[Job 29431] Mid Product Designer (focus in UX), Brazil

📍 Job Overview

Job Title: Mid Product Designer (focus in UX), Brazil

Company: CI&T

Location: Brazil

Job Type: Full-time

Category: Product Design / UX Design

Date Posted: May 19, 2026

Experience Level: Mid-Level (2-5 years)

Remote Status: Hybrid (with mandatory office presence for Campinas Metropolitan Region residents)

🚀 Role Summary

• Spearhead the strategic vision for AI agent orchestration in user communication, focusing on intuitive and functional user experiences.

• Drive the product discovery process, championing the user's voice through journey mapping and navigation flow design.

• Prototype and refine conversational experiences using Generative AI, bridging user needs with AI capabilities.

• Collaborate with multidisciplinary teams to integrate design and writing solutions for intelligent systems.

• Conduct user research and validation to continuously optimize interactions and content for AI-driven products.

📝 Enhancement Note: This role is heavily focused on the intersection of User Experience (UX) Design and Artificial Intelligence (AI), specifically Generative AI. The emphasis on "orchestration of AI agents" and "conversational design" indicates a need for a designer who can not only create user-friendly interfaces but also shape the dialogue and interaction patterns of AI-powered systems.

📈 Primary Responsibilities

• Develop and enhance products with a strong focus on user experiences involving Artificial Intelligence for interactions.

• Actively participate in the Discovery phase and value proposition definition, representing the user's perspective by mapping user journeys and designing navigation flows.

• Create prototypes for customer service experiences leveraging Generative AI, connecting real user needs with AI initiatives.

• Contribute to the product's conversation design, ensuring a consistent and engaging user experience.

• Design and optimize interaction flows for intuitive user guidance, mapping journeys and considering diverse user contexts and profiles.

• Develop fallback experiences and intention confirmation reformulations for seamless transitions between deterministic decision tree flows and generative AI conversations.

• Optimize content for intelligent systems, ensuring relevance and natural language.

• Collaborate with diverse teams to integrate design and writing solutions into the product.

• Conduct research to validate and improve user interactions.

• Ensure business rules and guidelines are effectively incorporated into the designed solutions.

📝 Enhancement Note: The responsibilities highlight a deep dive into conversational AI design, including specific requirements for handling transitions between structured and unstructured AI interactions (decision trees vs. generative models). This suggests a need for a candidate who can think critically about AI's limitations and strengths in user support.

🎓 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 mid-level product designers. Equivalent practical experience will also be considered.

Experience: A minimum of 2-5 years of experience in product design, with a strong emphasis on UX research and strategic argumentation for senior leadership. Experience in digital products and channels is crucial.

Required Skills:

• Extensive experience in product design, with strong user research and argumentation skills for validation with high leadership.

• Strategic vision for digital products and channels.

• Excellent communication and collaboration skills with multidisciplinary teams.

• Proficiency in prototyping tools such as Miro, and other testing and validation tools.

• Experience in conducting strategic discovery processes, including user interviews, journey mapping, and design opportunity identification.

• Familiarity with agile methodologies and adaptability to dynamic environments.

Preferred Skills:

• Experience in chatbot conversation flow design and virtual assistant interactions.

• Basic understanding of Large Language Models (LLMs) and Generative AI functionalities.

• Solid experience in discovery processes, including user research, journey mapping, concept testing, experimentation, and customer development practices.

• Experience with chatbots and conversation automation.

• Knowledge in designing decision trees.

• Writing skills for creating content for artificial intelligence agents.

• Experience in developing and implementing AI agents.

📝 Enhancement Note: The distinction between required and preferred skills clearly indicates that while core UX/product design competencies are essential, a strong background or demonstrable interest in AI-specific design challenges (conversational AI, LLMs, Generative AI) will significantly differentiate candidates. The "Mid-Level" designation suggests that while leadership in projects is expected, they might not be solely responsible for high-level strategy without senior oversight.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Showcase of at least 2-3 comprehensive product design projects, with a strong emphasis on UX research, user journey mapping, and problem-solving.

