Sr. Product Designer

📍 Job Overview

Job Title: Sr. Product Designer

Company: Platform Science

Location: Londrina, Paraná, Brazil

Job Type: Full-time

Category: Product Design / GTM Operations Enablement

Date Posted: August 12, 2026

Experience Level: 5-10 Years

Remote Status: Hybrid

🚀 Role Summary

• Drive user-centric product strategy execution by deeply understanding user needs and market opportunities within the IoT and transportation sectors.

• Leverage cutting-edge AI-augmented workflows and agentic tools to accelerate design exploration, hypothesis testing, and rapid prototyping.

• Conduct comprehensive user research and experimentation to identify key user personas, pain points, and actionable insights for product enhancement.

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

• Facilitate cross-functional workshops and discussions with Product, Data, Marketing, and Engineering to champion user-centric decision-making and align GTM strategies.

📝 Enhancement Note: This role bridges product design with GTM operations by focusing on user-centric strategies that directly impact product adoption and market success. The emphasis on AI-augmented workflows and technical collaboration highlights a modern approach to product development, requiring designers to be both creative and technically adept.

📈 Primary Responsibilities

• Strategic Product Vision: Support and execute the overarching product strategy, ensuring that user needs remain central to all design decisions and feature development.

• AI-Powered Design Exploration: Actively utilize AI tools and agentic workflows to expedite the exploration of design solutions, validate hypotheses, and generate functional prototypes.

• User Research & Validation: Lead and execute user research initiatives, including interviews, surveys, and usability testing, to define user personas, uncover pain points, and identify areas for improvement.

• Technical Handoff & Collaboration: Work in tandem with the engineering team, leveraging component systems like ShadCN and Tailwind, to ensure designs are technically viable, scalable, and ready for AI-assisted implementation.

• Cross-Functional Leadership: Lead workshops and facilitate discussions with Product, Data, Marketing, and Engineering stakeholders to drive consensus on user-centric solutions and influence product direction.

• Impact-Oriented Design: Strategically balance design effort and intensity with the potential impact on key product metrics, ensuring that design initiatives align with business objectives and GTM success.

📝 Enhancement Note: The responsibilities emphasize a proactive and collaborative approach, requiring the Sr. Product Designer to not only create designs but also to influence strategy and drive user-centricity across multiple departments. The integration of AI and technical collaboration with engineering are critical components of this role.

🎓 Skills & Qualifications

Education:

• Bachelor's degree in Design, Computer Science, Information Technology, or a related field.

• Postgraduate degree or complementary courses in Design or Product Management are highly desirable. Experience:

• 5-10 years of progressive experience in product design, with a strong focus on user-centered design principles and a proven track record of delivering successful digital products.

• Experience in hybrid work environments and collaborating with distributed, multidisciplinary teams. Required Skills:

• Product Design Expertise: Demonstrated proficiency in the end-to-end product design process, from discovery and research to prototyping and implementation.

• AI-Augmented Workflow Integration: Ability to learn, adapt, and effectively integrate new AI tools and agentic workflows into daily design processes to enhance efficiency and creativity.

• User Research & Discovery: Expertise in facilitating design thinking workshops, design sprints, and conducting user research to inform product strategy and identify user needs.

• Prototyping & Experimentation: Proven experience with rapid prototyping, A/B testing, and experimentation methodologies to validate design concepts and user flows.

• Technical Collaboration: Solid understanding of front-end development concepts, including HTML, CSS, component libraries (e.g., ShadCN, Tailwind), and design tokens, to effectively communicate with engineers.

• Data-Driven Decision Making: Familiarity with product analytics tools such as Pendo, Hotjar, Google Analytics, and Google Tag Manager to inform design decisions and measure impact.

• Advanced English Proficiency: Essential for seamless communication and collaboration with global teams and stakeholders.

Preferred Skills:

• System Design: Experience with building and maintaining design systems to ensure consistency and scalability across products.

• Mobility/Logistics/Transportation Industry Experience: Previous work on products within the mobility, logistics, or transportation sectors.

• Agile Methodologies: Familiarity with agile development frameworks and how design integrates into iterative product development cycles.

