Product Designer

📍 Job Overview

Job Title: Product Designer

Company: Platform Science

Location: Londrina, Paraná, Brazil

Job Type: Full-time

Category: Product Design / UX/UI

Date Posted: 2026-09-21

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

Remote Status: Hybrid

🚀 Role Summary

• Drive user-centric product strategy execution by integrating user needs into every decision.

• Leverage AI-augmented workflows and agentic processes to accelerate solution exploration, hypothesis testing, and rapid prototyping.

• Conduct comprehensive user research and validation experiments to identify user personas, pain points, and key improvement opportunities.

• Collaborate closely with engineering teams, utilizing component systems like ShadCN and Tailwind, to ensure design technical feasibility and readiness for AI-assisted implementation.

• Foster strong cross-functional partnerships with Product, Data, Marketing, and Engineering teams, leading workshops to influence user-centric product decisions.

📝 Enhancement Note: This role is positioned as a Product Designer with a strong emphasis on AI integration and a hybrid work model in Londrina, Brazil. The core responsibilities highlight a strategic approach to product development, deeply rooted in user research and data-driven insights, while embracing cutting-edge AI tools and collaborative methodologies.

📈 Primary Responsibilities

• Support the execution of product strategy by ensuring user needs are at the forefront of all decision-making processes.

• Employ AI tools and agentic workflows to expedite solution exploration, hypothesis validation, and prototype generation.

• Execute user research and validation experiments to accurately define user personas, identify critical pain points, and uncover opportunities for product enhancement.

• Work in close collaboration with the engineering team, leveraging component systems (e.g., ShadCN, Tailwind) to ensure designs are technically viable and prepared for AI-assisted implementation.

• Build bridges with product, data, marketing, and engineering departments, leading workshops to influence user-centric decisions and drive product alignment.

• Balance the effort and intensity of design actions with their potential impact on key product success metrics, ensuring a results-oriented approach.

📝 Enhancement Note: The responsibilities emphasize a proactive and collaborative approach to product design, with a significant focus on leveraging AI to enhance efficiency and innovation. The expectation is for the designer to not only create but also to strategically influence product direction through research, data, and cross-functional leadership.

🎓 Skills & Qualifications

Education:

• Bachelor's degree in Design, IT, or a related field is required.

• Postgraduate studies or complementary courses in Design or Product Management are considered a strong plus. Experience:

• 2-5 years of experience in product design, UX/UI, or a similar role.

• Proven experience with experimentation, user testing, and prototyping tools.

• Expertise in facilitating discovery dynamics such as brainstorms, Design Sprints, and Design Thinking workshops.

• Demonstrated experience in conducting user research to inform product strategy. Required Skills:

• Product Design & UX/UI: Strong ability to translate user needs and business goals into intuitive and effective product designs.

• User Research & Validation: Proficiency in qualitative and quantitative research methodologies, persona development, and usability testing.

• Prototyping & Experimentation: Skill in creating interactive prototypes and designing experiments to validate hypotheses.

• AI-Augmented Workflow Integration: demonstrated ability to learn and integrate new AI tools into daily design processes to automate tasks and solve complex problems.

• Front-end Awareness: Basic understanding of front-end technologies (HTML, CSS, design tokens, component systems like ShadCN/Tailwind) to facilitate effective communication with engineers and assess design feasibility.

• Data-Driven Design: Familiarity with product analytics tools (e.g., Pendo, Hotjar, Google Analytics, Google Tag Manager) to inform design decisions and measure impact.

• Cross-functional Collaboration: Excellent communication and facilitation skills to work effectively with diverse teams and lead workshops.

Preferred Skills:

• Advanced English proficiency for global team collaboration.

• Prior experience with mobility, logistics, or transportation products.

• Experience with design systems and component libraries.

📝 Enhancement Note: The requirements highlight a modern product designer profile, blending traditional UX/UI skills with a forward-thinking approach to AI integration and a practical understanding of front-end development. The emphasis on data and cross-functional collaboration suggests a role that is deeply embedded within the product development lifecycle.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Showcase a minimum of 2-3 detailed case studies demonstrating a full product design lifecycle from discovery to implementation.

• Each case study should clearly articulate the problem statement, user research insights, design process, key decisions, and final outcomes.

• Highlight specific examples of how AI tools were integrated into the design process to improve efficiency or explore novel solutions.

• Demonstrate proficiency in using design and prototyping tools, with examples of interactive prototypes.

