Product Designer - Jus IA

📍 Job Overview

Job Title: Product Designer - Jus IA

Company: Jusbrasil

Location: Remote (Brazil)

Job Type: Full-time

Category: Product Design / AI Product Development

Date Posted: May 04, 2026

Experience Level: Senior (5-10 years)

Remote Status: Fully Remote

🚀 Role Summary

• Design end-to-end user experiences and journeys specifically for AI-driven systems, focusing on the orchestration of multiple AI agents and complex interactions.

• Act as a strategic bridge between AI system orchestration and user experience, considering not just visual interfaces but also flows, behaviors, and AI-driven decisions.

• Optimize perceived performance and user engagement in complex scenarios such as response generation and document processing, balancing speed and quality.

• Leverage AI tools extensively for prototyping, ideation, and solution building, integrating AI as a core component of the design process and experimentation.

📝 Enhancement Note: This role is positioned as a Senior Product Designer with a strong emphasis on AI integration, particularly Generative AI and the orchestration of AI agents. The "Jus IA" designation and the description of handling "petabytes of data" and "billions of documents" indicate a focus on large-scale AI applications within the legal tech domain. The remote aspect is explicitly tied to Brazil, suggesting a need for candidates familiar with or willing to work within Brazilian time zones and potentially regulatory environments.

📈 Primary Responsibilities

• Design End-to-End Experiences: Craft comprehensive user journeys that encompass interaction design, system behavior, and product decisions, extending beyond traditional interface design to encompass the entire user lifecycle with AI products.

• Orchestrate AI-Powered Experiences: Strategically design how and when the Jusbrasil AI system interacts with users, considering response times, proactive content delivery, and the seamless integration of multiple AI agents to create a cohesive user experience.

• Optimize Perceived Performance: Address user experience challenges related to wait times, user anxiety, and potential abandonment by proposing and implementing solutions that effectively balance system processing speed with the quality and relevance of AI-generated outputs.

• Drive Continuous Experimentation: Lead and conduct user testing, prototyping, and A/B experiments to validate experience hypotheses, particularly within critical user flows such as document uploading, information processing, and response generation.

• Integrate with Technical Systems: Collaborate closely with engineering teams to gain a deep understanding of architectural limitations and opportunities, including AI model capabilities, system performance metrics, and response validation mechanisms.

• Utilize AI in Design Workflow: Actively employ AI tools for rapid prototyping, ideation, and the construction of design solutions, aiming to reduce reliance on conventional design software and accelerate the design-test-iterate cycle.

• Ensure Consistency and Efficiency: Work within the Core Jus IA team to guarantee that user experiences are consistent, efficient, and fully aligned with the technical capabilities and strategic goals of the AI system.

📝 Enhancement Note: The responsibilities highlight a blend of traditional UX/Product Design with a strong focus on AI-specific challenges. The emphasis on "orchestration of multiple agents," "perceived performance," and "integrating with technical systems" points to a need for designers who can think systemically and understand the underlying AI mechanics. The requirement to "utilize AI in the design process" is a critical differentiator, suggesting an expectation for hands-on experience with AI tools beyond basic prompt engineering.

🎓 Skills & Qualifications

Education: While no specific degree is mandated, a strong portfolio demonstrating mastery of design principles and practical application in complex, data-intensive, or AI-driven environments is paramount. Candidates with degrees in Design, Human-Computer Interaction, Computer Science, or related fields may possess foundational knowledge.

Experience: A minimum of 5-10 years of progressive experience in Product Design or Service Design roles, with a significant portion dedicated to working with AI-powered products or complex digital systems.

Required Skills:

• Product/Service Design: Demonstrated expertise in designing complex user journeys and a strong foundation in systemic thinking to understand interconnected product components.

• AI in Product Experience: Proven practical experience designing or actively working with products that leverage Artificial Intelligence, Machine Learning, or data-driven systems.

• AI Fluency (Intermediate+): Capability to utilize AI tools effectively in daily work for building solutions and prototypes, going beyond basic prompt usage to integrate AI as a core operational tool.