📝 Enhancement Note: The requirements blend traditional product design skills with emerging technologies like AI and a strong emphasis on technical understanding and data analysis. The need for advanced English is critical for a global company.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Showcase 3-5 comprehensive case studies demonstrating end-to-end product design projects, highlighting your role, process, and impact.

• Clearly articulate the problem statement, your design process (including research, ideation, prototyping, and testing), and the rationale behind key design decisions.

• Quantify the impact of your designs using relevant metrics, demonstrating improvements in user engagement, conversion rates, efficiency, or other key performance indicators.

• Include examples of how you have leveraged AI tools or methodologies in your design process, if applicable.

• Demonstrate your ability to collaborate effectively with cross-functional teams (Product, Engineering, Data) and how you incorporated their feedback. Process Documentation:

• Provide examples of how you document design processes, user research findings, and design specifications for engineering handoff.

• Illustrate your approach to iterative design, including how you incorporate feedback and adapt designs based on user testing and data analysis.

• Showcase your understanding of component-based design systems and how you contribute to or utilize them.

📝 Enhancement Note: A strong portfolio is crucial for this role, requiring detailed case studies that highlight not only design execution but also strategic thinking, user impact, and adaptability to new technologies like AI. The ability to quantify results is paramount.

💵 Compensation & Benefits

Salary Range:

The estimated annual salary range for a Sr. Product Designer in Londrina, Brazil, with 5-10 years of experience, is R$ 100,000 - R$ 180,000 BRL. This estimation is based on industry benchmarks for senior design roles in Brazil, considering the tech sector and the specific requirements of AI integration and GTM enablement. Factors such as specific skills, interview performance, and the company's compensation philosophy will influence the final offer.

Benefits:

• Health Insurance: Comprehensive medical, dental, and vision coverage.

• Paid Time Off: Generous vacation days, sick leave, and public holidays.

• Professional Development: Opportunities for training, workshops, conferences, and access to learning platforms to enhance skills in AI, product design, and GTM strategies.

• Hybrid Work Model: Flexibility to work from home and in the office, promoting work-life balance.

• Collaborative Environment: Access to a supportive and innovative team culture.

• Stock Options/Equity: Potential for equity participation in a growing tech company.

• Retirement Savings Plan: Company-sponsored retirement plan.

Working Hours:

• Standard full-time working hours (approximately 40 hours per week).

• Flexibility is offered within the hybrid model, with core hours expected for team collaboration and meetings.

📝 Enhancement Note: Salary estimation is based on general market data for senior tech roles in Brazil and is subject to significant variation. The benefits package aims to be competitive for a tech company, with a focus on professional growth and work-life balance.

🎯 Team & Company Context

🏢 Company Culture

Industry: Technology (IoT, Transportation, Supply Chain)

Company Size: Platform Science is a growing company, likely between 200-500 employees, indicating a dynamic environment with opportunities for impact.

Founded: Founded in 2015, Platform Science is established yet still in a growth phase, fostering innovation and agility.

Team Structure:

• The Sr. Product Designer will be part of a multidisciplinary team comprising Product, Data, and Engineering professionals.

• This structure suggests a collaborative, agile, and product-focused environment where design is integrated early in the development lifecycle.

• Reporting likely to a Product Design Lead or Head of Product, with close collaboration across all levels of product and engineering. Methodology:

• User-Centric Design: A core methodology focusing on understanding and solving user problems.

• AI-Augmented Workflows: Embracing AI to enhance efficiency, creativity, and speed in design processes.

• Data-Driven Decision Making: Utilizing product analytics and user data to inform design choices and measure success.

• Agile Development: Likely operating within agile frameworks, requiring iterative design and close collaboration with development teams.

• Cross-Functional Collaboration: Emphasis on teamwork and open communication across departments to achieve shared goals.

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

📝 Enhancement Note: The company culture appears to value innovation, collaboration, and a user-focused approach, amplified by the integration of AI. The team structure promotes cross-functional synergy, essential for a role that bridges design and GTM enablement.

📈 Career & Growth Analysis

Operations Career Level: Sr. Product Designer signifies a senior individual contributor role with significant autonomy and influence. This role is critical in shaping the user experience and directly contributing to the success of GTM strategies through user-centric product development.

