Product Designer, AI & Design Systems

📍 Job Overview

Job Title: Product Designer, AI & Design Systems

Company: Proscia

Location: Philadelphia, Pennsylvania, United States

Job Type: Full-Time

Category: Product Design / UI/UX Design

Date Posted: 2026-08-07

Experience Level: Mid-Level (3-5 years)

Remote Status: Hybrid

🚀 Role Summary

• This role is a hybrid position focusing on Product Design with a specialization in AI and Design Systems within the innovative field of digital pathology.

• The Product Designer will own the end-to-end product development lifecycle for discrete product areas, emphasizing human-AI collaboration and the design of intelligent layers.

• A strong emphasis is placed on visual design sensibility, contributing to iconography, illustration, and data visualization styling, extending into the product and occasional brand assets.

• The position requires a deep understanding of AI/ML-driven product experiences, including surfacing model confidence, explaining outputs, and supporting human-in-the-loop review processes.

📝 Enhancement Note: This role is clearly positioned within a product-centric design function, requiring a blend of strategic product thinking, user-centered design methodologies, and strong visual design execution. The emphasis on AI and regulated medical devices suggests a need for meticulous design considerations, user trust, and compliance awareness.

📈 Primary Responsibilities

• End-to-end ownership of discrete product areas, from problem framing through to shipped, validated user experiences, with a focus on AI-powered intelligence layers (model outputs, confidence scoring, human-in-the-loop review, explainability).

• Designing for effective human-AI collaboration, ensuring pathologists can interpret, trust, override, and act upon AI-generated insights while surfacing uncertainty appropriately.

• Leading user research initiatives, including observation, interviews, and usability testing, to deeply understand pathologists and scientists, in partnership with the Director of Design.

• Developing and maintaining empathy maps, user personas, and journey maps to ensure user-centricity throughout the design process.

• Utilizing expertise in visual hierarchy, layout, and information architecture to create storyboards, process flows, sitemaps, UI mockups, wireframes, and high-fidelity designs.

• Generating graphical elements, icon sets, illustrations, onboarding graphics, and data visualization styling, while actively contributing to the Proscia design system.

• Collaborating effectively with cross-functional teams, including product managers, engineers, and scientists, to translate user insights and AI/ML capabilities into elegant design solutions.

• Designing with an awareness of compliance frameworks for regulated medical device software (e.g., IEC 62366, FDA guidance for human factors engineering) and participating in human factors and usability testing.

• Identifying opportunities to integrate AI into the design process itself to enhance user experiences, optimize workflows, increase execution speed, and improve overall product quality.

• Providing occasional support for marketing and sales with polished visuals for decks, one-pagers, websites, or event materials, adhering to existing brand guidelines.

📝 Enhancement Note: The responsibilities highlight a senior-level design role that goes beyond standard UI/UX. The focus on AI integration, human-AI collaboration, and regulated medical devices indicates a need for designers who can handle complex problem spaces and contribute to high-stakes product development.

🎓 Skills & Qualifications

Education: While not explicitly stated, a Bachelor's degree in Design, Human-Computer Interaction, Computer Science, or a related field is typically expected for this level of experience. Relevant certifications or a strong portfolio can often substitute for formal education.

Experience: 3 to 5 years of experience as a Product or UI/UX Designer.

Required Skills:

• Demonstrated experience designing AI or ML-driven product experiences, including surfacing model confidence, explaining outputs, supporting human-in-the-loop review, and calibrating user trust in automated systems. This is a mandatory requirement.

• Proven proficiency in design software, with a specific emphasis on Figma.

• A strong portfolio showcasing end-to-end product craft, including a visual design sensibility that extends beyond standard UI work, demonstrating instincts in typography, layout, illustration, or iconography.

• Prior experience or coursework in graphic design, illustration, or visual/brand design.

• Experience designing web applications, ideally tailored for professional or enterprise use.

• Experience contributing to and maintaining design systems, including shared component libraries.

• Excellent communication skills, with the ability to collaborate effectively across disciplines and clearly articulate design decisions to both technical and non-technical stakeholders.

