Senior Product Designer

📍 Job Overview

Job Title: Senior Product Designer

Company: WhyHireWrong?

Location: São Paulo, Brazil

Job Type: Full-time

Category: Product Design / UX Design (with a focus on Operations & AI)

Date Posted: May 12, 2026

Experience Level: Senior (5+ years)

Remote Status: Fully Remote (with preference for candidates in São Paulo)

🚀 Role Summary

• Design and architect AI-native enterprise workflows and operational intelligence systems for healthcare institutions, focusing on executive dashboards and backoffice applications.

• Translate complex clinical, behavioral, and operational datasets into intuitive interfaces that drive decision-making for hospital leadership, operators, and auditors.

• Develop user experiences for human-in-the-loop AI validation, protocol adherence monitoring, and deviation flagging within a healthcare operations context.

• Partner closely with engineering teams to ensure the technical scalability and efficient implementation of designed systems.

• Contribute to the development of a comprehensive design system and AI interaction frameworks for enterprise-grade healthcare solutions.

📝 Enhancement Note: While the title is "Senior Product Designer," the core responsibilities heavily lean into designing operational workflows and intelligence systems, particularly within the AI and healthcare domains. This role requires a strong understanding of B2B SaaS, complex data visualization, and process optimization, making it highly relevant to operations professionals interested in the intersection of design, technology, and business efficiency. The emphasis on "AI-native enterprise workflows" and "operational intelligence systems" indicates a need for a designer who can think strategically about how technology can improve operational outcomes.

📈 Primary Responsibilities

• Design AI-native enterprise workflows tailored for healthcare operations, ensuring seamless integration into existing hospital infrastructures.

• Architect and visualize executive dashboards and operational intelligence systems that provide actionable insights to hospital leadership, operators, and auditors.

• Transform dense clinical, behavioral, and operational datasets into intuitive, decision-ready interfaces that simplify complex information.

• Build robust UX patterns for AI-generated insights, recommendations, and clear protocol deviation alerts, enabling proactive management.

• Create user-centered human-in-the-loop validation and auditing experiences for healthcare enterprises, ensuring accuracy and compliance.

• Collaborate directly with engineering teams to design technically scalable systems and ensure fidelity in implementation.

• Influence how institutions measure physician behavior, protocol adherence, and overall operational efficiency through data-driven design.

• Contribute to the evolution of the company's design system and AI interaction frameworks to maintain consistency and foster innovation.

📝 Enhancement Note: The responsibilities highlight a deep dive into the operational aspects of healthcare, requiring the designer to understand and improve complex B2B processes. The emphasis on "operational intelligence systems," "protocol adherence," and "operational efficiency" suggests a need for a candidate who can not only create visually appealing designs but also deeply understand the business impact and operational improvements driven by these systems.

🎓 Skills & Qualifications

Education: While no specific degree is mandated, a strong portfolio demonstrating advanced product thinking and design execution is paramount. A background in Design, HCI, Computer Science, or a related field would be beneficial.

Experience: 5+ years of dedicated experience in product design or UX design, with a proven track record of delivering complex B2B or workflow-heavy products. This is not an entry-level or mid-level stepping stone.

Required Skills:

• Portfolio: A comprehensive portfolio showcasing exceptional product thinking, detailed decision-making processes, and successful execution of complex B2B or workflow-intensive products.

• B2B/Workflow Design: Proven experience designing intricate B2B products or systems with heavy workflow components; healthcare experience is a plus but not mandatory.

• Language Fluency: Absolute fluency in both Portuguese and English (written and spoken) is a hard requirement for effective communication with diverse stakeholders.

• Systems Thinking & Information Architecture: Demonstrable ability to structure complexity, design scalable information architectures, and create user experiences that are easy to navigate and understand.

• Ownership & Speed: A high degree of personal accountability, the ability to make autonomous decisions, and a proactive approach to shipping products without needing constant consensus.

• Design Tools: Proficiency in Figma and familiarity with modern design workflows and prototyping tools.

• Simplification Skills: The ability to distill complex operational data and workflows into immediately understandable and actionable user interfaces.

Preferred Skills:

• Experience in the healthcare industry, understanding its unique operational challenges and regulatory landscape.

• Familiarity with AI/ML concepts, particularly in designing human-in-the-loop systems and AI-generated insight interfaces.

• Experience contributing to or building design systems.

• User research methodologies and the ability to conduct user interviews and translate findings into design solutions.