• Include evidence of collaboration with engineering and product teams, illustrating handoff processes and technical considerations. Process Documentation:

• Clearly outline the user research methodologies employed, including discovery techniques, persona development, and validation strategies.

• Detail the design iteration process, including wireframing, prototyping, and usability testing phases.

• Provide examples of how data from product analytics tools was used to inform design iterations and measure success.

• Illustrate the collaboration and handoff process with engineering, showcasing how component systems and technical constraints were managed.

📝 Enhancement Note: A strong portfolio is crucial for this role, emphasizing not just the final design output but also the strategic process, research-backed decisions, and innovative use of AI. The ability to demonstrate a clear understanding of the full product development lifecycle and effective cross-functional collaboration will be key.

💵 Compensation & Benefits

Salary Range:

Given the location in Londrina, Brazil, and the mid-level experience requirement (2-5 years) for a Product Designer role with a focus on AI and hybrid work, a competitive salary range would typically fall between R$ 7.000 to R$ 12.000 per month. This estimate is based on industry benchmarks for design professionals in Brazil, considering the specialized skills in AI integration and product analytics, and the hybrid work model which may offer flexibility.

Benefits:

• Hybrid Work Model: Flexibility to work both remotely and from the Londrina office, promoting work-life balance.

• Health Insurance: Comprehensive health and dental coverage.

• Professional Development: Opportunities for continued learning, including access to courses, workshops, and conferences related to AI, product design, and emerging technologies.

• Collaborative Environment: Access to a diverse and innovative team, fostering knowledge sharing and professional growth.

• Productivity Tools: Access to cutting-edge design and AI tools to enhance workflow efficiency.

• Potential for Global Collaboration: Opportunity to work with international teams, enhancing cross-cultural communication skills.

Working Hours:

• Standard full-time working hours, typically 40 hours per week.

• The hybrid model allows for flexibility in structuring workdays between remote and in-office time.

📝 Enhancement Note: The salary range is an estimation based on market data for Product Designers in Brazil with the specified experience and skill set. Actual compensation may vary based on the candidate's specific qualifications, negotiation, and the company's compensation structure. The benefits are inferred to be competitive for a tech company, supporting professional growth and work-life balance.

🎯 Team & Company Context

🏢 Company Culture

Industry: Technology (IoT, Transportation, Logistics)

Platform Science operates within the rapidly evolving technology sector, focusing on the Internet of Things (IoT) and its application in the transportation and logistics industries. This context implies a fast-paced environment driven by innovation, data, and the need for scalable solutions. The company's open IoT platform model suggests a collaborative ecosystem approach, partnering with various entities to create integrated solutions.

Company Size: The provided data does not explicitly state company size, but Greenhouse job boards often host listings for mid-to-large sized tech companies.

The size of Platform Science likely influences the operations structure. If it's a growing mid-sized company, there may be more opportunities for direct impact and broader responsibility, while a larger organization might offer more specialized roles and established processes.

Founded: 2015

Founded in 2015, Platform Science is a relatively young but established player in the tech industry. This suggests a culture that is likely agile, innovative, and adaptable, with a foundation built on recent technological advancements. The company's growth trajectory since its founding would indicate a dynamic and evolving work environment.

Team Structure:

• Multidisciplinary Focus: The role is embedded within a multidisciplinary team comprising Product, Data, and Engineering. This structure promotes close collaboration and shared ownership of product development.

• Reporting: While not explicitly stated, a Product Designer typically reports to a Product Lead, Design Manager, or Head of Product. The collaborative nature suggests a flatter hierarchy within the immediate team.

• Cross-functional Collaboration: The role explicitly requires bridging gaps with Product, Data, Marketing, and Engineering, indicating a strong emphasis on cross-functional teamwork and communication as a core operational practice.

Methodology:

• User-Centric Design: A fundamental methodology, ensuring that user needs are paramount in all product decisions.

• AI-Augmented Workflows: A key operational differentiator, integrating AI tools to enhance efficiency in exploration, prototyping, and testing.

• Data-Driven Decision Making: Utilizing product analytics to inform design choices and measure impact, a critical aspect of modern product operations.

• Agile Development Practices: Implied by the multidisciplinary team structure and the need for rapid iteration and collaboration.

Company Website: platformscience.com

📝 Enhancement Note: The company culture is presented as innovative, collaborative, and user-focused, with a strong emphasis on leveraging technology, including AI, to solve complex problems in the transportation and logistics sector. The hybrid work model in Londrina points to a global company with a local presence.