• Basic understanding of front-end technologies such as HTML, CSS, and JavaScript, to facilitate effective collaboration with engineering teams. Preferred Skills:

• Experience designing for regulated medical device software, with familiarity with human factors engineering standards (e.g., IEC 62366) and FDA usability guidance.

• Knowledge of scientific, healthcare, or laboratory workflows.

• Proficiency in Adobe Illustrator or Photoshop for creating occasional supporting visual assets.

📝 Enhancement Note: The requirement for specific AI/ML product design experience is a critical differentiator. The portfolio must explicitly showcase this expertise. The blend of product craft and visual design skills is essential, as is familiarity with design systems and collaborative tools like Figma.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• A comprehensive portfolio demonstrating end-to-end product design ownership, from initial problem framing and user research to final, validated user experiences.

• Clear case studies showcasing experience with AI or ML-driven product features, detailing how user trust, explainability, and human-AI collaboration were addressed.

• Examples of contributions to a design system, illustrating the ability to create and maintain reusable components, style guides, and ensure visual consistency across products.

• Demonstration of strong visual design skills, including typography, layout, iconography, and illustration, relevant to both product interfaces and occasional marketing materials.

• Evidence of user research methodologies, such as user interviews, usability testing, persona development, and journey mapping, and how these insights informed design decisions.

• Showcase of high-fidelity mockups, wireframes, and interactive prototypes created using tools like Figma. Process Documentation:

• Case studies should clearly outline the design process followed, highlighting iterative improvements, problem-solving approaches, and decision-making rationale.

• Demonstrate an understanding of how to translate complex AI/ML outputs and confidence scores into intuitive and actionable user interfaces.

• Illustrate experience with user feedback loops and validation processes, showing how designs were tested and refined based on user input and performance metrics.

• Examples of collaboration with engineering and product management, showcasing the ability to effectively hand off designs and ensure accurate implementation.

📝 Enhancement Note: The portfolio is paramount for this role. It must go beyond typical UI showcases to demonstrate strategic thinking around AI, user trust, and visual design sophistication. Specific examples of design system contributions and AI-specific design challenges are crucial.

💵 Compensation & Benefits

Salary Range: Based on industry benchmarks for a Product Designer with 3-5 years of experience in a major metropolitan area like Philadelphia, and considering the specialized skills in AI and regulated medical devices, the estimated salary range is $90,000 - $125,000 per year. This estimate is derived from data for similar roles in the Philadelphia tech and healthcare sectors, accounting for the hybrid work model and the company's funding status.

Benefits:

• Competitive salary and potential for equity.

• Comprehensive health insurance options (medical, dental, vision) supporting long-term health.

• Savings options to support financial well-being.

• Opportunities for personal and professional growth and development.

• Flexible hybrid work arrangement to balance office collaboration and remote flexibility.

• Supportive work environment with amenities designed for creativity and agility.

Working Hours: The standard working hours are approximately 40 hours per week. The hybrid model offers flexibility, with core hours likely dedicated to collaborative work and team meetings, while individual focus time can be managed flexibly.

📝 Enhancement Note: Salary estimates are based on industry data for Philadelphia, factoring in the experience level and specialized skill set. The benefits listed are directly from the job description, emphasizing Proscia's commitment to employee well-being and growth.

🎯 Team & Company Context

🏢 Company Culture

Industry: Healthcare Technology, specifically Digital Pathology and AI Software. Proscia is operating in a rapidly growing market driven by advancements in AI and the need for digital transformation in medical diagnostics.

Company Size: Proscia is a growth-stage company, likely employing between 50-200 individuals, indicated by its significant funding and ambitious market position. This size offers a dynamic environment with opportunities for high impact and direct influence.

Founded: While the founding date is not explicitly provided, Proscia is described as a leader at the forefront of a revolution, backed by substantial funding, suggesting it is an established but rapidly scaling entity.

Team Structure:

• The Design team is likely small but impactful, reporting to a Director of Design. This structure allows for close collaboration and direct mentorship.

• The Product Designer will report directly to the Director of Design, indicating a lean hierarchy within the design function.

• Cross-functional collaboration is a core aspect, with designers working closely with Product Managers, Engineers, and Scientists to ensure cohesive product development. Methodology:

• Data-driven decision-making, leveraging user research and analytics to inform design choices.

