Product Designer II - R37

📍 Job Overview

Job Title: Product Designer II - R37
Company: R1 RCM
Location: Remote, NY, United States
Job Type: Full-Time
Category: Product Design / Healthcare Technology Operations
Date Posted: January 22, 2026
Experience Level: 2-5 Years
Remote Status: Fully Remote

🚀 Role Summary

• Design and optimize enterprise workflows and interfaces specifically for healthcare revenue cycle management (RCM), with a strong emphasis on integrating AI-driven features such as predictive analytics and automated claims processing.
• Drive the adoption of AI solutions within RCM processes by fostering design thinking and facilitating collaborative workshops with cross-functional teams, including Operations, Product Management, and Engineering.
• Develop comprehensive design assets, including wireframes, user journeys, prototypes, personas, and service blueprints, that clearly articulate the impact and value of AI on RCM tasks.
• Champion user-centered design principles to ensure AI-powered features are accessible, transparent, and enhance the experience for both healthcare professionals and patients, while maintaining compliance with healthcare regulations and data privacy standards.
• Contribute to the evolution of R1 RCM's design system by consistently implementing appropriate UI components and design patterns, ensuring a cohesive and scalable user experience across all RCM products.

📝 Enhancement Note: While the title is "Product Designer II," the responsibilities and required experience strongly suggest a focus on the operational aspects of healthcare revenue cycle management, particularly through the lens of AI integration. This role bridges product design with a deep understanding of RCM workflows and the strategic application of artificial intelligence to enhance efficiency and outcomes. This is not a typical consumer-facing product design role; it's geared towards complex enterprise B2B SaaS solutions within the healthcare financial ecosystem.

📈 Primary Responsibilities

• Design enterprise-level workflows and interfaces that specifically optimize healthcare revenue cycle management (RCM) processes, integrating AI-driven functionalities such as predictive analytics for claim denials, automated claims processing, and intelligent data validation.
• Collaborate closely with diverse cross-functional teams, including Operations specialists, Product Managers, Software Engineers, and fellow Designers, to identify key opportunities for AI enablement and to streamline complex healthcare financial processes.
• Develop high-fidelity design assets, including detailed wireframes, comprehensive user journeys, interactive prototypes, user personas, and service blueprints, that effectively demonstrate the tangible impact of AI on critical revenue cycle tasks.
• Adhere strictly to established design system standards by thoughtfully implementing the correct UI components and design patterns to ensure consistency, scalability, and maintainability of the RCM product suite.
• Facilitate interactive workshops and foster a design thinking methodology to encourage broad adoption and understanding of AI solutions across various internal teams and operational units.
• Act as a strong advocate for the end-user, ensuring that all AI-driven features are designed with accessibility, transparency, and enhanced user experience for healthcare professionals and patients as primary considerations.
• Maintain a meticulous attention to detail throughout multiple design iterations, ensuring all designs comply with stringent healthcare regulations (e.g., HIPAA) and data privacy standards.
• Articulate and present design decisions clearly and persuasively, emphasizing the strategic value of AI in improving operational efficiency, financial outcomes, and overall RCM performance.
• Build rapport and initiate proactive cross-organizational collaboration, utilizing storytelling techniques to keenly articulate design decisions and advocate effectively for the design perspective.
• Participate actively in workshops and foster design thinking within cross-functional, collaborative workgroups to drive innovation in RCM solutions.

📝 Enhancement Note: The emphasis on "enterprise workflows," "healthcare revenue cycle management," and "AI enablement" indicates this role requires a deep understanding of B2B SaaS product design within a regulated industry. The responsibilities go beyond visual design to encompass strategic problem-solving and user advocacy within complex operational environments. The mention of "service blueprints" suggests a need for understanding the broader service delivery context, not just the digital interface.

🎓 Skills & Qualifications

Education:

• Bachelor's degree in Human-Computer Interaction (HCI), Interaction Design, Graphic Design, Computer Science, or a related field, or equivalent practical experience.

Experience:

• Minimum of 2 years of professional experience in product design.
• Proven track record of designing for enterprise healthcare applications, with a specific focus on revenue cycle management (RCM) areas such as claims processing, billing, payment posting, and denials management.
• Demonstrated expertise in integrating and designing for AI technologies, including machine learning, natural language processing, and automation, within product interfaces.
• Experience utilizing design thinking methodologies to solve complex user problems and drive product innovation.