• Detailed case studies demonstrating the design process, from initial discovery and user research to final implementation and impact.

• Examples of interactive prototypes created using tools like Miro, Figma, or similar, illustrating user flows and interaction design.

• Evidence of collaboration with cross-functional teams (e.g., developers, product managers, AI specialists) and how user needs were balanced with technical constraints.

Process Documentation:

• Clearly outline the discovery process, including methodologies used for user research, persona development, and opportunity identification.

• Document the journey mapping and wireframing/prototyping stages, explaining design decisions and rationale.

• Showcase how A/B testing, user testing, or other validation methods were employed to refine designs.

• Provide examples of how business requirements and technical constraints were integrated into the design solutions, particularly for AI-driven features.

📝 Enhancement Note: For this role, a portfolio demonstrating experience with conversational design, AI interactions, or complex user flows within digital products will be highly valued. Candidates should be prepared to walk through their process for designing AI-powered features, including how they approached the unique challenges of natural language interaction and AI-driven decision-making.

💵 Compensation & Benefits

Salary Range: For a Mid-Level Product Designer in Brazil (with a focus on UX and AI), based on CI&T's known compensation practices and industry benchmarks for similar roles in major tech hubs within Brazil (e.g., São Paulo, Rio de Janeiro), the estimated salary range is likely between R$ 7,000 to R$ 12,000 per month. This range can vary based on specific location within Brazil, candidate experience, and negotiation.

Benefits:

• Comprehensive health and dental insurance plans.

• Meal and food vouchers to support daily expenses.

• Childcare assistance for parents.

• Extended parental leave for new parents.

• Access to Wellhub (formerly Gympass) and TotalPass for fitness and wellness.

• Profit Sharing (PLR) based on company and individual performance.

• Life insurance coverage.

• Continuous learning opportunities through CI&T University and other platforms.

• Discount club for various services and products.

• Dedicated online platform for physical, mental, and overall well-being.

• Specialized courses for pregnancy and responsible parenting.

• Partnerships with online course platforms for professional development.

• Language learning platform access.

• Additional benefits as detailed on the company's career page.

Working Hours: Standard full-time working hours are typically 40 hours per week. While the role is hybrid, specific office attendance requirements for those in the Campinas Metropolitan Region will be mandatory. Flexibility may be offered within the standard work week, subject to team needs and project demands.

📝 Enhancement Note: Salary estimations are based on general market data for mid-level UX/Product Designers in Brazil, considering the tech industry and a company of CI&T's size and reputation. Actual compensation will depend on the candidate's specific qualifications, experience, and negotiation. The benefits package is extensive, reflecting a strong commitment to employee well-being and professional development.

🎯 Team & Company Context

🏢 Company Culture

Industry: Technology, Digital Transformation, and Artificial Intelligence. CI&T is a global digital transformation partner, specializing in creating scalable tech solutions by integrating human expertise with AI. They have a strong history of partnering with large clients to drive innovation.

Company Size: Over 8,000 employees globally. This indicates a large, established organization with diverse opportunities and a structured environment, yet with the agility to operate in fast-paced tech projects.

Founded: 30 years of history. This longevity suggests stability, deep industry knowledge, and a proven track record in the technology sector.

Team Structure:

• The Product Design team likely operates within larger project teams, collaborating closely with Product Managers, AI Engineers, Software Developers, and Business Analysts.

• Reporting structure will likely involve a Design Lead or Manager, who oversees multiple projects and designers.

Methodology:

• Data Analysis and Insights: Emphasis on using user research, analytics, and AI-driven insights to inform design decisions and product strategy.

• Workflow Planning and Optimization: Designing intuitive user flows and optimizing interactions, particularly for AI-powered systems, to enhance efficiency and user satisfaction.

