AI Product Designer

📍 Job Overview

Job Title: AI Product Designer

Company: Axmed

Location: Remote (Spain-based candidates preferred, must have legal right to work in Spain)

Job Type: Full-Time

Category: Product Design / AI Product Management

Date Posted: August 5, 2026

Experience Level: Mid-Senior (5-10 years)

Remote Status: Fully Remote

🚀 Role Summary

• Design and develop end-to-end user experiences for autonomous AI agents within a B2B health procurement marketplace, focusing on seamless human-AI collaboration.

• Shape the human review layer for AI-driven processes, ensuring efficient oversight, trust, and transparency for buyers, suppliers, and internal operations teams.

• Collaborate intimately with AI Engineers from inception to define the operational boundaries of autonomous agents and the design of human intervention points.

• Translate complex procurement workflows into structured, intuitive interactions that both AI agents and human reviewers can effectively navigate.

📝 Enhancement Note: This role is positioned at the intersection of Product Design and AI Product Management, with a strong emphasis on designing the operational and trust frameworks for autonomous AI agents in a specialized B2B marketplace. The "AI Product Designer" title, combined with responsibilities like designing the "human review layer" and deciding "where an agent should act autonomously," indicates a need for a candidate who can bridge technical AI capabilities with practical user experience and operational efficiency.

📈 Primary Responsibilities

• Design the complete user journey for autonomous AI agents across various stages of the B2B health procurement workflow, from initial request to final fulfillment.

• Develop the interface and interaction models for the human review layer, focusing on clarity, efficiency, and risk mitigation for AI-driven decisions.

• Collaborate closely with AI Engineers to determine the optimal balance between agent autonomy and human oversight, designing distinct experiences for each scenario.

• Implement design patterns that foster trust and transparency, clearly communicating the AI agent's actions, rationale, and providing intuitive override controls for human reviewers.

• Deconstruct and model complex, real-world procurement processes into structured, actionable flows that can be executed by both AI agents and human operators.

• Conduct rapid prototyping, user testing with actual procurement stakeholders and internal teams, and iterate designs based on production performance data and identified failure points.

• Work directly with commercial and operations teams to gain a deep understanding of end-to-end procurement workflows and translate business needs into user-centric AI-powered solutions.

📝 Enhancement Note: The responsibilities emphasize a hands-on, deeply integrated design approach, particularly the requirement to "turn real procurement workflows into clear, structured flows that an agent and a human can both work within." This suggests a need for a designer who can meticulously map processes and translate them into both automated agent actions and user interfaces for human oversight, rather than just focusing on screen design.

🎓 Skills & Qualifications

Education: While no specific degree is mandated, a strong portfolio demonstrating equivalent practical experience in product design, UX/UI, or a related field is essential.

Experience:

• A minimum of 5-10 years of progressive experience in product design, with a significant focus on designing AI-powered products or agentic systems.

• Demonstrated experience in designing products that operate autonomously in production environments, rather than solely AI-assisted features.

• Proven track record of working collaboratively with engineering teams from the earliest stages of product development, influencing technical direction and feasibility.

• Experience in designing for trust, transparency, and human oversight in automated systems, including elements like approval flows, audit trails, override controls, and confidence indicators.

• Experience in user testing and iterating on live products based on real-world usage data and observed failures. Required Skills:

• Product Design Fundamentals: Ability to translate complex real-world workflows into structured, usable, and efficient digital experiences.

• AI Product Design: Proven experience designing for AI-powered products, ideally autonomous agents or systems.

• Human-AI Interaction Design: Expertise in designing interfaces and workflows that facilitate effective collaboration between humans and AI.

• Prototyping & Iteration: Proficiency in rapid prototyping tools and a strong iterative design process driven by user feedback and performance data.

• Workflow Design & Optimization: Ability to map, analyze, and re-engineer complex operational processes for automation and human oversight.

• Trust & Transparency Design: Experience designing mechanisms for building user trust in automated systems (e.g., audit trails, confidence indicators, clear decision-making logic).

• User Testing & Research: Capability to conduct user testing with diverse stakeholders (buyers, suppliers, operations) and derive actionable insights.

• Cross-Functional Collaboration: Excellent communication and collaboration skills to work effectively with AI engineers, product managers, commercial, and operations teams.

