Lead Product Designer – UX & Intelligent Interfaces (Healthcare + AI)

📍 Job Overview

Job Title: Lead Product Designer – UX & Intelligent Interfaces (Healthcare + AI)

Company: FOLD HEALTH INDIA PRIVATE LIMITED

Location: Pune, Maharashtra, India

Job Type: Full-time

Category: Product Design / UX Design / AI Design

Date Posted: 2026-02-03

Experience Level: 8+ years (with 2+ years in AI/data-rich systems)

Remote Status: Hybrid

🚀 Role Summary

• Lead the design and architecture of human-AI interactions, focusing on natural, assistive, and delightful user experiences within complex healthcare applications.

• Drive the vision for "agentic user experiences," where intelligent systems proactively partner with users (clinicians, care managers) through automation, smart tasking, nudges, and generative workflows.

• Combine systems thinking, human-centered design principles, and a forward-thinking approach to AI's impact on healthcare usability and efficiency.

• Own the end-to-end design process for AI-powered features, from conceptualization and wireframing to prototyping and user testing, ensuring seamless integration with AI technologies.

📝 Enhancement Note: While the role title is "Lead Product Designer," the description heavily emphasizes UX and AI interaction design. This suggests a specialized role within product design focused on the intricate user experience of AI-powered systems, particularly in a professional B2B SaaS context. The "agentic" aspect points towards designing systems that take initiative and anticipate user needs, a sophisticated area within AI UX.

📈 Primary Responsibilities

• Architect and design intuitive, assistive user interfaces for AI-driven healthcare applications, including conversational UI, AI copilots, and advanced decision-support systems.

• Collaborate closely with product managers, clinical experts, and data science teams to translate complex user needs and AI capabilities into elegant, functional designs.

• Develop adaptive and personalized workflows that learn from user feedback and evolving data, enabling context-aware and dynamic user interactions.

• Create comprehensive design artifacts, including wireframes, high-fidelity mockups, user journey maps, and interactive prototypes, utilizing industry-standard tools.

• Work hand-in-hand with engineering teams to ensure the seamless integration and effective implementation of UX principles across the entire AI technology stack, from rule-based logic to generative models.

• Plan and execute rigorous usability testing for intelligent features and agentic workflows, focusing on areas like task delegation, smart recommendations, and AI-driven insights.

• Champion ethical, explainable, and transparent AI design practices, fostering user trust and understanding of system functionalities and actions.

• Mentor and guide junior designers, fostering a culture of innovation and expertise in designing for emerging technologies like AI, automation, and ambient user experiences.

📝 Enhancement Note: The responsibilities highlight a hands-on design role with significant strategic input. The emphasis on "agentic design," "adaptive workflows," and "ethical AI" indicates a need for a designer who can think deeply about the future of human-computer interaction, particularly in high-stakes environments like healthcare.

🎓 Skills & Qualifications

Education: While no specific degree is mandated, a Bachelor's or Master's degree in Human-Computer Interaction (HCI), Design, Computer Science, or a related field is often preferred for such senior design roles.

Experience: 8+ years of progressive experience in product/UX design, with a minimum of 2 years specifically focused on designing for AI-powered, data-rich, or decision-support systems. Experience in B2B SaaS platforms, particularly within the healthcare sector, is highly advantageous.

Required Skills:

• Proven expertise in user-centered design principles and methodologies applicable to complex systems.

• Deep understanding of agentic design principles, human-machine collaboration, and building trust in automated systems.

• Strong command of UX design tools, with mandatory proficiency in Figma; experience with Framer or UXPin is also valued.

• Demonstrated ability to design intricate user flows, professional tools, and sophisticated interaction models.

• Experience working within B2B SaaS environments, ideally in healthcare, fintech, or logistics sectors.

Preferred Skills:

• Hands-on experience designing conversational UI, AI agents, or generative AI applications.

• Familiarity with LLMs (Large Language Models) and their application in user interfaces.

• Experience with prototyping AI or voice interfaces.

• Basic understanding of AI/ML concepts and their implications for UX.

• Experience with Lottie for rich animations.