• Problem-Oriented Thinking: Ability to tackle open-ended and ambiguous problems by connecting user needs with product logic and technical feasibility.

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

• Autonomy and Maturity: Demonstrated ability to operate independently and effectively within a highly senior team environment characterized by complexity and limited predefined structures.

Preferred Skills:

• Generative AI Design Experience: Specific hands-on experience designing for products based on Large Language Models (LLMs), conversational interfaces, or intelligent agent systems.

• Data/ML Products Background: Prior experience working with data-centric products or machine learning-focused applications.

• Service Design Capabilities: Ability to structure and design experiences that span multiple touchpoints beyond the digital interface, connecting various elements of the user journey.

• Experimentation and Metrics: Familiarity with A/B testing methodologies, user behavior analysis, and conversion optimization techniques.

• AI-Accelerated Execution: Advanced proficiency in using AI tools to expedite discovery, prototyping, and delivery phases of the design process.

📝 Enhancement Note: The "AI Fluency (Intermediate+)" requirement is crucial, indicating that candidates are expected to be active users and integrators of AI in their design workflow, not just conceptualizers. The distinction between mandatory and preferred skills clearly delineates core expectations from advantageous proficiencies, particularly highlighting experience with Generative AI and LLMs as a strong differentiator.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Demonstrate End-to-End Design: Showcase at least one significant project detailing the design of a complex user journey from initial concept through to implementation, highlighting your role in addressing user needs and business objectives.

• Illustrate AI Integration: Feature case studies where AI or machine learning was a core component of the product experience. Clearly articulate the design challenges posed by AI and how you approached them.

• Showcase Systemic Thinking: Provide examples of how you've considered the broader system, including technical constraints, data flows, and how different AI agents or components interact to deliver the user experience.

• Highlight AI Tool Usage: Include specific examples or a dedicated section demonstrating how you've used AI tools within your design process for prototyping, ideation, or solution development, detailing the tools and the impact on your workflow.

Process Documentation:

• Workflow Design and Optimization: Present examples of how you've mapped, analyzed, and optimized complex workflows, particularly those involving AI-driven processes or multi-stage user interactions.

• Implementation and Automation: Detail instances where your design work facilitated or was directly integrated with automated processes or AI-driven system logic, explaining the technical considerations.

• Measurement and Performance Analysis: Showcase how you've defined key performance indicators (KPIs) for user experience, particularly for AI products, and how you've used data and metrics to measure success and iterate on designs.

📝 Enhancement Note: The portfolio requirements are heavily weighted towards demonstrating practical experience with AI in design. Candidates must be prepared to show not just beautiful interfaces but also how they've tackled the unique challenges of designing for AI, including system orchestration, performance optimization, and the use of AI tools within the design process itself. This goes beyond a typical UX portfolio to require evidence of AI fluency and systemic design thinking.

💵 Compensation & Benefits

Salary Range: Given the "Senior" experience level (5-10 years), the "Remote (Brazil)" location, and the specialized nature of AI Product Design, the estimated annual salary range for this role in Brazil is between R$150,000 and R$250,000 (Brazilian Real). This range is based on industry benchmarks for senior design roles in tech companies in Brazil, adjusted for the specialized AI focus and remote work flexibility.

Benefits:

• Competitive Salary: A salary package commensurate with senior-level expertise and specialized AI skills.

• Health and Dental Insurance: Comprehensive medical and dental coverage for employees and potentially dependents.

• Life Insurance: Financial protection for employees and their families.

• Meal/Food Vouchers: Stipends to cover food expenses, common in Brazilian employment practices.

• Professional Development: Opportunities for continuous learning, including access to courses, conferences, and training focused on AI, design, and emerging technologies.

• Remote Work Stipend: Potential allowance for home office setup, internet, and utilities to support a productive remote work environment.

• Flexible Work Hours: While a 40-hour work week is standard, there is likely flexibility to accommodate different working styles and core collaboration hours within Brazilian time zones.

Working Hours: Standard full-time work hours, typically around 40 hours per week, with an expectation of flexibility to accommodate collaboration across different regions within Brazil and potentially with international teams, if applicable.

