Senior Product Designer

📍 Job Overview

Job Title: Senior Product Designer

Company: Blend360

Location: Montevideo, Montevideo Department, Uruguay

Job Type: Full-time

Category: Product Design / AI Services

Date Posted: April 20, 2026

Experience Level: Senior (5-8 years)

Remote Status: Hybrid

🚀 Role Summary

• Lead the conceptualization and execution of intuitive, AI-driven digital experiences for enterprise clients, bridging user needs with business objectives.

• Drive end-to-end design processes, from initial discovery and user flows to high-fidelity prototypes and final developer-ready assets.

• Foster a human-centered design approach, particularly for AI-first products, ensuring usability and accessibility.

• Collaborate closely with product managers, data scientists, and engineers in a hybrid consulting and product development environment.

📝 Enhancement Note: This role is positioned within an AI services provider, indicating a strong emphasis on designing solutions that leverage AI and data science. The "hybrid consulting and product development environment" suggests that candidates will need to balance client-facing responsibilities with hands-on product creation. The core focus on "AI-first, human-centered design" is a critical differentiator for this Senior Product Designer role.

📈 Primary Responsibilities

• Spearhead the entire product design lifecycle, encompassing user research, ideation, wireframing, user flow mapping, prototyping, and visual design.

• Develop and iterate on AI-powered product experiences, applying robust human-centered design principles to ensure intuitive and impactful user interactions.

• Translate complex user research findings, intricate business requirements, and technical constraints into clear, accessible, and user-friendly interfaces.

• Collaborate effectively with cross-functional teams, including Product Managers, Data Scientists, and Engineers, to solve sophisticated, data-driven challenges.

• Champion and maintain high standards for visual design, interaction design, and overall usability across all digital product deliverables.

• Contribute to the development, maintenance, and evolution of design systems, ensuring consistency, scalability, and efficiency in design execution.

• Actively participate in client-facing engagements, presenting design solutions, articulating design rationale, and incorporating valuable feedback.

• Serve as a strong advocate for user experience best practices and user-centricity throughout the entire product development lifecycle.

📝 Enhancement Note: The responsibilities emphasize a leadership role in design execution and strategy for AI-centric products. The requirement to translate "complex, data-driven challenges" and "intricate business requirements" into user interfaces highlights the need for strong analytical and problem-solving skills in a design context, beyond typical UI/UX tasks.

🎓 Skills & Qualifications

Education: While no specific degree is mandated, a Bachelor's degree in Design, Human-Computer Interaction, Computer Science, or a related field is typically expected for a Senior Product Designer role, demonstrating foundational knowledge.

Experience: A minimum of 5-8 years of progressive professional experience in product design, with a proven track record in designing web and/or mobile applications. Experience in agile development environments and cross-functional team collaboration is essential.

Required Skills:

• 5-8 years of experience in product design for web and/or mobile applications.

• Advanced proficiency in industry-standard design tools, with a specific emphasis on Figma.

• Demonstrated experience in creating and working with comprehensive design systems.

• Solid understanding of core UX principles, human-centered design methodologies, and design thinking processes.

• Expertise in UI patterns, interaction design principles, and accessibility standards (e.g., WCAG).

• Strong communication and presentation skills, with the ability to articulate complex design decisions effectively to diverse stakeholders.

• Proven experience working within agile development methodologies and cross-functional team structures.

Preferred Skills:

• Prior experience designing and working with data-driven products, such as analytics dashboards.

• Familiarity with AI/ML-based solutions and the unique design considerations they entail.

• Consulting or agency experience, indicating exposure to diverse client needs and project scopes.

• Experience in user research methodologies and translating insights into design solutions.

• Proficiency in prototyping tools beyond Figma for advanced interaction design.

📝 Enhancement Note: The requirement for "5-8 years of experience" and the emphasis on "Figma" and "design systems" point towards a need for experienced designers capable of contributing to mature design practices. The "plus" for AI/ML experience and data-driven products strongly signals the company's focus and the ideal candidate's specialization.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• A curated portfolio showcasing end-to-end product design projects, demonstrating a clear process from problem definition to solution implementation.

• Case studies that highlight complex challenges, user-centered design solutions, and measurable impact, with a preference for data-driven or AI-related projects.

• Examples of high-fidelity prototypes, interactive user flows, and detailed wireframes that illustrate design thinking and problem-solving capabilities.

• Evidence of contributions to or creation of design systems, showcasing consistency, scalability, and component-based design principles.

Process Documentation:

• Demonstrations of how user research and data analysis were integrated into the design process to inform decisions and validate solutions.

• Examples of workflow optimization through design, showcasing how intuitive interfaces can improve user efficiency or task completion.

• Case studies detailing the iterative design process, including user testing, feedback incorporation, and design refinement.

