Product Designer (UI/UX)

📍 Job Overview

Job Title: Product Designer (UI/UX)

Company: Lyzr AI

Location: Bengaluru, Karnataka, India

Job Type: Full-Time

Category: Product Design / User Experience

Date Posted: September 15, 2026

Experience Level: Mid-Level (2-4 years)

Remote Status: Hybrid

🚀 Role Summary

• Design intuitive user interfaces and seamless user experiences for enterprise teams building, running, and supervising AI agents.

• Drive product strategy by framing complex problems, evaluating design options, and making critical decisions for shipped products.

• Collaborate closely within a small, autonomous product team, contributing to real product outcomes from week one.

• Leverage deep expertise in interaction design and information architecture to create robust systems for complex, data-dense B2B SaaS environments.

• Champion the evolving design language of agentic software, influencing how users interact with and trust AI.

📝 Enhancement Note: This role is positioned as a Product Designer, emphasizing problem-framing and strategic decision-making over pure visual execution. The core focus is on designing the user experience for AI agents within an enterprise context, requiring a strong understanding of B2B SaaS and the emerging field of agentic software.

📈 Primary Responsibilities

• Translate complex user needs and business requirements into intuitive and efficient product designs for enterprise AI agent platforms.

• Lead the end-to-end design process for new features and product areas, from initial problem definition and user research to high-fidelity prototyping and collaboration with engineering.

• Develop and refine interaction models, user flows, wireframes, and prototypes for complex systems involving AI agent supervision, task delegation, and performance monitoring.

• Conduct user research, usability testing, and analysis to gather insights and validate design decisions, ensuring solutions meet the needs of enterprise users.

• Collaborate closely with product managers, engineers, and other stakeholders to ensure design solutions are technically feasible, align with business goals, and deliver exceptional user experiences.

• Contribute to the development and maintenance of design systems to ensure consistency, scalability, and efficiency across the product.

• Stay abreast of the latest trends in AI, agentic software, and enterprise UX, proactively identifying opportunities to innovate and improve the user experience.

📝 Enhancement Note: The responsibilities have been inferred to align with a Product Designer role focused on B2B SaaS and AI. The emphasis on "framing problems" and "product thinking" from the original description suggests a proactive role in defining design challenges, not just executing them.

🎓 Skills & Qualifications

Education: While not explicitly stated, a Bachelor's degree in Design, Human-Computer Interaction, Computer Science, or a related field is typically expected for this level of product design role. Equivalent practical experience will also be considered.

Experience: 2–4 years of professional experience in Product Design, UI/UX Design, or Interaction Design, with a proven track record of shipping impactful products.

Required Skills:

• Product Thinking & Problem Framing: Demonstrated ability to deeply understand user problems, frame them effectively, and develop strategic design solutions.

• Interaction Design & Information Architecture: Strong skills in designing complex systems, multi-step flows, and managing dense data states.

• B2B SaaS / Enterprise Software Design: Experience designing for professional users in enterprise environments, understanding their workflows, constraints, and data density needs.

• Figma Proficiency: Expert-level command of Figma for design, prototyping, and collaboration at a production standard.

• Prototyping Tools: Fluency in modern prototyping tools to create interactive and realistic design concepts.

• Shipped Product Work: A portfolio showcasing successful product launches and the impact of your design contributions.

• System Thinking: Ability to think about products as interconnected systems rather than isolated screens.

Preferred Skills:

• AI-Native Product Design: Experience designing for AI agents, copilots, chat interfaces, or automation workflows, understanding common patterns and their limitations.

• User Research & Usability Testing: Experience conducting user research and translating findings into actionable design improvements.

• Design Systems: Experience building, scaling, or contributing to design systems.

• 0→1 Product Experience: Proven ability to build products or features from concept to launch within a startup or new product initiative.

• AI in Design Process: Demonstrated use of AI tools to enhance personal design workflow and exploration.

• AI Trust & Transparency Concepts: Familiarity with concepts like agent behavior, explainability, and human-in-the-loop control.

📝 Enhancement Note: The "What will make you win this role" section has been directly mapped to Required Skills. Preferred skills are derived from the "Cherry on top" section, indicating bonus qualifications that would be advantageous.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Shipped Product Case Studies: Present 2-3 comprehensive case studies of products you have designed and shipped, focusing on the impact and evolution of your work.

• Problem Framing & Solution Development: Clearly articulate the problem you were given, how you framed it, the design options considered, and the rationale behind the chosen solution.

• Interaction Design & System Logic: Showcase your ability to design complex user flows, information architecture, and manage data density within enterprise systems.

• Figma & Prototyping Examples: Demonstrate proficiency in Figma and other prototyping tools, showcasing the fidelity and interactivity of your designs.

• Impact Metrics: Quantify the impact of your design contributions, highlighting improvements in user efficiency, task completion, or adoption rates.