📝 Enhancement Note: The salary estimate is based on typical compensation for senior tech roles in Brazil, with an upward adjustment for the highly sought-after AI Product Design specialization. The benefits listed are common for Brazilian tech companies, with a specific mention of remote work support and professional development tailored to the AI and design fields.

🎯 Team & Company Context

🏢 Company Culture

Industry: Legal Technology (LegalTech), with a strong focus on Artificial Intelligence (AI-first company). Jusbrasil is at the forefront of leveraging cutting-edge AI, including Generative AI and massive datasets, to transform Brazil's justice system. This means the environment is innovative, data-intensive, and focused on solving complex societal problems through technology.

Company Size: 500+ employees. This indicates a mature organization with established processes but still retaining agility and a startup-like drive for innovation. For operations professionals, this size suggests opportunities for structured career paths, cross-functional collaboration, and the potential to influence process improvements within a growing team.

Founded: The founding date is not explicitly stated, but the company's scale and market position suggest it has been operating for a considerable period, allowing for deep domain expertise in the legal sector and robust technological development.

Team Structure:

• Core Jus IA Team: The designer will be part of the "Core Jus IA" team, implying a central group focused on the foundational AI capabilities and infrastructure of the company. This team likely comprises highly specialized individuals, including AI Engineers, Data Scientists, Product Managers, and other senior designers.

• Reporting Structure: Likely reports to a Design Lead, Head of Product, or CTO, within a structure that emphasizes autonomy and direct contribution to core product development.

• Cross-functional Collaboration: Expect close collaboration with Engineering (Software Engineers, AI Engineers), Product Management, and potentially Legal domain experts to ensure AI solutions are technically sound, user-centric, and aligned with legal system requirements.

Methodology:

• AI-First & Data-Driven: Operations and development are heavily influenced by AI capabilities and vast amounts of data. This necessitates a data-informed approach to decision-making and process optimization.

• Agile & Iterative: Given the fast-paced nature of AI development and the company's mission, agile methodologies and continuous experimentation are likely central to how the teams operate, allowing for rapid adaptation and innovation.

• Deep Domain Expertise: A focus on building profound understanding ("domínio profundo") in specific areas, combined with a clarity of purpose and energy to tackle complex challenges with consistency and excellence.

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

📝 Enhancement Note: The company's AI-first approach and its mission to transform the justice system through technology are key cultural drivers. The size and scope indicate a serious player in the legal tech space, offering a challenging yet rewarding environment for operations professionals. The emphasis on "high density of talent" and "deep domain expertise" suggests a culture that values skill and continuous learning.

📈 Career & Growth Analysis

Operations Career Level: This role is designated as "Senior" (5-10 years of experience), indicating a position with significant autonomy, responsibility for complex projects, and the expectation of mentoring junior members. In an operations context, this level often involves strategic input into process design, system implementation, and driving efficiency improvements rather than just execution.

Reporting Structure: The Product Designer will likely report to a Design Lead or Product Manager within the Core Jus IA team. This structure allows for direct collaboration with technical and product leadership, ensuring design decisions are closely aligned with AI capabilities and business objectives. Collaboration will be cross-functional, involving close partnerships with AI Engineers and Product Managers.

Operations Impact: The Product Designer's role has a direct impact on the usability, efficiency, and adoption of Jusbrasil's AI products. By designing effective user experiences for AI-driven systems, they contribute to increasing user engagement, improving the accuracy and relevance of AI outputs, and ultimately enhancing the overall effectiveness and perceived value of Jusbrasil's legal tech solutions. This, in turn, supports the company's mission to transform the justice system.

Growth Opportunities:

• AI Specialization: Deepen expertise in designing for advanced AI technologies, including Generative AI, LLMs, and multi-agent systems, becoming a go-to expert in this niche.

• Leadership Development: Potential to move into a Lead Product Designer role, managing a team, or transitioning into Product Management with a strong focus on AI products.

