Platform Product Designer
š Job Overview
Job Title: Platform Product Designer
Company: JazzX AI
Location: Bengaluru, Karnataka, India
Job Type: Full-time
Category: Product Design / UX/UI Design (with a strong emphasis on systems and platform design)
Date Posted: 2026-09-11T07:21:50
Experience Level: 10+ years
Remote Status: On-site
š Role Summary
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Own the end-to-end user experience (UX) and systems design for JazzX AI's AI-native enterprise platform, focusing on complex capabilities, orchestration, and explainability.
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Define interaction models and reusable UX patterns for AI workflows, ensuring composability, scalability, and usability for technical users and domain experts.
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Lead design initiatives that translate product strategy into durable, reusable systems, balancing flexibility, correctness, and user needs.
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Drive the integration of AI quality, evaluation, and debugging experiences directly into core builder workflows.
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Champion builder productivity and adoption by identifying and eliminating systemic friction across the platform.
š Enhancement Note: This role is positioned as a senior-level Platform Product Designer, focusing on the foundational architecture and user experience of an AI platform. The emphasis is on "systems-level design" and "institutional intelligence," indicating a need for a designer who can think holistically about complex, interconnected workflows and their user interfaces, rather than just isolated features. The "AI-native" and "AGI era" context suggests a forward-looking role requiring an understanding of emerging AI capabilities and their practical application in enterprise settings.
š Primary Responsibilities
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Own the end-to-end UX across major platform capability areas, including AI workflows, orchestration, debugging, and explainability.
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Define interaction models and user flows for complex systems, ensuring seamless integration of platform primitives.
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Design how reusable components (e.g., AI models, logic modules) are discovered, configured, versioned, and composed into larger solutions.
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Develop workflows for adapting and customizing reusable assets, turning repeated solution patterns into scalable UX abstractions.
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Integrate AI quality assurance, evaluation frameworks, and debugging tools directly into core builder workflows, moving beyond basic logging to comparative analysis and insights.
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Design intuitive experiences for configuring domain logic, reasoning systems, and knowledge assets, fostering collaboration between technical users and domain experts.
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Lead rapid prototyping, user research, and validation efforts to de-risk complex design decisions and iterate on concepts.
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Advocate for builder productivity and clarity across all platform workflows, identifying and mitigating systemic friction points.
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Collaborate closely with Product Management and Engineering to drive UX strategy and influence product direction.
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Mentor junior designers, elevate the overall design quality, and foster a strong design culture within the organization.
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Bring structure and clarity to ambiguous problem spaces, defining clear UX strategies and roadmaps.
š Enhancement Note: The responsibilities highlight a deep dive into the "builder experience" for an AI platform. This implies designing for users who will be configuring, customizing, and deploying AI workflows, not just end-users of AI-powered applications. The emphasis on "reuse," "composition," and "versioning" points towards a need for experience in designing modular systems and their user interfaces.
š Skills & Qualifications
Education: While no specific degree is mandated, a strong educational foundation in Human-Computer Interaction (HCI), Design, Computer Science, or a related field is implied by the experience and skill requirements.
Experience: 10+ years of progressive experience in UX/UI design, with a significant focus on complex platforms, developer tools, or enterprise SaaS environments. Proven experience in designing and scaling products from 0 to 1 is essential.
Required Skills:
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Deep expertise in interaction design, systems thinking, and information architecture for complex digital products.
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Proven ability to design highly complex, multi-layered workflows and user interfaces.
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Strong portfolio showcasing systems thinking, product impact, and the design of enterprise-grade platforms or developer tools.
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Advanced proficiency in design and prototyping tools, specifically Figma.
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Demonstrated experience in translating sophisticated AI/ML capabilities and technical concepts into usable and intuitive user experiences.
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Experience in building, scaling, and maintaining robust design systems.
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Strong ability to lead user research initiatives, synthesize insights, and incorporate them into actionable design decisions.
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Excellent understanding of technical user personas and their needs within a platform context.
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Proven ability to influence product strategy and direction through design thinking and user advocacy. Preferred Skills:
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Experience designing AI/ML or agent-based systems.
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Familiarity with workflow automation tools, Business Process Management (BPM) tools, or similar developer platforms.
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Experience with multi-tenant enterprise systems and their unique design considerations.
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Experience in outcome-driven design, with a focus on measurable improvements in builder productivity, quality, and adoption.
