Product Designer - Jus IA [Vaga afirmativa para PCD]

📍 Job Overview

Job Title: Product Designer - Jus IA [Affirmative Action Position for People with Disabilities]

Company: Jusbrasil

Location: Remote

Job Type: Full-time

Category: Product Design / AI Experience Design

Date Posted: May 15, 2026

Experience Level: Senior (5-10 years)

Remote Status: Fully Remote (with preference for candidates in Brazil)

🚀 Role Summary

• Design end-to-end user experiences for AI-driven products, focusing on the orchestration of AI agents and complex workflows.

• Leverage Generative AI and LLMs to enhance user interactions, reduce perceived latency, and optimize complex processes like document processing and response generation.

• Drive continuous experimentation and data-driven design to validate user experience hypotheses and improve product performance.

• Collaborate closely with Engineering and Product teams to integrate user experience with technical capabilities and system architecture.

• Utilize AI tools extensively within the design process for rapid prototyping, ideation, and solution development.

📝 Enhancement Note: The role is explicitly for a "Product Designer - Jus IA" and emphasizes "AI-first" and "Generative AI." This indicates a strong focus on designing user experiences for AI-powered products, moving beyond traditional UI/UX to encompass complex AI interactions, system orchestration, and perceived performance optimization. The "Vaga afirmativa para PCD" (Affirmative Action Position for People with Disabilities) is a critical inclusion for diversity and inclusion. The "Remote OK" and "Brazil" location preference suggest a distributed team structure with a focus on the Brazilian market.

📈 Primary Responsibilities

• Design end-to-end user experiences and journeys, considering interaction, system behavior, and product decisions beyond the visual interface.

• Orchestrate user experiences with AI, designing how and when the system interacts with the user, managing response times, anticipating content, and utilizing multiple AI agents.

• Optimize perceived performance by addressing user waiting times, anxiety, and abandonment, proposing solutions that balance speed and quality.

• Conduct continuous experimentation through tests and prototypes to validate user experience hypotheses, particularly in critical flows like document upload and response generation.

• Integrate user experience design with technical systems by working closely with engineering to understand limitations and opportunities in architecture, models, performance, and response validation.

• Utilize AI in the design process for prototyping, ideation, and solution construction, reducing reliance on traditional tools and accelerating development cycles.

• Collaborate with cross-functional teams, including Product Managers, Engineers, and Data Scientists, to ensure a cohesive and effective product strategy.

• Contribute to the definition and refinement of product roadmaps through a user-centered and AI-informed perspective.

• Translate complex technical concepts and AI capabilities into intuitive and user-friendly experiences.

📝 Enhancement Note: The responsibilities are heavily weighted towards designing complex AI interactions, emphasizing "end-to-end experience," "orchestration of AI agents," and "perceived performance optimization." This suggests a senior role requiring a deep understanding of how AI systems function and how to translate that into a seamless user journey, rather than just visual design. The emphasis on "using AI in the design process" highlights a forward-thinking approach to design tooling and methodology.

🎓 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. Equivalent practical experience will also be considered.

Experience: 5-10 years of progressive experience in Product Design, Service Design, or UX Design, with a proven track record of designing complex digital products and services.

Required Skills:

• Product/Service Design: Solid experience in designing complex journeys and systemic thinking, with a portfolio showcasing end-to-end product development.

• AI in Product Experience: Practical experience designing for or working with products that utilize Artificial Intelligence, Machine Learning, or data-driven systems.

• AI Fluency (Intermediate+): Demonstrated ability to use AI tools daily to build solutions, prototypes, and flows, going beyond basic prompt usage.

• Problem-Oriented Thinking: Capability to tackle open-ended and ambiguous problems, connecting user experience with product logic and business objectives.

• Technical Collaboration: Comfort and proficiency in working alongside engineering teams, understanding concepts like system performance, data processing, and AI orchestration.

• Autonomy and Maturity: Ability to thrive in a highly senior environment with minimal structure and a high degree of complexity, demonstrating self-direction and initiative.

• Systemic Thinking: Ability to understand and design for interconnected systems and complex user flows that involve multiple AI agents and decision points.

Preferred Skills:

• Generative AI Design Experience: Specific experience with products based on Large Language Models (LLMs), chat interfaces, or intelligent agents.

• Data/ML Products Background: Experience with data-oriented or machine learning products, understanding their unique design challenges.

• Service Design Skills: Ability to structure experiences beyond the interface, connecting multiple touchpoints in the user journey.