📈 Career & Growth Analysis

Operations Career Level:

This Product Designer role is positioned at a Mid-Level (2-5 years of experience). This level typically involves taking ownership of specific product features or components, contributing significantly to design strategy, and collaborating effectively with cross-functional teams. Mid-level designers are expected to be proficient in core design processes, capable of working with some autonomy, and beginning to mentor or guide more junior team members. They are crucial in translating high-level product vision into tangible, user-friendly solutions.

Reporting Structure:

The Product Designer will be part of a multidisciplinary team (Product, Data, Engineering) and will likely report to a Design Lead, Product Manager, or Head of Design. This structure fosters close collaboration within the immediate team and allows for direct interaction with stakeholders across various departments, ensuring design decisions are aligned with broader business objectives.

Operations Impact:

The Product Designer will have a direct impact on revenue and business decisions by:

• Enhancing User Experience: Creating intuitive and efficient user interfaces that drive product adoption, engagement, and retention, ultimately leading to increased customer satisfaction and loyalty.

• Improving Product Efficiency: Designing features that streamline user workflows and reduce friction, potentially leading to cost savings for users and increased operational efficiency for Platform Science's clients.

• Informing Product Strategy: Through rigorous user research and data analysis, providing critical insights that shape the product roadmap and strategic direction, ensuring investments are made in areas with the highest potential ROI.

• Accelerating Development: Leveraging AI-augmented workflows to speed up the design and prototyping process, allowing for faster iteration cycles and quicker time-to-market for new features.

Growth Opportunities:

• Senior Product Designer: Progression to a Senior level, taking on more complex projects, leading design initiatives, and mentoring junior designers.

• Specialization: Deepening expertise in areas like AI-driven design, user research methodologies, or design systems.

• Product Management: Potential transition into Product Management roles, leveraging a strong understanding of user needs and product strategy.

• Design Leadership: Moving into leadership positions such as Design Lead or Manager, responsible for team management and design strategy oversight.

• Cross-functional Skill Development: Opportunity to gain deeper insights into data analytics, engineering principles, and business strategy through close collaboration.

📝 Enhancement Note: The career path for a Product Designer at Platform Science appears to offer significant opportunities for growth, both in terms of design expertise and broader product leadership. The emphasis on AI and data integration suggests a role that is at the forefront of modern product development practices.

🌐 Work Environment

Office Type: Hybrid

The role is designated as Hybrid, meaning employees are expected to work a combination of remote and in-office days. This model offers flexibility while still promoting in-person collaboration and team cohesion.

Office Location(s):

Londrina, Paraná, Brazil. Specific office details such as address or amenities are not provided, but the hybrid nature implies a functional office space equipped for collaborative work sessions and team meetings.

Workspace Context:

• Collaborative Environment: The hybrid model is designed to foster collaboration, with office days likely dedicated to team meetings, workshops, brainstorming sessions, and focused work requiring in-person interaction.

• Operations Tools and Technology: Employees will have access to industry-standard design tools (e.g., Figma, Sketch), prototyping software, and potentially AI-powered design assistants. Access to product analytics platforms and communication tools (like Slack or Microsoft Teams) will be essential for seamless workflow.

• Team Interaction: While remote days allow for focused individual work, office days provide opportunities for spontaneous interactions, informal knowledge sharing, and stronger team bonding with product, data, and engineering colleagues.

Work Schedule:

• Standard full-time schedule, approximately 40 hours per week.

• The hybrid arrangement allows for flexibility in scheduling workdays, balancing personal needs with team and project requirements. This flexibility is particularly beneficial for deep-work sessions required for design tasks.

📝 Enhancement Note: The hybrid work environment in Londrina is designed to balance the benefits of remote flexibility with the advantages of in-person collaboration, particularly for design-centric activities and team integration.

📄 Application & Portfolio Review Process

Interview Process:

The interview process is likely to be multi-stage, designed to assess design skills, strategic thinking, collaborative abilities, and cultural fit. Expect the following phases:

1. Initial Screening: A brief call with a recruiter or hiring manager to assess basic qualifications, experience alignment, and interest in the role and company.

2. Portfolio Review & Design Challenge: A more in-depth session where candidates present their portfolio, discussing case studies in detail. This may be followed by a practical design challenge (take-home or live) to evaluate problem-solving skills, design process, and ability to work with constraints.

