Product UX Designer - Interaction Design

📍 Job Overview

Job Title: Product UX Designer - Interaction Design

Company: Clearwater Analytics

Location: Noida, Uttar Pradesh, India

Job Type: Full time

Category: Product Design / User Experience

Date Posted: 2026-09-03

Experience Level: Mid-Senior Level (4+ years)

Remote Status: On-site

🚀 Role Summary

• Design and enhance user experiences for complex, data-rich web applications and websites, focusing on interaction design principles.

• Collaborate closely with cross-functional teams including Development, Product Management, Operations, Sales, Marketing, and external clients to translate requirements into intuitive user interfaces.

• Implement and maintain design systems and guidelines to ensure consistency and scalability across all product touchpoints.

• Leverage cutting-edge AI-powered design and research tools to accelerate ideation, prototyping, and user feedback synthesis.

• Drive a data-driven approach to design, utilizing testing and analytics to validate solutions and present compelling design recommendations.

📝 Enhancement Note: This role is specifically focused on the interaction design aspect of UX, implying a deep dive into user flows, navigation, and how users engage with features within a data-dense SaaS environment. The emphasis on AI tools suggests a forward-thinking design team that values efficiency and innovation.

📈 Primary Responsibilities

• Oversee and refine the user interface (UI) and overall customer experience (CX) design for Clearwater Analytics' core web applications.

• Develop comprehensive usability testing plans and execute them to gather actionable insights from target users.

• Proactively gather requirements from various stakeholders, including end-users, to ensure designs meet business objectives and user needs.

• Manage and prioritize multiple project timelines concurrently within a fast-paced, agile development environment.

• Champion a data-driven design methodology, using analytics and user feedback to inform and present design solutions effectively.

• Maintain and evolve existing design systems and style guides, ensuring consistency and adherence to brand standards.

• Utilize AI-powered design and research tools to accelerate the ideation process, rapid prototyping, and in-depth usability analysis.

• Mentor and support less experienced UI/UX designers, fostering a collaborative and growth-oriented team environment.

• Ensure designs are scalable, accessible, and visually compelling, contributing to an excellent end-user journey.

• Adapt to new technologies and workflows, particularly those involving AI, to continuously improve design processes and outcomes.

📝 Enhancement Note: The responsibilities highlight a blend of strategic oversight, hands-on design execution, and team mentorship. The explicit mention of AI tools and data-driven approaches indicates a focus on modern UX practices and measurable impact.

🎓 Skills & Qualifications

Education: Bachelor's or Master's degree in Engineering, Computer Science, Human-Computer Interaction, Design, or a closely related field.

Experience: 4+ years of professional experience in UI/UX design, with a strong focus on interaction design and product development.

Required Skills:

• Mastery of industry-standard design software such as Sketch, Figma, or Adobe XD for creating wireframes, mockups, and interactive prototypes.

• Solid understanding of front-end development principles, including HTML, CSS, and JavaScript, with familiarity with modern JavaScript frameworks like React or Angular to facilitate design-to-development handoffs.

• Proven experience utilizing AI-assisted design tools (e.g., Figma AI, Adobe Firefly, Uizard) for rapid concept generation, design exploration, and accelerated prototyping.

• Familiarity with AI copiloting/code-generation tools (e.g., GitHub Copilot, Cursor, Claude) to assist in prototyping interactive components and streamlining the design-to-code process.

• Experience leveraging generative AI tools (e.g., ChatGPT, Claude, Midjourney) for tasks such as drafting UX copy, generating user personas, or exploring visual concepts.

• Understanding of AI-driven UX research and analytics tools (e.g., Maze, UserTesting AI, Hotjar AI) for efficient synthesis of usability findings and large-scale user feedback analysis.

• Ability to apply AI-based accessibility checkers (e.g., Stark, Adobe Firefly accessibility tools) to ensure WCAG compliance.

• Demonstrated enthusiasm for design challenges within a Software-as-a-Service (SaaS) company context.

• Strong client satisfaction orientation and ability to translate client feedback into design improvements.

• Exceptional analytical skills for problem-solving and data interpretation.

• Proficiency in Microsoft Office Suite and AI productivity assistants like Microsoft Copilot.

• Outstanding attention to detail and strong documentation capabilities.

• Excellent verbal and written communication skills for clear stakeholder interaction.

• Strong organizational and interpersonal skills to manage workload and collaborate effectively.

• Exceptional problem-solving abilities to address complex design challenges.