Required Skills:

• Product Design: Expertise in end-to-end product design processes, from user research and ideation to wireframing, prototyping, and final UI design for enterprise applications.
• Healthcare RCM Domain Knowledge: Solid understanding of healthcare revenue cycle management processes, including claims submission, adjudication, denial management, payment posting, and patient billing.
• AI/ML Integration: Proven ability to design user interfaces and workflows that effectively incorporate AI/ML capabilities, such as predictive analytics, intelligent automation, and data validation.
• Figma Proficiency: Advanced skills in using Figma for wireframing, prototyping, component libraries, and collaborative design workflows.
• User Journey Mapping & Service Blueprints: Capability to create detailed user journeys and service blueprints to visualize complex user experiences and operational flows.
• Data-Driven Decision Making: Strong analytical mindset and the ability to leverage data, user feedback, and RCM performance metrics to inform design decisions.
• Communication & Storytelling: Excellent verbal and written communication skills, with the ability to articulate design rationale, present complex ideas clearly, and advocate for design solutions through compelling storytelling.
• Cross-functional Collaboration: Proven ability to work effectively with Product Managers, Engineers, Operations teams, and other stakeholders in a collaborative, agile environment.

Preferred Skills:

• Experience with other design and prototyping tools (e.g., Sketch, Adobe Creative Suite, InVision).
• Familiarity with healthcare regulations such as HIPAA and their implications for design and data privacy.
• Experience designing for AI-powered features beyond RCM, demonstrating a broader understanding of AI applications.
• Knowledge of design systems and experience contributing to or maintaining them.
• Emotional intelligence and strong interpersonal skills for building positive relationships and influencing stakeholders.
• Experience facilitating design workshops and leading design thinking sessions.

📝 Enhancement Note: The requirement for "minimum of 2 years of experience" combined with "Product Designer II" suggests this role is for an individual contributor who is no longer entry-level but is not yet a senior designer. The emphasis on AI and healthcare RCM is critical, making domain expertise a significant differentiator. Candidates should be prepared to showcase how they've applied AI concepts in their designs and how they understand the intricacies of healthcare finance.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• AI-Enabled Design Case Studies: Showcase at least 1-2 detailed case studies demonstrating your experience designing AI-driven features, particularly within enterprise software or healthcare contexts. Highlight the problem, your design process, the AI components, and the resulting impact or expected outcomes.
• Healthcare RCM Workflow Designs: Include examples of designed workflows for specific RCM processes (e.g., claims submission, denial management, patient billing). Clearly illustrate how your designs address user pain points and improve operational efficiency.
• System Integration & UI Design: Provide examples of user interfaces and interactions that demonstrate an understanding of how designs integrate with underlying systems and data structures, especially relevant for enterprise software.
• Prototyping & User Journeys: Include interactive prototypes demonstrating complex user flows and detailed user journey maps that map out the end-to-end experience for healthcare professionals interacting with RCM systems.
• Design System Components: If applicable, showcase examples of UI components or patterns you've designed or contributed to within a design system, demonstrating consistency and scalability.

Process Documentation:

• Design Process Walkthroughs: Be prepared to verbally walk through your design process for at least one portfolio piece, explaining your rationale, research methods, iteration strategies, and how you incorporated AI and user feedback.
• Problem-Solving Approach: Clearly articulate your approach to identifying and solving complex design problems within operational workflows, emphasizing efficiency gains and user experience improvements.
• Collaboration & Iteration: Demonstrate how you collaborate with cross-functional teams (Product, Engineering, Operations) and incorporate feedback throughout the design lifecycle.
• Metrics & Impact: Where possible, quantify the impact of your designs using relevant metrics (e.g., improved processing time, reduced error rates, increased user adoption). If direct metrics aren't available, articulate the expected impact based on user needs and operational goals.

📝 Enhancement Note: For a role like this, the portfolio should heavily emphasize B2B enterprise SaaS design, especially within the healthcare sector. The inclusion of AI-specific design challenges and RCM workflow optimization will be critical. Candidates need to show they can translate complex operational needs and cutting-edge technology (AI) into usable, efficient, and compliant interfaces.

💵 Compensation & Benefits

Salary Range:

• Estimated Base Pay: $120,000 - $150,000 per year.

