UX Designer

📍 Job Overview

Job Title: UX Designer Company: WorkSpan Location: Bangalore, India Job Type: Salaried Full-Time Category: UX/UI Design, Product Design Date Posted: October 16, 2025 Experience Level: 0-2 Years (Entry-Level/Junior) Remote Status: Hybrid (Remote OK)

🚀 Role Summary

• Design and execute high-fidelity mockups and interactive prototypes using Figma to enhance AI-powered features.
• Maintain and expand an AI-focused design system, ensuring consistency and scalability of UI components for Agentic AI and automation workflows.
• Conduct user research and usability testing to understand user interactions with AI systems, focusing on approachability, trustworthiness, and ethical implications.
• Collaborate closely with senior designers, ML engineers, and product managers to translate complex AI concepts into intuitive and user-friendly experiences.
• Develop design assets and specifications for seamless engineering handoff, supporting the creation of AI-powered features and Agentic AI interfaces.

📝 Enhancement Note: This role is positioned as an entry-level UX Designer with a strong emphasis on AI and Agentic AI. The company is looking for candidates with a foundational understanding of UX principles, proficiency in Figma, and a genuine interest in AI, even if their professional experience is limited. The "Remote OK" status suggests flexibility, but the primary location is Bangalore, India, indicating a hybrid model is likely preferred.

📈 Primary Responsibilities

• Create high-fidelity mockups and interactive prototypes in Figma for AI-powered features and Agentic AI interfaces.
• Maintain and contribute to an AI-focused design system, developing new components and ensuring adherence to established patterns for AI-human interaction.
• Design micro-interactions and animations to make AI features feel approachable, trustworthy, and intuitive.
• Produce detailed design assets and comprehensive specifications for efficient engineering handoff.
• Assist in the creation of wireframes and prototypes, focusing on user flows for AI-driven functionalities.
• Support the development of UI components specifically for Agentic AI features and conversational design elements.
• Collaborate on the design of user journeys that illustrate the interaction between users and AI agents.
• Assist in planning and conducting user research to gather insights on AI system interactions and user perceptions.
• Help organize and analyze usability testing sessions for AI features, documenting feedback on trust and effectiveness.
• Document user feedback related to AI agent interactions and overall trust levels.
• Create comprehensive user journey maps that depict the collaborative workflows between users and AI agents.

📝 Enhancement Note: The responsibilities highlight a blend of core UX design tasks with a specialized focus on AI. The emphasis on "Agentic AI," "automation workflows," and "conversational design" indicates the company is at the forefront of AI product development. Responsibilities like "assist in creating wireframes" and "help organize usability testing" confirm the junior nature of this role.

🎓 Skills & Qualifications

Education:

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

Experience:

• 1-3 years of UX/UI design experience, with internships and academic projects being highly valued.
• Demonstrated experience in creating wireframes, user flows, and interactive prototypes.
• Proven ability to work with design systems and understand component-based design.
• Experience in building and optimizing complex workflows and data-heavy interfaces.

Required Skills:

• Proficiency in Figma for UI design, prototyping, and collaboration.
• Strong portfolio showcasing design thinking, problem-solving skills, and a clear understanding of the end-to-end design process.
• Solid understanding of user research methodologies and usability testing principles.
• Ability to create detailed design assets and specifications for engineering handoff.
• Excellent collaboration and communication skills, with the ability to work effectively in cross-functional teams.
• Basic understanding of design systems and component libraries.
• Ability to map information architecture and user flows for enterprise-level applications.

Preferred Skills:

• Academic or personal projects involving Agentic AI, automation workflows, chatbots, or conversational design.
• Demonstrated curiosity about AI and its applications, evident through projects, courses, or self-learning.
• Experience using AI tools such as ChatGPT, Claude, or Midjourney (personal use is acceptable).
• Basic understanding of how Agentic AI works and its potential limitations.
• Familiarity with prompt-based AI design tools.
• Willingness to learn about machine learning concepts and their UX implications.
• Experience in designing micro-interactions and animations.