📝 Enhancement Note: The requirement for 5+ years of experience and a portfolio that "shows exceptional product thinking and how you arrived at your decisions" indicates a need for a seasoned designer capable of strategic problem-solving, not just execution. The mandatory language requirement is critical for roles operating in Brazil and engaging with local stakeholders. The emphasis on "systems thinking" and "information architecture" directly aligns with the needs of designing complex operational platforms.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Case Studies: Detailed case studies that illustrate the entire design process, from problem identification and user research to ideation, wireframing, prototyping, and final UI design.

• Problem Framing: Clear articulation of the business and user problems addressed by each project, demonstrating an understanding of operational challenges.

• Decision Rationale: Explicit explanation of design decisions, including trade-offs made, user testing insights, and how the design addressed specific operational requirements or data complexity.

• Systemic Thinking: Projects that showcase an ability to design interconnected systems, complex workflows, or information architectures rather than isolated UI elements.

• Impact Demonstration: Evidence of the impact of your designs, ideally with metrics related to user efficiency, task completion rates, adoption, or operational improvements.

Process Documentation:

• Workflow Design: Examples of how you have mapped, analyzed, and redesigned complex user workflows to improve efficiency and user experience.

• Information Architecture: Demonstrations of your ability to organize and structure large amounts of information in a clear, scalable, and user-friendly manner, particularly for dashboards and reporting tools.

• AI Interaction Design: Prototypes or case studies that illustrate the design of AI-powered features, human-in-the-loop validation flows, or systems that interpret and present AI-generated insights.

📝 Enhancement Note: For a role focused on operational intelligence and AI, the portfolio must go beyond visual design. It needs to demonstrate a deep understanding of user workflows, data interpretation, and the strategic application of design to solve complex operational problems in an enterprise B2B context. The emphasis on "product thinking" and "how you arrived at your decisions" means candidates must be ready to articulate their thought process, not just present final designs.

💵 Compensation & Benefits

Salary Range: For a Senior Product Designer with 5+ years of experience in São Paulo, Brazil, and fluency in both Portuguese and English, the estimated salary range is BRL 15,000 to BRL 28,000 per month, depending on experience, skills, and negotiation. This translates to an annual range of approximately BRL 180,000 to BRL 336,000.

Benefits:

• Competitive Compensation: A salary package designed to attract and retain top talent in the market.

• Equity Ownership: Opportunity to receive stock options or equity in the company, aligning personal success with company growth.

• Category-Defining Product Design: The chance to shape and design innovative, category-defining AI products within the healthcare sector.

• Expert Collaboration: Work alongside founders, experienced engineers, and deep domain experts in healthcare and AI.

• High Autonomy: Significant ownership and independence in your role, with minimal micromanagement, fostering a proactive and self-directed work environment.

• Strategic Exposure: Direct involvement and visibility into company strategy and critical product decisions.

• Impactful AI Integration: The opportunity to influence the integration of AI into healthcare operations at a large scale.

Working Hours: While the standard is 40 hours per week, the role emphasizes autonomy and ownership, suggesting flexibility in how work is managed, as long as deliverables are met and collaboration is maintained.

📝 Enhancement Note: The salary estimate is based on research for Senior Product Designer roles in São Paulo, Brazil, considering the high demand for specialized skills (AI, B2B, healthcare) and the mandatory language requirements. Benefits like equity and direct exposure to strategy are significant for senior roles in growing startups. The "no micromanagement" aspect points to a culture valuing trust and results.

🎯 Team & Company Context

🏢 Company Culture

Industry: Healthcare Technology / AI / Enterprise Software. The company is building a bespoke AI healthcare stack for Latin America, aiming to significantly improve operational efficiency and patient outcomes through technology.

Company Size: The description suggests a growing startup environment, likely in the early to growth stages (e.g., 20-100 employees), indicated by the "backed by prominent global investors" and the need to build its stack from scratch. This size implies a dynamic, fast-paced environment with significant opportunities for impact.

Founded: The company is relatively new, focusing on building its AI stack from the ground up in the region, indicating innovation and a forward-thinking approach.

Team Structure:

• Cross-functional Pods: Likely organized into small, agile teams comprising product managers, designers, engineers (front-end, back-end, AI/ML), and potentially domain experts (clinicians, operators).

• Direct Reporting: The Senior Product Designer will likely report to a Head of Product, Design Lead, or potentially one of the founders, given the startup context and emphasis on direct exposure to strategy.

• Collaborative Environment: Expect close collaboration with engineering and product management, with direct interaction with hospital stakeholders for research and feedback.

Methodology:

• AI-Native Design: Focus on designing systems that leverage AI at their core, not as an add-on. This includes human-in-the-loop processes and AI-generated insights.

