I - 8135 - Consultor(a) Product Designer com IA

📍 Job Overview

Job Title: Consultor(a) Product Designer com IA

Company: B3 S.A. – Brasil, Bolsa, Balcão

Location: São Paulo, SP, Brazil

Job Type: Full-time

Category: Product Design / UX Design with AI Focus

Date Posted: September 04, 2026

Experience Level: Mid-Senior (5-10 years implied)

Remote Status: Hybrid

🚀 Role Summary

• Lead product design initiatives, focusing on customer and business needs through in-depth research and discovery.

• Drive the creation of intuitive digital solutions by translating complex problems into simple, user-centered designs.

• Integrate Artificial Intelligence, particularly Generative AI, into product experiences and design processes.

• Collaborate closely with Product, Technology, Data, AI, and Business teams to deliver high-impact digital products.

• Utilize AI tools to accelerate design workflows, from research and ideation to prototyping and testing.

📝 Enhancement Note: The job title "Consultor(a) Product Designer com IA" and the responsibilities strongly indicate a role focused on applying AI, specifically Generative AI, within the product design lifecycle. This goes beyond traditional UX/UI and requires a strategic understanding of AI capabilities and their integration into user experiences. The "Consultor(a)" title suggests a senior-level individual contributor or a role with advisory responsibilities.

📈 Primary Responsibilities

• Conduct in-depth customer and business needs assessments to inform product strategy and design.

• Lead user research activities, including interviews, workshops, and discovery sessions, to uncover insights and opportunities.

• Map complex user journeys and identify critical points for experience enhancement and process optimization.

• Translate identified user pain points and business objectives into elegant, intuitive digital product solutions.

• Develop comprehensive design artifacts, including wireframes, user flows, interactive prototypes, and high-fidelity interfaces using Figma.

• Proactively identify and champion opportunities for applying Artificial Intelligence, including Generative AI, to product features and internal processes.

• Design and iterate on user experiences for AI-powered products such as generative AI interfaces, intelligent agents, copilots, and advanced automations.

• Foster strong partnerships and ensure seamless collaboration with Product Management, Engineering, Data Science, AI, and Business stakeholders.

• Leverage AI tools (e.g., Prompt Engineering) to enhance efficiency and effectiveness across all stages of the design process, from ideation to validation.

📝 Enhancement Note: The responsibilities emphasize a proactive approach to AI integration, not just as a tool but as a core component of product design. The role requires not only strong UX/UI skills but also an understanding of AI product development, user interaction with AI agents, and the strategic application of AI for business value.

🎓 Skills & Qualifications

Education: While not explicitly stated, a Bachelor's or Master's degree in Design, Human-Computer Interaction, Computer Science, or a related field is typically expected for this level of role.

Experience: Solid experience in Product Design, UX Design, or closely related fields, with an implied 5-10 years of professional experience based on the "Consultor(a)" title and scope of responsibilities.

Required Skills:

• Proven experience in Product Design or UX Design, demonstrating a strong portfolio of shipped products.

• Advanced proficiency in Figma for creating wireframes, user flows, interactive prototypes, and high-fidelity interface designs.

• Demonstrated experience in user research methodologies, including discovery, user interviews, usability testing, and solution validation.

• Solid understanding of design thinking principles and methodologies such as Double Diamond or Lean Discovery.

• Foundational knowledge of Artificial Intelligence concepts and practical applications, with a specific emphasis on Generative AI.

• Familiarity with Prompt Engineering techniques and the application of AI tools for design process acceleration.

• Proficiency in front-end development fundamentals: HTML, CSS, and JavaScript.

• Understanding of digital accessibility standards (WCAG) and responsive design principles.

• Strong collaborative skills, with a proven ability to work effectively within multidisciplinary product and technology teams. Preferred Skills:

• Experience designing for conversational AI products, intelligent agents, or AI copilots.

• Prior experience in Fintech, technology-driven companies, or innovation hubs.

• Knowledge or experience in Product Management principles and practices.

• Familiarity with product metrics analysis and A/B testing for experimentation and optimization.

• Experience with complex platforms and B2B product environments.

• Hands-on experience with specific AI design acceleration tools like Cursor, GitHub Copilot, Lovable, Bolt, or V0.

• Ability to develop navigable Minimum Viable Products (MVPs) with AI assistance.