📝 Enhancement Note: The provided salary range of $120,000 - $150,000 per year is explicitly stated for this US-based position. This range is competitive for a Product Designer II with 2-5 years of experience, especially in a specialized field like healthcare technology and AI integration, and for a fully remote role. The final salary will depend on factors like the candidate's specific experience, skills, location (though remote, some companies adjust for cost of living), and performance during the interview process. Regional salary research for Product Designers in New York (or similar high-cost remote areas) typically aligns with this range.

Benefits:

• Annual Bonus Plan: Eligible for an annual bonus plan with a target of 5.00%.
• Competitive Benefits Package: R1 RCM offers a comprehensive benefits package, which typically includes:
  • Health, Dental, and Vision Insurance
  • Retirement Savings Plan (e.g., 401(k) with company match)
  • Paid Time Off (PTO), including vacation, sick leave, and holidays
  • Life and Disability Insurance
  • Professional Development Opportunities
  • Employee Assistance Program (EAP)

Working Hours:

• Standard full-time work hours are expected, likely around 40 hours per week.
• Given the remote nature and focus on enterprise solutions, flexibility may be expected to collaborate with teams across different time zones or to meet project deadlines.

📝 Enhancement Note: The inclusion of an annual bonus plan with a specific target percentage is a valuable piece of information. The "Competitive Benefits Package" is a standard offering, but candidates should inquire about the specifics during the interview process, especially regarding health insurance plans, retirement contributions, and PTO policies.

🎯 Team & Company Context

🏢 Company Culture

Industry: Healthcare Technology / Revenue Cycle Management (RCM)
Company Size: Large (Likely 5,000+ employees, based on typical R1 RCM scale)
Founded: 2003 (R1 RCM)

Team Structure:

• Operations Integration Focus: The role sits within a product design team that is deeply integrated with RCM Operations. This means designers work closely with those who manage and execute the day-to-day revenue cycle processes.
• Cross-Functional Collaboration: Designers are expected to collaborate extensively with Product Managers, Engineers, Data Scientists, and Operations specialists. This indicates a highly matrixed and collaborative environment.
• Reporting Hierarchy: While not explicitly stated, a Product Designer II typically reports to a Design Manager or Lead Product Designer, who in turn may report to a Director of Product or Head of Design. The role involves contributing to team goals rather than leading a team directly.

Methodology:

• AI-Driven Innovation: A core methodology revolves around leveraging Artificial Intelligence and Machine Learning to enhance and automate RCM processes, driving efficiency and improving financial outcomes for healthcare providers.
• Design Thinking & User-Centricity: The company emphasizes design thinking workshops and a user-centric approach, ensuring that solutions are developed with a deep understanding of user needs and operational challenges.
• Data-Informed Design: Design decisions are expected to be data-driven, utilizing analytics, user feedback, and performance metrics to guide product development and iteration.

Company Website: https://www.r1rcm.com/

📝 Enhancement Note: R1 RCM is a significant player in the healthcare revenue cycle management space. Understanding their mission to "simplify the healthcare experience" and their focus on technology-driven solutions is key. The company's size suggests established processes and a structured approach to product development, but also potential for navigating larger organizational dynamics.

📈 Career & Growth Analysis

Operations Career Level:

• Individual Contributor (Mid-Level): This role is an Individual Contributor (IC) at a mid-level (Product Designer II). It requires a solid foundation in design principles and the ability to execute independently on defined projects, while also collaborating effectively within a team. The focus is on delivering high-quality design work and contributing to strategic initiatives, particularly in AI integration for RCM.

Reporting Structure:

• Direct Reporting: Likely reports to a Design Manager or Lead Product Designer.
• Cross-Functional Interaction: Works closely with Product Managers, Engineers, Data Scientists, and RCM Operations teams. This structure allows for exposure to various facets of product development and business operations.

Operations Impact:

• Efficiency & Financial Performance: The primary impact of this role is through designing solutions that enhance the efficiency of healthcare revenue cycle management, directly contributing to improved financial performance for R1 RCM's clients. This includes reducing claim denial rates, optimizing billing processes, and automating manual tasks.
• User Experience & Adoption: By creating intuitive and effective AI-powered interfaces, the designer influences user adoption of new technologies, leading to better operational outcomes and satisfaction among healthcare professionals.
• Strategic AI Integration: Contributes to R1 RCM's strategic goal of embedding AI across its product suite, positioning the company as an innovator in healthcare technology.

