Platform Product Designer - L5

📍 Job Overview

Job Title: Platform Product Designer - L5

Company: JazzX AI

Location: Bengaluru, Karnataka, India

Job Type: Full-Time

Category: Product Design / UX/UI Design

Date Posted: April 15, 2026

Experience Level: L5 (Equivalent to 6-8 years)

Remote Status: On-site

🚀 Role Summary

• This role is pivotal in shaping the user experience of JazzX AI's core platform, focusing on translating complex AI-native capabilities into intuitive and actionable interfaces for builders and solution teams.

• You will be responsible for the end-to-end design of critical workflows, ensuring usability, scalability, and clarity for both technical and semi-technical personas interacting with enterprise-grade AI systems.

• A key focus will be on enhancing the builder experience by identifying and mitigating friction points, enabling smoother transitions from exploration to production, and ensuring users understand system behavior and outputs.

• This position requires active contribution to and evolution of a scalable design system to maintain consistency and facilitate pattern reuse across various platform modules and workflows.

• Close collaboration with Product, Engineering, AI, and Solution teams is essential to translate ambiguity into structured UX solutions and drive iterative design cycles from ideation through to high-fidelity execution.

📝 Enhancement Note: The "L5" designation often implies a senior individual contributor role, suggesting a need for significant autonomy, strategic thinking, and the ability to mentor or guide less experienced designers. The emphasis on "AI-native digital workers" and "institutional intelligence" points towards a highly technical and complex product domain, requiring designers comfortable with abstract concepts and intricate systems.

📈 Primary Responsibilities

• Own the complete user experience (UX) for key platform workflows, from initial concept ideation through to polished, high-fidelity design execution.

• Develop intuitive interaction models and user interfaces that simplify the configuration and management of complex, multi-step enterprise AI systems.

• Design for a balance between user-friendliness and the power, flexibility, and correctness required for high-stakes enterprise applications.

• Proactively identify and address user friction within daily builder workflows to enhance efficiency and adoption.

• Design experiences that cater to a spectrum of users, from highly technical developers to semi-technical solution architects.

• Ensure users gain a clear understanding of system behavior, generated outputs, and inherent trade-offs through thoughtful interface design.

• Rapidly create prototypes, ranging from low to high fidelity, to effectively validate design concepts and gather user feedback.

• Conduct comprehensive user research, including interviews and usability testing, and synthesize findings into actionable design improvements.

• Leverage both qualitative and quantitative data signals to drive iterative design enhancements and optimize user flows.

• Contribute to the development and ongoing maintenance of a robust and scalable design system.

• Guarantee a high degree of consistency in user interface patterns and user experience across all platform features and modules.

• Promote effective reuse of established design patterns to accelerate development and ensure a cohesive user journey.

• Foster strong partnerships with Product Management, Engineering, AI Research/Engineering, and Solution Architecture teams.

• Translate ambiguous requirements and complex technical concepts into clear, structured UX solutions and comprehensive design artifacts.

• Actively participate in all phases of the iterative design process, including regular reviews, critiques, and validation cycles.

📝 Enhancement Note: The responsibilities highlight a blend of strategic design ownership and tactical execution. The emphasis on "AI-native digital workers" and "institutional intelligence" suggests the need for designers who can conceptualize and design for systems that learn, reason, and evolve, rather than static tools. The requirement to balance "usability with power, flexibility, and correctness" is critical for enterprise-grade software where errors have significant consequences.

🎓 Skills & Qualifications

Education: Bachelor's degree in Design, Human-Computer Interaction (HCI), Computer Science, or a related field; or equivalent practical experience.

Experience:

• 6–8 years of dedicated experience in UX/UI design roles.

• Proven experience designing for B2B SaaS products, complex enterprise applications, or technical platforms.

Required Skills:

• Strong foundation in interaction design principles and information architecture.

• Expertise in designing structured workflows and guided user experiences.

• Proficiency in Figma, including advanced component creation, auto-layout, and interactive prototyping.

• Ability to translate highly complex, technical concepts into intuitive and user-friendly UI patterns.

• Experience in conducting user research methodologies (e.g., user interviews, usability testing, surveys) and synthesizing insights.

• Proven track record of rapidly prototyping concepts from low to high fidelity to validate ideas.

• Familiarity with the principles and application of design systems for maintaining consistency and scalability.

• Excellent communication and collaboration skills, with the ability to partner effectively with cross-functional teams.

Preferred Skills:

• Experience designing for technical or developer-facing products.

• Exposure to AI/ML-powered products and understanding of their unique design considerations.

