UX Designer (2 to 4 years)

athenahealth
Full-time•Bengaluru, India

šŸ“ Job Overview

Job Title: UX Designer (2 to 4 years)

Company: athenahealth

Location: Bangalore, India

Job Type: Full time

Category: UX Design / Product Design Operations

Date Posted: 2026-09-10

Experience Level: 2-4 years

Remote Status: Hybrid

šŸš€ Role Summary

  • Lead the design of human-centered experiences within an AI-native product environment, focusing on complex healthcare workflows and document interoperability.

  • Utilize AI-assisted design practices alongside specification-driven development (SDD) to create clear, accurate, and usable healthcare solutions.

  • Conduct rigorous user research with healthcare professionals and domain experts to inform evidence-based design decisions and problem framing.

  • Translate research insights and product/behavioral data into tangible design artifacts, including user flows, information architecture, wireframes, and prototypes.

  • Collaborate closely with cross-functional teams (Design, Product, Engineering, clients, clinical experts) to refine designs, evaluate trade-offs, and drive project execution.

šŸ“ Enhancement Note: This role sits at the intersection of UX Design and Operations, with a strong emphasis on process, data-driven decision-making, and collaboration within a complex, regulated industry (healthcare). The "AI-native" and "Specification-Driven Development (SDD)" aspects highlight a forward-thinking approach to product development, requiring designers to be adaptable and critical thinkers regarding AI-generated outputs.

šŸ“ˆ Primary Responsibilities

  • Employ AI tools across the design lifecycle, including research synthesis, problem framing, specification generation, concept exploration, prototyping, and validation, as part of an AI-native design approach.

  • Actively contribute to the refinement and evolution of Specification-Driven Development (SDD) practices, critically assessing AI-generated outputs for accuracy, evidential support, potential bias, usability, and overall human value.

  • Plan, execute, and synthesize user research studies with healthcare professionals, practice staff, clients, and clinical/domain experts to gather deep qualitative insights.

  • Develop strong rapport with research participants, employing active listening to identify nuanced patterns and actionable insights from qualitative data and customer feedback.

  • Integrate qualitative research findings with product usage and behavioral data to build a comprehensive understanding of user actions and motivations.

  • Articulate clear problem definitions, refine user workflows, establish experience principles, and conceptualize product solutions based on research and evidence.

  • Design intuitive enterprise-level user experiences, encompassing detailed user flows, robust information architecture, low-fidelity wireframes, interactive prototypes, and high-fidelity interface designs.

  • Focus design efforts on critical healthcare areas such as document interoperability, referral management, and cross-organization workflows, meticulously accounting for diverse user needs, dense information presentation, edge cases, and system constraints.

  • Foster collaborative partnerships with Product Management, Engineering, other Designers, clients, and domain experts to negotiate design trade-offs and cultivate shared understanding.

  • Proactively manage assigned design tasks with clear scope, communicate progress and potential risks effectively, solicit constructive feedback, and progressively take on more complex design challenges.

šŸ“ Enhancement Note: The responsibilities emphasize a hands-on approach to design, research, and cross-functional collaboration, with a specific focus on the unique challenges of healthcare interoperability and AI integration. The expectation to critically evaluate AI outputs is a key differentiator, requiring a blend of creative design skills and analytical rigor.

šŸŽ“ Skills & Qualifications

Education:

  • Bachelor's or Master's degree in Design, Human-Computer Interaction (HCI), Cognitive Psychology, Computer Science, Business, or a related discipline; equivalent practical experience will also be considered. Experience:

  • 2–4 years of relevant professional experience in UX design, product design, UX research, service design, data analysis, engineering, healthcare, psychology, customer experience, or a comparable field.

  • Proven experience researching and designing complex, data-rich products and workflows that involve multiple user types, intricate dependencies, and various constraints.

  • Experience within systemic or regulated environments such as healthcare, health technology, fintech, insurance, enterprise software, logistics, or security is highly valued. Required Skills:

  • Demonstrated ability to leverage qualitative research, customer feedback, and/or behavioral product data to drive informed product, service, or design decisions.

  • Proficiency in communicating design concepts through artifacts such as user workflows, information architecture diagrams, wireframes, interactive prototypes, and detailed interface designs.

  • Hands-on experience experimenting with AI in research, design, prototyping, technical exploration, or other creative practices, with a proven ability to adapt methodologies based on learnings.