Growth Opportunities:

• Skill Specialization: Deepen expertise in AI-driven product design, healthcare RCM, and user experience for enterprise SaaS.
• Senior Designer Path: Progress to Senior Product Designer roles, taking on more complex projects, mentoring junior designers, and having greater influence on product strategy.
• Cross-Functional Mobility: Potential to move into Product Management, UX Research, or even specialized AI/ML UX roles within R1 RCM or the broader healthcare tech industry.
• Leadership Development: For those interested, opportunities may arise to lead design initiatives or mentor emerging talent within the design team.

📝 Enhancement Note: The "II" in Product Designer II signifies a step beyond entry-level. Candidates should demonstrate a capacity for independent work, problem-solving, and contributing to product strategy, particularly in the context of operational efficiency and AI implementation. Growth here is likely focused on deepening expertise and taking on larger project scopes.

🌐 Work Environment

Office Type: Fully Remote
Office Location(s): Remote, NY, United States (with potential for other remote US locations, though NY is specified).

Workspace Context:

• Home Office Environment: As a fully remote role, the work environment is primarily a home office. Candidates should have a dedicated, professional workspace conducive to focused design work and virtual collaboration.
• Digital Collaboration Tools: Extensive use of digital collaboration platforms (e.g., Slack, Microsoft Teams, Zoom, Figma) is expected for seamless communication and teamwork.
• Agile & Iterative: The work environment is likely fast-paced and operates within an agile or iterative development framework, requiring adaptability and continuous engagement with product teams.
• Data & Analytics Focus: There's a strong emphasis on data and analytics, suggesting a work environment where performance metrics and user insights are regularly reviewed and acted upon.

Work Schedule:

• Standard Business Hours: While remote, adherence to standard business hours for the primary time zone (America/New York) is generally expected for team synchronization.
• Flexibility: Some flexibility may be available, but the need for real-time collaboration with engineering and operations teams often necessitates predictable availability during core working hours.
• Travel: Ability to travel up to 20% is mentioned, suggesting occasional in-person meetings, team offsites, or client visits may occur.

📝 Enhancement Note: The fully remote nature is a significant aspect. Candidates should be comfortable with asynchronous communication and self-management. The mention of travel up to 20% is important for candidates to note, as it implies occasional in-person requirements despite the remote designation.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: Likely a recruiter screen to assess basic qualifications, experience, and cultural fit.
• Hiring Manager Interview: A more in-depth discussion with the hiring manager focusing on experience, design philosophy, and understanding of RCM/AI.
• Portfolio Review & Design Challenge: This is a critical stage. Candidates will present their portfolio, highlighting relevant case studies. A design challenge, potentially a take-home exercise or a live whiteboarding session, will assess problem-solving skills, design process, and ability to apply AI concepts to RCM scenarios.
• Cross-Functional Interviews: Interviews with Product Managers, Engineers, or Operations stakeholders to evaluate collaboration skills and understanding of business/operational needs.
• Final Round: May involve a panel interview or a presentation to senior leadership.

Portfolio Review Tips:

• Curate for Relevance: Select 2-3 projects that best showcase your experience with enterprise SaaS, healthcare RCM, and AI integration. Prioritize projects where you can articulate clear problem statements, design processes, and measurable outcomes.
• Structure Your Narrative: For each case study, clearly outline:
  • The Problem/Opportunity (especially in RCM and AI context)
  • Your Role and Responsibilities
  • The Design Process (Research, Ideation, Wireframing, Prototyping, Testing)
  • Key Design Decisions and Rationale (Why this AI feature? Why this workflow?)
  • Challenges Faced and How You Overcame Them
  • The Solution and Its Impact (Quantify if possible)
• Highlight AI & RCM Expertise: Explicitly call out how you incorporated AI features and your understanding of RCM workflows. Use industry-specific terminology where appropriate.
• Demonstrate Figma Proficiency: If possible, use Figma prototypes during your presentation to showcase interactivity and design details.
• Be Prepared for Questions: Anticipate questions about your design decisions, how you handle feedback, your collaboration style, and your understanding of healthcare regulations.

Challenge Preparation:

• Understand RCM Fundamentals: Refresh your knowledge of core RCM processes (claims, billing, denials, payments).
• Think AI-First: Consider how AI can solve common RCM pain points. Brainstorm potential AI features for efficiency, accuracy, or predictive insights.
• Focus on User Needs: Remember to design for the healthcare professionals who will use these tools. Consider their workflows, pain points, and the stakes involved in healthcare finance.
• Practice Articulation: Be ready to clearly explain your thought process, design choices, and the potential business impact of your proposed solutions.