📝 Enhancement Note: The requirements emphasize a blend of core UX skills and specialized knowledge in AI interaction design. The preference for specific industries (healthcare, fintech, logistics) suggests the company values domain understanding for complex professional tools. The explicit mention of Figma as required, alongside Framer and UXPin as desirable, indicates the primary toolset.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Demonstrations of complex user flows and interaction models for professional tools, showcasing problem-solving capabilities.

• Case studies detailing the design process for AI-powered features, decision-support systems, or intelligent interfaces.

• Evidence of designing for data-rich environments and translating data insights into user-friendly experiences.

• Examples of UX for B2B SaaS platforms, ideally within healthcare, fintech, or logistics.

Process Documentation:

• Showcase the end-to-end design process, from user research and problem definition to solution ideation, prototyping, and user testing.

• Highlight iterative design approaches, including how user feedback and data loops informed design evolution.

• Detail the collaboration process with product managers, engineers, and clinical stakeholders.

• Illustrate the application of human-centered design and agentic design principles in practical scenarios.

📝 Enhancement Note: A strong portfolio is critical for this role, especially one that can visually articulate the user experience of complex, AI-driven systems. The emphasis on "agentic design" and "intelligent interfaces" means candidates should be prepared to showcase how they've designed systems that go beyond simple command-response interactions.

💵 Compensation & Benefits

Salary Range: Given the Lead Product Designer title, 8+ years of experience, and the hybrid nature of the role in Pune, India, a competitive salary range is expected. Based on industry benchmarks for senior design roles in India with AI/UX specialization, the estimated annual salary could range from ₹18,00,000 to ₹30,00,000 (approximately $21,600 to $36,000 USD, subject to exchange rates). This range can vary significantly based on the candidate's specific skills, interview performance, and the company's compensation philosophy.

Benefits:

• On-Site Collaboration: Access to a well-equipped, centrally located Pune office, fostering direct interaction with cross-functional teams and leadership.

• Competitive Compensation: Salary structured to align with industry benchmarks and the candidate's experience level.

• ESOPs (Employee Stock Options): Opportunity to gain ownership and share in the company's long-term growth and success.

• High-Ownership Culture: Close collaboration with founders, product, and engineering teams, enabling rapid idea implementation and significant impact.

• Career Growth & Learning: Annual budget allocated for professional development, including courses, certifications, or conferences to support design leadership growth.

• Premium Tools & Setup: Provision of high-quality equipment (e.g., MacBook) and licensed design software (Figma, Framer, etc.) to ensure optimal performance.

• Design-First Team Culture: Regular design critiques, dedicated 1:1 mentoring, and deep involvement in product strategy and discovery phases.

• Meaningful Work: Contribution to impactful products that aim to improve patient outcomes and empower care teams within the U.S. healthcare system.

Working Hours: A standard full-time work week is implied, likely around 40 hours. Given the hybrid nature and the focus on a global impact (U.S. healthcare), some flexibility may be required to align with team members in different time zones, though core working hours in India will apply.

📝 Enhancement Note: The salary estimate is based on general market data for senior design roles in India, adjusted for the specialized AI/UX focus and the healthcare industry. The benefits package is comprehensive, emphasizing employee ownership and professional development, which are attractive for senior talent. The mention of "On-Site Collaboration" and a "Hybrid Role" indicates a structured approach to balancing remote work with in-office interaction.

🎯 Team & Company Context

🏢 Company Culture

Industry: Healthcare Technology / HealthTech / AI in Healthcare. Fold Health operates within the intersection of healthcare services and advanced technology, aiming to leverage AI to improve efficiency and patient care outcomes. This industry is characterized by stringent regulatory environments, a focus on data privacy, and a drive for innovation to address complex systemic challenges.

Company Size: The description implies a growing, potentially mid-stage startup environment, given the mention of "founders," "high-ownership culture," and ESOPs. This typically means a dynamic, agile, and collaborative atmosphere where individual contributions are highly visible and impactful.

Founded: While the founding date is not explicitly stated, the company's focus on AI and its operational presence suggest a relatively modern organization, likely founded within the last decade to capitalize on advancements in AI and cloud computing for healthcare solutions.