• Commitment to continuous learning and staying current with emerging AI design tools and workflows. Preferred Skills:

• Experience with advanced AI prototyping tools and workflows.

• Familiarity with A/B testing methodologies and their application in UX design.

• Experience working within agile/scrum development methodologies.

• Knowledge of data visualization principles for presenting complex data insights.

📝 Enhancement Note: The extensive list of required AI-related skills is a significant differentiator for this role, indicating that proficiency and practical application of these tools are paramount. The inclusion of front-end development knowledge suggests a role that bridges design and development more closely than a traditional UX role.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Showcase a minimum of 3-4 comprehensive case studies demonstrating end-to-end product UX design processes.

• For each case study, clearly outline the problem statement, user research methods (including AI-assisted insights if applicable), design process, key interactions designed, and final outcomes.

• Highlight specific examples of how user feedback, data analysis, and AI tools were integrated into the design lifecycle to drive improvements.

• Include examples of interaction design patterns, user flows, wireframes, and high-fidelity prototypes, with explanations of design decisions.

• Demonstrate experience in maintaining and evolving design systems, including style guides and component libraries. Process Documentation:

• Present documentation that clearly articulates your approach to requirement gathering, user research, and design validation, emphasizing efficiency gains through AI tools.

• Provide examples of how you have documented design decisions, user flows, and interaction specifications for development teams.

• Showcase your ability to create and manage usability testing plans and synthesize findings, potentially including AI-driven analysis of results.

• Illustrate your process for collaborating with cross-functional teams (Product, Engineering, Operations) and incorporating their feedback into iterative design improvements.

📝 Enhancement Note: A strong portfolio is critical for this role, especially given the emphasis on AI tools and data-driven design. Candidates should be prepared to demonstrate tangible results and a structured approach to UX design, showcasing how AI has been leveraged to enhance efficiency and effectiveness.

💵 Compensation & Benefits

Salary Range: For a Mid-Senior level Product UX Designer with 4+ years of experience in Noida, India, the estimated annual salary range is ₹12,00,000 to ₹20,00,000. This estimate considers industry benchmarks for UX/Product Designers in India, the specific skills required (including advanced AI tool proficiency), and the on-site nature of the role.

Benefits:

• Comprehensive health insurance coverage (medical, dental, vision) for employees and dependents.

• Generous paid time off (PTO), including vacation days, sick leave, and public holidays.

• Professional development opportunities, including access to training, workshops, conferences, and online courses focused on UX design and AI technologies.

• Contribution to retirement savings plans (e.g., Provident Fund in India).

• Potential for performance-based bonuses and stock options, subject to company policy.

• Employee assistance program (EAP) offering confidential counseling and support services.

• Opportunities to work with cutting-edge AI design tools and contribute to innovative product development.

• Collaborative work environment with opportunities for professional growth and advancement.

Working Hours: Standard full-time work week, typically 40 hours per week, with flexibility to manage project timelines effectively. The role is on-site, requiring adherence to office operating hours.

📝 Enhancement Note: The salary range is an estimate based on industry data for comparable roles in Noida, India. The benefits listed are standard for a company of Clearwater Analytics' presumed size and industry, with a focus on professional growth and well-being relevant to a design professional.

🎯 Team & Company Context

🏢 Company Culture

Industry: Financial Technology (FinTech) / Investment Management Software. Clearwater Analytics operates in a highly regulated and data-intensive sector, requiring precision, security, and reliability in its software solutions. This context means user interfaces must be clear, efficient, and capable of handling complex financial data.

Company Size: Clearwater Analytics is a significant player in its market, likely employing several hundred to over a thousand employees globally, indicating a structured organization with established processes but also potential for dynamic growth and cross-functional collaboration.

Founded: Founded in 2001, Clearwater Analytics has a substantial history, suggesting a stable company with mature product lines and established market presence. This longevity often translates to a culture that values experience, stability, and continuous improvement.

Team Structure:

• The UX Design team likely operates within or closely alongside the Product Management and Engineering departments.

• Designers will collaborate with Product Managers on requirements and strategy, and with Engineers on implementation feasibility and technical constraints.

• Close interaction with Operations, Sales, and Marketing teams is expected to gather diverse user and business perspectives.

• A potential hierarchy might include a Lead UX Designer or Design Manager overseeing a team of designers with varying levels of experience. Methodology:

• Data-driven decision-making is paramount, especially in FinTech, influencing UX design to be focused on clarity, accuracy, and efficiency.