• Understanding of data analysis techniques to inform product decisions.

• Familiarity with React, Design Systems, and component libraries.

📝 Enhancement Note: The required skills blend traditional UX/UI expertise with emerging AI design competencies. The emphasis on Figma, user research, and foundational web technologies is standard, but the inclusion of AI concepts, Generative AI, Prompt Engineering, and specific AI tools elevates this role. The preferred skills highlight a desire for candidates who are not only designers but also product thinkers with a strategic understanding of AI's impact.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Showcase a minimum of 2-3 significant product design projects, ideally with at least one demonstrating the integration or design of AI-powered features.

• Clearly articulate the problem statement, your role, the design process followed (emphasizing discovery and validation), key design decisions, and the measurable impact of the solution.

• Include detailed examples of wireframes, user flows, interactive prototypes, and final high-fidelity UI designs, with a focus on clarity and intuitiveness.

• Demonstrate proficiency in Figma by providing examples of complex prototypes, design systems integration, or collaborative design workflows.

• Evidence of user research and validation activities, including research findings, user journey maps, and how these informed design iterations. Process Documentation:

• Provide case studies that highlight your ability to apply methodologies like Design Thinking, Double Diamond, or Lean Discovery to solve complex product challenges.

• Illustrate how you've used AI tools or techniques to streamline design processes, accelerate research, or enhance ideation and prototyping.

• Document examples of how you've collaborated with engineering, data, and business teams to bring a product from concept to launch, emphasizing cross-functional synergy.

• Showcase your approach to designing for accessibility and responsive interfaces, ensuring inclusive and adaptable user experiences.

📝 Enhancement Note: For a role involving AI integration, the portfolio should ideally demonstrate experience in designing for AI-driven features, understanding user interaction with AI agents, or leveraging AI tools in the design process. The emphasis on process and impact is crucial for demonstrating a strategic approach to design and problem-solving.

💵 Compensation & Benefits

Salary Range: For a Consultor(a) Product Designer with AI expertise in São Paulo, Brazil, a competitive salary range would typically be between R$ 10,000 to R$ 18,000 per month, depending on experience, specific AI proficiency, and the overall scope of responsibilities within B3's compensation structure. This estimate is based on industry benchmarks for senior design roles in Brazil's financial and technology sectors, adjusted for the specialized AI skill requirement.

Benefits:

• Profit Sharing (PLR): A performance-based bonus linked to company and individual results.

• Comprehensive Health Coverage: Medical and dental insurance through Bradesco Saúde.

• Food Allowances:

  • Vale Alimentação: R$ 600 per month.
  • Vale Refeição: R$ 50 per working day.

• Transportation Support: Vale Transporte and partial reimbursement for company shuttle services.

• Retirement Planning: Private pension plan.

• Extended Parental Leave: Maternity leave up to 180 days and extended paternity leave.

• Childcare Support: Assistance for daycare/babysitting expenses.

• Wellness Programs: Access to Wellhub (Gympass) and TotalPass for employees and dependents.

• Employee Discount Program: Clube de Vantagens offering discounts with numerous partner companies.

• Professional Development: Access to Alura's extensive online course platform.

• Work-Life Balance Initiatives: Birthday day off, personal support programs, corporate yoga, museum entry, quick massages, and more.

• Pet Care: Funeral assistance for pets.

Working Hours: A standard full-time work week of approximately 40 hours is implied, with a hybrid work arrangement offering flexibility.

📝 Enhancement Note: The salary range is an estimation based on the role's seniority, specialized AI skill requirement, and the São Paulo market for senior tech/design professionals. The benefits package offered by B3 is extensive and competitive, reflecting its status as a Top Employer.

🎯 Team & Company Context

🏢 Company Culture

Industry: Financial Infrastructure / Stock Exchange. B3 operates as a central securities depository, clearinghouse, and organized over-the-counter market, playing a critical role in Brazil's economic development. This context means a strong emphasis on security, reliability, data integrity, and innovation within a highly regulated environment.

Company Size: Large Enterprise (implied by "Top Employer" awards and extensive benefits). This suggests a structured environment with established processes, but also opportunities for significant impact due to the scale of operations.

Founded: Over 100 years of history (as per company description), indicating a legacy of stability and adaptation.

Team Structure:

• The Product Design team likely operates within a broader Product or Technology division, collaborating closely with Product Managers, Data Scientists, AI Engineers, and Software Developers.