📝 Enhancement Note: The qualifications clearly define an entry-level to junior role, valuing potential and demonstrated interest as much as direct professional experience. The emphasis on AI tools and concepts, even for personal projects, is a significant differentiator. The inclusion of "academic or personal projects" in the preferred skills is a strong signal for recent graduates or those transitioning into UX.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Showcase end-to-end design processes for at least 2-3 projects, clearly detailing the problem, your role, design decisions, and outcomes.
• Include examples of wireframes, user flows, high-fidelity mockups, and interactive prototypes created using Figma.
• Demonstrate your approach to user research, usability testing, and how you incorporated feedback into your designs.
• Highlight any experience or projects related to AI, automation, chatbots, or conversational interfaces.
• Present how you collaborated with stakeholders (product managers, engineers) and handled design challenges.
• Showcase your understanding and contribution to design systems or component libraries.

Process Documentation:

• Clearly articulate your design process, including discovery, ideation, prototyping, testing, and iteration phases.
• Provide examples of how you translated user needs and business requirements into tangible design solutions.
• Demonstrate your ability to document design decisions and rationale for engineering handoff.
• Show examples of how you have managed ambiguity and adapted your process based on project needs.

📝 Enhancement Note: The portfolio requirements are geared towards assessing a candidate's foundational UX skills and their ability to apply them, particularly in the context of emerging AI technologies. The emphasis on process documentation and clear articulation of design decisions is crucial for an entry-level role where understanding the 'why' behind a design is as important as the 'what'.

💵 Compensation & Benefits

Salary Range: INR 6,00,000 - INR 10,00,000 per annum (Approximately USD 7,200 - USD 12,000 per annum).

Benefits:

• Comprehensive health insurance (medical, dental, vision) for employees and dependents.
• Paid time off, including vacation days, sick leave, and public holidays.
• Professional development budget for courses, conferences, and certifications relevant to UX and AI.
• Opportunities for mentorship from senior designers and AI experts.
• Flexible working hours and hybrid work arrangement options.
• Access to cutting-edge AI tools and technologies for design exploration.
• Potential for performance-based bonuses.
• Employee assistance program (EAP) for mental and emotional well-being.
• Regular team-building activities and social events.

Working Hours:

• Standard full-time employment, typically around 40 hours per week.
• Flexibility in daily start and end times, within reasonable business hours for collaboration.
• Adherence to Indian Standard Time (IST) for core working hours and team synchronization.

📝 Enhancement Note: Salary range is estimated based on entry-level UX Designer roles in Bangalore, India, considering the company's likely industry (tech/SaaS) and the specialized AI focus. Benefits are standard for tech companies in India, with a particular emphasis on professional development and AI tool access, aligning with the role's requirements.

🎯 Team & Company Context

🏢 Company Culture

Industry: Technology (SaaS, Enterprise Software, Partner Ecosystem Management) Company Size: 201-500 Employees (as per LinkedIn data, though this can fluctuate) Founded: 2016 (This indicates a relatively young, growth-stage company with a dynamic environment.)

Team Structure:

• The UX team likely consists of senior designers, mid-level designers, and potentially other specialized roles (e.g., UX researchers, UI developers).
• This role reports into a Senior UX Designer or a UX Design Lead, who will provide mentorship and guidance.
• Close collaboration with Product Managers and Machine Learning Engineers is expected, forming cross-functional pods focused on specific product areas, particularly AI features.
• The overall company culture is likely fast-paced, innovative, and focused on delivering value to enterprise clients managing complex partner ecosystems.

Methodology:

• The company likely follows an Agile development methodology, with design sprints and iterative development cycles.
• Emphasis on data-driven decision-making, incorporating user feedback and analytics to inform design choices.
• A strong focus on user-centric design principles, ensuring that products are intuitive, efficient, and solve real business problems.
• The integration of AI into their platform suggests a forward-thinking approach to technology adoption and innovation.

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

📝 Enhancement Note: WorkSpan operates in a niche but critical area of enterprise software – partner ecosystem management. Their move into AI signifies a strategic pivot to leverage advanced technologies for their clients, who often manage significant revenue streams through partnerships. This context is crucial for a UX designer to understand the impact and complexity of their work.

📈 Career & Growth Analysis

Operations Career Level: Junior UX Designer / UX Designer I This role is an entry point into the UX design field, specifically within a B2B SaaS environment with a strong AI focus. It's designed for individuals who are building their foundational skills and gaining practical experience in product design. The scope includes contributing to specific features and components under guidance, rather than leading entire product initiatives.

Reporting Structure: The UX Designer will likely report to a Senior UX Designer or a Design Manager. This direct reporting line ensures adequate mentorship, feedback, and guidance for skill development. Collaboration will extend to Product Managers, ML Engineers, and other designers within the product development lifecycle.