• Automation and Efficiency Practices: Leveraging AI and design principles to automate processes and improve operational efficiency for both users and the business.

Company Website: https://ciandt.com/br/pt-br/

📝 Enhancement Note: CI&T's focus on "technological transformation" and "AI" suggests a culture that values innovation, continuous learning, and expertise. The company's size and history imply a professional environment with established processes, but their work in cutting-edge AI means they are likely adaptable and forward-thinking.

📈 Career & Growth Analysis

Operations Career Level: This role is positioned as "Mid Product Designer" focusing on UX. This typically means an individual contributor role with increasing autonomy and responsibility for specific product features or modules. They are expected to contribute significantly to the design process, from discovery to delivery, and mentor more junior designers.

Reporting Structure: The designer will likely report to a Design Lead or Manager, who is part of a broader Product or Engineering organization. They will work closely with Product Managers and AI Engineers on AI-centric projects.

Operations Impact: The designer's impact will be critical in shaping how users interact with CI&T's AI-powered solutions. By creating intuitive and effective user experiences, they will directly influence user adoption, satisfaction, and the overall success of AI initiatives for clients. This role bridges the gap between complex AI technology and human usability, driving business value through superior user experience.

Growth Opportunities:

• Specialization in AI UX: Deepen expertise in designing for AI, LLMs, and Generative AI, becoming a sought-after specialist in this rapidly growing field.

• Leadership Development: Progress to a Senior Product Designer role, leading larger and more complex projects, mentoring junior designers, and contributing more significantly to design strategy.

• Cross-functional Skill Enhancement: Gain exposure to AI engineering, product management, and business strategy, broadening career options within CI&T or the broader tech industry.

• Client-facing Experience: Develop skills in presenting design solutions and strategies to clients, enhancing communication and stakeholder management capabilities.

📝 Enhancement Note: The role offers a clear path for growth within the specialized domain of AI UX Design. Candidates looking to build a career at the forefront of AI product development will find significant opportunities for skill enhancement and career progression.

🌐 Work Environment

Office Type: CI&T operates with a hybrid model, meaning there will be a mix of remote work and office-based collaboration. For employees residing in the Campinas Metropolitan Region, mandatory office presence is stated, indicating specific office hubs or co-working spaces used by the company. This suggests a blend of focused individual work and collaborative team sessions.

Office Location(s): While the job is listed for "Brazil," the specific mention of mandatory office presence for the Campinas Metropolitan Region implies that CI&T has established offices or collaborative workspaces in this area. Other major Brazilian cities might also have CI&T presence, facilitating hybrid work.

Workspace Context:

• Collaborative Environment: The hybrid model encourages collaboration, with office days dedicated to team meetings, workshops, brainstorming sessions, and cross-functional project alignment, particularly relevant for complex AI design challenges.

• Operations Tools and Technology: Access to industry-standard design and prototyping tools (Miro, etc.), as well as potential internal platforms for AI development and collaboration.

• Operations Team Interaction: Opportunities for regular interaction with fellow designers, AI specialists, product managers, and developers, fostering a knowledge-sharing and problem-solving culture.

Work Schedule: The standard working hours are 40 hours per week. The hybrid nature allows for flexibility, enabling designers to manage their time effectively between focused individual work (often remote) and collaborative team activities (often in-office). Adherence to project deadlines and team availability will be key.

📝 Enhancement Note: The hybrid nature, with a specific clause for Campinas residents, is a key detail. Candidates should clarify their specific work location expectations and understand the balance between remote and in-office contributions required by CI&T.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A recruiter or HR representative will assess your application, focusing on your resume, experience, and alignment with the stated requirements, particularly your UX/product design background and any AI-related exposure.

• Technical Interview (Design Challenge/Portfolio Review): This is a critical stage where you'll present your portfolio. Expect to walk through 2-3 key projects, detailing your process, problem-solving approach, design rationale, and the impact of your work. A specific design challenge related to AI interactions or conversational UX might be given.