Process Documentation:

• Workflow Design & Optimization: Detail how you approached designing workflows for enterprise users interacting with AI agents, including considerations for permissions, data, and edge cases.

• System Implementation & User Flows: Illustrate your process for designing complex, multi-step user journeys and managing intricate system states.

• Measurement & Performance Analysis: Explain how you used data and user feedback to iterate on designs and measure their performance in a production environment.

📝 Enhancement Note: The requirements for portfolio and process documentation have been inferred based on the explicit request for "shipped product work" and the emphasis on "product thinking" and "framing problems." The focus is on demonstrating a robust design process and measurable impact.

💵 Compensation & Benefits

Salary Range: For a Product Designer with 2-4 years of experience in Bengaluru, India, a competitive salary range would typically fall between ₹12,00,000 to ₹20,00,000 per annum, depending on experience, specific skill set, and interview performance. This estimate is based on industry benchmarks for tech roles in major Indian tech hubs and the company's funding status.

Benefits:

• Zomato Meal Allowance: A practical benefit to support daily meal expenses.

• Extensive PTO Policy: Generous paid time off, promoting work-life balance and employee well-being.

• Company-Paid Subscriptions to Leading AI Tools: Access to cutting-edge AI tools, aligning with the company's mission and enabling professional development.

• Hybrid Work Model: Flexibility combining office collaboration with focused remote work.

• Stock Options/Equity: (Implicitly common in startups with significant funding, though not explicitly stated) Potential for ownership and participation in company growth.

Working Hours: Approximately 40 hours per week, with flexibility inherent in the hybrid work model, allowing for focused deep work and collaborative sessions.

📝 Enhancement Note: The salary range is an estimation based on typical compensation for mid-level Product Designers in Bengaluru, India, considering the company's stated funding and industry. Detailed benefits are extracted directly from the job description.

🎯 Team & Company Context

🏢 Company Culture

Industry: Enterprise Software, Artificial Intelligence (AI Agents)

Company Size: While not explicitly stated, Lyzr AI has raised $100M at a $500M valuation and serves 500+ enterprises, indicating a rapidly growing, well-funded Series B or later-stage startup. This suggests a dynamic, fast-paced environment with a strong focus on product development and customer success.

Founded: The founding date is not provided, but the company's significant funding and customer base suggest it is an established player in the emerging agentic software market.

Team Structure:

• Product Team: The role sits within the Product team, working alongside Product Managers and Engineers.

• Design Team: You will join a "small design team," implying close collaboration, direct impact, and a flatter hierarchy within design.

• Cross-functional Collaboration: Expected to collaborate closely with engineers and operators, indicating a highly collaborative and integrated team structure.

Methodology:

• Data-Driven Product Development: Emphasis on shipping product work and measuring impact suggests a data-informed approach to design and development.

• Problem-Centric Design: The role is defined by tackling problems rather than executing specifications, pointing to a methodology focused on user needs and strategic solutions.

• AI Agent Focus: The company's core business revolves around AI agents, meaning their methodologies are likely cutting-edge and focused on the unique challenges of human-AI interaction.

Company Website: https://careers.lyzr.ai

📝 Enhancement Note: Company size and stage are inferred from funding and customer base. The culture is described based on explicit statements about autonomy, ownership, and the quality of colleagues.

📈 Career & Growth Analysis

Operations Career Level: This role is at a Mid-Level Product Designer position (2-4 years of experience). It offers significant autonomy and ownership, characteristic of roles where individuals are expected to drive outcomes with minimal direct supervision. The emphasis on "framing problems" and making critical decisions suggests a path toward Senior Product Designer or Lead Product Designer roles.

Reporting Structure: The role reports into the Product team, likely to a Head of Product or Design Lead, within a small, focused design team.

Operations Impact: The Product Designer will have a direct and significant impact on Lyzr AI's core offering – the platform for building, running, and supervising AI agents. Their work will shape how enterprise users interact with AI, directly influencing product adoption, customer success, and the company's competitive differentiation in the agentic software market.

Growth Opportunities:

• Leadership in Emerging Field: Opportunity to become a leader in designing for agentic software, a rapidly evolving and high-demand area.

• Skill Specialization: Deepen expertise in B2B SaaS design, AI interaction patterns, and complex system design.

• Product Ownership: Gain experience driving product strategy and decision-making from problem definition to launch, with potential for increased scope and ownership.

• Startup Growth Trajectory: As Lyzr AI scales, there will be opportunities for career progression into senior or lead design roles, and potentially management positions.

📝 Enhancement Note: Career growth analysis is based on the specified experience level, company stage (well-funded startup), and the emphasis on autonomy and impact. The "Operations Impact" section is tailored to highlight how a designer contributes to the "operations" of AI agents.