• Previous experience with workflow automation tools, low-code/no-code platforms, or developer toolkits.

• Ability to analyze and interpret both qualitative and quantitative data to inform design decisions.

• Understanding of enterprise software environments and their specific user needs and constraints.

📝 Enhancement Note: The "L5" level and the B2B SaaS/complex application experience suggest that candidates should be prepared to discuss their experience with enterprise-level challenges, such as scalability, security, integration, and the needs of diverse user personas within large organizations. The emphasis on "AI-native" implies a preference for candidates who can grasp and translate abstract AI concepts into tangible user benefits.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Showcase at least 2-3 comprehensive case studies detailing end-to-end product design projects, ideally from B2B SaaS or complex platform environments.

• For each case study, clearly articulate the problem statement, your specific role and contributions, the design process followed, key decisions made, and the final outcomes.

• Demonstrate a strong understanding of user-centered design methodologies, including research, ideation, prototyping, and iteration.

• Highlight your ability to translate complex requirements into intuitive user flows and interface designs.

• Include examples of how you have contributed to or utilized design systems for consistency and efficiency.

Process Documentation:

• Be prepared to discuss your personal design process in detail, including how you approach ambiguity and translate abstract concepts into concrete design solutions.

• Explain your methods for conducting user research, synthesizing findings, and integrating feedback into iterative design cycles.

• Describe your approach to prototyping, from low-fidelity wireframes to high-fidelity interactive mockups, and how you use prototypes for validation.

• Articulate your understanding of design system principles and how you contribute to or leverage them in your work.

• Be ready to discuss how you collaborate with engineering and product teams to ensure successful design implementation.

📝 Enhancement Note: For a role focused on platform design and complex AI systems, the portfolio should ideally include examples that demonstrate the ability to design for configurability, complex data visualization, and multi-step workflows. Demonstrating how the candidate has simplified intricate processes or made powerful, data-driven systems accessible would be highly advantageous.

💵 Compensation & Benefits

Salary Range:

For a Platform Product Designer (L5) in Bengaluru, India, with 6-8 years of experience in a specialized field like AI-native enterprise software, the estimated annual salary range is ₹25,00,000 - ₹35,00,000 (approximately $30,000 - $42,000 USD, depending on current exchange rates). This range accounts for the L5 seniority, the specialized nature of AI product design, and the cost of living in a major tech hub like Bengaluru.

Benefits:

• Comprehensive health insurance coverage (medical, dental, vision).

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

• Opportunities for professional development, including training, workshops, and conference attendance.

• Stock options or equity in a rapidly growing AI startup.

• Potential for performance-based bonuses.

• Relocation assistance may be available for candidates moving to Bengaluru.

• Access to cutting-edge technology and tools for design and development.

Working Hours:

The standard working hours are 40 hours per week, typically from Monday to Friday. While the role is on-site, there may be some flexibility within the standard workday to accommodate cross-time zone collaborations or personal needs, subject to team and management approval. Overtime may be required during critical project phases.

📝 Enhancement Note: The salary estimate is based on industry benchmarks for senior product designers in major Indian tech hubs, adjusted for the specialized AI/enterprise software domain and the "L5" seniority level. Benefits are typical for a well-funded tech startup in India, with an emphasis on growth and employee well-being.

🎯 Team & Company Context

🏢 Company Culture

Industry: Artificial Intelligence (AI), Enterprise Software, SaaS, Digital Transformation. JazzX AI operates at the intersection of cutting-edge AI research and practical enterprise application, aiming to revolutionize how businesses manage knowledge and decision-making. The company is building AI-native digital workers designed to capture expert judgment and ensure scalable, reliable execution in complex domains.

Company Size: Early-stage startup, likely between 50-200 employees, backed by SAIGroup, a substantial investment firm committed to scaling AI-powered enterprise software companies. This size suggests a dynamic, fast-paced environment with significant opportunities for impact and direct influence.

Founded: JazzX AI is an early-stage company, indicating a culture of innovation, rapid iteration, and a focus on building foundational products. Its backing by SAIGroup provides stability and access to extensive operational expertise and resources.

Team Structure:

• The Product Design team is likely small and highly integrated, working closely with Product Management, Engineering, and AI specialists.

• Designers will report into a Head of Product Design or a similar leadership role, with direct collaboration lines to Product Managers and Engineering Leads for specific product areas or features.

Methodology:

• Data-driven decision-making is core, utilizing user research, analytics, and performance metrics to guide product development and design iterations.