Reporting Structure: The role likely reports to a Product Design Manager or Head of Product. The Sr. Product Designer will collaborate extensively with Product Managers, Data Analysts, UX Researchers, and Software Engineers, acting as a key liaison between user needs and technical implementation.

Operations Impact: The Sr. Product Designer's impact is multifaceted:

• Product Adoption: By creating intuitive and effective user experiences, the designer directly influences product adoption rates and customer satisfaction.

• GTM Strategy Enablement: User-centric designs that solve real problems for supply chain professionals are crucial for effective market positioning and sales enablement.

• Efficiency Gains: Leveraging AI and optimizing design workflows can lead to faster product development cycles, enabling quicker market responses.

• Data-Informed Iteration: Using analytics to guide design improvements ensures continuous product evolution that aligns with business goals.

Growth Opportunities:

• Leadership in Design: Potential to lead design initiatives, mentor junior designers, and influence design best practices within the company.

• Specialization in AI Design: Deepen expertise in AI-augmented design workflows and agentic tools, becoming a go-to resource for cutting-edge design methodologies.

• Product Strategy Influence: Grow into a more strategic product role, contributing more significantly to roadmap planning and business objectives.

• Cross-Functional Mobility: Develop a strong understanding of GTM, product management, and data analysis, opening doors to related career paths.

• Industry Expertise: Become a subject matter expert in the logistics and transportation IoT space.

📝 Enhancement Note: This role offers significant opportunities for professional growth, moving beyond traditional design execution into strategic influence, technological adoption, and leadership within a growing tech company.

🌐 Work Environment

Office Type: Hybrid model, indicating a blend of remote work and in-office collaboration. This suggests a modern, flexible work environment designed to cater to diverse working styles.

Office Location(s): Londrina, PR, Brazil. This location serves as a hybrid hub, likely offering collaborative spaces for team meetings, workshops, and focused work sessions.

Workspace Context:

• Collaborative Hubs: The office environment likely features open spaces, meeting rooms, and potentially dedicated areas for creative work and brainstorming sessions.

• Technology-Rich: Expect access to necessary design software, collaboration tools, and potentially high-performance computing resources to support AI-augmented workflows.

• Team Interaction: Opportunities for in-person interaction with product managers, engineers, data scientists, and fellow designers, fostering strong working relationships and knowledge sharing.

• Flexibility: The hybrid setup allows for focused individual work at home, while office days are optimized for collaborative activities.

Work Schedule:

• Standard full-time hours (approx. 40 hours/week).

• Core working hours will likely be established to ensure team availability for meetings and collaborative tasks, with flexibility around start and end times.

📝 Enhancement Note: The hybrid environment in Londrina is designed to balance individual productivity with team collaboration, leveraging technology to support a flexible and modern workflow.

📄 Application & Portfolio Review Process

Interview Process:

1. Initial Screening: A brief call with a recruiter to assess basic qualifications, interest, and cultural fit.

2. Hiring Manager Interview: Deeper dive into your experience, design philosophy, and approach to AI-augmented workflows and user research. Expect questions about your portfolio.

3. Portfolio Presentation & Technical Interview: A dedicated session where you present 2-3 key case studies from your portfolio. This will be followed by technical questions related to front-end concepts, design systems, and your approach to collaborating with engineers. You may also be asked to discuss your experience with product analytics tools.

4. Cross-Functional Team Interview: Meet with Product Managers, Engineers, and/or Data Scientists to assess your collaboration style, ability to communicate design rationale, and how you integrate user needs with technical constraints and business goals.

5. Final Interview: Potentially with a senior leader (e.g., Head of Product, VP of Engineering) to discuss strategic alignment, leadership potential, and overall fit with the company's vision.

Portfolio Review Tips:

• Storytelling is Key: Structure your case studies as narratives – problem, process, solution, and impact. Clearly articulate why you made certain decisions.

• Quantify Your Impact: Use metrics whenever possible. How did your design improve user engagement, conversion, efficiency, or reduce friction?

• Showcase Your Process: Detail your research methods, ideation techniques, prototyping tools, and testing strategies. Highlight how you iterated based on feedback.

• Highlight AI Integration: If you have experience with AI tools in design, make sure to showcase it. Explain how it accelerated your process or led to better outcomes.