  • Strong problem-solving skills with the ability to reason through complex systems, data relationships, constraints, and downstream consequences.

  • Excellent communication skills, with the ability to articulate ideas clearly to users and colleagues across diverse disciplines, cultures, and technical backgrounds.

  • Aptitude for critical thinking, separating assumptions from validated insights, and constructively adapting designs based on new information.

  • High level of initiative, commitment to follow-through, proactive feedback seeking, and maintaining rigorous standards for design quality and impact. Preferred Skills:

  • Prior experience in healthcare or health technology, particularly with clinical workflows, document exchange, interoperability standards, referral processes, or care coordination.

  • Curiosity and foundational understanding of analytics tools such as Amplitude, even if not currently a quantitative researcher.

  • Familiarity with designing for enterprise software, systemic, or regulated environments.

šŸ“ Enhancement Note: The emphasis is placed on the quality of thinking, research instincts, curiosity, and growth potential over specific tool proficiencies. The requirement for AI experimentation experience is a significant indicator of the company's forward-looking approach.

šŸ“Š Process & Systems Portfolio Requirements

Portfolio Essentials:

  • Showcase a minimum of 2-4 distinct projects demonstrating a progression from problem identification through to solution implementation, with a clear emphasis on the design process.

  • For each project, clearly articulate the initial problem statement, the research methodologies employed, key insights derived, design decisions made, and the final outcome or impact.

  • Include examples of user flows, information architecture diagrams, wireframes, and interactive prototypes that illustrate your design thinking and problem-solving approach.

  • Demonstrate your ability to handle complexity by presenting case studies involving data-rich environments, intricate workflows, or multiple user personas.

  • Highlight projects where you have utilized or experimented with AI in the design process, explaining your approach and the learnings. Process Documentation:

  • Present evidence of your ability to document and communicate design processes effectively. This could include process maps, design rationale documents, or user research synthesis reports.

  • Showcase how you have translated research findings and data into actionable design specifications or requirements for development teams.

  • Illustrate your approach to iterating on designs based on feedback from user research, stakeholder reviews, and product data analysis.

  • Provide examples of how you have collaborated with engineering and product teams to ensure design fidelity and successful implementation.

šŸ“ Enhancement Note: For a UX role, especially one emphasizing complex systems and AI, a portfolio that clearly outlines the "why" and "how" behind design decisions is crucial. The ability to demonstrate a structured design process, integrate research, and adapt to new technologies like AI will be key evaluation criteria.

šŸ’µ Compensation & Benefits

Salary Range:

  • Based on industry benchmarks for UX Designers with 2-4 years of experience in Bangalore, India, the estimated annual salary range is ₹800,000 to ₹1,500,000. This estimate considers factors such as experience level, the specialized nature of healthcare UX, and the company's position in the tech industry. Benefits:

  • Comprehensive health and financial benefits package.

  • Commuter support to facilitate daily travel.

  • Employee Assistance Programs (EAP) for personal and professional well-being.

  • Tuition assistance for continued learning and professional development.

  • Access to Employee Resource Groups (ERGs) for networking and support.

  • Collaborative and modern workspaces designed for teamwork and innovation.

  • Flexibility in work arrangements to support work-life balance. Working Hours:

  • Standard full-time work hours, typically around 40 hours per week.

  • Requires planned availability in India during evenings when necessary for scheduled research sessions with U.S.-based users.

šŸ“ Enhancement Note: The salary range is an estimate based on market data for UX Designers in Bangalore with the specified experience. The requirement for evening availability for U.S. user research is a critical factor for candidates to consider, impacting work-life balance.

šŸŽÆ Team & Company Context

šŸ¢ Company Culture

Industry: Healthcare Technology (Health IT)

Company Size: Large (athenahealth is a significant player in the US healthcare IT market, employing thousands globally). This implies a structured environment with established processes but also opportunities for impact within specialized teams.

Founded: 1997. A long-standing company suggests stability, deep domain expertise, and a mature approach to product development and client relationships.

Team Structure:

  • The UX team is part of a collaborative environment working closely with Product Management, Engineering, clients, and clinical/domain experts.

  • The team is actively exploring and integrating AI into its design and development processes, indicating a forward-thinking and innovative culture.