• Hiring Manager/Team Interview: You'll meet with the hiring manager and potentially team members (designers, product managers, AI engineers) to discuss your experience in more depth, assess cultural fit, and explore your understanding of AI and UX principles.

• Final Interview: Potentially with senior leadership, focusing on strategic thinking, leadership potential, and overall fit within CI&T's vision.

Portfolio Review Tips:

• Focus on AI/Conversational Design: Highlight projects that demonstrate your ability to design for AI, chatbots, or complex interactive systems.

If direct AI experience is limited, showcase transferable skills in complex problem-solving, user journey mapping, and intuitive interaction design.

• Structure Your Case Studies: For each project, clearly articulate:

  • The Problem: What user or business problem were you solving?
  • Your Role: What were your specific responsibilities?
  • The Process: Detail your research, ideation, prototyping, testing, and iteration.
  • The Solution: Showcase the final design, highlighting key features and design decisions.
  • The Impact: Quantify results where possible (e.g., improved conversion rates, reduced support tickets, increased user satisfaction).

• Demonstrate Tool Proficiency: Be ready to discuss and potentially demonstrate your use of tools like Miro for collaboration and ideation, and prototyping tools.

• Articulate Your "Why": Be prepared to explain your design decisions, especially how they address user needs and business objectives within the context of AI.

Challenge Preparation:

• Understand AI Interaction Design: Familiarize yourself with common patterns and challenges in conversational AI, LLM interfaces, and Generative AI applications.

• Practice User Journey Mapping: Be ready to map out a user journey for an AI-driven service or feature.

• Prepare for Problem-Solving Scenarios: Anticipate questions that require you to break down a complex design problem related to AI and propose solutions.

📝 Enhancement Note: The interview process will heavily weigh your portfolio and your ability to articulate your design thinking, especially concerning AI. Be prepared to discuss the nuances of designing for AI, which differ significantly from traditional UI/UX.

🛠 Tools & Technology Stack

Primary Tools:

• Prototyping & Design: Miro (explicitly mentioned for prototyping and validation), Figma, Sketch, Adobe XD.

• User Research & Validation: Tools for conducting user interviews, surveys, usability testing (e.g., UserTesting.com, Maze), and data analysis platforms.

• Collaboration: Slack, Microsoft Teams, Jira, Confluence.

Analytics & Reporting:

• Tools for tracking user behavior and product performance (e.g., Google Analytics, Mixpanel, Amplitude).

CRM & Automation:

• While not explicitly mentioned for this role, familiarity with CRM systems (like Salesforce) and marketing automation tools can be beneficial for understanding the broader customer journey and business context.

• Understanding of AI/ML platforms and how they integrate into product workflows.

📝 Enhancement Note: Proficiency in Miro is a must, given its explicit mention. Experience with other standard UX/UI tools and a foundational understanding of how AI/ML platforms function and integrate into product ecosystems will be highly advantageous.

👥 Team Culture & Values

Operations Values:

• Innovation & Expertise: A drive to stay at the forefront of technology, particularly AI, and to build scalable, cutting-edge solutions.

• Human-Centricity: A commitment to understanding and prioritizing user needs, even within AI-driven contexts.

• Collaboration & Partnership: Working effectively in multidisciplinary teams and fostering strong relationships with clients.

• Agility & Adaptability: Thriving in dynamic environments and embracing new technologies and methodologies.

• Continuous Learning: A culture that encourages ongoing skill development and knowledge acquisition in a rapidly evolving tech landscape.

Collaboration Style:

• Cross-functional Integration: Designers work closely with engineers, product managers, and AI specialists, requiring clear communication and a shared understanding of project goals.

• Process Review & Feedback: An environment that encourages constructive feedback on designs and processes to drive continuous improvement.

• Knowledge Sharing: Active participation in sharing insights, best practices, and learnings, especially in the rapidly evolving field of AI UX.