• Experimentation and Metrics: Familiarity with A/B testing, user behavior analysis, and conversion optimization techniques to drive product improvements.

• AI-Accelerated Execution: Advanced use of AI tools to accelerate discovery, prototyping, and delivery phases of the design process.

• Understanding of Legal Tech: Familiarity with the legal technology landscape and its specific user needs and challenges.

📝 Enhancement Note: The "AI Fluency (Intermediate+)" requirement is a significant differentiator, indicating that candidates are expected to be hands-on users of AI in their design workflow, not just conceptual thinkers. The preference for candidates in Brazil aligns with the company's primary market and operational base. The explicit mention of "AI Agents" and "LLMs" points towards specific areas of focus within AI product design.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• End-to-End Product Design Case Studies: Showcase at least 2-3 detailed case studies demonstrating your process from problem definition to final solution, with a strong emphasis on complex user journeys and AI integration.

• AI-Driven Product Examples: Include examples of products or features you've designed that directly leverage AI, Machine Learning, or Generative AI. Clearly articulate the problem, your approach, and the impact.

• Systemic Thinking Demonstrations: Present how you've mapped complex systems, user flows, and interactions, especially those involving multiple agents or dynamic data.

• Prototyping and Experimentation: Showcase your prototyping skills (e.g., interactive mockups, functional prototypes) and provide evidence of how you've used them for user testing and validation, ideally with A/B test results or experimental outcomes.

• AI Tool Usage: Briefly describe or demonstrate how you've integrated AI tools into your design process (e.g., for ideation, content generation, rapid prototyping).

Process Documentation:

• Problem Definition & User Research: Clearly outline your process for understanding user needs, business goals, and technical constraints in the context of AI products.

• Design Methodology: Detail your approach to designing complex AI interactions, including user flows, information architecture, and interaction design strategies.

• Collaboration & Feedback Loops: Explain how you collaborate with engineering, product, and other stakeholders, and how you incorporate feedback into your designs.

• Iteration and Optimization: Demonstrate your process for iterating on designs based on user feedback, performance metrics, and evolving AI capabilities.

📝 Enhancement Note: For a role focused on AI and complex systems, the portfolio must go beyond visual mockups. It needs to demonstrate an understanding of system logic, AI capabilities, and a systematic approach to designing for ambiguity and dynamic interactions. The emphasis on "AI-driven product examples" and "AI tool usage" is crucial for this specific role.

💵 Compensation & Benefits

Salary Range: While not explicitly provided, for a Senior Product Designer with 5-10 years of experience in Brazil, particularly in a remote, AI-focused tech company, the estimated salary range would typically be between R$10,000 to R$18,000 BRL per month. This range can vary based on specific experience, negotiation, and the company's compensation philosophy.

Benefits:

• Comprehensive Health & Dental Insurance: Coverage for medical and dental needs.

• Life Insurance: Financial protection for your beneficiaries.

• Meal/Food Vouchers (VR/VA): Benefits that can be used at various establishments for food and groceries.

• Flexible Work Hours: Ability to manage your schedule around core working hours, accommodating personal needs.

• Professional Development Budget: Allowance for courses, conferences, and certifications to support skill enhancement in areas like AI, design, and product management.

• Remote Work Stipend: Potential support for home office setup and internet costs.

• Employee Assistance Program (EAP): Support services for mental, financial, and legal well-being.

• Inclusive Workplace Initiatives: Strong commitment to diversity and inclusion, with specific programs and support for people with disabilities.

Working Hours: 40 hours per week, with flexibility in scheduling to accommodate different time zones and personal commitments, while ensuring core collaboration hours are met.

📝 Enhancement Note: Based on the company's description of being a large tech company ("+ de 500 colaboradores," "+ de 30 m de usuários") and operating in Brazil, standard Brazilian benefits for full-time employees are assumed. The salary estimate is based on industry benchmarks for senior design roles in tech in Brazil, considering the remote and AI specialization. The "affirmative action for PCD" implies a strong focus on inclusive benefits and support systems.

🎯 Team & Company Context

🏢 Company Culture

Industry: Legal Tech / AI-first Technology. Jusbrasil is a pioneer in transforming Brazil's justice system through technology, with a strong emphasis on AI and massive data processing.

Company Size: 500+ employees. This indicates a mature organization with established processes but still agile enough to foster innovation, especially in its AI initiatives.

Founded: Jusbrasil was founded with a mission to improve access to justice, growing significantly to become a major player in the legal tech space. This history suggests a culture driven by purpose and impact.

