
• Communication & Presentation: Excellent verbal and written communication skills, with the ability to articulate design rationale, present complex ideas clearly to diverse audiences (technical teams, stakeholders, clients), and facilitate design discussions.
• Cross-Functional Collaboration: Proven ability to work effectively with product managers, engineers, data scientists, and other stakeholders.
• Autonomy & Project Management: Demonstrated ability to work independently, manage multiple projects simultaneously, prioritize tasks, and adapt to evolving project requirements and timelines.

Preferred Skills:

• AI/ML Design Experience: Exposure to AI/ML concepts and practical experience in designing AI-assisted features or interfaces, particularly leveraging LLMs.
• Financial Services/Wealth Management Domain: Familiarity with the intricacies of financial services, wealth management, or regulatory environments.
• UX QA: Experience in conducting thorough UX Quality Assurance to ensure product quality and adherence to design specifications.
• Client Engagement: Experience leading client meetings and managing design expectations in a client-facing capacity.

📝 Enhancement Note: The qualifications emphasize a strong foundation in core UX/UI principles, significant experience with Figma and design systems, and the ability to handle complex data. The preferred skills highlight the advantage of domain-specific knowledge and AI design experience, crucial for this particular role.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Showcase a minimum of 3-5 complex projects that demonstrate end-to-end product design responsibility, ideally involving data-rich applications or B2B enterprise solutions.
• Clearly articulate your role and specific contributions within each project, highlighting your design process, problem-solving approach, and decision-making rationale.
• Provide detailed case studies that include wireframes, user flows, high-fidelity mockups, and interactive prototypes, showcasing your UI design capabilities.
• Demonstrate proficiency in translating complex requirements and data into intuitive user interfaces and workflows.
• Include examples of how you've applied design thinking, user research, and iterative feedback loops to refine designs.

Process Documentation:

• Present case studies that detail your approach to user research, including methods used (e.g., interviews, surveys, usability testing) and how insights informed design decisions.
• Illustrate your process for defining and applying UI patterns, including how you contributed to or maintained a design system to ensure consistency and scalability.
• Document your involvement in cross-functional collaboration, showing how you worked with engineering, product management, and other teams to bring designs to life.
• For AI-related projects, explain your process for understanding AI capabilities and translating them into practical, user-centric design solutions.
• If applicable, include examples of UX QA processes you've implemented to ensure high-quality product delivery.

📝 Enhancement Note: The portfolio is critical for this role. It must showcase not just aesthetic design skills but a deep understanding of process, problem-solving for complex data, and the ability to work within enterprise environments. Demonstrating experience with AI concepts and design systems will be highly advantageous.

💵 Compensation & Benefits

Salary Range: Given the Senior Product Designer title, 5-8 years of experience, and location in Montevideo, Uruguay, a competitive salary range can be estimated. Based on industry benchmarks for senior design roles in technology services companies and considering the cost of living in Montevideo, the estimated annual salary range would be approximately USD $45,000 - $75,000. This estimate is based on data from salary aggregators for similar roles in Latin America and general economic indicators for the region.

Benefits:

• Learning Opportunities: Access to certifications (AWS, Databricks, Snowflake), AI learning paths, tailored study plans, courses, additional certifications, and Udemy Business subscriptions.
• Mentoring and Development: Career development plans and mentorship programs designed to foster professional growth.
• Support & Celebrations: Rewards for birthdays and work anniversaries, company-provided equipment.
• Flexible Working Options: Options to help achieve a healthy work-life balance.
• English Lessons: Support for professional communication development.
• Potential Location-Specific Benefits: Other benefits may apply based on the specific LATAM location; details to be confirmed with recruiters.

Working Hours: The standard working hours are likely to be 40 hours per week, which is typical for full-time roles. The mention of "Flexible working options" suggests potential for some flexibility in scheduling, though core collaboration hours will likely be expected.

📝 Enhancement Note: The salary range is an estimation based on general market data for senior design roles in LATAM tech companies. Actual compensation will depend on the candidate's specific experience, skill set, and negotiation. The benefits package is robust, with a strong emphasis on continuous learning and professional development, which is highly attractive for senior operations and design professionals.