• Agile methodologies are likely employed for rapid development cycles, requiring designers to be adaptable and responsive to changing requirements.

• A strong emphasis on continuous improvement and learning, particularly in the rapidly evolving field of AI.

• Focus on building scalable, robust, and production-ready AI systems, not just prototypes or demos.

Company Website: https://jazzx.ai/

📝 Enhancement Note: The company culture is characterized by a strong vision for AI's future in enterprise, a commitment to solving hard, consequential problems, and an agile, fast-paced environment. The backing by SAIGroup signifies a robust financial foundation and a long-term perspective on growth and scaling.

📈 Career & Growth Analysis

Operations Career Level: This role is designated as "L5," typically representing a Senior Product Designer. This level implies a high degree of autonomy, the ability to lead design initiatives for significant product areas, and the expectation to drive strategic design decisions. Senior designers are often expected to mentor junior team members and contribute to the overall design strategy and process.

Reporting Structure: The Platform Product Designer will likely report to a Design Lead, Head of Product, or a Director of Product Design. They will work in close collaboration with Product Managers, Engineering Leads, and AI Scientists, forming a core product team for specific platform initiatives.

Operations Impact: The impact of this role is substantial. By translating complex AI capabilities into intuitive user experiences, the designer directly influences the adoption, effectiveness, and scalability of JazzX AI's platform. Their work will enable enterprises to harness institutional intelligence, improve decision-making, and achieve reliable execution at scale, directly contributing to the company's mission and market success.

Growth Opportunities:

• Specialization: Deepen expertise in designing for AI-native platforms, complex enterprise workflows, and specific industry verticals (e.g., lending, due diligence).

• Leadership: Progress to a Lead Product Designer or Design Manager role, overseeing a team, setting design direction, and contributing to hiring and team development.

• Strategic Influence: Play a key role in defining the product vision and strategy from a user experience perspective, influencing the roadmap and feature prioritization.

• Cross-functional Mastery: Develop advanced collaboration and communication skills, becoming a bridge between technical innovation and user needs.

• Industry Recognition: Contribute to building a category-defining product in the rapidly growing AI enterprise software space.

📝 Enhancement Note: The "L5" designation suggests a career path that moves beyond individual contribution to influence and potential leadership. The growth opportunities are tied to the company's mission in AGI and enterprise intelligence, offering a chance to shape a new category of software.

🌐 Work Environment

Office Type: This is an on-site role in Bengaluru, India, indicating a traditional office-based work environment. The office setting is likely to foster collaboration, spontaneous idea exchange, and a strong sense of team cohesion.

Office Location(s): Bengaluru, Karnataka, India. This location is a major technology hub in India, offering access to a vibrant ecosystem of talent and innovation.

Workspace Context:

• The workspace is expected to be collaborative, with open-plan areas and dedicated meeting rooms equipped for design reviews and brainstorming sessions.

• Access to modern design tools and technology, including high-performance workstations and relevant software licenses (e.g., Figma).

• Opportunities for direct interaction with engineering, product, and AI teams, facilitating rapid feedback loops and effective problem-solving.

• An environment conducive to focused work, punctuated by opportunities for team engagement and knowledge sharing.

Work Schedule: The standard work schedule is typically 40 hours per week, Monday through Friday. While the role is on-site, JazzX AI may offer some flexibility in daily start and end times, subject to business needs and team coordination, especially for collaborating with teams in different time zones.

📝 Enhancement Note: The on-site requirement in Bengaluru points to a company that values in-person collaboration, especially in its early stages. This environment is ideal for rapid iteration and building strong team dynamics essential for a fast-paced startup.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A brief call with a recruiter to assess basic qualifications, cultural fit, and interest in JazzX AI's mission.

• Hiring Manager Interview: Discussion with the hiring manager (likely a Design Lead or Head of Product) to delve deeper into experience, design philosophy, and alignment with the role's strategic demands.

• Portfolio Presentation & Deep Dive: A dedicated session where candidates present 1-2 key case studies from their portfolio. This includes discussing their process, decision-making, impact, and how they handled challenges. Expect detailed questions about their contributions and rationale.

• Cross-functional Interviews: Meetings with key stakeholders from Product, Engineering, and AI teams to assess collaboration skills, technical understanding, and ability to work within a complex domain.

• Design Challenge (Potential): A take-home assignment or a live design exercise focused on a specific problem relevant to the platform, or a critique of an existing design.

• Final Interview: Often with a senior leader or founder to discuss overall fit, long-term vision, and strategic alignment.