• Agile product development methodologies, emphasizing iterative design and rapid prototyping.

• A focus on human-centered design principles, with a strong emphasis on understanding and addressing the needs of pathologists and scientists.

• Exploration of AI integration to enhance both product functionality and the design process itself.

Company Website: https://proscia.com/

📝 Enhancement Note: Proscia is positioned as an innovative leader in a high-growth sector. The company culture likely values agility, collaboration, and a data-driven approach. The hybrid work model and emphasis on employee well-being suggest a modern, employee-focused environment.

📈 Career & Growth Analysis

Operations Career Level: This is a Mid-Level Product Designer role (3-5 years of experience), requiring ownership of discrete product areas and significant contribution to the design system and AI product strategy. It's a position that offers substantial responsibility and the opportunity to make a tangible impact.

Reporting Structure: The designer will report directly to the Director of Design, allowing for close mentorship and strategic alignment within the design function. This also implies a collaborative relationship with Product Managers and Engineering leads for specific product areas.

Operations Impact: The Product Designer's work will directly influence the usability, adoption, and effectiveness of Proscia's AI-powered digital pathology solutions. By designing intuitive interfaces for complex AI outputs and ensuring user trust, the designer will play a critical role in driving the company's mission to revolutionize pathology and improve patient outcomes. This impact is crucial for revenue generation and market leadership in precision medicine.

Growth Opportunities:

• Specialization in AI Design: Deepen expertise in designing for AI/ML products, human-AI collaboration, and explainable AI (XAI) within a regulated healthcare context.

• Design System Leadership: Grow into a more senior role within the design system, potentially leading its evolution and governance.

• Product Ownership: With proven success, transition to owning larger or more complex product areas, or even move towards a Senior Product Designer or Design Lead role.

• Cross-functional Influence: Develop stronger strategic influence across Product, Engineering, and Scientific teams, contributing more significantly to product strategy and roadmap.

• Mentorship: As experience grows, opportunities to mentor junior designers may arise.

📝 Enhancement Note: This role offers a clear path for growth within a specialized and rapidly evolving field. The combination of product design, AI, and design systems expertise is highly valuable, providing diverse avenues for career advancement.

🌐 Work Environment

Office Type: Hybrid. This indicates a combination of in-office collaboration and remote work flexibility. The office is described as designed for creativity and agility, with elements like "walls as notepads and couches for collaboration."

Office Location(s): Philadelphia, Pennsylvania, 19103. The office is centrally located in the heart of Philadelphia, offering city views.

Workspace Context:

• The office environment is intended to foster creativity, collaboration, and agile workflows, suggesting an open and dynamic space.

• While specific tools are not detailed for the workspace itself, the mention of "walls as notepads" implies a hands-on, ideation-focused atmosphere. Collaboration with engineers and scientists will be key, suggesting shared workspaces or easily accessible meeting areas.

• Opportunities for direct interaction with cross-functional teams are high due to the collaborative nature of the office design and the company's focus on integrated product development.

Work Schedule: The role is full-time, with approximately 40 working hours per week. The hybrid arrangement provides flexibility, allowing for a balance between structured in-office collaboration and focused remote work. Core collaboration days are likely expected in the Philadelphia office.

📝 Enhancement Note: The hybrid nature of the role, combined with a creative office environment in a prime Philadelphia location, suggests a modern workplace designed to attract and retain talent by offering both flexibility and collaborative synergy.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A review of your resume and portfolio to assess qualifications and alignment with the role's requirements, particularly the AI/ML design experience.

• Portfolio Presentation/Design Challenge: Expect to present your portfolio, walking through 1-2 key case studies that demonstrate your end-to-end product craft, AI design experience, and visual design skills. A design challenge might be assigned, focusing on a problem related to AI interpretation or user trust in a medical context.

• Cross-functional Interviews: Interviews with Product Managers, Engineers, and potentially Scientists to assess collaboration skills, technical understanding, and ability to translate complex concepts into design solutions.

• Hiring Manager Interview: A discussion with the Director of Design to delve deeper into your design philosophy, approach to AI, design system contributions, and cultural fit.

• Final Interview: Potentially with senior leadership to discuss strategic thinking, impact, and long-term career aspirations.