• Expect a matrixed organizational structure common in large enterprises, where project teams are formed cross-functionally for specific initiatives.

• Reporting lines would likely lead up through a Head of Product Design or Head of Digital Products, with direct collaboration across various business units. Methodology:

• Data-driven decision-making is paramount, given the financial industry context. Expect a strong focus on analytics, metrics, and rigorous validation.

• Agile methodologies are likely employed for product development, facilitating iterative design and rapid deployment.

• A growing emphasis on AI and machine learning is evident, indicating investment in cutting-edge technologies to drive innovation and efficiency.

Company Website: https://www.b3.com.br/

📝 Enhancement Note: B3's position as a major financial market infrastructure provider implies a culture that values precision, innovation, and a forward-thinking approach, especially with the integration of AI. The "Top Employer" recognition suggests a commitment to employee development and a positive work environment.

📈 Career & Growth Analysis

Operations Career Level: This role is positioned as a "Consultor(a)" (Consultant), indicating a senior individual contributor role. It signifies a high level of autonomy, expertise, and the ability to influence product direction and design strategy. The focus on AI integration suggests this is a critical and forward-looking position within the design function.

Reporting Structure: The role reports into a Product Design or Digital Products leadership. Collaboration will be extensive across Product, Technology, Data, and AI teams, providing broad exposure to different facets of the business.

Operations Impact: The Product Designer with AI expertise will have a direct impact on the user experience of B3's digital products, influencing customer engagement, operational efficiency, and the adoption of innovative AI features. This role is key to translating complex financial services into accessible and intuitive digital interfaces, driving business objectives through design.

Growth Opportunities:

• Specialization in AI Product Design: Deepen expertise in designing for AI-driven experiences, becoming a go-to specialist within B3.

• Leadership Track: Potential to move into a Lead Product Designer role, managing a team or overseeing design strategy for a product vertical.

• Cross-Functional Leadership: Opportunities to lead design initiatives that bridge Product, Technology, and AI research.

• Continuous Learning: Access to Alura courses and potentially industry conferences to stay abreast of AI and design trends.

• Mentorship: Opportunities to mentor junior designers and contribute to the growth of the design community within B3.

📝 Enhancement Note: The "Consultor(a)" title implies a significant level of autonomy and influence, offering substantial growth potential for individuals looking to specialize in AI product design within a leading financial institution.

🌐 Work Environment

Office Type: Hybrid work model. This suggests a blend of remote work and in-office collaboration, offering flexibility while maintaining team cohesion and in-person interaction.

Office Location(s): São Paulo, SP, Brazil. This is a major business hub, providing access to a vibrant professional community and amenities.

Workspace Context:

• The hybrid model likely includes modern office spaces designed to foster collaboration, with meeting rooms, breakout areas, and potentially dedicated design studios.

• Access to up-to-date technology and software, including Figma and various AI tools, will be standard.

• The "dress code flexível ('Vista-se de você!')" indicates a culture that values individuality and comfort, promoting a relaxed yet professional atmosphere.

• Expect a dynamic environment where innovation is encouraged, with opportunities for spontaneous brainstorming and knowledge sharing.

Work Schedule: A standard full-time schedule (approx. 40 hours/week) is expected, with the hybrid arrangement allowing for flexibility in balancing remote and in-office days.

📝 Enhancement Note: The hybrid and flexible dress code point to a modern, employee-centric work environment within a large, established organization. This balance of structure and flexibility is often attractive to experienced professionals.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A review of your resume and portfolio by the recruitment team to assess alignment with core requirements.

• Hiring Manager Interview: Discussion focused on your experience, design philosophy, understanding of AI in design, and suitability for the role and team.

• Technical/Portfolio Review: A deep dive into your portfolio, potentially including a presentation of a key project. This stage will assess your design process, problem-solving skills, and proficiency with tools like Figma. Expect questions about your experience with AI integration and user research.

• Cross-functional/Team Interview: Interaction with potential colleagues from Product, Technology, and AI teams to evaluate collaboration skills, communication style, and cultural fit. This may involve a design challenge or case study.

• Final Interview: Potentially with a senior leader to discuss strategic alignment and long-term vision.