  • There is a focus on addressing complex, data-rich healthcare workflows, requiring cross-functional alignment and a shared understanding of user needs and system constraints. Methodology:

  • Emphasis on human-centered design principles, ensuring user needs remain central to product development.

  • Adoption of AI-assisted design practices and Specification-Driven Development (SDD) to enhance efficiency and innovation.

  • Strong reliance on user research (qualitative and quantitative) and behavioral product data to inform evidence-based design decisions.

  • Collaborative approach to problem-solving, involving diverse stakeholders to evaluate trade-offs and drive consensus.

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

šŸ“ Enhancement Note: athenahealth operates in a critical and complex industry. The company culture appears to value innovation (AI integration), data-driven decision-making, and collaboration. The "athenista" term and emphasis on DEI suggest a focus on employee engagement and inclusivity.

šŸ“ˆ Career & Growth Analysis

Operations Career Level: This role is positioned as a mid-level UX Designer, suitable for individuals with 2-4 years of experience. It involves significant autonomy in design execution and research, with opportunities to influence product direction.

Reporting Structure: The UX Designer will likely report to a UX Manager or Design Lead, working within a broader Design, Product, or Engineering organization. They will collaborate extensively with Product Managers and Engineering teams.

Operations Impact: The UX Designer's work directly impacts the usability, efficiency, and accuracy of healthcare systems, which in turn affects patient care, provider satisfaction, and operational efficiency for athenahealth's clients. The focus on document interoperability and referrals highlights a direct contribution to streamlining critical healthcare processes.

Growth Opportunities:

  • Skill Specialization: Deepen expertise in healthcare UX, AI-assisted design, specification-driven development, or advanced user research methodologies.

  • Project Leadership: Progress to leading design initiatives for more complex product areas or features, taking on greater ownership and strategic input.

  • Mentorship: Opportunity to mentor junior designers as experience grows, contributing to the team's overall capabilities.

  • Cross-functional Exposure: Gain deeper understanding of product management, engineering processes, and the intricacies of the healthcare industry.

  • Innovation Contribution: Play a key role in shaping how AI is integrated into design workflows and product offerings.

šŸ“ Enhancement Note: This role offers a clear path for growth within UX design, particularly within the specialized field of health tech. The emphasis on AI and SDD provides opportunities to develop cutting-edge skills that are highly valuable in the current market.

🌐 Work Environment

Office Type: The description mentions "collaborative workspaces" and hybrid work arrangements, suggesting a modern office environment designed to facilitate teamwork and interaction.

Office Location(s): Bangalore - Whitefield, India. This is a major IT hub in India, offering access to talent and infrastructure.

Workspace Context:

  • The workspace is designed to foster collaboration, with teams working closely across disciplines.

  • Expect access to standard design tools and technologies, with a growing integration of AI tools for design and research.

  • Opportunities for frequent interaction with Product Managers, Engineers, and other designers, as well as remote interaction with U.S.-based stakeholders and users. Work Schedule:

  • Standard full-time hours (approx. 40 hours/week) are expected.

  • A key aspect is the requirement for planned evening availability in India for research sessions with U.S.-based users. This indicates a need for flexibility and adaptability in scheduling.

šŸ“ Enhancement Note: The hybrid nature of the role combined with the specific requirement for evening availability for U.S. calls highlights the global and flexible nature of modern tech work, requiring strong time management and communication skills.

šŸ“„ Application & Portfolio Review Process

Interview Process:

  • Initial Screening: Resume and portfolio review to assess experience, skills, and alignment with the role's requirements, particularly AI experimentation and healthcare focus.

  • Technical/Design Interview: Discussion of past projects, design process, problem-solving approach, and experience with user research. Expect to walk through portfolio pieces.

  • Case Study/Design Challenge: Potentially a take-home assignment or an in-interview exercise to assess design thinking, problem-solving, and ability to articulate design rationale. This may involve evaluating AI-generated outputs or designing for a specific healthcare scenario.

  • Cross-functional Panel Interview: Conversation with Product Managers, Engineers, and potentially other designers to evaluate collaboration style, communication skills, and cultural fit.

  • Final Interview: May involve senior leadership to discuss career aspirations, strategic thinking, and overall fit with athenahealth's vision.

Portfolio Review Tips:

  • Highlight Process: Clearly articulate your design process, from initial problem definition and research to ideation, prototyping, and iteration. Emphasize how you used data and user insights.