Preferred Skills:

• Experience designing for B2B marketplaces, particularly in procurement or supply chain domains.

• Familiarity with healthcare or pharmaceutical procurement processes.

• Understanding of AI/ML concepts relevant to agentic systems and decision-making.

• Experience with data synthesis and designing interfaces for presenting synthesized information to human reviewers.

• Familiarity with agile development methodologies.

📝 Enhancement Note: The "Experience" section emphasizes designing "AI-powered or agentic products, ideally something that runs autonomously in production" and working "directly with engineers from the earliest stages." This highlights a need for a candidate who is not just a visual designer but a product thinker deeply involved in the technical and strategic aspects of AI product development, with a proven ability to ship and iterate on live, autonomous systems.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Case Studies on Autonomous Systems: Showcase at least 1-2 detailed case studies of AI-powered or agentic products you have designed, emphasizing autonomous functions and human oversight mechanisms.

• Workflow Transformation Examples: Include examples where you have mapped a complex real-world workflow and transformed it into a structured, usable digital experience, ideally for an automated or semi-automated system.

• Trust & Transparency Design: Demonstrate how you've designed for trust in automated systems, providing examples of audit trails, override controls, confidence indicators, or clear rationale presentation for AI decisions.

• Prototyping & Iteration Evidence: Provide evidence of your iterative design process, including early prototypes, user testing insights, and how feedback led to significant design changes and product improvements.

• Collaboration Evidence: Highlight projects where you collaborated closely with engineering or product teams from conception, showcasing your influence on product direction and technical feasibility.

Process Documentation:

• Workflow Analysis & Design: Submissions should clearly articulate your process for analyzing existing workflows, identifying automation opportunities, and designing new, efficient, and human-AI integrated processes.

• User Research & Testing Methodologies: Detail your approach to user research, including how you engage with stakeholders (buyers, suppliers, operations) to understand their needs and validate design solutions for AI-driven processes.

• Iterative Development & Feedback Loops: Illustrate how you establish and utilize feedback loops from production systems and user interactions to continuously refine and optimize AI agent behavior and human review interfaces.

📝 Enhancement Note: The portfolio requirements are highly specific to the nature of this role. They emphasize not just visual design skills but the ability to deeply understand and redesign complex operational processes, design for the unique challenges of autonomous AI, and demonstrate a data-driven, iterative approach to product development in a collaborative engineering environment.

💵 Compensation & Benefits

Salary Range:

• Given the "Mid-Senior (5-10 years)" experience level, the "fully remote" nature, and the specialized focus on AI Product Design within a health tech/procurement marketplace, a competitive salary is expected. For a candidate based in Spain, a range of €60,000 - €85,000 annually would be a reasonable estimate, depending on exact experience, demonstrated impact, and negotiation. This range reflects industry benchmarks for experienced product designers in tech, adjusted for the Spanish market and the high-demand specialization in AI product design. Benefits:

• Unlimited Paid Time Off (PTO): Empowers employees to manage their personal time effectively, promoting work-life balance and preventing burnout.

• Monthly Wellness Allowance: A flexible allowance to support health and well-being activities, such as gym memberships, mental health resources, or wellness retreats.

• Paid Parental Leave: Comprehensive paid leave to support new parents during a significant life event.

• Flexible Working Hours: Allows employees to structure their workday around personal needs and peak productivity times, fostering autonomy and work-life integration.

• Annual Off-site Retreats: Opportunities for team building, strategic planning, and strengthening cross-functional relationships in person, crucial for a remote team.

• Fully Remote Work: The ability to work from anywhere in the world, offering maximum flexibility and access to a global talent pool.

• Competitive Salaries: A commitment to offering compensation that reflects the candidate's skills, experience, and contributions.

• Growth Opportunities: Ample potential for professional development, skill expansion, and career advancement within a growing early-stage company.

Working Hours:

• While the role is fully remote, standard full-time working hours (approximately 40 hours per week) are expected. The company offers flexible working hours, allowing team members to adjust their daily schedules to optimize productivity and work-life balance, while ensuring availability for essential team collaborations and meetings.

📝 Enhancement Note: Salary estimation is based on a combination of the role's specialization (AI Product Design), experience level (5-10 years), employment type (Full-Time), and location (Spain, for a remote role), referencing industry salary benchmarks for similar roles in Western Europe. The benefits package is detailed and aligns with modern tech company offerings that support remote and flexible work.

