Product Designer

📍 Job Overview

Job Title: Product Designer

Company: Syngenta Group

Location: São Paulo, São Paulo, Brazil

Job Type: Tempo integral (Full-time)

Category: Product Design / UX/UI Design

Date Posted: 2026-06-24

Experience Level: 3-5 years professional experience

Remote Status: Hybrid

🚀 Role Summary

• Spearhead end-to-end product design for AI-driven decision support tools within the Vegetables AI Product team, focusing on translating complex data outputs into actionable insights for diverse user profiles.

• Drive user research initiatives, including interviews and contextual inquiries, to deeply understand the workflows and decision-making contexts of global supply planners, commercial managers, and operations teams.

• Design and maintain a cohesive design system for the Vegetables AI product portfolio, ensuring consistency in visual and interaction design across all AI-powered tools.

• Collaborate closely with Data Scientists and Software Engineers to translate intricate AI/ML outputs into clear, reliable visual representations and interactive experiences that foster user adoption and trust.

📝 Enhancement Note: This role is positioned within Syngenta's Vegetables AI Product team, indicating a strategic focus on leveraging artificial intelligence and machine learning to enhance agricultural decision-making. The Product Designer will be instrumental in bridging the gap between complex AI capabilities and practical user application, requiring a strong understanding of both design principles and the specific needs of agricultural operations.

📈 Primary Responsibilities

• Lead comprehensive user research activities, including user interviews, contextual investigations, and usability testing, with global stakeholders such as supply planners, commercial managers, and operations teams to understand their decision-making processes and pain points.

• Map existing business processes and workflows to identify bottlenecks, manual efforts, and opportunities for AI-driven improvements in decision quality and efficiency.

• Design complete user experiences for AI-powered tools, encompassing information architecture, wireframing, interaction flows, and high-fidelity prototyping.

• Translate complex AI/ML outputs (e.g., model recommendations, confidence scores, reasoning explanations) into clear, trustworthy visual representations that effectively support user decision-making.

• Develop and sustain a unified design system for the Vegetables AI product suite, ensuring visual and interactive consistency across all applications.

• Partner with software engineers to ensure design fidelity during implementation, actively participating in design reviews, providing detailed specifications, and validating delivered user experiences.

• Collaborate with Data Scientists to design effective data visualizations, dashboards, and analytical insights that enhance understanding and actionability of AI outputs.

• Facilitate workshops and co-creation sessions with stakeholders and end-users, employing rapid iteration based on gathered feedback to refine designs.

• Design for adoption by creating intuitive onboarding flows, contextual help, and progressive disclosure patterns to minimize user friction and accelerate learning curves.

• Support change management efforts by helping stakeholders visualize the evolution of their workflows with AI-enabled tools and articulating the benefits.

• Document UX decisions, design rationale, and user research findings to contribute to the organization's knowledge base and best practices.

📝 Enhancement Note: The responsibilities highlight a deep involvement in the entire product development lifecycle, from initial user discovery and problem definition to the final implementation and adoption support. The emphasis on translating complex AI outputs into user-friendly interfaces and managing a design system for AI products indicates a specialized role requiring both strong UX/UI skills and an understanding of AI/ML concepts.

🎓 Skills & Qualifications

Education: Bachelor's degree in Design, Engineering, Computer Science, Architecture, or a related field. A strong professional product design portfolio is mandatory.

Experience: 3 to 5 years of professional experience in digital product design.

Required Skills:

• Proven experience in designing B2B enterprise tools, SaaS platforms, or internal business applications, with a preference for supply chain, ERP, planning tools, or similarly complex domains.

• High proficiency in Figma or equivalent design and prototyping tools.

• Solid understanding of core UX principles, including information architecture, interaction design, usability heuristics, and accessibility standards.

• Demonstrated experience in designing complex, data-rich enterprise applications such as dashboards, planning tools, and decision support systems.

• Ability to conduct and synthesize qualitative user research, including interviews and usability testing.

• Expertise in business process mapping and workflow analysis, translating operational complexity into clear visual representations.

• Understanding of designing for AI/ML products, specifically communicating uncertainty, model confidence, explanations, and system recommendations in a user-friendly manner.

• Excellent written and spoken English communication skills, as it is the primary daily working language.

• A comprehensive portfolio showcasing end-to-end design work, from research and discovery through to final product delivery. Preferred Skills:

• Familiarity with supply chain, logistics business processes, or the agricultural sector.