Team Structure:

• Jus IA Core Team: The role is within the "Core Jus IA" team, implying a dedicated group focused on the foundational AI technologies and products of the company.

• Cross-Functional Collaboration: Expect close collaboration with Engineering (AI/ML engineers, backend developers), Product Management, Data Science, and potentially Legal experts.

• Senior-Led Environment: The presence of numerous senior professionals suggests a culture of high expectations, autonomy, and deep expertise.

Methodology:

• AI-First Approach: All development and product strategies are heavily influenced by AI capabilities and potential.

• Data-Driven Decision Making: Extensive use of data (petabytes of legal documents, billions of documents) to inform product development and strategic choices.

• Agile & Iterative Development: While not explicitly stated, the nature of tech product development and AI innovation usually implies agile methodologies, rapid prototyping, and continuous iteration.

• Focus on Scale and Precision: The company tackles challenges of massive scale, accuracy, and relevance, requiring robust processes and high-quality execution.

Company Website: https://jusbrasil.com.br/

📝 Enhancement Note: The company description highlights a strong "AI-first" identity, a mission-driven culture focused on improving the justice system, and significant scale ("petabytes of data," "billions of documents"). The team structure implies a highly collaborative and senior environment.

📈 Career & Growth Analysis

Operations Career Level: Senior Product Designer. This role is positioned as a key contributor with significant autonomy and influence over product direction, particularly in the nascent field of AI product design within the legal sector. It's a strategic role that requires both deep design expertise and a forward-thinking approach to AI.

Reporting Structure: The role reports into the Core Jus IA team, likely to a Product Design Lead or Head of Product/Design within that specific AI division. The emphasis on autonomy suggests direct interaction with senior leadership and cross-functional peers rather than a highly hierarchical structure.

Operations Impact: The Product Designer will have a direct impact on the usability, efficiency, and adoption of Jusbrasil's AI products. By designing intuitive and effective AI interactions, they will contribute to improving access to justice, enhancing user trust in AI-driven legal solutions, and driving the company's AI-first strategy forward. Their work directly influences how users perceive and interact with cutting-edge AI technology in a critical domain.

Growth Opportunities:

• Specialization in AI Experience Design: Deepen expertise in designing for Generative AI, LLMs, and complex AI agent orchestration, becoming a go-to expert in this niche.

• Leadership in AI Product Development: Grow into a lead or principal designer role, shaping the AI product vision and mentoring junior designers.

• Cross-Functional Skill Development: Gain deeper insights into AI/ML technologies, product strategy, and data science through close collaboration.

• Contribution to Legal Tech Innovation: Play a pivotal role in shaping the future of legal technology through innovative AI-powered solutions.

• Exposure to Large-Scale Data Challenges: Work with massive datasets and complex infrastructure, providing unique learning opportunities in a real-world, high-impact environment.

📝 Enhancement Note: The growth opportunities are framed around specialization in AI design, leadership within the AI product domain, and contributing to significant technological innovation in the legal tech space. The "senior" designation implies a path towards principal or lead roles.

🌐 Work Environment

Office Type: Fully Remote. This offers significant flexibility in terms of location, with a preference for candidates within Brazil. The company aims to foster a connected remote culture.

Office Location(s): While the role is remote, Jusbrasil has a widespread presence across over 40 cities in Brazil and abroad, suggesting a strong distributed workforce model. Candidates in Brazil are preferred to align with the company's primary operational base and market.

Workspace Context:

• Collaborative Remote Culture: Expect a strong emphasis on virtual collaboration tools, regular video conferencing, and asynchronous communication methods to maintain team cohesion and productivity.

• Access to Advanced Tools: The team likely utilizes a robust suite of design, prototyping, and AI tools, with an expectation for designers to leverage AI for their workflow.

• High-Talent Density: Working alongside highly skilled professionals in a senior-led environment fosters continuous learning and exposure to best practices in AI and product design.

• Mission-Oriented Environment: The company's mission to improve access to justice creates a purposeful work environment where contributions are linked to significant societal impact.

Work Schedule: 40 hours per week, with a high degree of flexibility. While core collaboration hours will be expected, individuals can largely manage their daily schedule to balance personal needs with project deadlines and team synchronization requirements.

📝 Enhancement Note: The remote nature of the role is a key aspect, with an emphasis on tools and practices that support effective remote collaboration. The preference for Brazilian candidates likely relates to time zone alignment, cultural understanding of the local market, and potential for future hybrid opportunities if desired.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A brief call with Talent Acquisition to assess basic qualifications, cultural fit, and understanding of the role's AI focus.