Operations Impact: While not directly a "Revenue Operations" or "Sales Operations" role, this UX Designer role has a significant indirect impact on revenue. By creating intuitive and effective AI-powered user interfaces for WorkSpan's platform, the designer contributes to:

• Increased user adoption and engagement with new AI features.
• Improved efficiency for enterprise clients managing their partner ecosystems, potentially leading to higher revenue generation for those clients.
• Enhanced customer satisfaction and retention for WorkSpan.
• A competitive edge for WorkSpan by offering state-of-the-art AI-driven user experiences.

Growth Opportunities:

• Skill Specialization: Deepen expertise in AI UX, conversational design, or complex enterprise UI patterns.
• Design System Contribution: Grow into a role focused on maintaining and evolving the design system.
• Project Leadership: Progress to leading design for specific features or smaller product areas.
• Mentorship: Develop into a mentor for future junior designers.
• Cross-functional Exposure: Gain a deeper understanding of ML engineering and product strategy.
• Potential for Senior Roles: With demonstrated growth and impact, advance to Mid-Level or Senior UX Designer positions within WorkSpan.

📝 Enhancement Note: Framing this as an "Operations Career Level" is a stretch for a UX role, but the prompt requires it. The key is to highlight how design operations and product design contribute to the broader business and revenue goals. The growth opportunities are standard for a junior designer but are framed to align with the company's AI focus.

🌐 Work Environment

Office Type: Hybrid Work Model. While "Remote OK" is indicated, the primary location is Bangalore, suggesting a preference for an office-based presence for collaboration, with flexibility for remote work days. Office Location(s): Bangalore, India. Specific office address details would typically be provided upon request or during the interview process.

Workspace Context:

• Collaborative Environment: The office is likely designed to foster collaboration, with meeting rooms, breakout spaces, and open areas for team interaction. This is essential for design critiques, brainstorming sessions, and cross-functional sync-ups.
• Tools and Technology: Employees will have access to standard office equipment, high-speed internet, and potentially specialized hardware for design work. Access to WorkSpan's software suite, including Figma licenses and AI tools, will be provided.
• Team Interaction: Opportunities for regular interaction with the design team, product, and engineering departments are integral to the hybrid model, facilitating knowledge sharing and problem-solving.

Work Schedule:

• Standard full-time hours (approx. 40 hours/week) are expected, with some flexibility in daily start and end times to accommodate personal needs and team collaboration across different time zones if applicable.
• Core working hours will be aligned with IST to ensure effective team communication and participation in meetings.

📝 Enhancement Note: The hybrid nature of the role is a key aspect. While remote work is an option, the emphasis on collaboration within a Bangalore office context is important for candidates to understand the practical day-to-day work environment.

📄 Application & Portfolio Review Process

Interview Process:

1. Initial Screening: A brief call with a recruiter to assess basic qualifications, interest in AI, and cultural fit.
2. Technical Interview/Portfolio Review: A deeper dive into your portfolio with a Senior UX Designer or Design Lead. This will involve walking through your projects, discussing your design process, problem-solving approach, and how you handled challenges. Expect questions about your experience with Figma, AI concepts, and user research.
3. Design Challenge/Case Study: You may be given a take-home design challenge or asked to present a more detailed case study from your portfolio, focusing on a specific problem relevant to AI-driven interfaces or enterprise tools. This assesses your design thinking, problem-solving skills, and ability to articulate your rationale.
4. Cross-functional Interview: A conversation with a Product Manager and/or an ML Engineer to evaluate your collaboration skills, understanding of technical constraints, and ability to communicate design decisions effectively within a team.
5. Final Interview: A discussion with a hiring manager or senior leader to assess overall fit, career aspirations, and understanding of WorkSpan's vision.

Portfolio Review Tips:

• Focus on AI Relevance: Highlight projects that demonstrate your interest or experience with AI, automation, or complex data interfaces. If direct AI project experience is limited, frame how your existing projects showcase transferable skills (e.g., designing for complex workflows, user trust, intuitive interaction).
• Structure Your Narrative: For each project, clearly articulate the problem statement, your specific role and contributions, the design process you followed, key decisions you made, and the impact or learnings.
• Showcase Figma Skills: Be prepared to demonstrate specific Figma features you used, such as component libraries, prototyping capabilities, and collaboration tools.
• Explain Your Thinking: Don't just show deliverables; explain the "why" behind your design choices. Discuss user research findings, testing outcomes, and how they influenced your iterations.
• Address AI Concepts: Be ready to discuss your understanding of AI UX principles, user trust in AI, and ethical considerations. Even if theoretical, demonstrate your thought process.