Portfolio Review Tips:

• Highlight AI/ML Experience: Dedicate significant time to showcasing projects where you designed AI-driven features. Detail the problem, your approach to user trust, explainability, and human-AI collaboration.

• Showcase Visual Design Range: Include examples that demonstrate strong typography, layout, iconography, and illustration skills. If you have experience with data visualization styling or onboarding graphics, make sure these are visible.

• Design System Contributions: Clearly articulate your role in designing, developing, or maintaining design systems. Show examples of components, patterns, and how you ensured consistency.

• Process & Rationale: For each case study, clearly explain your design process, the user problems you addressed, your research methodologies, and the rationale behind your design decisions.

• Figma Proficiency: Ensure your portfolio reflects your skills in Figma, as this is a required tool.

Challenge Preparation:

• Understand the Domain: Research digital pathology, AI in healthcare, and the challenges pathologists face. Familiarize yourself with concepts like model confidence and explainability.

• Focus on Human-AI Interaction: Prepare to design solutions that facilitate trust and effective collaboration between users and AI systems.

• Structure Your Approach: Be ready to articulate a clear, structured design process for any given challenge, demonstrating how you would approach problem framing, ideation, prototyping, and testing.

• Communicate Effectively: Practice explaining your design decisions concisely and persuasively, as if presenting to a cross-functional team.

📝 Enhancement Note: The interview process will heavily scrutinize the candidate's portfolio and their specific experience with AI/ML product design. Candidates should be prepared to articulate their design process and rationale in detail, with a strong emphasis on user trust and collaboration within a regulated environment.

🛠 Tools & Technology Stack

Primary Tools:

• Figma: This is the primary design software required. Proficiency in creating wireframes, high-fidelity mockups, interactive prototypes, and design system components within Figma is essential.

• Design System Tools: Tools and methodologies associated with building and maintaining design systems (e.g., component libraries, style guides, documentation platforms).

Analytics & Reporting:

• While not explicitly stated, experience with analytics platforms (e.g., Google Analytics, Mixpanel, Amplitude) for understanding user behavior and product performance would be beneficial for validating design choices.

• Familiarity with data visualization tools and principles to design effective dashboards and reports within the product. CRM & Automation:

• Not directly applicable to the Product Designer role, but an understanding of how user data is managed and how automation impacts user workflows might be relevant context. Supporting Tools:

• Adobe Illustrator/Photoshop: Preferred for occasional graphic asset creation.

• Prototyping Tools: While Figma has robust prototyping capabilities, familiarity with other dedicated prototyping tools might be a plus.

• User Research Platforms: Tools for conducting remote interviews and usability testing.

📝 Enhancement Note: Figma is the cornerstone of the required toolset. The emphasis on design systems suggests the need for structured design practices and documentation. Familiarity with supporting design and research tools will enhance a candidate's profile.

👥 Team Culture & Values

Operations Values:

• Innovation & Vision: A strong drive to be at the forefront of healthcare technology, pushing boundaries with AI and digital solutions.

• User-Centricity: A deep commitment to understanding and serving the needs of pathologists and scientists, ensuring products are practical and impactful.

• Collaboration: A belief in the power of cross-functional teamwork to achieve complex goals, fostering open communication and shared ownership.

• Data-Driven Approach: Utilizing data and research to inform decisions and measure the impact of design and product initiatives.

• Quality & Precision: A dedication to excellence, especially critical in a regulated medical device environment where accuracy and reliability are paramount.

Collaboration Style:

• Cross-functional Integration: Designers are expected to work seamlessly with Product Managers, Engineers, and Scientists, acting as a bridge between user needs, technical capabilities, and business objectives.

• Iterative & Feedback-Oriented: A culture that embraces iteration, feedback, and continuous improvement, encouraging open dialogue and constructive critique.

• Knowledge Sharing: A proactive approach to sharing insights, best practices, and learnings across teams to foster collective growth and problem-solving.

📝 Enhancement Note: Proscia's values likely revolve around innovation, patient impact, and a collaborative, data-informed approach. The design team is expected to be an integrated part of the product development process, contributing strategically and working closely with other disciplines.