🎯 Team & Company Context

🏢 Company Culture

Industry: Healthcare Technology / Pharmaceuticals / B2B Marketplace. Axmed operates at the critical intersection of healthcare access and supply chain logistics, leveraging technology to address significant disparities in LMICs. Their model focuses on demand aggregation for medicines, creating a unique B2B marketplace that benefits both healthcare providers in LMICs and pharmaceutical manufacturers.

Company Size: Early-stage startup. As an early-stage company, Axmed likely offers a dynamic, fast-paced environment where individuals have significant impact and autonomy. This also implies a lean team structure, requiring team members to be adaptable and wear multiple hats.

Founded: While the founding date isn't explicitly stated, the company's mission-driven approach and focus on AI-driven solutions suggest a relatively modern founding, likely within the last 5-10 years, to be at the forefront of AI agent technology.

Team Structure:

• Lean and Agile: Expect a small, highly collaborative team where roles may overlap and individuals are empowered to take initiative.

• Cross-Functional Integration: The AI Product Designer will be deeply embedded with AI Engineers and work closely with commercial and operations teams, indicating a highly integrated, project-based team structure.

• Flat Hierarchy (Likely): Early-stage startups often have flatter hierarchies, facilitating direct communication and faster decision-making. The designer will likely report to a Head of Product or a similar senior leadership role.

Methodology:

• AI-First Product Development: The core methodology revolves around building and deploying autonomous AI agents to streamline and automate complex B2B processes.

• User-Centric Design with Real-World Data: Emphasis on designing based on actual procurement workflows and iterating based on live production data and user feedback, rather than solely theoretical usability testing.

• Agile and Iterative Approach: The "builder's mindset" and "prototype fast, ship, watch, adjust" ethos points to an agile development cycle with rapid iteration.

• Mission-Driven Operations: All operational efforts are geared towards achieving the company's mission of improving access to medicines in LMICs.

Company Website: https://axmed.teamtailor.com (Note: This is the careers page URL, the primary company website might be axmed.com based on domain_derived)

📝 Enhancement Note: The company context highlights a mission-driven, early-stage startup environment focused on applying cutting-edge AI to solve critical global health access problems. This implies a culture of innovation, agility, and significant individual impact for employees. The integration of AI agents into core business operations is a defining characteristic.

📈 Career & Growth Analysis

Operations Career Level: This role is positioned as a Mid-Senior Individual Contributor specializing in AI Product Design. It requires a blend of core product design expertise, strategic thinking about automation and human oversight, and a hands-on approach to product development. The role is not about managing people but about deeply influencing the product's technical and user experience direction, particularly concerning AI capabilities.

Reporting Structure: The AI Product Designer will likely report to a Head of Product, VP of Product, or a similar senior leadership role. They will work in very close partnership with AI Engineers and collaborate extensively with Product Managers, Commercial leads, and Operations teams.

Operations Impact: The AI Product Designer's impact is central to Axmed's operational efficiency and scalability. By designing effective AI agents and human review systems, they directly influence:

• Procurement Efficiency: Speeding up and automating key steps in the B2B health procurement process.

• Cost Reduction: Minimizing manual effort and potential errors in transactions.

• Scalability: Enabling the platform to handle a significantly larger volume of transactions and users without proportional increases in human operational overhead.

• Trust and Reliability: Ensuring that the AI-driven marketplace is perceived as trustworthy and dependable by buyers and suppliers.

• Mission Achievement: Directly contributing to the company's goal of improving access to medicines by making the platform more robust and efficient.

Growth Opportunities:

• Specialization in AI Product Design: Deepen expertise in designing for autonomous systems, human-AI interaction, and trust mechanisms, becoming a go-to expert in a rapidly growing field.

• Product Leadership: As the company grows, opportunities may arise to lead product initiatives, manage product lines, or mentor junior designers.

• Cross-Functional Skill Development: Gain in-depth knowledge of B2B procurement, healthcare supply chains, and AI engineering through close collaboration.

• Strategic Impact: Contribute to defining the company's AI product strategy and roadmap, shaping the future of how Axmed operates and scales.

• Entrepreneurial Experience: Gain invaluable experience in a high-growth startup environment, understanding the full product lifecycle from conception to scaling.