Challenge Preparation:

• Understand the Problem: Thoroughly analyze the prompt, identify key constraints, and ask clarifying questions.
• Focus on Process: Demonstrate a clear, structured design process. It's not just about the final UI, but how you arrived there.
• AI Integration: If the challenge involves AI, think about how AI can genuinely enhance the user experience, not just as a buzzword. Consider user trust, explainability, and potential biases.
• Time Management: Allocate your time effectively across research, ideation, wireframing, prototyping, and final presentation.
• Presentation Skills: Practice articulating your ideas clearly and concisely. Be prepared to present your solution and defend your design decisions.

📝 Enhancement Note: The interview process is typical for a UX role, with a strong emphasis on the portfolio and a potential design challenge. The specific mention of AI and Agentic AI in the context of the portfolio review and challenge preparation is key for candidates to tailor their approach.

🛠 Tools & Technology Stack

Primary Tools:

• Figma: The core tool for UI design, wireframing, prototyping, and collaboration. Mastery is required.
• AI Design Tools: Proficiency or familiarity with prompt-based AI tools like ChatGPT, Claude, or Midjourney for design exploration and workflow enhancement.
• Prototyping Tools: Figma's built-in prototyping capabilities will be heavily utilized.
• Design System Tools: Experience working with or contributing to design systems and component libraries.

Analytics & Reporting:

• User Analytics Platforms: Familiarity with tools like Google Analytics, Mixpanel, or Amplitude for understanding user behavior within the application.
• Usability Testing Platforms: Tools for recording and analyzing usability sessions (e.g., Lookback, UserTesting.com, or internal tools).
• Data Visualization Tools: Basic understanding of how design outputs feed into dashboards for performance tracking.

CRM & Automation:

• Internal Project Management Tools: Likely Jira, Asana, or Trello for tracking design tasks and sprint progress.
• Collaboration Platforms: Slack, Microsoft Teams for daily communication and team coordination.
• Design Handoff Tools: Zeplin, Avocode, or Figma's inspect mode for communicating designs to engineers.

📝 Enhancement Note: Figma is explicitly called out as required. The mention of "prompt based AI Design Tools" indicates a forward-thinking approach to design workflow, which candidates should be aware of. The other tools are standard for a modern SaaS product development environment.

👥 Team Culture & Values

Operations Values:

• User-Centricity: A deep commitment to understanding and serving the user, ensuring that AI features are not only innovative but also genuinely beneficial and easy to use.
• Innovation & Curiosity: A culture that encourages exploration of new technologies, particularly AI, and fosters a desire to learn and experiment.
• Collaboration & Transparency: Open communication and teamwork across design, product, and engineering to build cohesive and effective solutions.
• Data-Driven Decision Making: Utilizing user research, testing data, and analytics to inform design choices and measure impact.
• Quality & Craftsmanship: A focus on delivering high-quality, polished designs that are both functional and aesthetically pleasing, with attention to detail in micro-interactions and animations.
• Ethical Design: A strong consideration for the ethical implications of AI, user trust, and data privacy in design solutions.

Collaboration Style:

• Cross-functional Pods: Designers work closely within agile teams alongside product managers and engineers, participating actively in all phases of the product development lifecycle.
• Design Critiques and Feedback: Regular design reviews and feedback sessions are integral to the process, fostering continuous improvement and shared learning.
• Knowledge Sharing: An environment that encourages sharing best practices, learnings from research, and insights into AI UX trends.
• Proactive Communication: Designers are expected to proactively communicate their design rationale, challenges, and proposed solutions to stakeholders.

📝 Enhancement Note: The values and collaboration style are geared towards a modern, agile tech company with a strong emphasis on innovation and user experience, particularly in the emerging field of AI. The mention of "ethical design" is particularly relevant given the AI focus.

⚡ Challenges & Growth Opportunities

Challenges:

• Designing for AI Ambiguity: Navigating the inherent uncertainty and rapid evolution of AI technologies and translating them into stable, user-friendly interfaces.
• Building User Trust in AI: Designing AI features that users can rely on and feel comfortable with, addressing concerns about accuracy, bias, and data privacy.
• Integrating AI Seamlessly: Ensuring AI features enhance, rather than complicate, the existing user experience and workflows.
• Keeping Pace with AI Advancements: Continuously learning about new AI capabilities and how they can be applied to product design.
• Balancing Innovation with Usability: Innovating with AI while ensuring the core usability and efficiency of the platform are maintained.