• Portfolio Presentation & Design Challenge: A deep dive into your portfolio with the hiring manager and/or design lead. This will likely include discussing your case studies, your approach to AI in design, and potentially a small, focused design exercise or problem-solving scenario related to AI interactions.

• Technical & Collaboration Interviews: Interviews with engineering and product team members to assess your technical understanding, collaboration skills, and ability to work within a complex system.

• Final Round Interview: A discussion with senior leadership to evaluate strategic thinking, alignment with company values, and overall fit for the role and Jusbrasil's AI-first mission.

Portfolio Review Tips:

• Highlight AI Integration: Clearly articulate your role and contributions in designing AI-powered features or products. Show, don't just tell, how you've used AI in your design process or for the end-user.

• Showcase End-to-End Thinking: Present at least one comprehensive case study that demonstrates your ability to manage a design from discovery through to implementation, focusing on complex user journeys and AI orchestration.

• Demonstrate Problem-Solving: For each case study, clearly define the problem, your hypothesis, the design solutions you explored, and the quantifiable outcomes or learnings.

• Emphasize Technical Collaboration: Include examples of how you've worked with engineers and understood technical constraints or opportunities, especially concerning AI system capabilities.

• AI Tool Proficiency: Be prepared to discuss the AI tools you use and how they accelerate your design workflow, prototype development, or problem-solving.

Challenge Preparation:

• AI Interaction Design: Be prepared for a design challenge that involves conceptualizing or refining an interaction for an AI system (e.g., a generative AI assistant, an AI-powered document analysis tool). Focus on user needs, AI capabilities, and potential pitfalls.

• Systemic Thinking: Practice breaking down complex problems into smaller, manageable components and visualizing how different parts of a system interact.

• Data Interpretation: Understand how to interpret basic metrics and user feedback to inform design decisions, especially in the context of AI performance and user satisfaction.

• "AI-first" Mindset: Think about how AI can fundamentally change user experiences, not just augment existing ones. Consider edge cases, ethical implications, and the balance between AI capabilities and user control.

📝 Enhancement Note: The interview process is structured to assess not only design skills but also a deep understanding and practical application of AI in product development. The portfolio review and challenges will heavily focus on AI integration, systemic thinking, and collaboration with technical teams.

🛠 Tools & Technology Stack

Primary Tools:

• Design & Prototyping: Figma, Sketch, Adobe Creative Suite (Illustrator, Photoshop), InVision, Principle.

• AI for Design: Expect to leverage tools for AI-assisted ideation, content generation, prompt engineering, and rapid prototyping (e.g., ChatGPT, Midjourney, specialized AI design plugins).

• User Research & Testing: Tools for user interviews, usability testing, surveys, and analytics platforms.

Analytics & Reporting:

• Product Analytics: Tools like Google Analytics, Amplitude, Mixpanel, or similar platforms to track user behavior, feature adoption, and conversion rates.

• Data Visualization: Tools like Tableau, Power BI, or Looker for analyzing and presenting data insights.

CRM & Automation:

• Collaboration Tools: Slack, Microsoft Teams for daily communication and team coordination.

• Project Management: Jira, Asana, Trello, or similar for task management and workflow tracking.

• Documentation: Confluence, Notion, or similar for knowledge sharing and process documentation.

📝 Enhancement Note: The technology stack emphasizes modern design tools and a strong integration of AI tools into the design workflow. Proficiency with analytics and collaboration platforms is also crucial for a remote, data-driven team.

👥 Team Culture & Values

Operations Values:

• Purpose-Driven Impact: A strong commitment to improving access to justice and making a tangible difference in society through technology.

• Deep Mastery & Excellence: Valuing individuals who pursue profound understanding, act with clarity of purpose, and deliver consistent, high-quality work.

• Autonomy & Ownership: Empowering individuals to take ownership of their work, operate with independence, and drive initiatives forward.

• Intense Focus & Energy: A culture that thrives on tackling significant challenges with dedication, focus, and a proactive approach.

• Data-Driven and AI-First: Decisions are informed by data, and AI is seen as a core enabler of innovation and product development.

Collaboration Style:

• High-Talent, Senior-Led: Expect to collaborate with highly experienced professionals who value deep discussions and well-reasoned arguments.

• Cross-Functional Synergy: Strong emphasis on seamless collaboration between design, engineering, and product to achieve shared goals.

• Remote-First Communication: Reliance on clear, concise, and effective asynchronous and synchronous communication methods to bridge geographical distances.