⚡ Challenges & Growth Opportunities

Challenges:

• Designing for Trust in AI: A primary challenge is designing interfaces that enable users to understand, trust, and effectively utilize AI-generated insights, especially in a critical field like medical diagnostics. This involves managing uncertainty and explainability.

• Balancing Innovation with Regulation: Navigating the complexities of designing for regulated medical devices while pushing the boundaries of AI innovation requires careful consideration of compliance, human factors, and validation.

• Integrating Diverse Skillsets: Effectively merging strong product craft, sophisticated visual design, AI expertise, and design system contributions into cohesive user experiences.

• Cross-Disciplinary Communication: Translating complex AI/ML concepts and scientific workflows into intuitive designs for a user base that may not be deeply technical in software design.

Learning & Development Opportunities:

• Deep Dive into AI/ML Design: Gain specialized expertise in designing for AI-driven products, including areas like explainable AI (XAI), model interpretability, and human-in-the-loop systems.

• Medical Device Design Standards: Develop a strong understanding of human factors engineering and regulatory compliance for medical devices (IEC 62366, FDA guidance).

• Design System Evolution: Contribute to and potentially lead the growth and strategic direction of a maturing design system.

• Industry Exposure: Work at the cutting edge of digital pathology and precision medicine, understanding the future of healthcare diagnostics.

📝 Enhancement Note: The role presents significant intellectual challenges, particularly around designing for AI trust and navigating regulatory environments. These challenges are also immense growth opportunities for a designer looking to specialize in a high-demand, impactful niche.

💡 Interview Preparation

Strategy Questions:

• "Describe a time you designed an AI-driven product feature. What were the key challenges related to user trust and explainability, and how did you address them?" (Prepare a case study focusing on AI/ML design.)

• "How do you approach designing for regulated medical devices? What are the key considerations you keep in mind?" (Discuss familiarity with IEC 62366, FDA guidance, and human factors.)

• "Walk us through your process for contributing to or maintaining a design system. How do you ensure consistency and scalability?" (Showcase design system contributions in your portfolio.)

• "How do you balance user needs with technical constraints and business goals, especially when dealing with complex AI outputs?" (Prepare examples of trade-offs and decision-making.) Company & Culture Questions:

• "What excites you about Proscia's mission and the future of digital pathology?" (Research Proscia's impact on healthcare.)

• "How do you envision your role contributing to our design system and overall product strategy?" (Align your skills with the company's needs.)

• "Describe your ideal collaborative relationship with product managers and engineers." (Emphasize your cross-functional communication style.) Portfolio Presentation Strategy:

• Focus on Impact: For each case study, clearly articulate the problem, your role, the solution, and the measurable impact or outcome.

• Tell a Story: Structure your presentations like narratives, guiding the interviewer through your thought process and design journey.

• Highlight AI/ML Design: Ensure at least one case study prominently features your experience with AI/ML products, detailing the specific challenges and your innovative solutions.

• Visual Design Excellence: Showcase your visual design skills through high-quality mockups, illustrations, and icons. Explain your aesthetic choices.

• Be Prepared for Deep Dives: Anticipate detailed questions about your design decisions, research findings, and problem-solving approaches.

📝 Enhancement Note: Interview preparation should heavily focus on showcasing specific experience with AI/ML product design and a strong visual design sensibility. Candidates must be ready to articulate their process, rationale, and understanding of regulated medical device design.

📌 Application Steps

To apply for this Product Designer position:

• Submit your application through the provided link on the Proscia careers page.

• Curate Your Portfolio: Select 2-3 of your strongest case studies that best demonstrate your end-to-end product design craft, with a particular emphasis on AI/ML product experiences and visual design capabilities. Ensure your Figma proficiency is evident.

• Tailor Your Resume: Highlight your 3-5 years of relevant experience, explicitly mentioning AI/ML product design, design systems, and any work with web applications or regulated software. Use keywords from the job description.

• Prepare Your Narrative: Practice walking through your portfolio case studies, focusing on your process, problem-solving, and the impact of your designs. Be ready to discuss your approach to user trust in AI and human-AI collaboration.

• Research Proscia: Understand their mission, their technology (digital pathology, AI), and their place in the healthcare innovation landscape. This will help you tailor your answers and demonstrate genuine interest.

⚠️ 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.