🎯 Team & Company Context

🏢 Company Culture

Industry: Blend360 operates as a premier AI services provider, specializing in data science, AI, technology, and human expertise. Their focus is on co-creating impact for clients in various sectors, including financial services, wealth management, and technology. This suggests a culture that values innovation, data-driven solutions, and client partnership.

Company Size: Blend360's size is not explicitly stated but is implied to be a growing organization with a global presence, indicated by their LATAM operations and partnership with AWS. Their structure likely involves distributed teams. For operations professionals, a growing company often means opportunities for broader impact and involvement in process development, but also a need for adaptability.

Founded: The company was founded with a mission to "fuel bold visions" and tackle significant challenges through the alignment of human expertise and artificial intelligence. This foundational principle points to a forward-thinking and ambitious company culture.

Team Structure:

• The design team likely operates within or alongside dedicated product pods, each potentially focused on different stages of product development or specific product areas.
• Given the "Senior" title, this role will likely contribute to or lead design efforts within these pods, collaborating closely with Product Managers, Engineers, and Data Scientists.
• The reporting structure may involve a Design Lead or Head of Design, with direct collaboration across multiple product teams and client stakeholders.
• Cross-functional collaboration is a key aspect, requiring seamless integration with technical and business teams to ensure design solutions align with technical feasibility and business objectives.

Methodology:

• Data Analysis & Insights: The company's core business revolves around data science and AI, implying a strong emphasis on data-driven decision-making, analytics, and leveraging insights to inform strategy and product development.
• Workflow Planning & Optimization: As an AI services provider, Blend360 likely employs agile methodologies and focuses on optimizing workflows for both internal processes and client solutions. Design plays a crucial role in streamlining complex operational workflows.
• Automation & Efficiency: A core tenet of AI and technology services is driving efficiency through automation. The design role will contribute to building tools that automate processes and enhance operational efficiency for clients and internal teams.

Company Website: www.blend360.com

📝 Enhancement Note: Blend360 positions itself as a modern, data-centric technology services firm. The culture likely values innovation, collaboration, and a results-oriented approach. For a Senior Product Designer, this means being comfortable with ambiguity, driving initiatives, and working with cutting-edge technology like AI.

📈 Career & Growth Analysis

Operations Career Level: This role is positioned as a Senior Product Designer. This indicates a level of experience where individuals are expected to operate with a high degree of autonomy, lead significant design initiatives, mentor junior designers, and influence product strategy and design direction within their domain. They are key contributors to the product development lifecycle, not just executors of tasks.

Reporting Structure: The Senior Product Designer will likely report to a Design Lead, Head of Design, or potentially a Product Lead, depending on the specific structure of the product pods. They will work closely with Product Managers and Engineering Leads within their assigned product pods, and interact directly with clients and executive stakeholders. This structure offers exposure to leadership and strategic decision-making.

Operations Impact: The Senior Product Designer's impact is critical in shaping the user experience of an internal AI-driven B2B application. By translating complex financial data and AI insights into intuitive interfaces, they directly influence:

• User Adoption & Efficiency: Making the application easy to use and understand will drive adoption and improve the productivity of internal users.
• Data Utilization: Effective design ensures users can leverage the AI-generated insights and complex data to make better business decisions.
• Product Strategy: Design leadership can identify new opportunities and drive the evolution of the product based on user needs and market trends.
• Client Value: For a services company, the quality of internal tools and client-facing applications directly reflects the company's capability and commitment to innovation.

Growth Opportunities:

• Design Leadership: Potential to grow into a Lead Designer or Design Manager role, overseeing a team or a specific product area, and shaping design strategy.
• Specialization: Deepen expertise in designing for AI-driven products, financial services, or complex data visualization.
• Product Strategy Influence: Become a key voice in product roadmap discussions and strategic planning, leveraging design insights to guide product direction.
• Mentorship: Opportunity to mentor junior designers, fostering their growth and developing leadership skills.
• Client Engagement & Consulting Skills: Enhance skills in client management, presentation, and translating business needs into design solutions, which can lead to client-facing or consulting roles.