Portfolio Review Tips:

• Curate Selectively: Choose case studies that best demonstrate your end-to-end design process, problem-solving skills, and impact on complex B2B SaaS or platform products. Prioritize examples relevant to workflow design or simplifying technical systems.

• Tell a Story: Structure each case study as a narrative. Clearly define the problem, your approach, the user needs you addressed, your design rationale, and the measurable outcomes. Emphasize your specific contributions.

• Show, Don't Just Tell: Include visuals – wireframes, user flows, mockups, prototypes, and research insights – to support your narrative. Explain why you made specific design choices.

• Quantify Impact: Wherever possible, use data and metrics to demonstrate the success of your designs (e.g., improved conversion rates, reduced task completion time, increased user satisfaction).

• Address Complexity: Be prepared to discuss how you handle ambiguity and design for complex, multi-faceted systems, especially those involving AI or technical users.

• Highlight Collaboration: Showcase instances where you successfully collaborated with engineers, product managers, and other stakeholders.

Challenge Preparation:

• Understand the Domain: Familiarize yourself with JazzX AI's mission, product, and the AI/enterprise software space. Research common challenges in designing for AI-native platforms and enterprise workflows.

• Focus on Process: If given a challenge, articulate your thought process clearly. Demonstrate how you would approach understanding the problem, identifying user needs, ideating solutions, and iterating based on feedback.

• Design for Scalability & Usability: Consider how your proposed solutions would scale and remain usable for different user personas within an enterprise context.

• Presentation Skills: Practice presenting your work concisely and engagingly. Be ready to defend your design decisions and respond thoughtfully to feedback.

📝 Enhancement Note: The interview process emphasizes a deep dive into the candidate's practical design skills, problem-solving approach, and ability to collaborate within a technically sophisticated environment. The portfolio is crucial for demonstrating experience with complex systems and end-to-end ownership.

🛠 Tools & Technology Stack

Primary Tools:

• Figma: The primary tool for UI design, prototyping, and collaboration. Advanced proficiency in creating complex components, variants, auto-layout, and interactive prototypes is expected.

• Prototyping Tools: Beyond Figma's capabilities, experience with specialized prototyping tools (e.g., Principle, ProtoPie) might be beneficial for highly interactive concepts.

• User Research Platforms: Tools like UserTesting.com, Maze, Lookback, or internal tools for conducting remote usability tests and gathering feedback.

• Collaboration Tools: Slack for real-time communication, Jira/Confluence for project management and documentation, Miro/Mural for remote whiteboarding and brainstorming.

Analytics & Reporting:

• Product Analytics Tools: Familiarity with tools like Amplitude, Mixpanel, or Google Analytics for understanding user behavior, tracking feature adoption, and measuring key metrics.

• Data Visualization Tools: Experience with tools that can help visualize user data and design impact (e.g., Tableau, Looker) may be advantageous for understanding platform performance.

CRM & Automation:

• While not directly a designer's primary tool, understanding how CRM systems (like Salesforce) and automation platforms integrate with user-facing applications can provide valuable context for enterprise B2B SaaS design.

📝 Enhancement Note: Proficiency in Figma is explicitly required. The other tools listed represent common technologies used in product design and development teams, indicating the type of integrated environment the designer will operate within. Understanding the data flow and user journey across these systems is key.

👥 Team Culture & Values

Operations Values:

• Institutional Intelligence: A core value driving the creation of AI systems that capture and scale expertise, ensuring governed, self-improving, and reliable processes.

• Enterprise Scale & Reliability: Focus on building robust, production-ready solutions that can handle the complexity and demands of large enterprises, where errors are costly.

• Explainability & Governance: Emphasis on making AI-driven decisions transparent, auditable, and aligned with enterprise governance standards.

• Continuous Improvement: A commitment to iterative development, learning from real-world execution, and evolving systems over time.

• Collaboration & Ownership: Fostering a culture where teams work together closely, take responsibility for their contributions, and drive initiatives to completion.

Collaboration Style:

• Cross-functional Integration: Designers are expected to be deeply embedded within product teams, working hand-in-hand with engineers, product managers, and AI specialists to co-create solutions.

• Open Communication: Encouragement of direct, honest feedback and open dialogue to resolve challenges and refine designs.

• Data-Informed Design: A collaborative approach to leverage user research, analytics, and domain expertise to make informed design decisions.

• Agile & Iterative: Working in flexible, iterative cycles that allow for rapid feedback and adaptation, requiring designers to be responsive and adaptable.