• Experience with product analytics tools (e.g., Amplitude, Hotjar, or similar) to understand user behavior.

• Exposure to facilitation techniques for workshops and co-creation sessions with non-technical stakeholders.

• Strong ability to work autonomously within a global, multicultural environment, managing the design of multiple AI products concurrently.

• Skill in influencing stakeholders regarding process changes, articulating workflow evolution, and demonstrating the value of AI-enabled workflows.

📝 Enhancement Note: The qualifications emphasize a blend of technical design skills, user-centric research capabilities, and an understanding of complex enterprise environments, particularly those involving data-intensive applications and emerging technologies like AI/ML. The requirement for a comprehensive portfolio and strong English proficiency is critical for success in this global role.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Showcase end-to-end product design projects, detailing your role and contributions from initial research and problem definition through to final design implementation and iteration.

• Include case studies that demonstrate your ability to map complex business processes and translate them into intuitive user interfaces for enterprise applications.

• Present examples of how you've designed for complex data outputs and AI/ML-driven insights, explaining your approach to making these understandable and actionable for users.

• Demonstrate experience with building or contributing to design systems, highlighting how you ensured consistency and scalability across multiple products or features.

• Clearly articulate the user problems you solved, your design process, and the impact of your design decisions, supported by relevant metrics or qualitative feedback where possible. Process Documentation:

• Detail your approach to user research, including methodologies for conducting interviews, contextual inquiries, and usability testing, and how findings informed design decisions.

• Outline your process for wireframing, prototyping, and iterating on user flows, emphasizing how you collaborate with cross-functional teams (engineers, data scientists, product managers).

• Explain your methods for translating complex technical specifications or AI outputs into clear design documentation and visual specifications for development teams.

• Describe how you approach designing for adoption, including user onboarding, in-app guidance, and feature discovery mechanisms.

📝 Enhancement Note: For a Product Designer role, particularly one focused on AI products, the portfolio is paramount. It needs to demonstrate not just aesthetic skills but a deep understanding of user-centered design processes, problem-solving capabilities in complex environments, and the ability to communicate technical concepts visually. The emphasis on AI/ML and business process mapping indicates a need for more than just standard UI/UX work.

💵 Compensation & Benefits

Salary Range: Based on industry benchmarks for Product Designers with 3-5 years of experience in major metropolitan areas like São Paulo, Brazil, and considering the specialized nature of AI/ML product design within a global agricultural technology company, a competitive annual salary range is estimated between BRL 150,000 to BRL 250,000. This range is subject to variation based on the candidate's specific experience, skill set, and the company's compensation structure.

Benefits:

• Comprehensive benefits package including medical, dental, and vision insurance, effective from the first day of employment.

• Paid vacation time to ensure work-life balance.

• Maternity and Paternity Leave to support new parents.

• Education Allowance to support continuous professional development.

• Wellness Programs designed to promote employee health and well-being.

• Corporate Discounts offering savings on various services and products.

• Flexible work options to accommodate professional and personal needs.

Working Hours: 40 hours per week, with provisions for flexible work arrangements.

📝 Enhancement Note: Salary estimation for São Paulo, Brazil, considers the cost of living and typical compensation for specialized tech roles. The benefits package is detailed as provided in the job description, highlighting Syngenta's commitment to employee well-being and development. The working hours are standardized at 40 hours, with flexibility noted.

🎯 Team & Company Context

🏢 Company Culture

Industry: Agribusiness, Agricultural Technology, Biotechnology, Chemicals. Syngenta Group is a global leader in agricultural innovation, focusing on seeds and crop protection solutions. They aim to empower farmers with advanced technologies to feed a growing world population sustainably.

Company Size: Syngenta Group is a large, global enterprise with tens of thousands of employees worldwide. This scale means access to extensive resources, diverse projects, and opportunities for international collaboration.

Founded: Syngenta was formed in 2000 through the merger of Novartis Agribusiness and Zeneca Agrochemicals. The company has a long history of innovation in agriculture, building on the legacies of its founding entities.

Team Structure:

• The role is within the Vegetables AI Product team, suggesting a specialized, likely cross-functional unit focused on developing and deploying AI solutions for the vegetable sector.

• This team likely comprises Product Managers, Data Scientists, Software Engineers, and UX/UI Designers working collaboratively.

• Reporting structure is expected to be within a product development or digital innovation department, with potential for matrixed reporting to global leads.