• Data-Driven Decisions: Emphasizing the use of clinical, behavioral, and operational data to inform design and product strategy.

• Lean & Agile: Likely follows agile development methodologies to iterate quickly, gather feedback, and adapt to market needs.

• User-Centricity within Operations: While designing for enterprise users (executives, operators), the focus is on understanding their real-world workflows and pain points to drive adoption and efficiency.

Company Website: https://whyhirewrong.com (derived from domain)

📝 Enhancement Note: The company's focus on building an AI healthcare stack from scratch in Latin America positions it as an innovator. The startup environment implies a culture of high ownership, rapid iteration, and direct impact. The "operations" aspect is central, as the product aims to improve hospital operational intelligence and efficiency.

📈 Career & Growth Analysis

Operations Career Level: This is a Senior Product Designer role, indicating a level of expertise and autonomy. It's positioned as a non-junior, non-mid-level step-up, meaning candidates are expected to operate at a high level of strategic thinking and execution, influencing product direction and design standards. The role's focus on "designing operational intelligence systems" and "AI-native enterprise workflows" means career growth could lead into Product Management, Design Leadership, or specialized AI/UX roles within enterprise SaaS.

Reporting Structure: The Senior Product Designer will likely report to a Head of Product or a senior product leader. Given the startup's stage and focus on founders, there's a high possibility of direct interaction and mentorship from founders, offering exposure to strategic decision-making at the highest level. The emphasis on "massive ownership and autonomy" suggests a flat hierarchy with clear communication channels.

Operations Impact: The role has a direct and significant impact on the operational efficiency and effectiveness of healthcare institutions. By designing systems that improve protocol adherence, save physician time, and provide actionable insights to leadership, the designer is directly contributing to improved patient care and hospital operational performance. This is a tangible impact on real-world healthcare operations.

Growth Opportunities:

• Design Leadership: Potential to grow into a Lead Product Designer or Head of Design role as the company scales, building and mentoring a design team.

• Product Strategy: Deep involvement in product strategy can lead to a transition or dual role in product management, focusing on defining the product roadmap and vision.

• AI/UX Specialization: Developing expertise in designing AI-native enterprise systems, a highly sought-after skill set, opening doors to specialized roles in AI product development.

• Industry Expertise: Gaining deep domain knowledge in healthcare operations and AI, becoming a valuable asset in a rapidly growing sector.

• Startup Growth: Experiencing the full lifecycle of a venture-backed startup, from early-stage development to scaling, offering invaluable entrepreneurial experience.

📝 Enhancement Note: The growth opportunities are significant due to the company's innovative focus and startup nature. The role offers a chance to develop specialized skills in AI and healthcare operations design, which are high-demand areas. The direct exposure to founders and strategic decisions is a key differentiator for career development.

🌐 Work Environment

Office Type: The role is advertised as "Remote, São Paulo, Brazil," indicating a remote-first or fully remote work structure. While the primary location is São Paulo, the job is open to remote candidates. If remote, it implies a home-based work setup. If São Paulo-based, it could be a hybrid model or office-based, but the description strongly emphasizes remote flexibility.

Office Location(s): While the job is remote, the mention of São Paulo, Brazil, as a primary location suggests that the company may have a physical presence or a strong connection to this region, potentially for team meetups, client interactions, or as a hub for employees.

Workspace Context:

• Remote Autonomy: A work environment that supports remote collaboration, emphasizing asynchronous communication and self-management.

• Technology Stack: Access to modern design and collaboration tools (like Figma, communication platforms) necessary for effective remote work.

• Cross-functional Interaction: Opportunities to engage with a diverse team of engineers, product managers, and potentially clinicians, fostering a dynamic and collaborative remote working experience.

• Focus on Output: The culture likely values results and impact over physical presence, encouraging a productive and efficient remote work setup.

Work Schedule: The role is full-time, with an implied 40-hour work week. However, the emphasis on "massive ownership and autonomy" suggests flexibility in daily scheduling, provided that core collaboration hours are met and responsibilities are fulfilled. This allows for better work-life integration, especially for remote employees.

📝 Enhancement Note: The remote nature of the role, coupled with the São Paulo location, suggests a company that embraces distributed workforces. The emphasis on autonomy and ownership implies a trust-based culture where employees are empowered to manage their time effectively to achieve goals.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A review of your resume and portfolio to assess experience, skills, and alignment with the role's requirements, particularly the product thinking and workflow design aspects.