• Agile methodologies are likely employed for software development, requiring UX designers to be adaptable and integrate into sprint cycles.

• Emphasis on user research and usability testing to validate designs and ensure user needs are met.

• Integration of AI tools into the design workflow suggests a culture that embraces innovation and seeks efficiency gains through technology.

Company Website: https://www.clearwater-analytics.com/ (Assuming this is the correct company website based on the provided data)

📝 Enhancement Note: The FinTech industry context is crucial. It implies a need for designs that are not only user-friendly but also highly accurate, secure, and compliant. The company's age suggests a stable environment where established processes meet modern innovation, particularly with the integration of AI.

📈 Career & Growth Analysis

Operations Career Level: This role is positioned as a Mid-Senior level Product UX Designer. It involves significant autonomy in design execution, leading specific product areas, and mentoring junior team members. The focus on interaction design suggests a specialization within UX, requiring deep expertise in user flows, navigation architecture, and interface behavior. This level demands a strategic approach to problem-solving and the ability to influence product direction through design insights.

Reporting Structure: The designer will likely report to a Lead UX Designer, a Design Manager, or a Director of Product. They will work closely with Product Managers, Engineering Leads, and potentially Operations stakeholders. This structure allows for both specialized design focus and broad cross-functional collaboration.

Operations Impact: The Product UX Designer's work directly impacts user adoption, retention, and satisfaction within Clearwater Analytics' SaaS platform. By creating intuitive and efficient user experiences, they contribute to reducing support costs, increasing user productivity, and ultimately driving revenue growth through a superior product offering. The ability to leverage AI tools also positions this role to drive design process efficiency and innovation.

Growth Opportunities:

• Specialization: Deepen expertise in interaction design, AI-driven design methodologies, or specific areas of FinTech UX.

• Leadership: Progress to a Senior UX Designer role, Lead UX Designer, or Design Manager, taking on more strategic responsibilities and team leadership.

• Cross-functional Exposure: Gain deeper understanding of Product Management, Engineering, and Operations functions, potentially transitioning into a Product Owner or related role.

• Skill Development: Continuous learning and mastery of new AI design tools, research methodologies, and emerging UX trends.

• Mentorship: Develop leadership and communication skills by mentoring junior designers and contributing to the team's knowledge base.

📝 Enhancement Note: The growth path emphasizes both deepening technical UX skills, particularly in AI, and developing leadership capabilities. The FinTech context provides opportunities to specialize in a complex and rewarding domain.

🌐 Work Environment

Office Type: The role is specified as "On-site" in Noida, India. This suggests a traditional office environment designed for collaboration, with dedicated workspaces and shared amenities.

Office Location(s): Noida, Uttar Pradesh, India. This is a major business and IT hub, offering good connectivity and access to talent. The specific office location within Noida would typically be in a commercial or IT park area.

Workspace Context:

• Collaborative Spaces: The office will likely feature meeting rooms, breakout areas, and potentially open-plan zones designed to foster interaction between designers, developers, product managers, and other teams.

• Technology Access: Designers will have access to high-performance workstations, necessary software licenses (Figma, Adobe Creative Suite, AI tools), and reliable internet connectivity crucial for design work and collaboration.

• Team Interaction: Expect regular team meetings, design critiques, sprint planning sessions, and informal discussions to ensure alignment and drive projects forward effectively. The on-site nature facilitates spontaneous collaboration and knowledge sharing.

Work Schedule: Standard full-time office hours, typically Monday to Friday. While core hours will exist for team collaboration, there may be some flexibility to manage project deadlines, especially when working with global teams across different time zones.

📝 Enhancement Note: The on-site requirement emphasizes a preference for in-person collaboration, which can be highly beneficial for design-intensive roles requiring constant communication and brainstorming. The Noida location places the role within a vibrant tech ecosystem.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A recruiter or hiring manager will review your application and resume, focusing on relevant experience and AI tool proficiency.

• Portfolio Review & Presentation: You will likely be asked to present your portfolio, showcasing 2-3 key projects. Be prepared to discuss your design process, the challenges you faced, the solutions you implemented (especially those involving AI), and the impact of your work.

• Technical/Skills Interview: This may involve a live design exercise or a discussion about specific design tools, front-end technologies, and your experience with AI design/research tools.

• Cross-functional Interviews: Interviews with Product Managers, Engineers, or other stakeholders to assess collaboration skills, communication, and cultural fit.

• Final Interview: Potentially with senior leadership to discuss strategic thinking and long-term vision.