📝 Enhancement Note: This Senior Designer role offers a clear path for growth into leadership and strategic product roles. The emphasis on AI and financial services provides opportunities for specialization. The impact goes beyond UI aesthetics to directly influence business outcomes and client value.

🌐 Work Environment

Office Type: While the job is listed as Remote OK, Blend360 is an AI services provider. Their general approach to work might involve a hybrid model or remote-first with opportunities for occasional in-person collaboration or client meetings if needed. The company emphasizes flexible working options.

Office Location(s): The primary listed location is Montevideo, Uruguay. However, as a global AI services provider with LATAM operations, they may have other operational hubs or remote employees across various regions. For this role, the focus is on remote work flexibility within the LATAM region or potentially globally, depending on team needs and legal requirements.

Workspace Context:

• Collaborative Environment: The role necessitates close collaboration with product managers, engineers, data scientists, and clients. This implies a team environment that values open communication and shared problem-solving, even in a remote setting.
• Operations Tools & Technology: Expect access to standard design tools like Figma, potentially collaboration platforms (Slack, Teams), project management software (Jira, Asana), and internal communication tools. Proficiency in these is key.
• Operations Team Interaction: Regular virtual meetings, design critiques, brainstorming sessions, and stakeholder presentations will be part of the daily interaction. The ability to engage effectively in a remote setting is crucial.

Work Schedule: The standard working hours are likely 40 hours per week. "Flexible working options" suggest that while core hours for collaboration will be expected, there may be flexibility in start/end times or the ability to structure the workday around peak productivity periods, accommodating different time zones if working with globally distributed teams.

📝 Enhancement Note: The remote-first nature of the role requires strong self-discipline and communication skills. The emphasis on flexibility and collaboration suggests a modern work environment designed to support productivity and employee well-being.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A recruiter or hiring manager will likely conduct an initial call to assess basic qualifications, experience, and cultural fit.
• Portfolio Review & Design Challenge: This is a critical stage. You will be asked to present your portfolio, walking through key case studies. A design challenge (take-home or live exercise) focused on a complex data problem or UI/UX scenario may be given to assess your design thinking, problem-solving skills, and approach to a specific challenge.
• Team Interviews: Interviews with cross-functional team members (Product Managers, Engineers, potentially other Designers) to evaluate collaboration skills, technical understanding, and how you approach problem-solving within a team.
• Stakeholder/Leadership Interview: A final interview with senior leadership or a key stakeholder to discuss strategic thinking, leadership potential, and alignment with company values and vision.

Portfolio Review Tips:

• Curate Strategically: Select 3-5 projects that best showcase your ability to handle complex data, design for enterprise/B2B applications, and demonstrate end-to-end design ownership. Highlight projects involving AI or financial domains if possible.
• Tell a Story: Structure each case study as a narrative: the problem, your approach, your process (research, ideation, design), your specific contributions, the challenges faced, and the outcomes achieved (quantified if possible).
• Show Your Process: Don't just show final mockups. Include wireframes, user flows, sketches, research findings, and iterations to demonstrate your thought process and problem-solving methodology.
• Highlight Data & AI: Clearly explain how you approached designing for complex data sets and any AI/ML components. Detail how you translated technical capabilities into user-centric features.
• Quantify Impact: Whenever possible, use metrics to demonstrate the success of your designs (e.g., increased user engagement, reduced task completion time, improved conversion rates).
• Figma & Design Systems: Be prepared to discuss your experience with Figma in detail and showcase examples of your work on design systems, components, and pattern libraries.

Challenge Preparation:

• Understand the Context: If given a take-home challenge, thoroughly understand the problem statement, target users, and business goals.
• Focus on Process: For design challenges, the process is often more important than the final solution. Document your steps: problem definition, user research assumptions, ideation, wireframing, UI design, and rationale for your decisions.
• Communicate Clearly: Articulate your thought process, design decisions, and trade-offs. Explain why you made certain choices.
• Consider Constraints: Be mindful of potential technical or business constraints, and discuss how your design addresses them.
• Practice Presentation: Rehearse presenting your portfolio and any design challenge solution, ensuring you can clearly articulate your design journey and impact within the allotted time.