Portfolio Review Tips:

• Curate Strategically: Select projects that best showcase your end-to-end product design process, with a strong emphasis on user-centricity and business impact. Include at least one project that demonstrates your experience with AI or innovative technologies.

• Tell a Story: For each project, clearly articulate the problem, your role, the methodologies used (especially research and validation), your design decisions (and the rationale behind them), and the measurable outcomes. Use visuals effectively to illustrate your process and solutions.

• Highlight AI Integration: If possible, showcase how you've leveraged AI in your design process or designed for AI-powered features. Explain the challenges and opportunities encountered.

• Demonstrate Figma Proficiency: Be ready to walk through your Figma files, showcasing your ability to create complex prototypes, design systems, and maintain design consistency.

• Focus on Impact: Quantify your achievements whenever possible (e.g., increased conversion rates, improved user satisfaction scores, reduced task completion time).

Challenge Preparation:

• Design Challenge: Be prepared for a practical design challenge, either take-home or live. This will likely involve a problem statement related to B3's business or a general product design scenario. Focus on your process, ideation, and justification of your solutions.

• AI Integration Scenario: Anticipate questions or a challenge related to applying AI to a specific problem or enhancing an existing product with AI capabilities. Demonstrate your understanding of Generative AI, prompt engineering, and user experience for AI-powered features.

• Presentation Skills: Practice presenting your portfolio and any case studies concisely and engagingly. Be ready to answer questions about your decision-making process and how you handle feedback.

📝 Enhancement Note: The interview process will heavily scrutinize both traditional product design skills and the candidate's aptitude and experience with AI integration. A strong, well-articulated portfolio that highlights AI-related work will be crucial for success.

🛠 Tools & Technology Stack

Primary Tools:

• Figma: The core tool for wireframing, prototyping, and high-fidelity UI design. Proficiency is mandatory.

• AI Design Tools: Expect to use and explore various AI tools for research acceleration, ideation, content generation, and potentially rapid prototyping (e.g., Cursor, GitHub Copilot, Lovable, Bolt, V0, or similar).

• Prototyping Tools: Figma's built-in prototyping capabilities, potentially supplemented by specialized tools if needed.

Analytics & Reporting:

• Product Analytics Platforms: Tools like Google Analytics, Amplitude, Mixpanel, or similar for tracking user behavior and product performance.

• Data Visualization Tools: Potentially Tableau, Power BI, or internal dashboards for analyzing user data and presenting insights.

• A/B Testing Platforms: For experimentation and validation of design hypotheses.

CRM & Automation:

• CRM Systems: While not directly a design tool, understanding how design impacts CRM data and workflows is beneficial.

• Project Management Tools: Jira, Asana, Trello, or similar for managing design tasks and collaborating with development teams.

• Collaboration Platforms: Slack, Microsoft Teams for daily communication.

📝 Enhancement Note: The emphasis on Figma is clear. The inclusion of specific AI tools like Cursor and GitHub Copilot in the preferred skills suggests a strong interest from B3 in candidates who are already experimenting with or proficient in using AI to augment their design workflow.

👥 Team Culture & Values

Operations Values:

• User-Centricity: A deep commitment to understanding and solving user problems through thoughtful design.

• Innovation & Experimentation: Encouragement to explore new technologies, especially AI, and to test hypotheses through rapid iteration.

• Collaboration & Transparency: Working closely with diverse teams, sharing insights, and fostering an open feedback environment.

• Data-Driven Decision Making: Utilizing data and metrics to inform design choices and measure impact.

• Excellence & Quality: Maintaining high standards in design execution, accessibility, and user experience.

Collaboration Style:

• Cross-functional Synergy: A proactive approach to working with Product Managers, Engineers, Data Scientists, and AI specialists to ensure cohesive product development.

• Iterative Feedback Loops: Regular check-ins and reviews to gather feedback and refine designs based on input from various stakeholders.

• Knowledge Sharing: An environment that encourages sharing best practices, learnings from AI experiments, and design insights across teams.

📝 Enhancement Note: B3's "Top Employer" status and awards suggest a culture that values its employees, promotes diversity and inclusion, and fosters a professional yet adaptable work environment. The integration of AI points to a forward-looking and innovative culture.

⚡ Challenges & Growth Opportunities

Challenges:

• Integrating AI Seamlessly: Designing intuitive and ethical user experiences for AI-powered features, especially Generative AI, can be complex. This involves managing user expectations, handling AI errors gracefully, and ensuring transparency.