• Cross-functional collaboration is essential, requiring close partnerships with various business units, including supply chain, commercial, and operations globally. Methodology:

• Data analysis and insights are central to the AI Product team's work, driving the development and refinement of AI models and user-facing tools.

• Workflow planning and optimization strategies are key to understanding user needs and designing solutions that integrate seamlessly into existing agricultural processes.

• Automation and efficiency practices are core objectives for the AI tools being developed, aiming to reduce manual effort and improve decision-making accuracy.

Company Website: https://www.syngentagroup.com/

📝 Enhancement Note: Syngenta's position as a global leader in agribusiness provides a unique context for a Product Designer. The focus on AI for agriculture means the designer will be working on solutions with tangible real-world impact, addressing critical global challenges like food security and sustainability. The company's size and global reach offer exposure to diverse markets and operational complexities.

📈 Career & Growth Analysis

Operations Career Level: This role is an intermediate-level Product Designer position, requiring 3-5 years of focused experience in digital product design, particularly within enterprise B2B or SaaS environments. It implies a capacity for independent work on specific product features or smaller products, with guidance from senior designers or product leads. The role demands ownership of design processes from research to implementation.

Reporting Structure: The Product Designer will likely report to a Design Lead, Head of Product Design, or a Senior Product Manager within the Vegetables AI Product team. They will collaborate closely with Data Scientists, Software Engineers, and Product Managers, forming a core product development pod.

Operations Impact: The Product Designer's work will directly impact operational efficiency and decision-making quality for global agricultural users. By making complex AI outputs understandable and actionable, the designer will enable better resource allocation, improved yield predictions, and more effective supply chain management, ultimately contributing to Syngenta's mission of enhancing farmer success and global food production.

Growth Opportunities:

• Specialization: Deepen expertise in designing for AI/ML products, data visualization, or specific agricultural domains within the company.

• Leadership: Progress to Senior Product Designer, Lead Designer, or Design Manager roles, taking on more complex projects and mentoring junior designers.

• Cross-functional Mobility: Transition into Product Management or UX Strategy roles, leveraging a strong understanding of user needs and product development lifecycles.

• Skill Development: Continuous learning opportunities through internal training, workshops, industry conferences, and access to advanced design and analytics tools.

📝 Enhancement Note: The growth trajectory for a Product Designer at a company like Syngenta involves deepening technical design skills, gaining domain expertise in agribusiness and AI, and potentially moving into leadership or strategic product roles. The emphasis on AI and global operations suggests opportunities to work on impactful, cutting-edge projects.

🌐 Work Environment

Office Type: Hybrid work environment, balancing remote work with in-office collaboration. This suggests a modern approach to work, aiming to provide flexibility while fostering team cohesion.

Office Location(s): The primary location is São Paulo, Brazil. Syngenta is a global organization, so while this role is based in São Paulo, interactions will be with international teams.

Workspace Context:

• The workspace is likely designed to encourage collaboration, with shared areas and meeting rooms equipped for team discussions and brainstorming sessions.

• Access to modern design tools and technology, including Figma and potentially other specialized software for prototyping, user research, and data analysis, will be standard.

• Opportunities for direct interaction with a global, multicultural team of designers, engineers, data scientists, and product managers, fostering a dynamic and learning-oriented environment.

Work Schedule: Standard full-time hours (40 hours/week) with an emphasis on flexibility. This allows operations professionals to manage their time effectively, balancing project demands with personal commitments, which is crucial for deep analytical and creative work.

📝 Enhancement Note: The hybrid work model and global team structure imply a need for strong remote collaboration skills and the ability to adapt to different time zones. The São Paulo office likely serves as a hub for regional operations and a point of connection for global initiatives.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: HR or recruiter call to assess basic qualifications, interest, and cultural fit.

• Hiring Manager Interview: Discussion with the hiring manager to delve into experience, design philosophy, and understanding of the role's responsibilities. Expect questions about past projects and problem-solving approaches.

• Design Challenge/Portfolio Review: A critical stage involving a presentation of your portfolio. This may include a take-home design challenge or a deep dive into specific case studies from your portfolio, focusing on your process, rationale, and impact. Be prepared to discuss your work on complex B2B applications, AI/ML design, and user research.

• Team Interviews: Meetings with potential peers (other designers, engineers, data scientists) to assess collaboration style, technical understanding, and team dynamics.

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

Portfolio Review Tips:

• Curate Strategically: Select 3-5 of your strongest projects that best showcase your experience with enterprise B2B/SaaS, complex data, and AI/ML design. Highlight projects where you led the design process from start to finish.