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Ability to articulate and evangelize design strategies to cross-functional teams and stakeholders.
š Enhancement Note: The requirement for "10+ years of experience" and a portfolio demonstrating "systems thinking and product impact" positions this as a senior, lead-level design role. The emphasis on "developer tools" and "enterprise SaaS" indicates a need for experience designing for professional users with technical understanding, rather than general consumers. The mention of "AI/ML or agent-based systems" suggests a strong preference for candidates with direct experience in this domain.
š Process & Systems Portfolio Requirements
Portfolio Essentials:
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Showcase at least two significant projects demonstrating complex platform or enterprise SaaS design, with a clear emphasis on systems thinking and end-to-end UX ownership.
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Include detailed case studies that articulate the problem space, your design process, key challenges, and the impact of your solutions on user productivity, efficiency, or system adoption.
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Highlight examples of how you've designed for composability, reusability, and scalability within a system.
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Provide evidence of your ability to translate intricate technical concepts (e.g., AI workflows, data pipelines) into clear and usable interfaces.
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Demonstrate experience in designing for technical user personas and their specific workflows. Process Documentation:
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Be prepared to discuss your design process for complex systems, including how you approach ambiguity, conduct research, iterate on designs, and collaborate with engineering and product teams.
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Examples of how you've documented system interactions, defined UX patterns for a platform, or contributed to a design system's evolution are highly valued.
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Showcase how you've used data, user research, and metrics to inform and validate design decisions for platform features.
š Enhancement Note: For a Platform Product Designer role, the portfolio is crucial for demonstrating not just visual design skills, but strategic thinking, systems comprehension, and the ability to manage complexity. The emphasis should be on the process of designing scalable and reusable systems, not just the final output. Expect to articulate how your designs address the specific needs of "builders" and contribute to "institutional intelligence."
šµ Compensation & Benefits
Salary Range: For a Platform Product Designer with 10+ years of experience in Bengaluru, India, a competitive salary range would typically fall between ā¹3,000,000 to ā¹5,000,000 per annum, depending on the candidate's specific experience, the company's funding stage, and the precise scope of responsibilities. This estimate is based on industry benchmarks for senior design roles in major tech hubs in India, considering the specialized nature of AI platform design.
Benefits:
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Competitive salary and potential for equity/stock options, reflecting the early-stage nature of JazzX AI and its backing by SAIGroup.
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Comprehensive health insurance coverage for employees and their dependents.
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Opportunities for professional development, including access to conferences, training, and workshops related to AI, design, and enterprise software.
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Paid time off (PTO), including vacation days, sick leave, and public holidays.
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Potential for performance-based bonuses.
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Exposure to cutting-edge AI technology and the opportunity to shape a foundational platform.
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Collaborative work environment with experienced professionals from AI and enterprise software backgrounds.
Working Hours: The standard working hours are expected to be around 40 hours per week, aligning with typical full-time employment in India. However, given the nature of a fast-paced startup environment and the demand for senior talent, flexibility and a willingness to put in extra effort during critical project phases may be expected.
š Enhancement Note: The salary range is an estimate for a senior-level design role in Bengaluru, India. It considers the company's AI focus and backing by a significant investment firm (SAIGroup), suggesting it can afford competitive compensation. The specific benefits may vary, but typical startup packages include equity, comprehensive health, and professional development opportunities.
šÆ Team & Company Context
š¢ Company Culture
Industry: Artificial Intelligence (AI), Enterprise Software, Fintech (specifically in lending and due diligence workflows). JazzX AI is building AI-native digital workers to create "institutional intelligence" for enterprises.
Company Size: As an early-stage company backed by SAIGroup, JazzX AI is likely a small to medium-sized organization, potentially in the range of 50-200 employees, with plans for rapid growth. SAIGroup itself is a large private investment firm with a significant portfolio.
Founded: JazzX AI is a relatively new venture, focusing on building a category-defining AI platform. Its establishment is driven by SAIGroup's strategic investment in AI-powered enterprise software.
Team Structure:
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The design team, while potentially small, is expected to be highly collaborative, working closely with Product Management and Engineering.
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Designers will likely report into a Head of Design or a senior design lead, contributing to the overall product strategy.
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Close collaboration with AI/ML engineers, software engineers, and product managers is fundamental to translating complex AI capabilities into user-friendly platform experiences.