3. Technical/Team Interviews: Interviews with peers from the Product, Data, and Engineering teams to assess technical understanding, collaboration style, and ability to integrate AI into workflows.

4. Hiring Manager/Leadership Interview: A final interview with the hiring manager or a senior leader to discuss strategic fit, career aspirations, and overall cultural alignment.

Portfolio Review Tips:

• Storytelling: Structure your case studies as compelling narratives. Clearly define the problem, your role, the process you followed, the challenges encountered, your solutions, and the measurable impact.

• Process Over Polish: While visual appeal is important, emphasize the why behind your design decisions. Showcase your research, ideation, iteration, and collaboration processes.

• AI Integration: Explicitly highlight any projects where AI tools were used. Explain the benefits achieved (e.g., speed, exploration, efficiency) and your learnings.

• Data & Metrics: Quantify your impact whenever possible. Use data from analytics tools or user feedback to demonstrate how your designs improved key metrics.

• Technical Dialogue: Be prepared to discuss the technical feasibility of your designs, especially in relation to front-end technologies and component systems.

Challenge Preparation:

• Understand the Context: If given a take-home challenge, thoroughly research Platform Science, its industry (IoT, logistics), and its target users.

• Focus on Process: For live challenges, think aloud. Explain your thought process, assumptions, and how you’d approach problem-solving under time pressure.

• AI Application: Consider how AI could potentially be applied to the challenge, even if not explicitly requested, to showcase your forward-thinking approach.

• Prioritization: Be ready to discuss how you would prioritize tasks and features based on potential impact and effort.

📝 Enhancement Note: The interview process is structured to thoroughly evaluate a candidate's design capabilities, strategic thinking, and adaptability to new technologies like AI. A well-prepared portfolio that showcases process, impact, and AI integration will be critical for success.

🛠 Tools & Technology Stack

Primary Tools:

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

• AI-Augmented Design Tools: Specific tools will vary, but the role implies familiarity with AI assistants for ideation, content generation, code generation, or workflow automation. Examples might include tools like Galileo, Uizard, or AI features within existing design platforms.

• Component Systems: Experience with or understanding of systems like ShadCN and Tailwind CSS for efficient and scalable design implementation.

• Design Tokens: Familiarity with the concept and application of design tokens for maintaining design consistency across platforms.

Analytics & Reporting:

• Product Analytics: Pendo, Hotjar, Google Analytics, Google Tag Manager. Proficiency in using these tools to gather user behavior data, analyze feature adoption, and measure the impact of design changes.

• Data Visualization: While not explicitly mentioned, familiarity with tools like Tableau or Looker for understanding data trends could be beneficial.

CRM & Automation:

• CRM: Not directly a primary tool for Product Designers, but understanding how CRM data (e.g., Salesforce) might inform user segmentation or product needs could be relevant.

• Automation Tools: AI-powered automation within design workflows, as mentioned in the role description.

📝 Enhancement Note: The technology stack emphasizes modern design practices, with a strong leaning towards AI integration, efficient component-based development, and data-driven decision-making. Candidates should be comfortable working with and adopting new AI tools.

👥 Team Culture & Values

Operations Values:

• User-Centricity: A core value, ensuring that every design decision is made with the end-user's needs and experience at the forefront. This translates to rigorous user research and empathy in design.

• Innovation & AI Integration: A forward-thinking approach that embraces new technologies like AI to enhance efficiency, explore novel solutions, and stay ahead of industry trends.

• Collaboration & Transparency: A belief in the power of multidisciplinary teams working together openly. This involves clear communication, shared ownership, and constructive feedback.

• Data-Driven Approach: Decisions are backed by data and analytics, ensuring that design efforts are aligned with business objectives and deliver measurable results.

• Resilience & Creativity: Addressing challenges with a problem-solving mindset, combining creative ideation with the resilience to iterate and overcome obstacles.

Collaboration Style:

• Cross-functional Integration: The team operates with a high degree of integration between Product, Data, and Engineering. This means designers actively participate in product strategy discussions and work closely with engineers on implementation.

• Workshop Facilitation: Designers are expected to lead and facilitate workshops (e.g., Design Sprints, brainstorms) to drive alignment and gather input from various stakeholders.

• Feedback Exchange: An open culture where feedback is regularly exchanged constructively, fostering continuous improvement in both individual work and team processes.

• Knowledge Sharing: Encouraging the sharing of insights, best practices, and learnings, particularly around new tools and methodologies like AI-augmented design.