• Portfolio Deep Dive: A session with a hiring manager or design lead to walk through your portfolio. Expect detailed questions about your design process, decision-making, problem-solving approach, and how you handled complex challenges. Be prepared to discuss your role in each project and the impact of your work.

• Technical/Systems Challenge: A design exercise, potentially a take-home assignment or a live whiteboard session, focused on designing a complex workflow or operational intelligence system. This will assess your systems thinking, information architecture, and ability to translate requirements into functional designs.

• Cross-functional Interviews: Meetings with engineers and potentially product managers or founders to assess collaboration style, technical understanding, and cultural fit. Discussions may revolve around how you work with engineers and your approach to scalable design.

• Final Interview: A discussion with founders or senior leadership to delve into your strategic thinking, ownership mentality, and long-term vision for the role and company.

Portfolio Review Tips:

• Focus on Process: Clearly articulate your "why" – the problem, your research, the hypotheses, the iterations, and the rationale behind every design decision.

• Showcase Complexity: Prioritize projects that demonstrate your ability to handle complex B2B workflows, data visualization, or enterprise systems. Healthcare or AI-related projects are a strong plus.

• Quantify Impact: Whenever possible, include metrics or evidence of the positive impact your designs have had on users, operations, or business outcomes.

• Portuguese/English Clarity: Be ready to present and discuss your portfolio in both English and Portuguese, demonstrating your fluency.

• AI & Operations Relevance: Highlight any experience or understanding of AI interaction design, human-in-the-loop systems, or improving operational efficiencies.

Challenge Preparation:

• Understand the Domain: Research healthcare operations, common challenges in hospitals (e.g., protocol adherence, administrative overhead, data silos), and how AI can address them.

• Think Systemically: Practice sketching out complex workflows and information architectures. Consider edge cases, error states, and scalability.

• Focus on User Needs: Even for enterprise tools, understand the end-user's daily tasks, pain points, and desired outcomes.

• AI Integration: Consider how AI can augment user capabilities, provide insights, or automate tasks within the scenarios presented.

• Clear Communication: Be prepared to articulate your thought process clearly and concisely, especially during live design sessions.

📝 Enhancement Note: The interview process is designed to thoroughly assess a candidate's strategic design thinking, problem-solving skills, and ability to operate autonomously in a complex domain. The portfolio and challenge are critical components, requiring candidates to demonstrate not just design skills but also operational understanding and AI design acumen.

🛠 Tools & Technology Stack

Primary Tools:

• Figma: Mandatory for UI design, prototyping, and collaboration. Proficiency is a key requirement.

• Prototyping Tools: Beyond Figma's capabilities, familiarity with other advanced prototyping tools might be beneficial for complex interactions.

• Design System Tools: Experience with tools for managing and contributing to design systems (e.g., Zeroheight, Storybook integration).

Analytics & Reporting:

• Data Visualization Tools: Familiarity with how data is presented in dashboards (e.g., Tableau, Power BI concepts, though direct experience might not be required, understanding principles is key).

• User Analytics Platforms: Experience with tools like Amplitude, Mixpanel, or Google Analytics to understand user behavior and product usage, informing design iterations.

CRM & Automation:

• Enterprise Software Familiarity: Understanding of how B2B enterprise software functions, including user roles, permissions, and workflow automation principles.

• Integration Concepts: Awareness of how different systems might integrate to support complex operational workflows.

📝 Enhancement Note: The emphasis on Figma is standard for modern design roles. However, the role's context in "operational intelligence systems" and "AI-native enterprise workflows" implies a need for a designer who understands data, analytics, and the principles behind enterprise-level SaaS products, even if they aren't directly using the backend tools.

👥 Team Culture & Values

Operations Values:

• Data-Driven Impact: A core belief in using data (clinical, operational, behavioral) to drive design decisions and measure the impact of the product.

• High Ownership & Autonomy: Employees are trusted to take initiative, make decisions, and drive projects forward with minimal oversight.

• Simplification of Complexity: A commitment to making intricate systems and data understandable and usable for enterprise users.

• AI-First Innovation: A forward-thinking approach to leveraging AI to solve critical problems in healthcare operations.

• Collaboration & Expertise: Valuing deep knowledge in engineering, product, design, and healthcare domains, fostering a culture of mutual respect and shared learning.

Collaboration Style:

• Cross-functional Synergy: Active collaboration between design, engineering, and product management is essential for building scalable and effective enterprise solutions.

• Direct User Engagement: Regular interaction with hospital executives, operators, and clinicians to gather insights and validate design solutions.

• Feedback-Rich Environment: An open culture for providing and receiving constructive feedback to continuously improve designs and processes.