• Documentation of collaboration with engineering and product teams, illustrating the process of handing off design assets and ensuring design integrity.

📝 Enhancement Note: For a Senior Product Designer role, particularly one focused on AI and data, the portfolio is paramount. It should not just showcase finished products but also the candidate's strategic thinking, problem-solving methodology, and ability to translate complex technical concepts (like AI/ML) into user-friendly experiences. The emphasis on "process" and "data-driven" solutions is key.

💵 Compensation & Benefits

Salary Range: Based on industry benchmarks for Senior Product Designers in Montevideo, Uruguay, with 5-8 years of experience and advanced English proficiency, a competitive salary range would likely fall between USD $35,000 - $60,000 annually. This estimate considers the specialized nature of AI/data-driven design and the consulting aspect of the role.

Benefits:

• Learning & Development: Access to certifications (AWS, Databricks, Snowflake), AI learning paths, tailored study plans, Udemy Business subscription, and English language lessons.

• Growth & Mentorship: Career development plans and dedicated mentorship programs.

• Work Flexibility: Flexible working options to promote work-life balance.

• Travel: Opportunities to attend industry conferences and client meetings.

• Equipment: Company-provided equipment for work.

• Recognition: Special day rewards for birthdays and work anniversaries.

Working Hours: The role specifies a standard 40-hour work week, with flexible working options available, allowing for a balance between structured work and personal time.

📝 Enhancement Note: The salary estimate is based on research of similar roles in Montevideo, considering the experience level and the specific technical focus (AI/Data). The benefits package is comprehensive, with a strong emphasis on continuous learning and professional development, which is highly attractive to senior-level professionals.

🎯 Team & Company Context

🏢 Company Culture

Industry: Blend360 operates in the AI services sector, positioning itself as a premier provider of data science, AI, technology, and human expertise. They focus on co-creating impact and tackling significant challenges for enterprise clients through data-driven strategies.

Company Size: Blend360 is described as an "AI services provider" and aims for "next level of growth and expansion." While specific numbers aren't provided, this suggests a growing, dynamic company, likely mid-sized or scaling rapidly, offering opportunities for significant impact.

Founded: The company was founded with a mission to "fuel bold visions" and "unlock value and foster innovation." This founding principle underscores a culture of ambition, problem-solving, and forward-thinking innovation, particularly in the application of AI.

Team Structure:

• The design team likely operates within a matrixed structure, collaborating closely with product management, data science, and engineering departments.

• As a Senior Product Designer, you will likely interface with both internal teams and external clients, requiring strong stakeholder management skills.

Methodology:

• Blend360 emphasizes a data-driven strategy, suggesting that design decisions are informed by analytics and user data.

• The company's approach to AI services indicates a focus on leveraging cutting-edge technology to solve complex business problems.

• Human-centered design principles are core, ensuring that technology serves user needs effectively, even in complex AI applications.

Company Website: www.blend360.com

📝 Enhancement Note: The company culture appears to be innovation-driven, client-focused, and technology-forward, with a strong emphasis on AI and data. The hybrid model suggests a need for adaptability and strong communication skills across diverse teams and client expectations.

📈 Career & Growth Analysis

Operations Career Level: This role is designated as "Senior Product Designer," indicating a mid-to-senior career stage. It requires a high degree of autonomy, strategic input, and the ability to lead design initiatives. The role involves not only execution but also influencing design direction and mentoring junior team members.

Reporting Structure: While not explicitly stated, a Senior Product Designer typically reports to a Design Lead, Head of Design, or a Product Manager overseeing design initiatives within a specific product area or client engagement. In a consulting context, they may also report to engagement managers.

Operations Impact: The Senior Product Designer's impact is critical in shaping the user experience of AI-driven products, directly influencing client satisfaction, adoption rates, and the perceived value of Blend360's services. By translating complex AI capabilities into intuitive interfaces, they enable clients to leverage these advanced technologies effectively, driving business outcomes.

Growth Opportunities:

• Leadership Track: Potential to move into a Lead Product Designer or Design Manager role, overseeing a team and strategic design initiatives.

• Specialization: Deepen expertise in AI/ML design, data visualization, or specific industry verticals where Blend360 operates.

• Consulting Acumen: Develop advanced client-facing skills, strategic advisory capabilities, and business development involvement.

• Technical Upskilling: Leverage company-provided learning resources to gain certifications and expertise in related AI and data platforms.

📝 Enhancement Note: The "Senior" title implies a significant level of responsibility and potential for leadership. The emphasis on AI and consulting suggests growth paths that blend deep technical design expertise with client advisory skills.