📝 Enhancement Note: Platform Science fosters a culture that values innovation, user empathy, and collaborative problem-solving, with a clear emphasis on leveraging data and AI to drive product success.

⚡ Challenges & Growth Opportunities

Challenges:

• Integrating AI Seamlessly: Effectively incorporating AI tools into existing design workflows without compromising quality or user experience, and staying updated with rapidly evolving AI technologies.

• Balancing User Needs with Business Goals: Navigating the complexities of meeting diverse user needs while aligning with strategic business objectives and technical constraints.

• Cross-functional Alignment: Ensuring consistent understanding and buy-in on design decisions across multiple departments (Product, Data, Engineering, Marketing) with potentially different priorities.

• Rapid Iteration in a Dynamic Market: Keeping pace with the fast-evolving IoT and logistics technology landscape, requiring continuous learning and adaptation of design strategies.

Learning & Development Opportunities:

• AI in Design Specialization: Opportunities to become an expert in AI-augmented design tools and methodologies, a highly sought-after skill.

• Product Strategy & Analytics: Deepen understanding of product strategy and data analysis through close collaboration with Product and Data teams.

• Industry Expertise: Gain in-depth knowledge of the transportation, logistics, and IoT sectors, understanding complex industry challenges and user needs.

• Mentorship: Potential to be mentored by senior designers or product leaders, and to mentor junior members of the design community.

• Conferences & Training: Access to industry conferences, workshops, and online courses focusing on UX/UI, AI, product management, and the technology sector.

📝 Enhancement Note: The role presents exciting challenges related to cutting-edge AI integration and cross-functional collaboration, offering significant opportunities for professional growth and specialization in high-demand areas of product design.

💡 Interview Preparation

Strategy Questions:

• "How would you approach designing a new feature for our IoT platform that leverages AI to predict potential equipment failures for fleet vehicles?" (Focus on process, research, AI integration, and metrics.)

• "Describe a time you had to influence stakeholders from different departments (e.g., Engineering, Product) to adopt your design recommendation. What was your strategy?" (Focus on communication, negotiation, and collaborative problem-solving.)

• "Imagine we have limited user data for a new feature. How would you proceed with the design process to ensure user needs are met?" (Focus on research methods, hypothesis testing, and iterative design.) Company & Culture Questions:

• "What interests you most about Platform Science and our mission to connect everything that moves?" (Show genuine interest and research.)

• "How do you see AI evolving the role of a Product Designer, and how have you started integrating AI into your work?" (Demonstrate forward-thinking and practical application.)

• "Describe your experience working in a hybrid environment and how you maintain effective collaboration with remote and in-office team members." (Highlight communication and teamwork skills.) Portfolio Presentation Strategy:

• Start with the 'Why': Clearly articulate the business problem and user need for each case study.

• Show, Don't Just Tell: Use visuals (wireframes, prototypes, user flows, screenshots) to illustrate your design process and solutions.

• Quantify Impact: Whenever possible, present metrics that demonstrate the success of your designs (e.g., increased engagement, reduced errors, improved satisfaction).

• Highlight AI Use: Dedicate specific points in your presentation to how AI was used, the benefits, and any challenges encountered.

• Collaborative Process: Emphasize your role within the team, showcasing how you collaborated with engineers, product managers, and data analysts.

📝 Enhancement Note: Candidates should prepare to discuss their design process, AI integration experience, and collaborative skills, using specific examples from their portfolio to demonstrate their capabilities and strategic thinking.

📌 Application Steps

To apply for this Product Designer position:

• Submit your application through the provided application link on Greenhouse.

• Portfolio Customization: Tailor your portfolio to highlight projects that demonstrate experience with user research, AI-augmented workflows, data-driven design, and cross-functional collaboration. Prioritize case studies that show a clear process and measurable impact.

• Resume Optimization: Ensure your resume clearly outlines your experience with relevant tools (Figma, Pendo, ShadCN, Tailwind), methodologies (Design Thinking, AI integration), and industries (IoT, logistics, transportation). Use keywords from the job description.

• Interview Preparation: Practice articulating your design process and showcasing your portfolio with a focus on storytelling, impact, and AI integration. Prepare to discuss how you would approach specific design challenges relevant to Platform Science's domain.

• Company Research: Thoroughly research Platform Science, its mission, its products, and its industry. Understand its approach to innovation and AI, and be ready to articulate why you are a good fit for their user-centric and collaborative culture.

⚠️ 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.