📝 Enhancement Note: The interview process heavily emphasizes portfolio presentation and practical design problem-solving. Candidates should prepare to articulate their process for complex data and AI-driven design, as well as demonstrate their ability to collaborate and communicate effectively with diverse stakeholders.

🛠 Tools & Technology Stack

Primary Tools:

• Figma: The core design tool for wireframing, prototyping, UI design, and collaborative design. Advanced proficiency is essential for managing design systems and complex interfaces.
• Prototyping Tools: While Figma offers robust prototyping, experience with other tools like InVision, Principle, or Axure might be beneficial for more complex interactions or specific project needs.
• Design System Management Tools: Familiarity with tools and methodologies for building and maintaining scalable design systems.

Analytics & Reporting:

• User Analytics Platforms: Experience with tools like Google Analytics, Mixpanel, Amplitude, or similar platforms to understand user behavior and measure the impact of design changes.
• Data Visualization Tools: While not a primary function, an understanding of how data is visualized (e.g., Tableau, Power BI) can inform design decisions for data-rich applications.

CRM & Automation:

• Project Management Software: Jira, Asana, Trello, or similar tools for managing design tasks, sprints, and collaborating with engineering teams.
• Collaboration Tools: Slack, Microsoft Teams, Zoom for communication, virtual meetings, and team coordination.
• Documentation Tools: Confluence, Notion, or similar for documenting design specifications, research findings, and design system guidelines.

📝 Enhancement Note: Proficiency in Figma and design system management is paramount. Familiarity with tools that support collaboration, project management, and understanding user behavior analytics will enhance a candidate's suitability for this role within a remote, product-focused environment.

👥 Team Culture & Values

Operations Values:

• Innovation & Impact: A strong emphasis on leveraging AI and data science to create meaningful impact and drive innovation for clients and the company. This means valuing forward-thinking solutions and a results-oriented approach.
• Collaboration & Partnership: A culture that promotes close teamwork across disciplines (design, engineering, data science, product management) and strong partnerships with clients to co-create solutions.
• Data-Driven Decision-Making: A commitment to using data and insights to inform strategy, product development, and design choices.
• Continuous Learning & Growth: Encouraging employees to stay updated with the latest technologies (especially AI), pursue certifications, and develop their skills through various learning resources.
• Agility & Adaptability: The nature of AI services and working with multiple product pods implies a need for flexibility, the ability to pivot, and adapt to changing project requirements and technologies.

Collaboration Style:

• Cross-Functional Integration: Expect a highly collaborative environment where designers work hand-in-hand with product managers, engineers, and data scientists from the outset of projects.
• Process Review & Feedback: A culture that encourages open feedback loops, design critiques, and iterative refinement of both product designs and internal processes.
• Knowledge Sharing: Encouragement of sharing best practices, insights from user research, and learnings from AI/ML applications across teams and projects.

📝 Enhancement Note: Blend360's culture appears to be centered around innovation, client success, and continuous improvement, driven by data and AI. A Senior Product Designer should thrive in a collaborative, fast-paced environment where learning and adaptability are key.

⚡ Challenges & Growth Opportunities

Challenges:

• Designing for Complexity: Translating intricate financial data, reconciliation processes, and AI insights into intuitive and actionable user interfaces presents a significant design challenge.
• Balancing Multiple Pods: Managing design responsibilities across multiple product pods at different stages of development requires strong organizational skills, prioritization, and the ability to context-switch effectively.
• AI Integration: Effectively designing user experiences for AI-driven features, ensuring transparency, trust, and practical utility for users, especially within a regulated industry.
• Client Communication & Alignment: Clearly articulating design strategies, managing expectations, and gaining buy-in from diverse client stakeholders who may have varying levels of technical understanding.
• Remote Collaboration: Maintaining strong team cohesion and effective design collaboration in a distributed, remote work environment.