📝 Enhancement Note: CI&T's emphasis on technological transformation and AI suggests a culture that values forward-thinking individuals who are comfortable with ambiguity and eager to explore new frontiers in design and technology.

⚡ Challenges & Growth Opportunities

Challenges:

• Designing for Emerging AI Technologies: Navigating the complexities and rapid evolution of Generative AI and LLMs to create predictable and reliable user experiences.

• Balancing User Needs with AI Capabilities: Ensuring AI features are genuinely helpful and intuitive, rather than overly complex or a poor substitute for human interaction.

• Communicating Complex AI Concepts: Effectively articulating the value and functionality of AI-driven features to both users and stakeholders.

• Integrating AI into Existing Workflows: Seamlessly incorporating AI capabilities into established user journeys and business processes.

Learning & Development Opportunities:

• Specialized AI UX Training: Access to CI&T's learning platforms and potential internal workshops focused on AI design, conversational interfaces, and LLM applications.

• Industry Conferences & Certifications: Opportunities to attend relevant conferences or pursue certifications in UX, AI, or related fields.

• Mentorship Programs: Guidance from senior designers or AI experts within CI&T to foster skill development and career growth.

• Exposure to Diverse Projects: Working on a variety of client projects allows for broad experience and exposure to different industry challenges and AI use cases.

📝 Enhancement Note: This role offers a significant opportunity to become an expert in the niche and high-demand field of AI UX design, facing and overcoming the unique challenges of designing for intelligent systems.

💡 Interview Preparation

Strategy Questions:

• "Describe a time you had to balance user needs with significant technical constraints. How did you approach it, and what was the outcome?" (Focus on demonstrating problem-solving and negotiation skills.)

• "How would you design a user journey for a customer seeking support for a complex product, where AI agents are the primary point of contact?" (Prepare to map out user flows, consider fallback mechanisms, and articulate your design rationale.)

Company & Culture Questions:

• "What excites you about CI&T's focus on AI and digital transformation?" (Research CI&T's recent projects and vision.)

• "How do you approach collaboration with engineers and product managers, especially when discussing complex AI features?" (Highlight your communication and teamwork skills.)

Portfolio Presentation Strategy:

• Tell a Story: For each case study, frame it as a narrative: problem, process, solution, and impact.

• Highlight Your Role: Clearly define your contributions, especially in areas like user research, ideation, and prototyping.

• Show, Don't Just Tell: Use visuals extensively – wireframes, prototypes, user journey maps, and final UI mockups.

• Quantify Impact: Where possible, use data and metrics to demonstrate the success of your designs. If direct metrics aren't available, discuss anticipated outcomes or qualitative feedback.

• Be Ready for AI-Specific Questions: Expect to be asked about your understanding of AI, LLMs, and conversational design principles.

📝 Enhancement Note: Your portfolio is your primary tool. Be prepared to defend your design decisions with a strong rationale rooted in user-centered principles and an understanding of AI capabilities and limitations.

📌 Application Steps

To apply for this operations position:

• Submit your application through the provided Lever job portal link.

• Curate Your Portfolio: Select 2-3 of your most relevant projects, prioritizing those that demonstrate UX research, complex problem-solving, and ideally, any experience with interactive systems or AI. Ensure each case study clearly outlines the problem, your process, your specific contributions, the solution, and the impact.

• Tailor Your Resume: Highlight keywords from the job description such as "Product Designer," "UX Design," "AI," "Generative AI," "User Research," "Miro," "Prototyping," and "Agile Methodologies." Quantify achievements whenever possible.

• Prepare Your Portfolio Presentation: Practice walking through your selected case studies concisely and effectively. Be ready to discuss your design rationale, research methodologies, and how you handled challenges. Prepare specific examples for how you would approach designing for AI interactions.

• Research CI&T: Understand their mission, their work in AI and digital transformation, and their company culture. This will help you tailor your responses and demonstrate genuine interest.

⚠️ 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.