🌐 Work Environment

Office Type: Hybrid work model, combining in-office collaboration with remote deep work.

Office Location(s): Bengaluru, India (specific office address: Maker Meridian - Address Maker, 560008). The hybrid model means days will be spent at this location.

Workspace Context:

• Collaborative Office Days: Office time is dedicated to "collaboration and team problem-solving," suggesting an environment conducive to brainstorming, whiteboarding, and in-person discussions.

• Focused Remote Days: Remote days are designated for "deep, uninterrupted work," allowing designers to concentrate on complex tasks like wireframing, prototyping, and detailed design execution.

• Access to Tools: Employees have access to "company-paid subscriptions to leading AI tools," meaning the workspace is equipped with the latest technologies relevant to the company's domain.

Work Schedule: The standard work week is approximately 40 hours. The hybrid model offers flexibility, allowing designers to structure their days to balance collaborative sessions in the office with focused individual work from home.

📝 Enhancement Note: The description of the workspace context is inferred from the "Hybrid structure" benefit and the general nature of design work, emphasizing both collaboration and focused execution.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Application Review: Focus on your resume and, critically, your portfolio. Be prepared to "defend end to end" your case studies.

• Portfolio Deep Dive: Expect detailed questions about your process, problem-framing, design decisions, and the impact of your shipped work.

• Problem-Solving/Design Challenge: You may be given a real-world problem to solve or asked to critique an existing design, demonstrating your product thinking and interaction design skills.

• Team Interviews: Meet with engineers and operators to assess collaboration style, communication, and cultural fit.

• Final Evaluation: Focus on your ability to drive outcomes, your understanding of B2B enterprise UX, and your vision for AI agent interaction.

Portfolio Review Tips:

• Curate for Impact: Select 2-3 of your strongest case studies that demonstrate shipped products and measurable results.

• Tell a Story: For each case study, clearly outline the problem, your process (research, ideation, iteration), your specific contributions, and the outcome. Use visuals effectively.

• Highlight Problem Framing: Emphasize how you approached defining and understanding the problem before jumping into solutions.

• Showcase Systemic Thinking: Illustrate how your designs fit into a larger system and address complex user flows and data densities.

• Quantify Achievements: Wherever possible, include metrics that demonstrate the success of your designs (e.g., increased conversion, reduced task time, improved user satisfaction).

• Figma & Prototyping: Ensure your portfolio includes examples of your Figma work and interactive prototypes that clearly convey your design intent.

Challenge Preparation:

• Understand Agentic Software: Research Lyzr AI's product and the broader landscape of AI agents, copilots, and enterprise AI platforms.

• Practice Problem Framing: Be ready to articulate how you would approach a vague problem statement related to enterprise AI tool usage.

• Prepare for "Why": For every decision in your case studies, be ready to explain the "why" – your rationale and the trade-offs considered.

• Demonstrate B2B SaaS Acumen: Be prepared to discuss the unique challenges and considerations of designing for enterprise users.

📝 Enhancement Note: The interview and portfolio review process is detailed based on the explicit instructions in the "How to apply" section and general best practices for product design roles in tech companies.

🛠 Tools & Technology Stack

Primary Tools:

• Figma: The core design tool for production-standard UI/UX design, wireframing, and prototyping.

• Modern Prototyping Tools: Beyond Figma, proficiency in tools like ProtoPie, Framer, or similar for creating high-fidelity, interactive prototypes.

• AI Productivity Tools: Access to and potential use of "leading AI tools" for design exploration and workflow enhancement.

Analytics & Reporting:

• Product Analytics Platforms: (Implicit) Experience with tools like Amplitude, Mixpanel, or Pendo for understanding user behavior and measuring product performance.

• User Feedback Tools: Familiarity with platforms for collecting and analyzing user feedback (e.g., surveys, in-app feedback widgets).

CRM & Automation:

• Enterprise SaaS Understanding: While not a direct tool requirement, an understanding of how products integrate into enterprise workflows and CRM systems is beneficial.

• Workflow Automation Concepts: Familiarity with designing for automated workflows, as this is central to Lyzr AI's product.

📝 Enhancement Note: The "Primary Tools" are directly mentioned. Other tools in Analytics & Reporting and CRM & Automation are inferred based on the context of a B2B SaaS company and the nature of product design roles in such environments.

👥 Team Culture & Values

Operations Values:

• Impact-Driven: A strong focus on shipping products that deliver tangible value and achieving production success rates.

• Ownership & Autonomy: Employees are hired to "think like founders," meaning they are given the space to drive their own outcomes and take significant responsibility.

• Meritocracy of Ideas: Ideas are evaluated based on their quality and potential impact, not seniority, fostering an environment where everyone's contributions are valued.

• Excellence in Execution: A commitment to working with "genuinely strong engineers and operators" and raising the level of performance across the team.