📝 Enhancement Note: The analysis focuses on the unique blend of skills required for this role – not just design, but strategic thinking about AI autonomy and operational impact. The growth opportunities are framed around specialization in a cutting-edge field and the potential for leadership within a mission-driven startup.

🌐 Work Environment

Office Type: Fully Remote. Axmed operates as a distributed company, meaning there is no central physical office for day-to-day work.

Office Location(s): While candidates must have the legal right to work in Spain (and potentially Switzerland is mentioned in requirements, suggesting flexibility or a target market), the work is fully remote. This implies that employees can work from their home office or a co-working space of their choice within their designated remote location.

Workspace Context:

• Autonomous Work Environment: Expect a high degree of autonomy and self-management, common in fully remote, early-stage tech companies.

• Digital Collaboration Tools: Reliance on digital collaboration tools (e.g., Slack, Zoom, Figma, Jira, Notion) for communication, design, project management, and documentation.

• Focus on Asynchronous Communication: While real-time collaboration is available, proficiency in asynchronous communication is key for a distributed team across different time zones.

• Direct Impact on Operations: The work directly shapes the core operational AI systems of the company, offering a tangible connection between design efforts and business outcomes.

Work Schedule:

• Flexible Working Hours: Employees have the freedom to structure their workday, provided they meet their responsibilities and are available for key team interactions. This flexibility is crucial for managing different time zones and personal commitments.

• Core Collaboration Hours: While flexible, there will likely be designated "core hours" or regular meetings where team members are expected to be available for synchronous collaboration, particularly with engineering and product teams.

📝 Enhancement Note: The work environment description emphasizes the characteristics of a fully remote, early-stage tech company, focusing on autonomy, digital collaboration, and the need for strong self-management skills. The mention of Spain and Switzerland in location requirements suggests a focus on European operations and talent pools.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening (Recruiter/Hiring Manager): A brief call to assess general fit, understand your background, and confirm alignment with the role's core requirements and company mission.

• Design Challenge/Portfolio Presentation: A more in-depth session where you'll present your portfolio, walk through key case studies, and potentially tackle a small, relevant design problem. This is where you'll demonstrate your approach to AI product design, workflow analysis, and human-AI interaction.

• Technical/Engineering Collaboration Interview: An interview with AI Engineers to assess your ability to collaborate effectively with technical teams, understand AI concepts, and discuss technical feasibility and trade-offs in design.

• Cross-Functional Interview: A conversation with members from Commercial or Operations teams to gauge your understanding of business processes, your ability to gather requirements from non-design stakeholders, and your communication style.

• Final Interview (Senior Leadership): A discussion with a senior leader (e.g., Head of Product, CEO) to assess strategic thinking, cultural fit, and long-term potential.

Portfolio Review Tips:

• Focus on AI Agent Design: Prioritize case studies that clearly showcase your experience designing autonomous AI systems, human-in-the-loop mechanisms, and trust-building features.

• Detail Your Process: For each case study, clearly articulate your design process: problem definition, user research, ideation, prototyping, testing, iteration, and the impact of your design.

• Highlight Workflow Transformation: Demonstrate your ability to break down complex operational processes and redesign them for AI-driven efficiency and human oversight. Use diagrams or flowcharts to illustrate this.

• Show, Don't Just Tell, Trust Design: Provide concrete examples of how you designed for trust and transparency. Explain the rationale behind your design choices and their intended outcomes.

• Quantify Impact: Wherever possible, use metrics to demonstrate the impact of your designs, such as improvements in efficiency, reduction in errors, or increased user adoption/satisfaction.

• Tailor to Axmed's Mission: Briefly explain how your past work or design philosophy aligns with Axmed's mission to improve access to medicines.

Challenge Preparation:

• Understand Procurement Workflows: Familiarize yourself with general B2B procurement processes, especially those involving complex transactions or supply chains.

• AI Autonomy vs. Human Oversight: Be prepared to discuss the nuances of when an AI agent should act autonomously versus when human intervention is necessary, and how to design for both.

• Trust Mechanisms: Think about how you would design for trust in an AI system that is making critical decisions in a marketplace context.

• Data Synthesis for Review: Consider how you would present synthesized information to a human reviewer so they can quickly and effectively validate an AI's decision.

• Communication: Practice articulating your design decisions clearly and concisely, explaining the "why" behind your choices and how they address specific user needs or business objectives.