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The "Platform Product Designer" role implies a focus on core platform architecture and systems, requiring interaction with teams building foundational AI components and workflow orchestration. Methodology:
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Data-Driven Design: Emphasis on using user research, analytics, and A/B testing to inform design decisions and measure impact.
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Systems Thinking: A core methodology for designing interconnected AI workflows and ensuring scalability.
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Agile Development: Likely employing agile methodologies for rapid iteration and development cycles.
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Outcome-Oriented: Focus on delivering tangible business value and measurable improvements in builder productivity and system adoption.
Company Website: https://jazzx.ai
š Enhancement Note: The company context emphasizes JazzX AI's mission to build foundational AI for enterprises, moving beyond demos to production-ready systems. The backing by SAIGroup provides a strong foundation for growth and access to resources, suggesting a serious, long-term vision. The culture is likely to be fast-paced, innovative, and focused on solving complex, real-world problems.
š Career & Growth Analysis
Operations Career Level: This role is at a senior to lead level within the Product Design discipline, specifically focusing on platform and systems design. It requires not just execution but also strategic input, influencing product direction, and potentially mentoring others. The scope is broad, encompassing the entire user experience of a complex AI platform.
Reporting Structure: The Platform Product Designer will likely report to a Head of Design or a Director of Product Design. They will work in close collaboration with Product Managers and Engineering Leads, forming a core product development triad.
Operations Impact: The impact of this role is significant, as the designer will shape the foundational user experience of JazzX AI's platform. This directly influences how effectively enterprises can leverage AI for "institutional intelligence," impacting decision-making, efficiency, and scalability. Success in this role means enabling users to build and deploy complex AI solutions with confidence and ease, driving adoption and ultimately revenue for JazzX AI's offerings.
Growth Opportunities:
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Leadership: Potential to grow into a Design Lead or Manager role, overseeing specific product areas or a team of designers.
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Specialization: Deepen expertise in AI/ML UX, platform design, or developer experience, becoming a go-to expert in these critical areas.
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Strategic Influence: Increase influence on product strategy and roadmap through demonstrated design leadership and user insight.
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Mentorship: Opportunity to mentor junior designers and contribute to building a strong design practice within a growing AI company.
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Domain Expertise: Develop deep understanding and expertise in enterprise workflows, particularly in finance and lending, through close collaboration with domain experts.
š Enhancement Note: The role offers substantial growth potential for designers who excel in complex systems and platform design. The opportunity to shape a foundational product in the AI space, coupled with a supportive investment firm, provides a strong runway for career advancement and specialization.
š Work Environment
Office Type: The role is designated as "On-site," implying a commitment to working from the company's office in Bengaluru. This suggests a preference for in-person collaboration, team synergy, and a structured work environment.
Office Location(s): Bengaluru, Karnataka, India. This is a major technology hub in India, offering access to a vibrant ecosystem of talent and innovation.
Workspace Context:
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Collaborative Environment: Expect a dynamic workspace designed to foster collaboration between design, product, and engineering teams. This likely includes shared spaces, meeting rooms, and informal collaboration zones.
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Tools & Technology: Access to industry-standard design tools (e.g., Figma), prototyping software, and potentially specialized AI development tools or environments.
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Team Interaction: Regular opportunities for design critiques, brainstorming sessions, and cross-functional team meetings to ensure alignment and drive product development forward.
Work Schedule: While the standard workweek is likely 40 hours, the emphasis on an early-stage, high-impact environment may necessitate flexibility. The focus will be on delivering results and meeting project milestones, which could involve occasional extended hours.
š Enhancement Note: The on-site requirement in Bengaluru indicates a company that values in-person collaboration and team cohesion, common in fast-paced, early-stage tech companies. This environment is conducive to rapid iteration and direct knowledge transfer between teams.
š Application & Portfolio Review Process
Interview Process:
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Initial Screening: A recruiter or hiring manager will likely review your application and portfolio to assess basic qualifications and alignment with the role.
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Portfolio Review & Design Deep Dive: Expect a session dedicated to walking through your portfolio. You'll be asked to present specific case studies, explaining your thought process, design decisions, challenges, and outcomes, with a strong focus on systems design and platform thinking.
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Systems Design Challenge: You may be given a take-home assignment or an in-interview exercise to design a complex workflow or system component, testing your ability to apply systems thinking and translate requirements into design solutions.
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Cross-functional Interviews: Interviews with Product Managers and Engineering Leads to assess your collaboration style, technical understanding, and ability to integrate design into the development lifecycle.