• Tell a Story: For each project, clearly articulate the problem, your role, your design process (research, ideation, prototyping, testing), key decisions, challenges faced, and the outcomes/impact. Use visuals effectively to illustrate your journey.

• Focus on Process & Rationale: Emphasize why you made certain design decisions, linking them back to user needs, business goals, and design principles. For AI products, explain how you approached communicating uncertainty and building user trust.

• Quantify Impact: Wherever possible, include metrics or qualitative feedback that demonstrate the success of your designs (e.g., increased user adoption, reduced errors, improved efficiency).

• Tailor to Syngenta: If possible, subtly weave in how your skills align with Syngenta's mission in agriculture and their focus on AI.

Challenge Preparation:

• Understand the Context: If a design challenge is provided, thoroughly understand the problem statement, target users, and business objectives.

• Think Aloud: For live challenges or presentations, articulate your thought process clearly. Explain your assumptions, the trade-offs you're considering, and how you're prioritizing solutions.

• Focus on Process: Even if you can't complete a full design, demonstrate a strong understanding of the design process and how you would approach the problem systematically.

• Prepare for Data Visualization: Given the role's focus, be ready to discuss how you would visualize complex data or AI outputs.

📝 Enhancement Note: The interview process for a specialized design role like this will heavily scrutinize the candidate's portfolio and design process. Candidates should be prepared to articulate their decision-making rationale, demonstrate their ability to handle complex data and AI concepts, and showcase their collaboration skills within a cross-functional team.

🛠 Tools & Technology Stack

Primary Tools:

• Figma: Essential for UI design, wireframing, prototyping, and collaboration. Proficiency is a mandatory requirement.

• Prototyping Tools: Beyond Figma, experience with other prototyping tools (e.g., Adobe XD, Sketch) may be beneficial.

• User Research Tools: Familiarity with platforms for conducting remote interviews, usability testing, and survey distribution.

Analytics & Reporting:

• Product Analytics Platforms: Experience with tools like Amplitude, Hotjar, Google Analytics, or similar for understanding user behavior, tracking feature adoption, and analyzing product performance.

• Data Visualization Tools: Ability to work with or design for tools that present data effectively, potentially including Tableau, Power BI, or custom-built dashboards.

CRM & Automation:

• While not primary design tools, an understanding of how design integrates with CRM (e.g., Salesforce) or workflow automation platforms can be advantageous, especially when designing enterprise tools.

• Familiarity with enterprise systems like ERP (Enterprise Resource Planning) may be beneficial given the mention of supply chain and planning tools.

📝 Enhancement Note: Proficiency in Figma is a non-negotiable requirement. The role also necessitates familiarity with tools that support user research, analytics, and data visualization, reflecting the data-driven and user-centric nature of modern product design, especially for AI-powered applications.

👥 Team Culture & Values

Operations Values:

• Data-Driven Decision Making: A strong emphasis on using data from user research and product analytics to inform design choices and measure impact.

• Collaboration & Transparency: Open communication and teamwork are crucial, especially in a global, cross-functional environment. Expect regular feedback loops and collaborative design sessions.

• User Centricity: A deep commitment to understanding and solving user problems, ensuring that AI tools are not just technically advanced but also practical and valuable for farmers and operational teams.

• Innovation & Continuous Improvement: A culture that encourages experimentation, learning from failures, and constantly seeking better ways to leverage AI and design to drive agricultural innovation.

• Sustainability & Impact: Alignment with Syngenta's broader mission to contribute positively to global food security and environmental sustainability through technological advancements.

Collaboration Style:

• Cross-functional Integration: Designers are expected to work seamlessly with product managers, data scientists, and software engineers, participating actively in all stages of the product development lifecycle.

• Agile Methodologies: Likely operates within an agile framework, requiring iterative design, frequent feedback, and adaptability to changing requirements.

• Global Team Dynamics: Requires effective communication and empathy across different cultures and time zones, leveraging digital tools to bridge geographical distances.

• Constructive Feedback: An environment where constructive feedback is welcomed and given to ensure the highest quality of design and product outcomes.

📝 Enhancement Note: The culture at Syngenta, particularly within an innovative team like Vegetables AI Product, likely values a blend of scientific rigor, user empathy, and a collaborative spirit. Candidates should demonstrate an ability to thrive in a global, data-informed, and purpose-driven environment.