• Agile Iteration: A willingness to iterate quickly based on feedback and data, embracing a dynamic development cycle.

📝 Enhancement Note: The company culture appears to be a blend of startup agility, technical innovation (AI), and a deep understanding of operational needs within a critical sector like healthcare. The emphasis on ownership and collaboration suggests a high-performing, results-oriented team.

⚡ Challenges & Growth Opportunities

Challenges:

• Designing for Complexity: Translating dense, multi-faceted clinical and operational data into simple, intuitive user interfaces for diverse stakeholders (executives, operators, auditors).

• AI Interaction Nuances: Designing effective human-in-the-loop AI validation and auditing flows, ensuring trust and accuracy in AI-generated insights and recommendations.

• Healthcare Domain Specificity: Navigating the unique regulatory environment, data sensitivity, and operational workflows inherent in the healthcare industry.

• Scalability & Technical Constraints: Designing systems that are not only user-friendly but also technically scalable and feasible for enterprise deployment.

• Balancing Autonomy with Collaboration: Thriving in a remote, high-ownership environment while ensuring seamless collaboration and alignment with cross-functional teams.

Learning & Development Opportunities:

• AI Design Expertise: Becoming a specialist in designing AI-native enterprise software, a rapidly growing and in-demand field.

• Healthcare Operations Domain Knowledge: Gaining deep insights into the operational intricacies of healthcare institutions, a sector ripe for technological disruption.

• Product Strategy Involvement: Direct exposure to strategic product decisions and roadmap planning, offering a pathway into product leadership.

• Design System Development: Contributing to and potentially leading the development of a comprehensive design system for enterprise AI products.

• Startup Growth Experience: Learning the dynamics of scaling a venture-backed technology company from the ground up.

📝 Enhancement Note: The challenges presented are significant but also represent opportunities for professional growth. Candidates who excel in overcoming these will gain highly valuable skills and experience in a cutting-edge field.

💡 Interview Preparation

Strategy Questions:

• "Describe a time you designed a complex B2B workflow or operational system. What was the problem, your approach, and the outcome?" (Focus on process, systems thinking, and impact).

• "How would you approach designing an interface for validating AI-generated clinical insights for hospital executives?" (Assess AI interaction design, data interpretation, and user-centricity).

• "Imagine you need to create a dashboard that flags protocol deviations in a hospital. What key information would you include, and how would you prioritize it?" (Tests information architecture, data visualization, and operational understanding).

Company & Culture Questions:

• "Why are you interested in designing for healthcare AI operations, specifically?" (Assess motivation and domain interest).

• "How do you typically collaborate with engineers and product managers, especially in a remote setting?" (Evaluate teamwork and communication skills).

• "Describe a situation where you had to make a difficult design decision with incomplete information or conflicting stakeholder needs." (Assess problem-solving, decision-making, and resilience).

Portfolio Presentation Strategy:

• Storytelling: Frame each case study as a narrative: the challenge, your role, the process, the solution, and the quantifiable impact.

• Visual Clarity: Use clear, concise visuals. Ensure any mockups or prototypes are easy to understand.

• Process Emphasis: Detail your thought process, research methods, iteration loops, and the rationale behind key decisions. Don't just show pretty pictures.

• Address Operations & AI: Explicitly connect your design choices to improvements in operational efficiency, data utilization, or AI interaction where applicable.

• Language Fluency: Be prepared to present and answer questions fluently in both English and Portuguese.

📝 Enhancement Note: Interview preparation for this role requires a deep understanding of design strategy, operational impact, and AI integration. Candidates must be ready to articulate their thought process rigorously and demonstrate their ability to handle complex B2B challenges in a remote, high-autonomy environment.

📌 Application Steps

To apply for this Senior Product Designer position:

• Submit your application through the provided link on the WhyHireWrong Teamtailor portal.

• Portfolio Customization: Tailor your portfolio to highlight projects demonstrating complex B2B workflow design, systems thinking, and experience with data-intensive interfaces. Emphasize your process and decision-making.

• Resume Optimization: Ensure your resume clearly states your 5+ years of experience in product/UX design, highlights your fluency in both English and Portuguese, and lists proficiency in Figma and relevant B2B/workflow design experience.

• Prepare Your Narrative: Practice articulating your design process and project impact, as you will be asked to walk through your portfolio in detail. Be ready to discuss your approach to AI interaction design and operational efficiency improvements.

• Company Research: Familiarize yourself with WhyHireWrong's mission, the healthcare AI landscape, and the potential operational challenges their product aims to solve. Understand their focus on Latin America.

⚠️ 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.