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Behavioral & Cultural Fit Interview: Questions designed to evaluate your problem-solving approach, ownership, leadership potential, and alignment with JazzX AI's values and culture.
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Final Round: Potentially with senior leadership or founders to discuss strategic alignment and overall fit.
Portfolio Review Tips:
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Prioritize Systems Thinking: Select projects that clearly demonstrate your ability to design complex, interconnected systems rather than standalone features.
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Showcase the Process: Detail your research, ideation, iteration, and validation steps. Explain why you made certain design decisions.
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Quantify Impact: Whenever possible, use metrics to demonstrate the success of your designs (e.g., improved builder productivity, reduced error rates, increased adoption).
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Tailor to the Role: Emphasize projects related to enterprise SaaS, developer tools, AI/ML interfaces, or complex workflow design.
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Be Prepared to Discuss: Understand the nuances of designing for AI, explainability, and orchestrating complex processes.
Challenge Preparation:
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Understand the Problem: For any design challenge, thoroughly analyze the requirements and constraints. Ask clarifying questions.
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Focus on the "How": Demonstrate your process for breaking down complex problems into manageable parts.
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Consider the User: Always articulate the needs and pain points of the target user (in this case, likely technical users building AI workflows).
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Propose Scalable Solutions: Think about how your design can scale and adapt to future needs.
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Present Clearly: Structure your presentation logically, using visuals effectively to communicate your ideas.
š Enhancement Note: The interview process for a senior role like this will be rigorous, heavily focused on assessing strategic thinking, systems design capabilities, and hands-on problem-solving. A well-curated portfolio that highlights relevant experience is paramount.
š Tools & Technology Stack
Primary Tools:
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Figma: Expected to be the primary tool for UI design, wireframing, prototyping, and collaboration. Advanced proficiency is a must.
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Prototyping Tools: Beyond Figma's capabilities, familiarity with tools like Principle, ProtoPie, or similar for creating high-fidelity interactive prototypes.
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Design Systems Tools: Experience with tools or methodologies for building and managing design systems (e.g., Storybook integration, component libraries).
Analytics & Reporting:
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While not a direct responsibility, familiarity with how design decisions impact analytics and reporting is beneficial. Understanding how to design for trackable user actions and key performance indicators (KPIs) is important.
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Experience with tools like Amplitude, Mixpanel, or Google Analytics can provide context for user behavior analysis. CRM & Automation:
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Not directly applicable to the core design role, but understanding how platform features might integrate with or impact enterprise CRM or automation systems could be a plus.
š Enhancement Note: Proficiency in Figma is explicitly stated as a requirement. For a platform design role, familiarity with how designs translate into coded components and contribute to a scalable design system is also crucial.
š„ Team Culture & Values
Operations Values:
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Outcome-Driven: A strong focus on delivering tangible results, measuring impact, and ensuring designs contribute to business objectives.
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Ownership & Leadership: Taking initiative, driving projects forward with a strong sense of responsibility, especially in ambiguous environments.
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Clarity & Craft: Maintaining a high bar for design quality, usability, and clear communication in all outputs.
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Collaboration: Working effectively with cross-functional teams, valuing diverse perspectives, and fostering a team-oriented approach.
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Innovation: Embracing new technologies and methodologies, particularly in the AI space, to build cutting-edge solutions.
Collaboration Style:
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Cross-functional Integration: Seamless collaboration with Product Managers and Engineers is essential. This involves shared understanding of goals, iterative feedback loops, and joint problem-solving.
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User-Centricity: A shared commitment to understanding and serving the needs of the platform's users, informed by research and data.
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Open Communication: Encouraging open dialogue, constructive feedback, and transparency across teams.
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Influence through Insight: Using data, research, and design thinking to effectively influence product decisions and strategy.
š Enhancement Note: The company culture emphasizes building foundational AI systems with a practical, outcome-driven approach. Designers are expected to be proactive, collaborative, and hold a high standard for their work, contributing to a culture of innovation and excellence.
ā” Challenges & Growth Opportunities
Challenges:
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Designing for Complexity: Translating sophisticated AI/ML capabilities, orchestration, and explainability features into intuitive user experiences for technical users.
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Balancing Flexibility and Usability: Creating a platform that is both highly flexible for advanced customization and easy to use for a range of technical skill levels.
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Defining Novel Interactions: Establishing clear interaction models for emerging AI-driven workflows where established patterns may not exist.