Portfolio Review Tips:

• Structure for Impact: Organize your portfolio with clear case studies. For each, detail the problem, your role, the process (emphasizing AI integration), design decisions, and measurable outcomes.

• Showcase AI Proficiency: Explicitly highlight how you've used AI tools (generative AI, AI-assisted design, AI research tools) to enhance your workflow, speed up processes, or uncover new insights. Provide concrete examples.

• Interaction Focus: Ensure your examples clearly demonstrate your expertise in interaction design – user flows, microinteractions, navigation patterns, and intuitive system behavior.

• Data-Driven Storytelling: Use data (user feedback, analytics, A/B test results) to support your design decisions and demonstrate the impact of your work. Quantify results whenever possible.

• Tailor to the Role: Emphasize projects that align with designing complex, data-dense applications, similar to Clearwater Analytics' SaaS products.

Challenge Preparation:

• Design Exercise: Be ready for a short design challenge, potentially involving a specific feature or user flow. Focus on your thought process, how you'd approach requirements, and how you might leverage AI tools for efficiency.

• Problem-Solving Scenarios: Prepare to discuss how you would tackle ambiguous problems, handle conflicting stakeholder feedback, or address technical constraints.

• AI Tool Application: Be ready to articulate how you would integrate specific AI tools into a given design problem or workflow.

📝 Enhancement Note: The interview process is designed to assess not only design skills but also the ability to integrate and leverage AI tools effectively, communicate design rationale, and collaborate within a product team. The portfolio is the primary tool for showcasing these capabilities.

🛠 Tools & Technology Stack

Primary Tools:

• Design Software: Figma (primary), Sketch, Adobe XD. Mastery of at least one is essential, with proficiency in others beneficial.

• Prototyping Tools: Figma's prototyping capabilities, potentially InVision or other specialized tools.

• AI-Assisted Design Tools: Figma AI, Adobe Firefly, Uizard for rapid ideation and prototyping.

• Generative AI Tools: ChatGPT, Claude, Midjourney for content drafting, persona generation, and visual concept exploration.

Analytics & Reporting:

• AI-Driven UX Research Tools: Maze, UserTesting AI, Hotjar AI, FigJam AI for synthesizing usability findings and user feedback at scale.

• Web Analytics: Google Analytics or similar platforms to understand user behavior on web applications.

• Data Visualization: Tools for presenting findings and dashboards, potentially Tableau or Power BI, or built-in reporting within other platforms.

CRM & Automation:

• Front-end Technologies: Familiarity with HTML, CSS, JavaScript. Knowledge of modern JavaScript frameworks like React or Angular is highly advantageous for design-to-code handoff.

• AI Copiloting/Code-Generation Tools: GitHub Copilot, Cursor, Claude for assisting with interactive component prototyping.

• Accessibility Tools: Stark, Adobe Firefly accessibility tools for validating WCAG compliance.

• Project Management Tools: Jira, Asana, or similar for managing tasks and project timelines.

• Productivity Suites: Microsoft Office Suite, with proficiency in Microsoft Copilot or other AI productivity assistants.

📝 Enhancement Note: This role requires a broad and deep technical skillset, with a significant emphasis on integrating AI tools across the entire design and research workflow. Proficiency in these tools is not just a preference but a core requirement.

👥 Team Culture & Values

Operations Values:

• User-Centricity: A deep commitment to understanding and serving the needs of users, driving design decisions based on user research and feedback.

• Data-Driven Innovation: Utilizing data analytics and AI insights to inform design strategies, validate hypotheses, and measure the impact of design solutions.

• Collaboration & Transparency: Fostering an open environment where ideas are shared, feedback is constructive, and cross-functional teams work cohesively towards common goals.

• Efficiency & Excellence: Striving for streamlined processes and high-quality outcomes, leveraging technology and best practices to deliver exceptional user experiences.

• Continuous Learning: Embracing new technologies, methodologies, and tools (especially AI) to continuously improve skills and drive innovation within the design function.

Collaboration Style:

• Cross-Functional Integration: Actively engaging with Product Management, Engineering, Operations, Sales, and Marketing to ensure holistic product development and alignment with business objectives.

• Iterative Design Process: Participating in regular design critiques, sprint reviews, and feedback sessions to refine designs collaboratively.

• Knowledge Sharing: Contributing to a culture of shared learning, documenting processes, and mentoring colleagues, particularly regarding new AI design tools and techniques.