• Curiosity & Innovation: Encouragement to explore new interaction patterns, especially in the rapidly evolving AI space.

Collaboration Style:

• Cross-Functional Integration: Close collaboration with Product Managers and Engineers is essential for successful product development.

• Team Problem-Solving: Office days are specifically allocated for collaborative problem-solving sessions.

• Open Communication: The "everybody is a visionary" culture suggests an environment where open discussion and idea sharing are encouraged.

• Learning from Peers: Working with "genuinely strong" colleagues implies a culture of mutual learning and skill elevation.

📝 Enhancement Note: The team culture and values are derived from the "Life at Lyzr" section and the overall tone of the job description, emphasizing autonomy, impact, and high performance.

⚡ Challenges & Growth Opportunities

Challenges:

• Designing for Novelty: Agentic software is a new paradigm; designing intuitive interfaces for building, running, and supervising AI agents presents unique challenges in establishing clear interaction patterns and user trust.

• Balancing Complexity and Usability: Enterprise users require powerful, flexible tools, but these must remain usable and efficient, especially when dealing with dense data and complex AI behaviors.

• Rapidly Evolving AI Landscape: Keeping pace with advancements in AI and their implications for user experience design requires continuous learning and adaptation.

• Startup Growth Pains: Navigating the fast-paced, resource-constrained environment of a high-growth startup can be demanding, requiring adaptability and resilience.

Learning & Development Opportunities:

• Pioneer in Agentic Design: Opportunity to define best practices and establish design patterns for a nascent but critical field.

• Deep Dive into AI Technology: Gain intimate knowledge of AI agents and their operational deployment within enterprise settings.

• Mentorship from Top Talent: Learn from experienced engineers and operators within a high-caliber team.

• Exposure to Cutting-Edge Tools: Utilize and potentially influence the adoption of leading AI tools in your daily workflow.

• Career Advancement in a Funded Startup: Grow with a well-funded company, with potential for increased responsibility and leadership roles as the company scales.

📝 Enhancement Note: Challenges are identified based on the nature of designing for AI agents in an enterprise context and the startup environment. Growth opportunities are tied to these challenges and the company's trajectory.

💡 Interview Preparation

Strategy Questions:

• "Walk us through a problem you were given, how you framed it, the options you rejected, and why the version that shipped was the right one." (Be ready with a detailed case study demonstrating product thinking and decision-making).

• "How would you approach designing the interface for an enterprise user to supervise an AI agent performing a complex task?" (Focus on user control, transparency, error handling, and workflow integration).

• "Describe a complex system you designed. What were the key information architecture challenges, and how did you manage data density and multi-step flows?" (Use a portfolio example to illustrate your systemic thinking). Company & Culture Questions:

• "Why are you interested in designing for AI agents specifically, and what are your thoughts on the current state of agentic software design?" (Showcase your curiosity and informed opinions).

• "How do you approach collaboration within a small, fast-paced team, especially when working with engineers on complex technical products?" (Highlight your ability to work effectively in a hybrid environment and communicate design intent clearly).

• "Describe a time you used AI tools in your own design process. What was the impact?" (Be specific about tools and outcomes). Portfolio Presentation Strategy:

• Structure for Impact: Begin each case study with a clear summary of the problem and your key contributions.

• Show, Don't Just Tell: Use visuals (screenshots, mockups, prototypes) extensively to illustrate your design process and final solutions.

• Focus on the "Why": For every design decision, explain the rationale and the user problem it solved.

• Quantify Results: Present metrics that demonstrate the success of your designs, such as improvements in task completion time, user satisfaction, or adoption rates.

• Defend Your Work: Be prepared to answer in-depth questions about every aspect of your case studies, demonstrating a deep understanding of your design choices and their impact.

📝 Enhancement Note: Interview preparation is tailored to the specific requirements and emphasis of this role, particularly the focus on product thinking, B2B SaaS, and AI agent design.

📌 Application Steps

To apply for this Product Designer (UI/UX) position:

• Submit your application through the Lyzr AI careers page at careers.lyzr.ai or send your resume and portfolio directly to hiring@lyzr.ai.

• Portfolio Customization: Curate your portfolio to highlight 2-3 case studies showcasing shipped B2B SaaS or enterprise products, with a strong emphasis on your problem-framing, interaction design, and impact.

• Resume Optimization: Ensure your resume clearly articulates your 2-4 years of experience in product design, UI/UX, or interaction design, using keywords from the job description (e.g., B2B SaaS, enterprise, AI agents, Figma, system thinking).

• Interview Preparation: Practice articulating your design process, especially how you frame problems and make decisions. Prepare to discuss your experience with complex systems and your thoughts on AI interaction design.

• Company Research: Familiarize yourself with Lyzr AI's mission, product, and the emerging field of agentic software to demonstrate genuine interest and understanding.

⚠️ 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.