📝 Enhancement Note: The interview process and portfolio review tips are tailored to the unique requirements of an AI Product Designer role focused on autonomous agents and operational efficiency. Emphasis is placed on demonstrating a deep understanding of AI product development, workflow redesign, and the critical aspect of building trust in automated systems.

🛠 Tools & Technology Stack

Primary Tools:

• Design & Prototyping: Figma, Sketch, Adobe XD (or similar industry-standard tools for wireframing, UI design, and interactive prototyping).

• Collaboration & Project Management: Slack, Jira, Notion, Asana (for team communication, task tracking, and documentation).

• User Research & Testing Platforms: UserTesting.com, Maze, Lookback (or similar tools for remote usability testing and feedback collection).

Analytics & Reporting:

• Product Analytics: Amplitude, Mixpanel, Google Analytics (for understanding user behavior within the platform, tracking agent performance, and identifying areas for improvement).

• Data Visualization: Tableau, Power BI, Looker (potentially used by the broader team for reporting on marketplace performance and AI agent effectiveness).

CRM & Automation:

• CRM: Salesforce, HubSpot (likely used by commercial teams, with potential for integration insights).

• Workflow Automation Tools: While Axmed is building its own AI agents, familiarity with general automation principles and tools might be beneficial.

• Integration Tools: Understanding how different systems connect is valuable, though specific tools are less likely to be primary design requirements.

📝 Enhancement Note: The technology stack focuses on the tools a product designer would typically use, with an emphasis on those relevant to collaborative, remote work and data-driven design. The inclusion of analytics and CRM tools highlights the interconnectedness of design with business operations and user behavior tracking.

👥 Team Culture & Values

Operations Values:

• Mission-Driven: A deep commitment to Axmed's vision of improving global access to medicines. Every design decision should contribute to this overarching goal.

• Bias for Action & Iteration: A "builder's mindset" that prioritizes shipping, learning, and rapid iteration over perfection. Comfort with ambiguity and a proactive approach to problem-solving.

• Data-Informed Decision Making: Using user feedback, production data, and performance metrics to guide design choices and product improvements, especially concerning AI agent behavior and effectiveness.

• Transparency & Trust: A core value in how the team operates internally and how the product is designed to be perceived by users. This extends to clear communication about AI actions and human oversight.

• Collaboration & Empathy: Working effectively across diverse teams (engineering, commercial, operations) and understanding the needs of users in LMICs, as well as buyers and suppliers.

Collaboration Style:

• Deep Technical Partnership: Close, integrated collaboration with AI Engineers, treating them as design partners from the outset.

• Cross-Functional Understanding: A willingness to deeply understand the workflows and challenges of commercial and operations teams to design effective solutions.

• Asynchronous & Remote-First: A reliance on clear, concise written communication and effective use of digital collaboration tools to bridge geographical distances.

• Feedback-Oriented: An open culture where constructive feedback is welcomed and used for continuous improvement of both the product and team processes.

📝 Enhancement Note: The culture and values emphasize the unique blend of mission-driven work, agile execution, and deep collaboration required for success in a remote, AI-focused startup. The focus on trust and transparency is particularly relevant given the nature of designing autonomous AI agents.

⚡ Challenges & Growth Opportunities

Challenges:

• Designing for Autonomy and Trust: The primary challenge is creating user experiences where autonomous AI agents can operate effectively while ensuring human reviewers can maintain oversight, trust the system, and intervene when necessary, all within complex procurement workflows.

• Bridging Technical and User Needs: Translating the capabilities and limitations of AI agents into intuitive, user-friendly interfaces and workflows that meet diverse user needs in LMICs.

• Ambiguity in an Early-Stage Environment: Navigating a fast-paced, evolving startup environment where processes and priorities may shift, requiring adaptability and proactive problem-solving.

• Global User Context: Designing for users in Low and Middle-Income Countries (LMICs) may present unique challenges related to infrastructure, digital literacy, and specific market needs, requiring empathy and thorough research.

• Defining "Good Enough" for AI: Determining the appropriate level of AI autonomy and human review required for different stages of the procurement process, balancing efficiency with risk.

Learning & Development Opportunities:

• Mastery in AI Product Design: Become a leading expert in designing complex AI-driven systems, human-AI interaction, and trust frameworks for autonomous agents.