Team Structure:

• The design team is described as "design-first," indicating a strong emphasis on UX/UI as a core pillar of product development.

• This lead role will likely report to a Head of Product, Chief Product Officer, or a Design Director, and will be responsible for mentoring junior designers.

• Close collaboration is expected with Product Management, Engineering (especially AI/ML engineers), Clinical SMEs, and potentially Data Scientists.

Methodology:

• Data-Driven Design: The emphasis on "intelligent interfaces," "AI capabilities," and "learning loops" suggests a strong reliance on data to inform design decisions and product evolution.

• Agile Development: Common in tech startups, an agile methodology is likely employed, facilitating rapid iteration and cross-functional teamwork.

• Human-Centered & Agentic Design: A dual focus on understanding user needs deeply while strategically designing systems that can act autonomously and intelligently.

• Iterative Prototyping & Testing: Regular cycles of prototyping, user testing, and refinement are essential, particularly for complex AI features.

Company Website: https://www.fold.health/

📝 Enhancement Note: The company's focus on AI in healthcare implies a mission-driven culture centered on improving patient outcomes and clinician efficiency. The "high-ownership" and "design-first" aspects suggest an environment where talented individuals can make a significant impact and have substantial influence on product direction.

📈 Career & Growth Analysis

Operations Career Level: This role is positioned as a "Lead" position, signifying a senior individual contributor role with leadership responsibilities. It represents a significant step for a Product/UX Designer, moving beyond individual feature design to shaping entire AI-driven interaction paradigms and mentoring other designers. The scope includes strategic input into product direction and a deep understanding of the interplay between AI, user needs, and business objectives within the healthcare domain.

Reporting Structure: The Lead Product Designer will likely report to a senior product leader (e.g., Head of Product, CPO) and will work closely with engineering and clinical teams. This structure allows for significant autonomy in design execution while ensuring alignment with overall product strategy and clinical validity.

Operations Impact: The impact of this role is substantial. By designing intuitive and effective AI interfaces, the Lead Product Designer will directly influence:

• Clinical Efficiency: Streamlining workflows for clinicians and care managers, reducing administrative burden.

• Patient Outcomes: Enabling better decision-making and care delivery through intelligent insights and support.

• Product Adoption & Usability: Ensuring that complex AI features are accessible and trusted by users, driving product success.

• Innovation: Shaping the future of how AI is integrated into healthcare, setting new standards for user experience.

Growth Opportunities:

• Design Leadership: Potential to grow into a Design Manager or Head of Design role as the company scales, managing a larger design team and influencing broader product strategy.

• Specialization: Deepening expertise in AI UX, conversational design, or specific healthcare domains, becoming a recognized authority in these areas.

• Strategic Influence: Greater involvement in product strategy, roadmap planning, and defining the company's technological vision.

• Mentorship: Developing strong mentoring skills and building a reputation for fostering talent within the design community.

📝 Enhancement Note: This role offers a clear path for career progression, moving from a senior individual contributor to a leadership position. The unique focus on AI in healthcare provides an opportunity to develop highly sought-after specialized skills, making candidates more marketable in the long term.

🌐 Work Environment

Office Type: The company offers a hybrid work model, indicating a blend of remote work flexibility and in-office collaboration. The Pune office is described as "well-equipped" and "centrally located," suggesting a modern, comfortable workspace designed to facilitate productive collaboration.

Office Location(s): Pune, Maharashtra, India. Being centrally located implies accessibility for employees within the city.

Workspace Context:

• Collaborative Environment: The hybrid model and emphasis on "On-Site Collaboration" and "Design-First Team Culture" suggest a workspace conducive to brainstorming, design critiques, and cross-functional team interactions.

• Technology Enabled: Employees receive "Premium Tools & Setup," including MacBooks and licensed design software, ensuring they have the necessary technology to perform at their best. This indicates a commitment to providing a high-quality work environment.

• Team Interaction: The hybrid setup likely involves scheduled days in the office for team meetings, workshops, and intensive collaborative sessions, balanced with remote work days for focused individual tasks.