📝 Enhancement Note: The portfolio review is paramount. Candidates must demonstrate not just design skill, but strategic thinking applied to complex operational challenges within a regulated industry, with a specific emphasis on AI. Be ready to defend your design choices and articulate the business value.

🛠 Tools & Technology Stack

Primary Tools:

• Figma: Essential for wireframing, prototyping, UI design, and collaborative workflows. This is a core requirement.
• Design Systems: Experience with or understanding of how to work within and contribute to design systems for consistency and scalability.
• Prototyping Tools: Proficiency in Figma's prototyping capabilities or other common tools (e.g., InVision, Adobe XD).

Analytics & Reporting:

• Data Analysis Tools: While not a primary design tool, an understanding of how data is analyzed and presented is crucial. Familiarity with tools like Tableau, Power BI, or even advanced Excel/Google Sheets for interpreting performance metrics can be beneficial.
• User Analytics Platforms: Experience with tools like Google Analytics, Mixpanel, or Amplitude to understand user behavior within the product.

CRM & Automation:

• CRM Systems (e.g., Salesforce): Understanding how RCM platforms may integrate with or function alongside CRM systems used by healthcare providers.
• Workflow Automation Tools: Awareness of how automation plays a role in RCM and how design can facilitate or enhance these automated workflows.

📝 Enhancement Note: Figma is explicitly mentioned and is the primary tool. The role implies working within an established product development ecosystem, so familiarity with how design integrates with analytics, CRM, and automation platforms is valuable, even if not directly used by the designer.

👥 Team Culture & Values

Operations Values:

• Efficiency & Optimization: A strong emphasis on improving operational efficiency and optimizing processes within healthcare revenue cycle management. Designs should aim to reduce manual effort, minimize errors, and speed up financial workflows.
• Data-Driven Integrity: Decisions are expected to be grounded in data and analytics, ensuring that design choices lead to measurable improvements and align with business objectives.
• User Advocacy & Empathy: A core value is understanding and championing the needs of healthcare professionals and patients, ensuring that technology solutions are user-friendly, accessible, and supportive.
• Innovation & AI Integration: A forward-thinking approach that embraces new technologies, particularly AI, to solve complex problems and drive innovation in the healthcare tech space.
• Collaboration & Transparency: A culture that values open communication, teamwork, and transparency across departments to achieve shared goals.

Collaboration Style:

• Cross-Functional Partnership: Designers are expected to work as integral partners with Product Managers, Engineers, and Operations specialists, contributing to a shared understanding of goals and solutions.
• Design Thinking Facilitation: Actively participating in and/or leading design thinking sessions to foster creativity and problem-solving among diverse teams.
• Feedback Integration: A willingness to give and receive constructive feedback as part of an iterative design process.
• Proactive Communication: Engaging proactively with stakeholders to ensure alignment, gather requirements, and communicate design progress and rationale.

📝 Enhancement Note: The company's values likely mirror those of a tech-forward organization focused on efficiency and client success in a critical industry. Candidates should be prepared to demonstrate how they embody these values in their work and interactions, particularly regarding data-driven approaches and user empathy within the RCM context.

⚡ Challenges & Growth Opportunities

Challenges:

• Complexity of Healthcare RCM: Navigating the intricate and highly regulated nature of healthcare revenue cycle management, including varying payer rules, compliance requirements (HIPAA), and diverse provider workflows.
• AI Integration Nuances: Designing effective and ethical AI features that genuinely improve user experience and operational outcomes without introducing new complexities or biases. This includes making AI transparent and understandable to users.
• Balancing User Needs with Business Goals: Effectively balancing the needs of diverse user groups (e.g., billers, administrators, patients) with the strategic business objectives of R1 RCM and its clients.
• Adoption of New Technologies: Driving the adoption of AI-powered features and new design paradigms within an established operational environment, which may involve resistance to change.
• Remote Collaboration Dynamics: Maintaining effective communication, collaboration, and team cohesion in a fully remote setting, especially when working with globally distributed or cross-functional teams.

Learning & Development Opportunities:

• Deep Dive into AI in Healthcare: Opportunities to become an expert in applying AI/ML to solve specific challenges within the healthcare RCM domain.
• Mastering Enterprise Design Systems: Gaining advanced experience in working with and contributing to robust enterprise-level design systems.
• Cross-Functional Skill Development: Exposure to product management, engineering best practices, and the operational realities of healthcare finance, fostering a holistic understanding of product development.
• Industry Conferences & Training: Potential to attend industry conferences (e.g., HIMSS, design-focused events) or pursue specialized training in AI ethics, UX research, or healthcare technology.
• Mentorship: Opportunities to learn from senior designers and product leaders within R1 RCM.