📝 Enhancement Note: The culture values a blend of user advocacy, data-informed decision-making, and technological innovation, particularly in the realm of AI. Collaboration is key, requiring designers to be effective communicators and team players.

⚡ Challenges & Growth Opportunities

Challenges:

• Complexity of Data: Designing intuitive interfaces for data-dense financial applications requires balancing rich information display with ease of navigation and understanding.

• Integration of AI: Staying ahead of the curve with rapidly evolving AI design tools and effectively integrating them into established workflows can be challenging.

• Balancing Stakeholder Needs: Synthesizing diverse requirements from various internal departments and external clients into a cohesive and user-centered design.

• Measuring Design Impact: Quantifying the direct impact of UX improvements, especially in a B2B SaaS context, requires robust analytics and clear metrics.

Learning & Development Opportunities:

• AI Design Specialization: Opportunities to become an expert in AI-powered design tools, prompt engineering for design, and AI-driven user research methodologies.

• FinTech UX Mastery: Deepen knowledge of financial data, user behaviors within the FinTech space, and regulatory considerations for UX design.

• Leadership Development: Potential to lead design initiatives, mentor junior designers, and contribute to the strategic direction of the UX team.

• Industry Exposure: Access to conferences, webinars, and professional development programs focused on UX, AI, and FinTech.

📝 Enhancement Note: This role offers significant opportunities to become a leader in AI-augmented UX design within the specialized FinTech industry, facing complex challenges that drive innovation and professional growth.

💡 Interview Preparation

Strategy Questions:

• "Describe a complex data visualization or data-dense interface you designed. How did you ensure clarity and usability, and what role did AI play in your process?" (Focus on interaction design, data handling, and AI tool application).

• "Walk us through a time you used AI-generated insights or AI-assisted design tools to significantly improve a user experience or accelerate your design process. What were the results?" (Highlight practical AI application and measurable impact).

• "How do you approach gathering requirements from diverse stakeholders (e.g., Product, Engineering, Operations, Clients) for a new feature? How would you use AI tools to streamline this process?" (Assess collaboration, requirement gathering, and AI efficiency). Company & Culture Questions:

• "What interests you about Clearwater Analytics and our position in the FinTech industry?" (Research the company's products, market, and recent news).

• "How do you see AI transforming the field of UX design, and how do you stay current with these changes?" (Demonstrate passion for AI and continuous learning).

• "Describe your experience working in an on-site, collaborative environment. How do you contribute to team synergy and knowledge sharing?" (Highlight teamwork and communication skills). Portfolio Presentation Strategy:

• AI Integration Narrative: Weave a clear narrative throughout your portfolio presentation about how AI tools enhanced your design process, problem-solving, or outcome. Use specific examples.

• Quantifiable Results: For each case study, present metrics that demonstrate the impact of your design solutions (e.g., increased task completion rate, reduced error rate, improved user satisfaction scores).

• Interaction Design Depth: Focus on showcasing the intricate details of your interaction designs – animations, transitions, feedback mechanisms, and user flows – explaining the rationale behind each choice.

• Concise Storytelling: Be prepared to present your projects concisely, focusing on the most impactful aspects and your specific contributions. Practice your timing to ensure you cover key points within the allotted time.

📝 Enhancement Note: Interview preparation should heavily emphasize practical application of AI tools, data-driven decision-making, and clear articulation of the design process for complex FinTech products. Demonstrating how AI enhances efficiency and effectiveness is key.

📌 Application Steps

To apply for this Product UX Designer position:

• Submit your application through the provided Workday portal link.

• Curate Your Portfolio: Select 3-4 of your strongest projects that best showcase your interaction design skills, experience with data-dense applications, and practical application of AI design and research tools. Ensure each case study clearly outlines your process, challenges, solutions, and quantifiable outcomes.

• Optimize Your Resume: Tailor your resume to highlight keywords from the job description, especially "interaction design," "AI-assisted design," "Figma," "prototyping," "usability testing," and "SaaS." Quantify your achievements wherever possible.

• Prepare Your Presentation: Practice presenting your portfolio projects, focusing on your design process, decision-making rationale, and specifically how you leveraged AI tools to achieve your results. Be ready to discuss technical aspects like HTML/CSS/JavaScript familiarity.

• Research Clearwater Analytics: Understand their products, target audience, and market position in the FinTech industry. Prepare thoughtful questions about their design philosophy, team structure, and how they envision the role of AI in their product development.

⚠️ 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.