Work Schedule: A standard full-time schedule is expected, likely around 40 hours per week. The hybrid nature provides flexibility, allowing individuals to balance personal needs with professional responsibilities, while the need to collaborate with global teams might necessitate occasional adjustments.

📝 Enhancement Note: The hybrid policy, combined with a well-equipped office and premium tools, signals a company that values both employee flexibility and the benefits of in-person collaboration, especially for design-centric roles requiring creative synergy.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A review of your resume and portfolio to assess experience, skills, and alignment with the role's requirements, particularly AI UX and B2B SaaS experience.

• Portfolio Presentation & Design Challenge: A session where candidates present their portfolio, focusing on relevant case studies. This may be followed by a design challenge, potentially involving the design of an AI-driven feature or workflow relevant to healthcare.

• Cross-Functional Interviews: Meetings with Product Managers, Engineering leads, and potentially Clinical stakeholders to assess collaboration skills, technical understanding, and domain interest.

• Leadership/Founder Interview: A final discussion with senior leadership to evaluate cultural fit, strategic thinking, and overall leadership potential.

Portfolio Review Tips:

• Curate Strategically: Select 2-3 case studies that best showcase your experience with complex flows, AI-powered interfaces, B2B SaaS, and ideally, healthcare or similar professional domains.

• Highlight the "Why" and "How": For each case study, clearly articulate the problem, your role, the design process, the AI/intelligent elements involved, key decisions made, and the outcomes achieved.

• Demonstrate AI UX Expertise: Explicitly discuss how you approached designing for AI, including considerations for trust, explainability, agentic behavior, and user control.

• Showcase Process & Tools: Detail your use of Figma and any other relevant tools (Framer, prototyping tools), and illustrate your iterative design process.

• Quantify Impact: Whenever possible, include metrics or qualitative feedback that demonstrate the positive impact of your design solutions.

Challenge Preparation:

• Understand the Domain: Familiarize yourself with current trends in AI in healthcare, common clinician workflows, and the challenges faced by care teams.

• Focus on AI Interaction: If a design challenge is given, anticipate problems related to integrating AI assistance, managing user expectations of AI, and ensuring the AI acts as a helpful partner.

• Structure Your Approach: Be prepared to articulate your thought process clearly, outlining your assumptions, research methods (even if hypothetical for a challenge), design decisions, and testing considerations.

• Ethical AI Considerations: Think about potential ethical implications and how your design aims to mitigate risks related to bias, privacy, or misuse.

📝 Enhancement Note: The interview process will likely be rigorous, testing both design craft and strategic thinking, especially concerning AI. The portfolio is paramount, and candidates should prepare to deeply discuss their contributions to AI-driven product development.

🛠 Tools & Technology Stack

Primary Tools:

• Figma: Mandated for wireframing, mockups, prototyping, and design system management. Expertise here is critical.

• Framer: Highly desirable for advanced prototyping, potentially for creating more interactive or dynamic AI interface simulations.

• UXPin: Another preferred prototyping tool that may be used.

• Lottie: Mentioned as a bonus, indicating potential use for complex animations and micro-interactions within the UI.

Analytics & Reporting: While not explicitly listed for the designer, familiarity with how user behavior data is collected and analyzed to inform design decisions is beneficial. This could involve tools like:

• Mixpanel / Amplitude: For product analytics and user journey tracking.

• Tableau / Looker: Potentially used for visualizing performance data that designers might reference.

CRM & Automation:

• CRM (e.g., Salesforce, HubSpot): While not a direct design tool, understanding how customer data flows and how designs might impact CRM workflows can be advantageous, especially in B2B SaaS.

• Automation Tools (e.g., Zapier, internal scripts): Awareness of automation capabilities can inform design choices for streamlining workflows.

📝 Enhancement Note: The tech stack clearly prioritizes modern design and prototyping tools, with a strong emphasis on Figma. Familiarity with tools that facilitate rich animations (Lottie) and advanced prototyping (Framer) will set candidates apart. An understanding of how design integrates with analytics and potentially CRM systems in a B2B context is a plus.