  • Showcase AI Integration: Include projects where you experimented with AI tools, explaining your approach, challenges, and learnings. Be prepared to discuss how you critically evaluated AI outputs.

  • Demonstrate Complexity: Present case studies that involve complex systems, data-rich environments, or challenging user workflows, especially if related to healthcare.

  • Quantify Impact: Whenever possible, include metrics or outcomes that demonstrate the impact of your design solutions (e.g., improved user efficiency, reduced errors, increased task completion).

  • Structure for Clarity: Organize your portfolio logically with clear project descriptions, visuals, and concise explanations.

Challenge Preparation:

  • Understand Healthcare Context: Research athenahealth's products, mission, and the general landscape of healthcare IT, focusing on interoperability, clinical workflows, and AI in healthcare.

  • Practice Articulating Design Decisions: Be ready to explain the rationale behind your design choices, especially concerning trade-offs and constraints.

  • Prepare for AI-Related Questions: Think about how you would critically assess AI-generated designs, identify potential biases, and ensure human value.

  • Review SDD Principles: Familiarize yourself with Specification-Driven Development concepts if you haven't already.

šŸ“ Enhancement Note: The interview process will heavily weigh the candidate's ability to articulate their design process, critically evaluate AI outputs, and demonstrate an understanding of complex systems, particularly within the healthcare domain. A strong portfolio showcasing these aspects is paramount.

šŸ›  Tools & Technology Stack

Primary Tools:

  • Design & Prototyping: Figma, Sketch, Adobe Creative Suite (Illustrator, Photoshop), InVision, Axure RP.

  • User Research & Analysis: UserTesting.com, Lookback, Dovetail, Maze, Qualtrics.

  • AI Design Tools: Expect exposure to or direct use of AI-powered design assistants, content generators, and research synthesis tools.

  • Collaboration Tools: Slack, Microsoft Teams, Jira, Confluence.

Analytics & Reporting:

  • Product Analytics: Amplitude (specifically mentioned as valuable), Google Analytics, Mixpanel.

  • Reporting & Dashboarding: Tableau, Power BI, Looker (or internal BI tools).

CRM & Automation:

  • While not the primary focus for a UX Designer, familiarity with CRM systems (e.g., Salesforce) and workflow automation concepts can be beneficial for understanding user contexts.

šŸ“ Enhancement Note: Proficiency in industry-standard design tools is expected. The mention of Amplitude and AI tools indicates a data-informed and technologically advanced design environment. Candidates should be prepared to discuss their experience or curiosity with these specific tools.

šŸ‘„ Team Culture & Values

Operations Values:

  • Human-Centered: A core value, ensuring that user needs and well-being are at the forefront of all design and product decisions.

  • Data-Driven: Decisions are informed by qualitative research, behavioral data, and analytics, fostering a culture of evidence-based design.

  • Collaborative: Emphasis on teamwork across Design, Product, Engineering, and with external stakeholders (clients, clinical experts) to achieve shared goals.

  • Innovative: Encouragement to explore new technologies like AI and evolve design methodologies (e.g., SDD) to drive efficiency and better solutions.

  • Accountability: Taking ownership of design work, commitments, and the impact of design decisions.

  • Inclusivity: Commitment to Diversity, Equity, and Inclusion, reflected in team composition and product design considerations.

Collaboration Style:

  • Cross-functional Integration: Designers work closely with Product Managers and Engineers throughout the product development lifecycle, fostering a shared sense of ownership.

  • Open Feedback Culture: Encouragement of constructive feedback exchange among team members to refine designs and processes.

  • Knowledge Sharing: Practices that promote sharing insights, best practices, and learnings within the design team and across departments.

  • Agile Iteration: Adapting designs based on continuous feedback and evolving requirements, often within agile development frameworks.

šŸ“ Enhancement Note: The values highlight a blend of user advocacy, analytical rigor, and collaborative execution, essential for success in a complex domain like healthcare IT. The emphasis on innovation with AI and SDD suggests a dynamic and forward-thinking team environment.

⚔ Challenges & Growth Opportunities

Challenges:

  • Complexity of Healthcare Systems: Navigating intricate clinical workflows, regulatory requirements, and the diverse needs of healthcare professionals and patients.