• Cross-functional Skill Expansion: Gain deeper insights into AI engineering, data science, and product strategy through close collaboration, potentially leading to hybrid roles or specialized product ownership.

• Industry Influence: Contribute to shaping the future of legal technology through innovative AI-driven user experiences, potentially presenting work at industry conferences or contributing to thought leadership.

📝 Enhancement Note: The Senior level implies a significant degree of ownership and strategic input. For operations professionals, this means not just executing tasks but also contributing to the "how" and "why" of processes and system designs, particularly as they relate to AI integration and user adoption. The growth opportunities are clearly aligned with the rapidly evolving field of AI and product development.

🌐 Work Environment

Office Type: Fully Remote. This offers maximum flexibility for employees, eliminating commute times and allowing for a personalized work setup. The company operates with a distributed workforce across Brazil.

Office Location(s): While the role is remote, the company has a significant presence across more than 40 cities in Brazil and internationally. This indicates a distributed operational footprint and a culture that supports remote collaboration.

Workspace Context:

• Collaborative Digital Environment: Expect a heavily digital and asynchronous work environment, relying on collaboration tools like Slack, video conferencing (Zoom, Google Meet), and project management software.

• Access to Advanced Tools: The company emphasizes using AI as a tool for design, suggesting access to cutting-edge AI platforms and software, alongside standard design and prototyping tools.

• Team Interaction: While remote, there will be structured opportunities for team interaction, including virtual meetings, design critiques, and potentially periodic in-person meetups or offsites (though less common for fully remote roles).

Work Schedule: A standard 40-hour work week is expected, with flexibility to manage personal schedules as long as core collaboration hours and project deadlines are met. This is typical for remote roles, allowing individuals to optimize their productivity within their local time zones.

📝 Enhancement Note: The fully remote nature of this role means the emphasis is on asynchronous communication and digital collaboration tools. Candidates should be comfortable with this mode of work and adept at managing their time and communication effectively across a distributed team. The company's broad geographical spread within Brazil suggests a well-established remote work infrastructure.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A brief call with a recruiter to assess basic qualifications, cultural fit, and alignment with the role's AI focus. Candidates should be ready to articulate their experience with AI in product design.

• Portfolio Review & Deep Dive: A session with the hiring manager or design lead to walk through selected portfolio projects. Focus on projects demonstrating end-to-end design, systemic thinking, and practical AI integration. Be prepared to discuss your design process, challenges, and the outcomes.

• Technical/Problem-Solving Session: This may involve a design exercise or a case study discussion focused on a complex AI-related user problem. Expect to articulate your approach to problem-solving, your use of AI tools, and how you'd balance technical constraints with user needs.

• Cross-functional Collaboration Interview: Meet with key stakeholders, such as AI Engineers or Product Managers, to assess your ability to collaborate effectively in a technical environment and communicate design concepts clearly.

• Final Interview: Typically with a senior leader (e.g., Head of Product, CTO) to discuss strategic alignment, long-term vision, and cultural fit within the Jusbrasil AI team.

Portfolio Review Tips:

• Curate for AI Relevance: Select 2-3 of your strongest projects that best showcase your experience with AI, complex systems, and end-to-end journey design. If you don't have direct AI product experience, highlight projects with complex data, system integrations, or advanced user flows that demonstrate transferable skills.

• Structure Your Case Studies: For each project, clearly outline the problem, your role, the process you followed (emphasizing AI tool usage if applicable), the solutions you designed, and the measurable outcomes or learnings. Use visuals effectively.

• Articulate Your AI Fluency: Be ready to discuss how you've used AI tools in your design process – not just what prompts you used, but how you leveraged AI for ideation, prototyping, or generating design elements, and the impact this had on efficiency or quality.

• Demonstrate Systemic Thinking: Explain how your design decisions considered the broader system, including technical limitations, AI model capabilities, and the orchestration of multiple AI agents.

Challenge Preparation:

• Understand AI Constraints: Research common challenges with AI products (e.g., bias, hallucination, latency, explainability) and how design can mitigate them.