• Iterative Feedback: A culture that encourages constructive feedback and continuous improvement through open dialogue.

📝 Enhancement Note: The company culture is deeply rooted in its mission, a pursuit of excellence, and a hands-on, AI-centric approach. Collaboration is key, especially in a remote, senior-heavy environment.

⚡ Challenges & Growth Opportunities

Challenges:

• Designing for AI Ambiguity: Navigating the inherent uncertainties and complexities of AI models (e.g., LLM hallucinations, bias, unpredictable outputs) to create reliable user experiences.

• Balancing Performance and Quality: Optimizing for speed and responsiveness in AI-driven interactions without sacrificing the accuracy or relevance of the output.

• Integrating AI into Existing Workflows: Seamlessly embedding AI capabilities into user journeys without disrupting established user habits or introducing unnecessary complexity.

• Rapidly Evolving AI Landscape: Staying abreast of the fast-paced advancements in AI technology and adapting design strategies accordingly.

• Ensuring Ethical AI Design: Designing AI systems that are fair, transparent, and responsible, particularly within the sensitive context of the legal system.

Learning & Development Opportunities:

• Deep Dive into Generative AI & LLMs: Gain hands-on experience and expertise in designing for cutting-edge generative AI technologies.

• Advanced AI Product Strategy: Contribute to defining the strategic direction of AI products within a leading legal tech company.

• Cross-Disciplinary Skill Building: Learn from AI/ML engineers, data scientists, and product leaders to broaden technical and strategic understanding.

• Industry Leadership in Legal Tech AI: Become a recognized expert in applying AI to complex domains like the legal system.

• Mentorship and Knowledge Sharing: Participate in a culture that values sharing knowledge and providing mentorship to peers.

📝 Enhancement Note: The challenges are directly tied to the cutting edge of AI product design, requiring adaptability and a proactive approach to problem-solving. The growth opportunities focus on specialization and leadership in a high-impact, emerging field.

💡 Interview Preparation

Strategy Questions:

• "Describe a complex user journey you've designed where AI played a significant role. What were the key challenges and how did you address them?" (Focus on end-to-end design, AI integration, and problem-solving.)

• "How would you approach designing an AI agent that assists users in processing and summarizing large volumes of legal documents? What are the critical user needs and potential AI pitfalls?" (Tests understanding of AI capabilities, user needs, and systemic design.)

Company & Culture Questions:

• "What attracts you to Jusbrasil's mission of improving access to justice through AI?" (Assesses alignment with company purpose and values.)

• "How do you see AI transforming the legal industry, and what role do you believe design plays in that transformation?" (Tests strategic thinking and industry insight.)

Portfolio Presentation Strategy:

• Structure AI Case Studies: For each AI-related case study, clearly define the problem, the AI approach, your specific design contributions, the tools used (including AI tools), and the measurable outcomes or learnings.

• Demonstrate Systemic Thinking: Use diagrams or flowcharts to visually represent complex user journeys and AI system interactions.

• Quantify Impact: Where possible, present metrics that demonstrate the success of your designs (e.g., improvements in user satisfaction, task completion rates, efficiency gains).

• Highlight AI Tool Usage: Briefly explain how AI tools expedited your design process or enabled novel solutions.

• Focus on End-to-End Process: Walk through your design thinking from initial problem definition to final solution, emphasizing your strategic contributions at each stage.

📝 Enhancement Note: Interview preparation should focus on articulating a strong understanding of AI product design principles, demonstrating practical application of AI in design, and showcasing strategic thinking in problem-solving and collaboration within a tech-forward, mission-driven company.

📌 Application Steps

To apply for this operations position:

• Submit your application through the provided Greenhouse link.

• Portfolio Customization: Tailor your portfolio to highlight your most relevant AI product design projects, emphasizing end-to-end journeys, systemic thinking, and your practical use of AI tools. Prepare to discuss 2-3 key case studies in detail.

• Resume Optimization: Ensure your resume clearly articulates your experience in Product Design, Service Design, and specifically with AI-driven products. Use keywords such as "Generative AI," "LLMs," "AI Agents," "Systemic Thinking," "Prototyping," and "Data-Driven Design."

• Interview Preparation: Practice articulating your design process, especially how you approach complex AI interactions, problem-solving, and collaboration with technical teams. Prepare thoughtful questions about Jusbrasil's AI strategy and culture.

• Company Research: Familiarize yourself with Jusbrasil's mission, its AI-first approach, and recent developments in legal tech. Understand the company's commitment to diversity and inclusion, particularly for people with disabilities.

⚠️ 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.

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