• Rapid Technological Evolution: The AI landscape is changing rapidly. Staying current with new AI tools, techniques, and ethical considerations will be an ongoing challenge.

• Balancing Innovation with Stability: In a financial infrastructure company, balancing cutting-edge AI innovation with the critical need for stability, security, and regulatory compliance requires careful design and validation.

• Cross-Disciplinary Communication: Effectively communicating complex AI concepts and design implications to non-technical stakeholders and vice-versa.

Learning & Development Opportunities:

• AI Specialization: Deepen expertise in AI product design, prompt engineering, and ethical AI implementation.

• Product Management Acumen: Develop a stronger understanding of product strategy, roadmapping, and business metrics through collaboration with Product Managers.

• Advanced Design Techniques: Explore new design tools, methodologies, and research techniques, particularly those enhanced by AI.

• Industry Exposure: Gain insights into the financial technology sector and the unique challenges and opportunities within market infrastructure.

• Leadership Development: Opportunities to mentor junior designers and contribute to the strategic direction of product design at B3.

📝 Enhancement Note: The challenges are largely centered around the novel aspects of designing with AI, while the growth opportunities focus on leveraging this role as a stepping stone to becoming a leader in AI-driven product design within a prominent financial institution.

💡 Interview Preparation

Strategy Questions:

• "Describe a time you used user research to solve a complex product problem. What was your process, and what was the outcome?" (Focus on methodology, user insights, and impact.)

• "How would you approach designing a user experience for a generative AI feature that assists users with financial data analysis? What are the key considerations?" (Test understanding of AI UX, prompt engineering, and financial context.)

• "Walk us through a challenging design project in your portfolio. What was the biggest obstacle, and how did you overcome it?" (Assess problem-solving, resilience, and design decision-making.)

• "How do you stay updated with the latest trends in Product Design and Artificial Intelligence?" (Gauge commitment to continuous learning.) Company & Culture Questions:

• "What interests you about B3, and why this role specifically?" (Showcase research into B3's mission, industry, and your alignment with the AI focus.)

• "How do you approach collaboration with engineers, product managers, and data scientists?" (Highlight your teamwork and communication skills.)

• "Describe a situation where you had to advocate for a design decision that was met with resistance. How did you handle it?" (Assess influencing and negotiation skills.)

• "How do you ensure your designs are accessible and inclusive?" (Demonstrate awareness of WCAG and ethical design practices.) Portfolio Presentation Strategy:

• Structure Your Narrative: For each project, clearly define the problem, your specific role and contributions, the design process (emphasizing discovery, ideation, prototyping, and validation, especially with AI), key decisions, and measurable results.

• Highlight AI Integration: If you have projects involving AI, make them prominent. Explain how you approached designing for AI and what you learned. If not, be prepared to discuss how you would approach it for a relevant scenario.

• Show, Don't Just Tell: Use visuals effectively. Walk through your Figma prototypes, user flows, and wireframes. Explain your design choices verbally.

• Quantify Impact: Whenever possible, present metrics that demonstrate the success of your designs (e.g., conversion rates, user satisfaction, task completion time, engagement metrics).

• Be Prepared for Deep Dives: Anticipate detailed questions about your process, rationale, and the technical aspects of your designs.

📝 Enhancement Note: Preparation should focus on articulating a strong design process, demonstrating adaptability to new technologies like AI, and showcasing the ability to drive business value through user-centered design. Understanding B3's context as a financial infrastructure provider will be beneficial.

📌 Application Steps

To apply for this operations position:

• Submit your application through the B3 careers portal link provided in the job posting.

• Tailor Your Resume: Highlight experience in Product Design, UX Design, Figma, user research, and any relevant AI exposure or projects. Use keywords from the job description naturally. Quantify achievements where possible.

• Curate Your Portfolio: Ensure your portfolio is up-to-date, professionally presented, and showcases your best work, with a specific emphasis on projects demonstrating your design process, problem-solving abilities, and ideally, experience with AI or innovative technologies.

• Prepare Your Narrative: Practice presenting your portfolio projects concisely, focusing on your role, process, decisions, and impact. Be ready to discuss your approach to AI integration in design.

• Research B3: Understand B3's role in the financial market, its mission, values, and recent innovations, particularly in AI. This will help you tailor your answers 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.