• Practice AI Tool Integration: Be ready to discuss how you would use AI tools to solve a specific design problem presented in an exercise, or how you'd approach a scenario involving AI agent orchestration.

• Focus on Trade-offs: In AI product design, there are often trade-offs between speed, accuracy, complexity, and user experience. Be prepared to discuss how you would navigate these.

📝 Enhancement Note: The interview process emphasizes practical application of AI in design and the ability to collaborate in a technical environment. Candidates must prepare a portfolio that specifically addresses the AI-centric nature of this role and be ready to discuss their hands-on experience with AI tools and complex system design.

🛠 Tools & Technology Stack

Primary Tools:

• Design & Prototyping: Figma, Sketch, Adobe Creative Suite (or similar industry-standard tools for UI/UX design and prototyping).

• AI-Powered Design Tools: Candidates are expected to be proficient with AI tools for ideation, prototyping, and potentially content generation. This could include tools like Midjourney, DALL-E, ChatGPT, or specialized AI design assistants, depending on the company's specific stack.

• User Research & Testing: Tools for user interviews, usability testing, and possibly A/B testing platforms.

Analytics & Reporting:

• Product Analytics: Google Analytics, Mixpanel, Amplitude, or similar platforms for understanding user behavior and product performance.

• Data Visualization: Tools like Tableau, Power BI, or Looker for analyzing and presenting data insights, though direct use might be less frequent for a designer than for an analyst.

CRM & Automation:

• While not a primary focus for a Product Designer, familiarity with how CRM systems (like Salesforce) and marketing automation platforms integrate with user-facing products can be beneficial for understanding the broader business context.

📝 Enhancement Note: The emphasis on "AI-Powered Design Tools" is a key differentiator. Candidates should be prepared to discuss their experience with AI tools that augment the design process itself, not just tools for designing AI products. This suggests Jusbrasil is at the cutting edge of how design is executed.

👥 Team Culture & Values

Operations Values:

• AI-First & Innovation: A core belief in leveraging AI and cutting-edge technology to drive solutions and transform the legal system. Operations professionals are expected to embrace new technologies and innovative approaches.

• Deep Domain Expertise: A commitment to understanding complex problem spaces thoroughly, particularly within the legal domain, and applying that knowledge to build robust solutions.

• Clarity of Purpose: A strong sense of mission and a focus on achieving tangible impact. Operations should align their efforts with the company's overarching goals of improving access to justice.

• High Performance & Excellence: A culture that values dedication, consistency, and a high standard of work. Operations should aim for efficiency, accuracy, and continuous improvement in their processes and system management.

• Collaboration & Autonomy: A balance between independent work and close teamwork. Operations professionals are expected to be self-starters but also effective collaborators within cross-functional teams.

Collaboration Style:

• Cross-functional Integration: Operations professionals will work closely with design, engineering, product management, and potentially legal experts. Effective communication and understanding of different team perspectives are crucial.

• Data-Informed Decision Making: A preference for decisions backed by data and analysis. Operations should be adept at gathering, interpreting, and presenting relevant data to support their recommendations.

• Iterative Process Improvement: An openness to feedback and a continuous cycle of refinement for processes and systems. Operations should be comfortable testing new approaches and adapting based on results.

📝 Enhancement Note: The culture at Jusbrasil is driven by its AI-first mission and its commitment to transforming the legal sector. Operations professionals who thrive in this environment are likely those who are adaptable, data-driven, technically curious, and passionate about using technology for significant impact.

⚡ Challenges & Growth Opportunities

Challenges:

• Designing for AI Complexity: Navigating the inherent complexities, ambiguities, and evolving capabilities of AI systems to create intuitive and reliable user experiences. This includes managing user expectations around AI performance and accuracy.

• Balancing Speed and Quality: Optimizing perceived performance in AI-driven systems often involves trade-offs between how quickly users receive responses and the depth or accuracy of those responses. Finding the right balance is a key design challenge.

• Rapid Technological Evolution: Keeping pace with the fast-evolving landscape of AI technologies, particularly Generative AI and LLMs, and continuously adapting design strategies to leverage new capabilities.