• Technical Fluency: Be prepared to discuss your understanding of front-end technologies (HTML, CSS, components) and how you ensure designs are technically feasible.

• User-Centricity: Emphasize how user needs drove your design decisions throughout the process.

Challenge Preparation:

• Design Exercise: You might receive a take-home design challenge or a live design exercise focusing on a specific problem relevant to Platform Science's domain (e.g., optimizing a dashboard for fleet managers, designing a feature for driver communication).

• Focus on Process: For any challenge, clearly outline your approach, assumptions, research methodology (even if simulated), and how you would validate your solution.

• AI Integration: Consider how AI could assist in solving the presented problem or accelerating your design process for the challenge.

• Presentation Skills: Practice presenting your work concisely and effectively, anticipating questions about your rationale and potential trade-offs.

📝 Enhancement Note: The interview process is designed to evaluate not only design skills but also strategic thinking, technical understanding, collaboration capabilities, and adaptability to AI-driven design. A well-prepared portfolio is paramount.

🛠 Tools & Technology Stack

Primary Tools:

• Design & Prototyping: Figma, Sketch, Adobe XD (or similar industry-standard tools). Proficiency in at least one is expected.

• AI-Augmented Design Tools: Exposure to or proficiency in AI-powered design assistants, generative AI tools for ideation/prototyping, and agentic workflows.

• Component Systems: Experience with or ability to quickly learn and work with systems like ShadCN and Tailwind CSS for efficient and consistent design implementation.

• Design Systems: Familiarity with establishing, maintaining, or contributing to design systems.

Analytics & Reporting:

• Product Analytics: Pendo, Hotjar, Google Analytics, Google Tag Manager. Essential for understanding user behavior and measuring design impact.

• Data Visualization: Tools for interpreting data and presenting insights (e.g., Tableau, Looker, or internal dashboards).

CRM & Automation:

• While not a direct CRM role, understanding how product design impacts CRM data and sales enablement processes is beneficial. Familiarity with how design integrates into broader business automation workflows is a plus.

📝 Enhancement Note: The technology stack emphasizes modern design tools, a strong focus on AI integration, and proficiency with front-end frameworks and analytics platforms. The ability to adapt to new AI tools is a key differentiator.

👥 Team Culture & Values

Operations Values:

• User-Centricity: A deep commitment to understanding and solving user problems, ensuring that user needs are at the forefront of all product decisions.

• Innovation & Agility: Embracing new technologies like AI and adopting agile methodologies to drive continuous improvement and rapid iteration.

• Collaboration & Transparency: Fostering an open environment where ideas are shared freely, feedback is constructive, and teams work together towards common goals.

• Data-Driven Approach: Utilizing data and analytics to inform decisions, measure impact, and ensure that design efforts are aligned with business objectives.

• Resilience & Creativity: Approaching challenges with a problem-solving mindset, demonstrating creativity in finding solutions, and adapting to evolving market demands.

Collaboration Style:

• Cross-Functional Integration: Actively seeking opportunities to collaborate with Product, Data, and Engineering teams, ensuring seamless integration of design into the entire product lifecycle.

• Workshop Facilitation: Leading and participating in workshops to drive consensus, brainstorm solutions, and align stakeholders on user-centered strategies.

• Open Communication: Maintaining clear and consistent communication channels, providing constructive feedback, and actively listening to diverse perspectives.

• Knowledge Sharing: Willingness to share insights, best practices, and learnings within the design team and across other departments.

📝 Enhancement Note: The culture values a blend of user empathy, technological innovation, collaborative teamwork, and data-informed decision-making, all crucial for a role shaping product strategy and GTM success.

⚡ Challenges & Growth Opportunities

Challenges:

• Rapidly Evolving AI Landscape: Staying abreast of the fast-paced advancements in AI tools and integrating them effectively and ethically into design workflows.

• Balancing User Needs with Technical Constraints: Effectively translating complex user requirements into technically feasible solutions, especially when working with AI-generated components.

• Cross-Functional Alignment: Ensuring consistent understanding and prioritization of user-centricity across diverse teams (Product, Engineering, Data, Sales) with potentially competing priorities.