🌐 Work Environment

Office Type: The role is described as "Hybrid," suggesting a blend of remote work and in-office collaboration. This typically means employees are expected to be in the office for a portion of the week, fostering teamwork and in-person interaction, while also allowing for flexibility.

Office Location(s): The primary work location is Montevideo, Uruguay. Specific office details beyond that are not provided, but it's reasonable to assume a professional office environment conducive to collaborative design work.

Workspace Context:

• The workspace is designed to facilitate collaboration between designers, product managers, data scientists, and engineers, essential for the hybrid consulting/development model.

• Access to necessary design tools and technology, including Figma, will be standard.

• Opportunities for in-person brainstorming sessions, design critiques, and client meetings will be integrated into the work environment.

Work Schedule: The standard working hours are 40 hours per week, with the benefit of flexible working options, allowing individuals to manage their schedules effectively around core collaboration times and personal needs.

📝 Enhancement Note: The hybrid nature of the role is a key aspect of the work environment, requiring individuals to be comfortable working both independently and collaboratively, in-person and remotely.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A review of your resume and portfolio to assess alignment with the role's requirements. Be prepared to articulate your design process and highlight key projects.

• Technical Interview (Design Challenge): This may involve a live design exercise or a take-home challenge focused on solving a product problem, often related to AI or data visualization. Your ability to think critically, apply design principles, and articulate your rationale will be assessed.

• Portfolio Presentation: A dedicated session where you present selected case studies from your portfolio, detailing your role, process, challenges, and outcomes. Focus on storytelling and demonstrating your impact.

• Cross-functional Interviews: Discussions with potential colleagues from product management, engineering, and data science teams to evaluate collaboration style, technical understanding, and cultural fit.

• Final Interview: A conversation with senior leadership to discuss your career aspirations, strategic thinking, and overall fit with Blend360's vision.

Portfolio Review Tips:

• Curate Strategically: Select 3-5 projects that best showcase your end-to-end design process, problem-solving skills, and experience with AI/data-driven products.

• Tell a Story: For each project, clearly articulate the problem, your specific role and responsibilities, the design process you followed, the challenges you encountered, your solutions, and the measurable impact or outcomes.

• Highlight AI/Data: Explicitly showcase any projects involving AI, machine learning, data visualization, or complex data analysis, detailing how you translated these into user-friendly experiences.

• Showcase Process: Include wireframes, user flows, research insights, and iterations to demonstrate your design thinking and problem-solving approach, not just final polished screens.

• Prepare for Questions: Anticipate questions about your design decisions, how you handle feedback, your collaboration style, and your understanding of Blend360's AI-focused business.

Challenge Preparation:

• Understand the Context: If given a challenge, thoroughly research Blend360 and their AI services. Consider the types of problems their enterprise clients might face.

• Define the Problem: Practice framing the problem statement clearly and identifying key user needs and business goals.

• Outline Your Approach: Prepare to articulate a structured design process, including research, ideation, design, and testing phases.

• Focus on AI/Data: If the challenge involves AI or data, consider how you would approach designing for explainability, trust, and user control within these complex systems.

• Practice Presentation: Rehearse presenting your solution concisely, focusing on your rationale and the impact of your design choices.

📝 Enhancement Note: The interview process for a Senior Product Designer in an AI-focused consulting firm will heavily weigh portfolio quality and the ability to articulate design strategy and problem-solving. Candidates should prepare to demonstrate not just design skills but also consulting aptitude and an understanding of AI's unique design challenges.

🛠 Tools & Technology Stack

Primary Tools:

• Figma: Essential for UI design, prototyping, collaboration, and design system management. High proficiency expected.

• Prototyping Tools: Beyond Figma, familiarity with tools like InVision, Adobe XD, or Principle for advanced interaction design may be beneficial.

• User Research Tools: Experience with platforms for user interviews, surveys, and usability testing (e.g., UserTesting.com, Maze, SurveyMonkey).

Analytics & Reporting:

• Data Visualization Tools: Familiarity with tools like Tableau, Power BI, or Looker for understanding and potentially designing dashboards.

• Analytics Platforms: Exposure to web analytics tools (e.g., Google Analytics, Adobe Analytics) to understand user behavior data.

CRM & Automation:

• While not directly a design tool, understanding how CRM systems (like Salesforce) and automation platforms integrate with user-facing applications can provide valuable context for enterprise solutions.

📝 Enhancement Note: Proficiency in Figma is explicitly stated as required. The emphasis on "data-driven products" and "AI/ML-based solutions" suggests that an understanding of how design interacts with data analytics and AI platforms is highly valued, even if direct tool experience isn't mandated.

👥 Team Culture & Values

Operations Values:

• Impact-Driven: A strong focus on delivering meaningful impact for clients through AI and data science solutions.

• Innovation & Boldness: Encouraging "bold visions" and tackling significant challenges with cutting-edge technology and strategy.