  • AI Integration and Critical Evaluation: Effectively integrating AI into the design process while critically assessing its outputs for accuracy, bias, and human value, ensuring AI enhances rather than detracts from the user experience.

  • Balancing User Needs with Technical Constraints: Designing solutions that are both user-friendly and feasible within complex technical architectures and system limitations.

  • Cross-Time Zone Collaboration: Effectively communicating and collaborating with U.S.-based teams and users, requiring careful scheduling and clear communication strategies.

  • Rapid Technological Evolution: Staying current with advancements in AI, design tools, and healthcare technology trends.

Learning & Development Opportunities:

  • Specialized UX Training: Opportunities to attend workshops, conferences, or pursue certifications in areas like healthcare UX, AI in design, or advanced research methods.

  • Mentorship Programs: Access to experienced designers and leaders for guidance on career development and skill enhancement.

  • Exposure to Cutting-Edge Practices: Hands-on experience with AI-assisted design and Specification-Driven Development, building highly sought-after skills.

  • Industry Knowledge Acquisition: Developing a deep understanding of the U.S. healthcare system, clinical workflows, and health IT challenges.

  • Cross-Functional Skill Development: Opportunities to learn about product management, engineering realities, and business strategy within the healthcare sector.

šŸ“ Enhancement Note: The role presents significant challenges due to the complexity of the industry and the innovative nature of AI integration. However, these challenges are directly linked to substantial growth opportunities for designers looking to specialize in cutting-edge areas of UX and health tech.

šŸ’” Interview Preparation

Strategy Questions:

  • "Describe a complex, data-rich product or workflow you've designed. What were the key challenges, and how did you approach them?" (Focus on process, data integration, and problem-solving.)

  • "How have you incorporated AI into your design process, or how would you approach it? What are the potential pitfalls of AI-generated designs, and how would you mitigate them?" (Assess critical thinking about AI and design ethics.)

  • "Walk me through a project where you used user research to significantly influence a product decision. What was your research methodology, and how did you synthesize the findings?" (Highlight research skills and impact.) Company & Culture Questions:

  • "What interests you about athenahealth and the healthcare technology industry?" (Showcase research and genuine interest.)

  • "How do you approach collaboration with Product Managers and Engineers, especially when there are differing opinions or priorities?" (Assess teamwork and communication skills.)

  • "Describe a time you had to balance user needs with technical constraints or business requirements. What was your approach, and what was the outcome?" (Evaluate pragmatism and negotiation skills.) Portfolio Presentation Strategy:

  • Tell a Story: For each project, frame it as a narrative: the problem, your role, the process, the solution, and the impact.

  • Focus on Your Contribution: Clearly articulate what you did, especially in team projects.

  • Showcase the "Why": Explain the rationale behind your design decisions, linking them back to research insights or strategic goals.

  • Demonstrate AI Experimentation: If applicable, dedicate a section or highlight specific projects where you experimented with AI, detailing your methodology and learnings.

  • Be Ready for Deep Dives: Anticipate questions about specific design choices, research methods, and how you handled challenges.

šŸ“ Enhancement Note: Candidates should prepare to discuss their experience with AI and critically evaluate its outputs, demonstrate a strong understanding of user research and complex system design, and articulate their collaborative approach. A well-structured portfolio that highlights these aspects is essential.

šŸ“Œ Application Steps

To apply for this operations position:

  • Submit your application through the provided Workday link.

  • Customize Your Resume: Tailor your resume to highlight experience in UX design, user research, complex systems, AI experimentation, and any relevant healthcare domain knowledge. Use keywords from the job description.

  • Prepare Your Portfolio: Ensure your portfolio clearly showcases 2-4 relevant projects, detailing your design process, research insights, AI integration efforts, and the impact of your work. Be ready to present specific case studies.

  • Research athenahealth: Understand their mission, products, and commitment to AI and innovation. Familiarize yourself with their company culture and values.

  • Practice Interview Responses: Prepare for behavioral and situational questions by thinking about specific examples from your experience that demonstrate your skills in problem-solving, collaboration, research, and AI application.

āš ļø 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.


Application Requirements

Candidates should have 2-4 years of experience in UX design or related fields, with a strong ability to research and design complex, data-rich products. A bachelor's or master's degree in a relevant discipline is preferred, along with curiosity about healthcare systems and AI experimentation.