• Cross-functional Alignment: Ensuring seamless communication and alignment between design, AI engineering, and product management, especially when dealing with technical constraints and novel AI applications.

Learning & Development Opportunities:

• AI Specialization: Becoming a leader in designing for advanced AI applications, with opportunities to work on groundbreaking projects in the legal tech space.

• Advanced AI Tool Proficiency: Gaining hands-on experience with cutting-edge AI tools and platforms, potentially contributing to the development or refinement of AI-assisted design workflows.

• System Design Expertise: Developing a deep understanding of complex system architectures, data pipelines, and AI model integration, enhancing skills in holistic product development.

• Mentorship and Thought Leadership: Opportunities to mentor junior designers, share expertise at internal or external forums, and contribute to the broader discourse on AI in product design.

📝 Enhancement Note: The challenges presented are inherent to working at the forefront of AI product development. The growth opportunities are directly tied to mastering these challenges and becoming an expert in a highly in-demand field, with significant potential for career advancement and specialization.

💡 Interview Preparation

Strategy Questions:

• "Describe a complex user journey you've designed for a data-intensive or AI-driven product. What were the key challenges, and how did you use AI tools (if applicable) in your design process?" (Focus on end-to-end design, AI integration, and problem-solving.)

• "How would you approach designing an experience where multiple AI agents need to collaborate to provide a user with a single, coherent response? What are the key considerations for user interaction and system orchestration?" (Assess systemic thinking, AI orchestration knowledge, and user-centricity.)

Company & Culture Questions:

• "What interests you about Jusbrasil's mission to transform the justice system with AI, and how do you see your design skills contributing to that goal?" (Assess cultural fit and alignment with company mission.)

• "Given our AI-first approach, how do you envision the role of a Product Designer evolving, and how do you stay current with AI advancements relevant to product development?" (Evaluate forward-thinking and continuous learning.)

Portfolio Presentation Strategy:

• Highlight AI-Centric Projects: Prioritize showcasing 1-2 projects that directly involve AI, ML, or complex data systems. If direct AI experience is limited, emphasize projects with intricate workflows, system integrations, or where you tackled significant technical constraints.

• Demonstrate AI Tool Usage in Practice: Be ready to show concrete examples of how you've used AI tools (e.g., ChatGPT for ideation, AI image generators for mockups, AI assistants for code snippets) within your design workflow, explaining the benefits to your process.

• Articulate Systemic Design Choices: Clearly explain the reasoning behind your design decisions, especially how they account for AI capabilities, limitations, latency, and the orchestration of multiple AI components. Use diagrams or flowcharts to illustrate complex interactions.

• Quantify Impact: Whenever possible, present measurable outcomes (e.g., improved conversion rates, reduced error rates, increased user satisfaction scores) of your designs, using data to support your claims.

📝 Enhancement Note: Interview preparation should focus on demonstrating practical AI fluency, systemic thinking, and the ability to translate complex technical capabilities into user-centric experiences. Candidates need to be ready to discuss their specific contributions and learnings from projects, with a strong emphasis on AI integration.

📌 Application Steps

To apply for this Product Designer position:

• Submit your application through the provided Greenhouse link, ensuring your resume and portfolio are readily accessible.

• Customize Your Resume: Tailor your resume to highlight keywords from the job description, such as "Product Design," "AI," "Generative AI," "LLM," "Systemic Thinking," and "User Experience," with specific examples of your accomplishments.

• Curate a Targeted Portfolio: Select your most relevant projects, emphasizing those that showcase your experience with AI-driven products, complex journeys, and your ability to use AI tools in your design process. Prepare to walk through 1-2 key case studies in detail.

• Prepare for AI-Specific Questions: Anticipate questions about your experience with AI products, how you leverage AI in your workflow, and your understanding of AI's impact on user experience. Practice articulating your thoughts clearly and concisely.

• Research Jusbrasil: Understand the company's mission, its AI-first approach, and its impact on the legal system. Be prepared to discuss why you are drawn to this specific role and company, especially its unique intersection of AI and legal tech.

⚠️ 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.