• Human-Centricity: Believing in the power of people and AI working together, with a commitment to human-centered design principles.

• Collaboration: Fostering seamless alignment between human expertise and artificial intelligence, and working collaboratively across functions.

• Continuous Learning: Encouraging staying up-to-date with the latest AI technologies and professional development through certifications and courses.

Collaboration Style:

• Cross-functional Integration: Designers work closely with product managers, data scientists, and engineers, requiring strong communication and the ability to translate across disciplines.

• Client Partnership: A consultative approach, involving direct client interaction, presenting solutions, and incorporating feedback to co-create value.

• Agile Teamwork: Working within agile frameworks means iterative collaboration, regular feedback loops, and shared ownership of project goals.

📝 Enhancement Note: The company culture strongly emphasizes innovation, client success, and the synergy between human talent and AI. The collaborative style is integral, given the cross-functional and client-facing nature of the role.

⚡ Challenges & Growth Opportunities

Challenges:

• Designing for AI Complexity: Translating the abstract and often opaque nature of AI/ML into intuitive, trustworthy, and user-friendly interfaces presents a significant design challenge.

• Balancing User Needs with Technical Constraints: Effectively reconciling sophisticated AI capabilities with user expectations and practical technical limitations requires strategic design thinking.

• Navigating Ambiguity: Thriving in a fast-paced, evolving environment where project scopes can be fluid and require quick adaptation.

• Cross-Disciplinary Communication: Bridging the gap between design, data science, and engineering, ensuring everyone is aligned on user goals and product vision.

Learning & Development Opportunities:

• AI & Data Science Certifications: Access to training and certifications in AWS, Databricks, and Snowflake to deepen expertise in key AI/data platforms.

• Specialized AI Design Training: Opportunities to focus on emerging areas of AI design, such as explainable AI (XAI), AI ethics in design, and human-AI interaction.

• Consulting Skills Development: Enhancing client management, presentation, and strategic advisory skills through practical experience and mentorship.

• Mentorship Programs: Guidance from experienced professionals within Blend360 to foster career growth and skill development.

📝 Enhancement Note: The primary challenges revolve around the inherent complexity of designing with AI and operating in a consulting environment. The growth opportunities are strongly tied to leveraging the company's resources to become an expert in AI-driven product design and consulting.

💡 Interview Preparation

Strategy Questions:

• Design Process & AI: "Describe a complex, data-driven product you designed. Walk me through your process, highlighting how you incorporated user research, AI/ML insights, and design thinking to arrive at your solution. What were the key trade-offs?"

• Collaboration & Problem-Solving: "How do you typically collaborate with data scientists and engineers? Describe a situation where you had to bridge a significant gap in understanding between design and technical teams to solve a user problem."

• User-Centricity & AI: "How do you ensure AI-powered products remain human-centered and trustworthy? What are the key ethical considerations you factor into your design process for AI applications?"

Company & Culture Questions:

• "What interests you most about Blend360's approach to AI services and our mission to create meaningful impact?"

• "How do you see your skills in product design contributing to our hybrid consulting and product development model?"

Portfolio Presentation Strategy:

• Focus on Impact: For each case study, clearly articulate the business problem, the user need, your solution, and the measurable outcomes or impact achieved. Quantify wherever possible.

• Showcase Your Role: Be specific about your contributions, especially if working on a team. Highlight your strategic thinking and problem-solving process.

• Explain Your 'Why': Be ready to defend your design decisions, explaining the rationale behind your choices, especially concerning AI and data integration.

• Demonstrate Adaptability: Show projects that illustrate your ability to work with different types of products, clients, or technical constraints.

• Prepare for Q&A: Anticipate deep dives into your process, tool usage, and how you handle constructive criticism.

📝 Enhancement Note: Interview questions will likely probe your ability to handle the unique challenges of designing for AI, your collaborative skills in a cross-functional and client-facing setting, and your strategic approach to problem-solving. A strong portfolio presentation is non-negotiable.

📌 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: Tailor your portfolio to highlight 2-3 key projects that best demonstrate your experience with AI/data-driven design, end-to-end product development, and complex problem-solving. Clearly articulate your role and the impact of your work.

• Resume Optimization: Ensure your resume emphasizes your years of experience, proficiency in Figma, understanding of UX/UI principles, experience with design systems, and any relevant AI/data product design work. Use keywords from the job description.

• Prepare for Design Challenges: Familiarize yourself with common product design challenges, especially those involving AI or data interpretation. Practice outlining your approach and presenting your solutions concisely.

• Research Blend360: Understand their AI services, client focus, and company culture. Be prepared to articulate why you are a good fit for their specific mission and hybrid work model.

⚠️ 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.