• Domain Expertise: Develop deep knowledge of the pharmaceutical supply chain, B2B procurement processes, and the healthcare landscape in LMICs.

• Influence on Product Strategy: Contribute significantly to the strategic direction of Axmed's AI product roadmap and its overall business model.

• Startup Entrepreneurial Experience: Gain hands-on experience in building and scaling a tech company from its early stages, understanding all facets of product development and business operations.

• Leadership Potential: As the company grows, opportunities may emerge for leading design efforts, mentoring other designers, or taking on more strategic product roles.

📝 Enhancement Note: The challenges highlight the innovative and complex nature of the role, particularly in balancing AI autonomy with human oversight and designing for a global, mission-critical context. The growth opportunities focus on specialization in a high-demand field and gaining broad entrepreneurial experience.

💡 Interview Preparation

Strategy Questions:

• "Describe a time you designed an autonomous system. What were the key considerations for human oversight, and how did you build trust?" (Focus on your process for defining autonomy boundaries, designing review interfaces, and ensuring transparency.)

• "How would you approach designing a system where an AI agent handles B2B procurement negotiations, and what role would human reviewers play?" (Think about stages of negotiation, data points for AI, and critical human decision points.)

• "Imagine an AI agent makes an error in a critical procurement step. How would you design the system to detect this error quickly, alert a human reviewer, and facilitate a swift correction while minimizing disruption?" (Focus on audit trails, confidence scoring, alert mechanisms, and override workflows.) Company & Culture Questions:

• "What interests you about Axmed's mission to improve access to medicines in LMICs, and how does that align with your design philosophy?" (Connect your passion for impactful design with their mission.)

• "Describe your experience working in a lean, early-stage startup. How do you thrive in environments with ambiguity and limited resources?" (Highlight your adaptability, proactivity, and builder's mindset.)

• "How do you typically collaborate with engineers, especially when designing complex technical systems like AI agents?" (Emphasize your partnership approach, communication style, and ability to understand technical constraints.) Portfolio Presentation Strategy:

• Narrative Arc for AI Case Studies: Structure your presentation around the journey of designing an AI-powered feature or system. Start with the problem, explain your approach to understanding the AI's role and user needs, detail your design solutions for both autonomous and human interaction, and conclude with the impact and lessons learned.

• Visualizing Workflow Transformation: Use clear diagrams, flowcharts, or before-and-after comparisons to visually demonstrate how you've redesigned complex workflows for AI integration and human oversight.

• Demonstrate "Review Instinct": Explicitly explain how your designs enable humans to check the agent's work, not do it from scratch. Highlight features that synthesize information, present clear decision points, and facilitate quick approvals or rejections.

• Quantify & Qualify Impact: Present metrics (e.g., time saved, error reduction, throughput increase) where available, and qualitative feedback or insights that demonstrate the value of your design.

• Engage with Questions: Be prepared to go deeper into your design decisions, discuss trade-offs you made, and explain how you would iterate on the solution based on new information.

📝 Enhancement Note: Interview preparation advice is highly specific to the AI Product Designer role, focusing on designing for autonomous systems, human-AI collaboration, trust, and operational efficiency within a B2B marketplace context. The portfolio presentation strategy emphasizes telling a compelling story about AI product development.

📌 Application Steps

To apply for this AI Product Designer position:

• Submit your application through the Axmed careers portal at https://axmed.teamtailor.com/jobs/8176018-ai-product-designer.

• Curate Your Portfolio: Select 2-3 of your most relevant AI product design case studies. Prioritize those showcasing autonomous systems, human-AI interaction, workflow redesign, and trust-building mechanisms. Ensure each case study clearly articulates the problem, your role, your process, your design solutions, and the measurable impact.

• Tailor Your Resume: Highlight experience with AI-powered products, agentic systems, workflow design, user testing, and cross-functional collaboration. Use keywords from the job description such as "AI agents," "autonomous systems," "human-in-the-loop," "workflow design," and "B2B marketplace."

• Prepare Your Narrative: Practice articulating your design philosophy, your experience with AI product development, and your understanding of Axmed's mission. Be ready to explain how your skills directly address the challenges outlined in the job description.

• Research Axmed: Understand their mission, business model, and the specific challenges they aim to solve in LMICs. Consider how your design contributions can directly impact their operational efficiency and global reach.

⚠️ 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.