📝 Enhancement Note: Candidates should be aware of these challenges and frame their experience in how they've successfully navigated similar situations. The growth opportunities highlight the potential for specialization and broad skill development within a dynamic sector.

💡 Interview Preparation

Strategy Questions:

• "Describe a time you designed an AI-powered feature. What was the problem, your approach, and the outcome?"
  • Preparation: Have a specific case study ready. Focus on how you identified the need for AI, how you designed the interaction, and how you measured success or anticipated impact. Emphasize transparency and user control.
• "How would you approach designing a new claims denial prediction tool for RCM specialists?"
  • Preparation: Outline your process: user research (talking to specialists), identifying key data points for prediction, designing the UI for displaying predictions and explanations, and considering user actions based on predictions. Mention data privacy and accuracy.
• "Walk me through your process for designing an enterprise workflow from scratch."
  • Preparation: Detail your methodology: understanding business goals, user research, mapping current state, identifying pain points, ideating solutions, creating wireframes/prototypes, user testing, iterating, and collaborating with engineering. Use RCM examples if possible.
• "How do you ensure your designs are compliant with healthcare regulations like HIPAA?"
  • Preparation: Discuss your awareness of data privacy principles, secure design patterns, and the importance of consulting with legal/compliance teams. Highlight attention to detail and risk mitigation in design.

Company & Culture Questions:

• "What interests you about R1 RCM and the healthcare revenue cycle industry?"
  • Preparation: Research R1 RCM's mission, values, and recent news. Understand the importance of RCM in healthcare. Connect your passion for design and technology to solving real-world problems in this sector.
• "How do you handle disagreements with Product Managers or Engineers about design decisions?"
  • Preparation: Emphasize collaboration, data-driven arguments, understanding their perspectives, and finding mutually beneficial solutions. Highlight your ability to advocate for the user while respecting technical constraints.
• "How do you measure the success of your designs?"
  • Preparation: Discuss key metrics relevant to enterprise SaaS and RCM (e.g., task completion time, error reduction, user adoption rates, client satisfaction scores, ROI). If direct metrics are unavailable, discuss how you would propose measuring success.

Portfolio Presentation Strategy:

• Tell a Story: Frame each case study as a narrative. Start with the problem, guide the interviewer through your journey, and end with the impact.
• Focus on "Why": For every design decision, be ready to explain the "why" – why this AI feature, why this workflow, why this UI element.
• Show, Don't Just Tell: Use visuals effectively. Show wireframes, prototypes, and final UI. Explain the user flows clearly.
• Quantify Impact: Whenever possible, use numbers to demonstrate the value of your design work (e.g., "reduced processing time by 15%," "increased accuracy by 10%").
• Be Prepared for Deep Dives: Expect interviewers to ask detailed questions about specific aspects of your projects.

📝 Enhancement Note: Interview preparation should focus heavily on demonstrating an understanding of both AI's application and the complexities of healthcare RCM. Candidates need to prove they can design for operational efficiency and compliance, not just aesthetics.

📌 Application Steps

To apply for this operations-focused Product Designer position:

• Submit Your Application: Complete and submit your application through the provided R1 RCM Workday job portal link.
• Tailor Your Resume: Ensure your resume highlights experience in Product Design, Healthcare Applications, Revenue Cycle Management (RCM), and any direct experience with AI/ML integration in design. Use keywords from the job description such as "enterprise workflows," "AI-driven features," "Figma," "wireframes," "user journeys," and "healthcare regulations."
• Curate Your Portfolio: Select 2-3 of your strongest case studies that best demonstrate your ability to design complex enterprise workflows, integrate AI concepts, and ideally, showcase experience within the healthcare or B2B SaaS domain. Ensure each case study clearly outlines the problem, your process, your specific contributions, and the impact of your design.
• Prepare Your Narrative: Practice articulating your design process, your rationale for key decisions (especially regarding AI and RCM), and how you collaborate with cross-functional teams. Be ready to present your portfolio and discuss potential design challenges.
• Research R1 RCM: Familiarize yourself with R1 RCM's mission, services, and their focus on technology and innovation in healthcare revenue cycle management. Understand their commitment to simplifying the healthcare experience.

⚠️ 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.