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Scaling Design Systems: Ensuring design systems and patterns can effectively support a rapidly evolving and complex AI platform.
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Bridging Technical and Domain Expertise: Facilitating effective collaboration and communication between highly technical users and domain experts within the platform's design.
Learning & Development Opportunities:
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Deep AI/ML UX Expertise: Gaining specialized knowledge in designing for AI systems, including explainability, debugging, and quality evaluation.
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Platform Architecture Design: Developing a strong understanding of how to design scalable, composable, and reusable platform components.
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Industry Influence: Contributing to the definition of UX best practices for AI-native enterprise platforms.
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Leadership and Mentorship: Opportunities to grow into leadership roles and mentor other designers.
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Exposure to AGI Concepts: Working at the forefront of AI development, understanding and designing for future AGI capabilities.
š Enhancement Note: The primary challenges revolve around the inherent complexity of designing for advanced AI platforms and the need to pioneer new interaction paradigms. These challenges also present significant growth opportunities for specialized skill development.
š” Interview Preparation
Strategy Questions:
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"Describe a time you designed a complex platform or developer tool. What were the key systems-level challenges, and how did you address them?" (Focus on systems thinking, reusability, and scalability).
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"How would you approach designing an interface for debugging AI models, considering aspects like explainability, comparisons, and signals?" (Demonstrate understanding of AI UX and debugging workflows).
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"Walk me through your process for creating and scaling a design system. What are the critical components for a platform like ours?" (Highlight design system expertise and its application to complex platforms).
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"How do you balance the need for flexibility in a powerful platform with the requirement for a clear and intuitive user experience for builders?" (Address trade-offs and user-centric design). Company & Culture Questions:
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"What excites you about JazzX AI's vision of 'institutional intelligence' and AI-native digital workers?" (Show genuine interest and understanding of the company's mission).
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"How do you foster collaboration between design, engineering, and product management, especially in an ambiguous, early-stage environment?" (Highlight teamwork and communication skills).
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"Describe your experience working on '0 to 1' products or scaling existing ones. What are the unique design considerations?" (Demonstrate adaptability and growth mindset). Portfolio Presentation Strategy:
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Structure for Impact: Begin with an overview of JazzX AI and the role. Then, present 2-3 key projects that best showcase your platform design, systems thinking, and AI/technical UX experience.
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Tell a Story: For each project, clearly articulate the problem, your role, your process (research, ideation, iteration), key design decisions and rationale, and the measurable outcomes or impact.
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Highlight Systems Thinking: Explicitly point out how your designs created reusable components, addressed complex interactions, or contributed to a scalable system architecture.
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Demonstrate Technical Acumen: Be prepared to discuss the technical feasibility of your designs and how you collaborated with engineers.
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Engage and Ask Questions: Leave time for Q&A and ask insightful questions about the team, their challenges, and the product roadmap.
š Enhancement Note: Preparation should focus on articulating your thought process for complex systems, demonstrating how you translate technical requirements into user-centric designs, and showcasing your ability to drive product strategy through design leadership.
š Application Steps
To apply for this Platform Product Designer position:
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Submit your application through the provided link on Greenhouse.
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Curate Your Portfolio: Select 2-3 of your strongest projects that specifically highlight complex platform design, systems thinking, and experience with technical or AI-related user experiences. Ensure each case study clearly articulates the problem, your process, your contributions, and the impact.
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Optimize Your Resume: Tailor your resume to emphasize your 10+ years of experience in UX/UI design, platform design, enterprise SaaS, and any relevant AI/ML or developer tool experience. Quantify achievements where possible.
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Prepare for a Deep Dive: Be ready to present your portfolio in detail, articulating your design rationale, problem-solving approach, and experience with systems design and collaboration.
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Research JazzX AI and SAIGroup: Understand their mission, vision, and the market they operate in. Consider how your design philosophy aligns with their goals of building "institutional intelligence" and "AI-native digital workers."
ā ļø Important Notice: This enhanced job description includes AI-generated insights and operations industry-standard assumptions. All details should be verified directly with the hiring organization before making application decisions.
Application Requirements
The role requires 10+ years of experience in UX/UI design with a strong portfolio in complex platforms or enterprise SaaS. Candidates must possess deep expertise in systems thinking, advanced proficiency in Figma, and the ability to translate complex AI/ML capabilities into intuitive user experiences.