Learning & Development Opportunities:

• AI & Data Science Immersion: Direct exposure to AI/ML concepts and data science workflows, providing hands-on experience in designing for cutting-edge technologies.
• Financial Services Domain Expertise: Deepening understanding of the financial services and wealth management sectors, including regulatory aspects, which can lead to specialized career paths.
• Advanced Design Leadership: Opportunities to refine leadership skills, mentor junior designers, and influence product strategy at a senior level.
• Certifications & Training: Access to industry-recognized certifications (AWS, Databricks, Snowflake) and extensive online learning resources (Udemy Business) to continuously upskill.
• Cross-Functional Skill Development: Gaining exposure to product management, engineering, and data science methodologies through close collaboration.

📝 Enhancement Note: The challenges presented are typical for senior roles in innovative tech companies, particularly those dealing with complex domains and emerging technologies. The growth opportunities are substantial, offering specialization, leadership development, and continuous learning.

💡 Interview Preparation

Strategy Questions:

• Product Strategy & Design Thinking: "Describe a time you used design thinking to solve a complex problem for a data-intensive application. What was the outcome?" or "How would you approach designing an MVP for an AI-driven financial reconciliation tool, considering potential user concerns about AI accuracy?"
• Collaboration & Stakeholder Management: "Walk me through a challenging stakeholder negotiation you faced regarding a design decision. How did you manage it?" or "How do you ensure effective communication and collaboration with engineering and product teams in a remote setup?"
• Problem-Solving & Efficiency: "Imagine users are struggling to understand the AI insights presented in a dashboard. How would you diagnose and address this?" or "How do you balance the need for comprehensive features with the goal of creating an efficient and intuitive user experience for internal tools?"

Company & Culture Questions:

• "Based on what you know about Blend360 and this role, what excites you most about this opportunity?"
• "How do you stay updated with the latest trends in AI, product design, and financial technology?"
• "Describe your ideal team environment and how you contribute to a positive cross-functional dynamic."
• "How do you measure the success of your designs, beyond user satisfaction?"

Portfolio Presentation Strategy:

• Structure Your Narrative: For each case study, clearly outline: The Problem, Your Role, The Process (Research, Ideation, Design, Testing), The Solution (show key screens, flows, interactions), and The Results/Impact.
• Highlight Data & AI: Emphasize how you tackled complex data visualization and any experience designing with AI/ML components. Explain your approach to making AI outputs understandable and actionable.
• Showcase Figma & Design Systems: Be ready to share specific examples of your work in Figma, including how you've contributed to or utilized design systems.
• Focus on Rationale: For every design decision, explain the "why" – what user needs, business goals, or technical constraints informed your choices.
• Prepare for Questions: Anticipate questions about your process, trade-offs, challenges, and how you would approach specific aspects of the role (e.g., designing for trade reconciliation).

📝 Enhancement Note: Interview preparation should focus on demonstrating a deep understanding of the design process for complex, data-driven applications, especially those involving AI. Candidates must be ready to articulate their strategic thinking, collaboration skills, and ability to translate technical complexities into user-friendly solutions.

📌 Application Steps

To apply for this Senior Product Designer position:

• Submit your resume and a link to your online portfolio through the application portal.
• Portfolio Customization: Ensure your portfolio prominently features 3-5 complex, data-rich projects, ideally with a focus on B2B or enterprise applications, and clearly highlights your role, process, and impact. Prioritize examples demonstrating your Figma proficiency and design system contributions.
• Resume Optimization: Tailor your resume to highlight keywords from the job description, such as "Product Design," "Figma," "Design Systems," "Data Visualization," "AI/ML Concepts," "Financial Services," and "Client Collaboration." Quantify your achievements whenever possible.
• Interview Preparation: Thoroughly research Blend360, its services, and its approach to AI and client impact. Prepare to walk through your portfolio case studies, focusing on your design process, problem-solving, and ability to handle complexity. Practice answering strategy and behavioral questions.
• Company & Role Research: Understand Blend360's mission and values. Prepare to discuss how your skills and experience align with the company's focus on AI-driven solutions and client co-creation, and how you would contribute to their culture of continuous learning and innovation.

⚠️ 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.