👥 Team Culture & Values

Operations Values:

• Impact-Driven: A strong focus on creating meaningful work that directly improves healthcare outcomes and clinician efficiency.

• Innovation & Forward-Thinking: Embracing cutting-edge technologies like AI and automation to solve complex problems and shape the future of healthcare.

• Collaboration & Transparency: A "design-first" and "high-ownership" culture that encourages open communication, shared learning, and cross-functional teamwork.

• User-Centricity: Deep commitment to understanding and addressing the needs of healthcare professionals and patients.

• Ethical Responsibility: A dedication to designing AI systems that are trustworthy, explainable, and used responsibly.

Collaboration Style:

• Cross-Functional Integration: Expect close working relationships with product, engineering, and clinical teams, requiring strong communication and the ability to translate between technical and user needs.

• Iterative & Feedback-Oriented: A culture that values regular design critiques, open feedback exchange, and continuous improvement of both designs and processes.

• Proactive & Autonomous: Encouragement for team members to take initiative, own their work, and contribute strategically, especially in a lead role.

📝 Enhancement Note: The company culture appears to be a blend of startup agility and mission-driven purpose. Senior designers are expected to be proactive contributors who not only execute but also influence strategy and mentor others, all while upholding ethical standards in AI design.

⚡ Challenges & Growth Opportunities

Challenges:

• Designing for Ambiguity: AI, especially generative AI and agentic systems, is an evolving field. Designing effective and reliable user experiences in this landscape requires navigating uncertainty and adapting to new technological capabilities.

• Building Trust in AI: Convincing users, particularly in a critical field like healthcare, to trust and rely on AI-driven assistance requires meticulous design that ensures transparency, explainability, and control.

• Balancing Innovation with Usability: Incorporating advanced AI features without overwhelming users or compromising the core usability of professional tools is a significant design challenge.

• Cross-Functional Alignment: Ensuring that complex AI UX concepts are well-understood and effectively implemented by engineering and product teams, while also meeting clinical requirements.

Learning & Development Opportunities:

• Deep AI UX Specialization: Opportunity to become a recognized expert in the burgeoning field of AI-powered user experiences, particularly within healthcare.

• Industry Exposure: Working with cutting-edge AI technologies and contributing to solutions in a high-impact industry.

• Leadership Development: Mentoring junior designers and potentially growing into a design management role.

• Professional Growth Budget: Access to resources for continuous learning, certifications, and attending industry conferences related to design, AI, and healthcare technology.

📝 Enhancement Note: The role presents exciting challenges at the forefront of AI design, offering significant opportunities for professional growth and specialization in a high-demand area. Candidates should be prepared to tackle the unique complexities of designing AI for critical applications.

💡 Interview Preparation

Strategy Questions:

• "Describe a time you designed an intelligent interface or an AI-powered feature. What were the key challenges and how did you address them?" (Focus on agentic design, trust, and explainability.)

• "How would you approach designing a system that helps clinicians prioritize tasks based on AI-generated insights?" (Prepare to discuss workflow mapping, AI output interpretation, and user control.)

Company & Culture Questions:

• "What interests you most about applying AI to healthcare challenges?" (Connect your passion to Fold Health's mission.)

• "How do you stay updated on advancements in AI and UX design?" (Demonstrate continuous learning.)

Portfolio Presentation Strategy:

• Structure Your Narrative: For each case study, clearly define the problem, your role, the design process, the AI/intelligent elements, your solutions, and the impact.

• Emphasize AI Design Choices: Specifically call out decisions made regarding AI interaction, data visualization, trust-building mechanisms, and adaptive workflows.

• Showcase Figma Proficiency: Be ready to walk through key screens and prototypes in Figma, demonstrating your interaction design skills.

• Articulate Trade-offs: Discuss design decisions and any trade-offs you had to make, showing strategic thinking and understanding of constraints.

📝 Enhancement Note: Interviewers will be looking for a strong blend of design craft, strategic thinking about AI, and the ability to articulate complex ideas clearly. Preparing specific examples for AI-related challenges and showcasing your process in Figma will be key.