Learning & Development Opportunities:

• AI UX Specialization: Dedicated learning paths and projects focused on mastering the nuances of designing for AI, including conversational interfaces, agentic AI, and ML-driven features.
• Advanced Figma Skills: Opportunities to become a power user of Figma, exploring advanced features for complex prototyping, design systems, and collaboration.
• Industry Events & Courses: Access to relevant conferences, workshops, and online courses focused on UX, AI, and enterprise software design.
• Mentorship Program: Direct guidance from experienced senior designers and AI experts within WorkSpan.
• Exposure to Enterprise SaaS: Gaining deep insights into the complexities of B2B enterprise software and the needs of large organizations.

📝 Enhancement Note: The challenges presented are directly tied to the role's focus on AI and enterprise UX. The growth opportunities are framed to address these challenges and provide clear pathways for career advancement within the AI UX domain.

💡 Interview Preparation

Strategy Questions:

• AI UX Philosophy: "How do you approach designing for AI? What are the key considerations for building user trust in AI systems?" (Prepare to discuss your understanding of AI ethics, explainability, transparency, and user control.)
• Design Process & Problem Solving: "Describe a complex design problem you solved. Walk us through your process, including user research, ideation, and iteration." (Be ready to use a portfolio project as a case study, emphasizing your problem-solving methodology.)
• Figma Proficiency: "How do you leverage Figma for complex prototyping and design system management? Can you show us an example from your portfolio?" (Prepare to demonstrate specific Figma techniques or discuss your approach to component-based design.)

Company & Culture Questions:

• WorkSpan's AI Vision: "What excites you about WorkSpan's focus on AI in partner ecosystem management?" (Research WorkSpan's mission and recent AI developments. Show genuine interest in their specific application of AI.)
• Collaboration Style: "How do you prefer to collaborate with product managers and engineers? Describe a time you had to advocate for a design decision." (Highlight your ability to work effectively in cross-functional teams and communicate design rationale.)
• Learning & Adaptability: "How do you stay updated on UX trends and AI advancements? Describe a time you had to learn a new tool or concept quickly." (Show your proactive learning approach and comfort with ambiguity.)

Portfolio Presentation Strategy:

• Tell a Story: Structure your portfolio presentation as a narrative for each project. Start with the user problem and business context, detail your design journey, and conclude with the impact or learnings.
• Highlight AI Elements: If you have AI-specific projects, lead with those. If not, explain how your general UX skills are transferable to designing AI-powered features (e.g., designing for complex data, user trust, intuitive workflows).
• Focus on Figma: Be prepared to share your screen and walk through specific Figma files, demonstrating your proficiency in prototyping, component usage, and design system implementation.
• Quantify Impact (if possible): Even for academic projects, try to articulate potential impact or learnings that could be measured.
• Address Ethical Considerations: For any AI-related discussion, be ready to touch upon ethical implications and how you'd approach them in design.

📝 Enhancement Note: The interview preparation focuses on assessing both core UX skills and the candidate's suitability for an AI-centric role. Emphasizing the portfolio's AI relevance and demonstrating a structured design process are key takeaways.

📌 Application Steps

To apply for this UX Designer position:

• Submit your application through the WorkSpan careers portal via the provided link.
• Portfolio Customization: Ensure your portfolio prominently features projects that demonstrate your design thinking, problem-solving skills, and any relevant experience or interest in AI, automation, or complex data interfaces. Clearly articulate your process and Figma proficiency.
• Resume Optimization: Tailor your resume to highlight keywords from the job description, such as "UX Design," "Figma," "Prototyping," "User Research," "AI Design," and "Design Systems." Quantify achievements where possible.
• Interview Preparation: Practice articulating your design process and project outcomes, focusing on how you would approach designing AI-powered features. Prepare to discuss your understanding of AI UX and user trust.
• Company Research: Gain an understanding of WorkSpan's mission, its focus on partner ecosystem management, and its strategic direction with AI technologies. This will help you tailor your responses and demonstrate genuine interest.

⚠️ Important Notice: This enhanced job description includes AI-generated insights and operations industry-standard assumptions. All details should be verified directly with the hiring organization before making application decisions.

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