• Quantifying Design Impact: Clearly demonstrating the ROI and business impact of design decisions, particularly in a hybrid AI/human design process.

• Defining "Sr." Level Contributions: Moving beyond execution to strategic influence and thought leadership within the design function and broader product organization.

Learning & Development Opportunities:

• AI Design Specialization: Deepen expertise in AI-driven design tools, prompt engineering for design, and ethical AI considerations in UX.

• Product Strategy & GTM Enablement: Gain a deeper understanding of product roadmap planning, go-to-market strategies, and how design contributes to sales enablement.

• Advanced Analytics Interpretation: Enhance skills in interpreting complex product analytics to drive more sophisticated design optimizations.

• Leadership & Mentorship: Opportunities to mentor junior designers, lead design initiatives, and contribute to the growth of the design team.

• Industry Immersion: Develop deep knowledge of the transportation and logistics IoT sector, becoming a valuable asset in designing solutions for this niche.

📝 Enhancement Note: The challenges are inherent to a forward-thinking tech company embracing AI, while growth opportunities focus on specialization, strategic contribution, and leadership within the product development lifecycle.

💡 Interview Preparation

Strategy Questions:

• "Describe how you would approach supporting the execution of a product strategy, ensuring user needs are at the core of every decision, especially when integrating AI tools." (Prepare to discuss frameworks for user research, strategy alignment, and how AI can augment, not replace, user-centricity.)

• "How do you balance the need for rapid prototyping with AI assistance against the need for thorough user validation and technical feasibility? Provide an example." (Focus on iterative processes, risk mitigation, and how you'd ensure AI-generated prototypes are robust.)

• "Walk me through a time you had to influence stakeholders (Product, Engineering, Sales) to adopt a user-centric design decision that might have faced resistance. What was your approach and the outcome?" (Prepare a STAR method story emphasizing communication, data, and persuasion skills.) Company & Culture Questions:

• "What excites you about Platform Science's mission to connect everything that moves, and how do you see your design skills contributing to that vision?" (Research the company's mission, values, and recent news.)

• "How do you envision the role of AI in the future of product design, and how would you integrate it into your daily workflow at Platform Science?" (Showcase your forward-thinking perspective and practical application ideas.)

• "Describe your experience working in a hybrid environment and collaborating with multidisciplinary teams. How do you ensure effective communication and alignment?" (Highlight your adaptability, communication strategies, and experience with collaboration tools.) Portfolio Presentation Strategy:

• Select Diverse Case Studies: Choose projects that showcase different aspects of your skills: a complex problem solved with deep research, a project leveraging AI or new technology, and a successful collaboration with engineering.

• Focus on the "Why": For each case study, clearly explain the problem, your thought process, the rationale behind your design decisions, and the trade-offs you considered.

• Quantify Results: Present metrics that demonstrate the positive impact of your work. If exact numbers aren't available, discuss how you would measure success.

• Technical Dialogue: Be prepared to discuss the technical aspects of your designs and how you collaborated with engineers. Show your understanding of component systems and front-end constraints.

• AI Integration Narrative: If applicable, weave in how AI tools were used, the benefits they provided, and any challenges encountered.

• Conciseness: Aim for clear, concise presentations, leaving ample time for Q&A.

📝 Enhancement Note: Preparation should focus on demonstrating strategic thinking, adaptability to AI, strong collaboration skills, and a deep understanding of user-centric design principles, all supported by concrete examples from your portfolio.

📌 Application Steps

To apply for this Sr. Product Designer position:

• Submit your application through the Platform Science careers portal via the provided link.

• Tailor Your Resume: Highlight experience with AI-augmented workflows, user research, prototyping, design systems, and collaboration with engineering teams. Use keywords from the job description naturally.

• Curate Your Portfolio: Select 2-3 of your strongest case studies that best represent your skills and experience relevant to this role. Focus on clear storytelling, quantifiable results, and your design process, especially any use of AI.

• Prepare Your Presentation: Practice walking through your selected portfolio case studies, focusing on clarity, conciseness, and your ability to articulate your design rationale and impact. Be ready to discuss technical aspects and collaboration.

• Research Platform Science: Understand their mission, products, and recent developments in the transportation IoT space. Consider how your design philosophy aligns with their culture and values.

⚠️ 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.