📝 Enhancement Note: The values center around the company's unique vision for AI in enterprise. Designers are expected to embody these values by creating systems that are intelligent, reliable, explainable, and capable of continuous improvement, all while working collaboratively in a fast-paced environment.

⚡ Challenges & Growth Opportunities

Challenges:

• Designing for Abstraction: Translating highly abstract AI concepts and complex enterprise logic into intuitive and actionable user interfaces.

• Balancing Power and Simplicity: Creating experiences that are powerful and flexible enough for enterprise use cases while remaining simple and accessible for various user personas.

• Navigating Ambiguity: Working in an early-stage startup environment with evolving requirements and a rapidly developing product.

• Technical Complexity: Understanding and designing for sophisticated AI/ML systems and workflows that require a high degree of precision and correctness.

• Cross-functional Alignment: Ensuring seamless collaboration and shared understanding across diverse teams (Product, Engineering, AI, Solutions) with different priorities and technical backgrounds.

Learning & Development Opportunities:

• AI Product Design Specialization: Gain deep expertise in the emerging field of designing for AI-native enterprise platforms, a highly sought-after skill set.

• Mentorship: Opportunities to learn from experienced leaders in product, engineering, and AI within a well-backed startup.

• Industry Exposure: Work on problems that are at the forefront of enterprise AI transformation, offering a unique learning curve and exposure to cutting-edge technology.

• Professional Development: Potential for continuous learning through workshops, conferences, and access to resources focused on AI, UX, and enterprise software development.

• Career Progression: Clear pathways for advancement to senior leadership roles within the design organization or broader product teams.

📝 Enhancement Note: The challenges are inherent to working with cutting-edge AI technology in an enterprise context. The growth opportunities are significant, offering a chance to become a leader in a nascent but rapidly expanding field.

💡 Interview Preparation

Strategy Questions:

• "Describe a time you had to design for a highly technical or developer audience. How did you approach understanding their needs and translating complex functionality into an intuitive interface?" (Focus on understanding technical personas, workflow simplification, and your design process.)

• "Walk us through a complex workflow you designed. What were the key challenges, how did you simplify it, and what was the impact?" (Prepare a case study that highlights end-to-end ownership, problem-solving, and measurable results.)

• "How do you balance the need for flexibility and power in an enterprise application with the need for simplicity and ease of use for less technical users?" (Discuss your design philosophy, pattern libraries, and user segmentation strategies.)

Company & Culture Questions:

• "What interests you most about JazzX AI's mission to build 'AI-native digital workers' and 'institutional intelligence'?" (Show genuine interest and understanding of the company's vision.)

• "How do you see your role in contributing to a fast-paced, early-stage startup environment?" (Highlight adaptability, ownership, and a proactive mindset.)

Portfolio Presentation Strategy:

• Structure is Key: Start with a clear overview of the project, your role, and the core problem.

• Narrative Flow: Guide the interviewers through your design process logically, from research and ideation to iteration and final solution.

• Visual Aids: Use clear, high-quality visuals (wireframes, user flows, mockups, prototypes) to illustrate your points.

• Explain Your 'Why': For every significant design decision, explain the rationale behind it, linking it back to user needs, business goals, or technical constraints.

• Quantify Impact: Present any metrics or outcomes achieved as a result of your design work. If metrics aren't available, discuss how you would measure success.

• Be Prepared for Deep Dives: Anticipate detailed questions about specific UI elements, interaction patterns, and your decision-making process. Be honest about any challenges encountered and how you addressed them.

📝 Enhancement Note: Interview preparation should focus on demonstrating a strong grasp of complex systems, user-centered design principles applied to B2B SaaS/platforms, and effective collaboration within technical teams. The ability to articulate a methodical design process and showcase quantifiable impact is critical.

📌 Application Steps

To apply for this Platform Product Designer position:

• Submit your application through the JazzX AI careers portal via the provided Greenhouse link.

• Tailor Your Resume: Highlight experience relevant to B2B SaaS, complex platforms, AI/ML products, workflow design, and your years of experience (6-8+ years). Use keywords from the job description.

• Curate Your Portfolio: Select 2-3 of your strongest case studies that best showcase your end-to-end design process, problem-solving skills for complex systems, and impact. Ensure clear visuals and a narrative structure.

• Prepare Your Presentation: Practice walking through your portfolio case studies, focusing on your process, rationale, and outcomes. Be ready to discuss your contributions and handle detailed questions.

• Research JazzX AI: Understand their mission, vision, and the problem they are solving in the enterprise AI space. Prepare thoughtful questions about the product, team, and culture.

⚠️ 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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