⚡ Challenges & Growth Opportunities

Challenges:

• Translating AI Complexity: The primary challenge will be designing interfaces that make sophisticated AI/ML outputs understandable and trustworthy for users who may not have deep technical backgrounds.

• Global User Needs: Catering to the diverse needs and contexts of users across different regions and agricultural practices requires extensive research and adaptable design solutions.

• Balancing Innovation with Usability: Integrating cutting-edge AI features while maintaining a simple, intuitive user experience for enterprise applications can be a delicate balancing act.

• Stakeholder Alignment: Influencing diverse stakeholders, including those resistant to change or new technology, to adopt AI-driven workflows requires strong communication and persuasive design articulation.

Learning & Development Opportunities:

• AI/ML Design Specialization: Gain deep expertise in the emerging field of designing for artificial intelligence and machine learning applications.

• Domain Expertise: Develop a strong understanding of agricultural business processes, supply chain management, and the specific challenges faced by farmers.

• Global Product Design: Experience in designing for a global user base, understanding cultural nuances and localization requirements.

• Leadership Development: Opportunities to take on more complex projects, mentor junior designers, and potentially move into leadership roles within the design team.

• Access to Industry Tools & Research: Continuous exposure to the latest design software, AI technologies, and industry research through internal resources and external training.

📝 Enhancement Note: The challenges presented are inherent to roles at the intersection of advanced technology (AI/ML) and complex industries (agribusiness). Successfully navigating these challenges offers significant opportunities for professional growth and specialization.

💡 Interview Preparation

Strategy Questions:

• "Describe a time you had to design a user experience for a complex, data-intensive application. What was your process, and what were the key challenges?" (Prepare a case study from your portfolio demonstrating B2B/SaaS design experience).

• "How would you approach designing an interface that communicates uncertainty or confidence levels from an AI model to a non-technical user?" (Focus on your understanding of AI/ML design principles and user trust).

• "Walk us through your process for conducting user research and translating those insights into actionable design decisions for a new product feature." (Highlight your UX research methodologies and iterative design approach). Company & Culture Questions:

• "What interests you about Syngenta and our mission in agriculture?" (Research Syngenta's sustainability goals, impact on food security, and recent innovations).

• "How do you approach collaboration with engineers and data scientists, especially when there are differing opinions on design or implementation?" (Emphasize your communication, negotiation, and problem-solving skills).

• "Describe a situation where you had to influence stakeholders to adopt a new design or process. How did you articulate the value proposition?" (Focus on your ability to communicate the benefits of design and technology). Portfolio Presentation Strategy:

• Structure Your Narrative: For each project, clearly define the problem, your role, the user, your design process, key decisions and rationale, and the outcomes. Aim for a clear, concise story.

• Show, Don't Just Tell: Use high-fidelity mockups, prototypes, user flows, and research findings to illustrate your work. Explain why you made specific design choices.

• Highlight AI/Data Experience: Specifically point out projects where you dealt with complex data, decision support systems, or AI/ML outputs. Explain your approach to making these understandable and actionable.

• Be Ready for Q&A: Anticipate questions about your design choices, trade-offs, and how you would handle specific scenarios related to the job description (e.g., designing for global users, managing a design system for AI products).

• Demonstrate Process: The interviewers will be as interested in how you design as what you design. Showcase your problem-solving methodology and ability to iterate.

📝 Enhancement Note: Preparation should focus on demonstrating a strong understanding of user-centered design, experience with complex enterprise systems, and a forward-thinking approach to designing for AI/ML. Candidates should be ready to articulate their design rationale and showcase tangible results from their portfolio.

📌 Application Steps

To apply for this Product Designer position:

• Submit your application through the provided link on the Syngenta Group careers portal.

• Customize Your Resume: Tailor your resume to highlight experience with B2B enterprise tools, SaaS platforms, AI/ML design, user research, and proficiency in Figma. Use keywords from the job description, such as "Product Design," "UX Research," "Figma," "AI/ML," and "Enterprise Applications."

• Prepare Your Portfolio: Ensure your portfolio is up-to-date, showcasing 3-5 relevant projects that demonstrate end-to-end design processes, complex data handling, and AI/ML design experience. Be ready to present and discuss these projects in detail.

• Research Syngenta: Familiarize yourself with Syngenta's mission, values, and their work in agricultural technology and sustainability. Understand their focus on AI and innovation.

• Practice Interview Responses: Prepare answers for common design interview questions, focusing on your process, problem-solving skills, and how your experience aligns with the specific requirements of this role, especially regarding AI and global operations.

⚠️ 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.