Senior Product Designer - India

📍 Job Overview

Job Title: Senior Product Designer - Design Systems AI Lead

Company: DISCO

Location: Gurugram, Haryana, India

Job Type: Full-Time

Category: Product Design / Design Operations

Date Posted: 2026-06-04

Experience Level: Senior (5-10 years)

Remote Status: On-site

🚀 Role Summary

• Strategic architect and owner of the design system, ensuring product-wide consistency and scalability.

• Pioneer of AI-augmented workflows for accelerated design system development and implementation.

• Bridge between design craft, engineering collaboration, and AI-driven innovation within the product lifecycle.

• Champion for robust component libraries, clear system architecture, and efficient design-to-code synchronization.

• Contributes to product feature design with a systems-thinking approach, when team priorities align.

📝 Enhancement Note: This role is highly specialized, focusing on the strategic and technical leadership of a design system, with a significant emphasis on integrating AI into design workflows. It's not a typical product designer role but rather a hybrid of design systems leadership, technical design, and AI exploration within a product context. The "Operations" aspect comes from the systemic approach to design, ensuring efficiency, scalability, and consistency across the product.

📈 Primary Responsibilities

• Define and evolve the design system architecture, including component taxonomy, token structure, and governance models, ensuring alignment with engineering and long-term scalability.

• Design and develop production-ready components with comprehensive variant coverage, thoughtful API design, and a focus on accessibility, performance, and maintainability.

• Establish and maintain seamless connections between design and code through Code Connect mappings, design token pipelines, and automated synchronization processes.

• Pioneer and implement AI-augmented workflows for component generation, token organization, accessibility auditing, drift detection, and documentation enhancement.

• Create comprehensive, machine-readable documentation (semantic metadata, structured specs) to support designers, engineers, and AI workflows, driving system adoption through education.

• Collaborate closely with engineering to ensure accurate implementation of design vision, and with product designers to capture emergent patterns and balance local needs with global consistency.

• Apply systems thinking to anticipate the ripple effects of decisions across teams and product areas, consolidating patterns and reducing duplication for improved coherence.

• Maintain a high standard for visual quality, interaction polish, and technical precision, staying current with emerging technologies and experimenting with cutting-edge workflows.

• Contribute to product feature design when required, applying systems thinking and craft excellence to product initiatives while maintaining primary ownership of design system work.

📝 Enhancement Note: The responsibilities clearly outline a leadership role in design systems, with a unique emphasis on AI integration. This suggests a need for candidates who can not only design but also strategize, govern, and technically implement complex systems, leveraging future-forward technologies.

🎓 Skills & Qualifications

Education: A Bachelor's or Master's degree in Design, Human-Computer Interaction (HCI), Computer Science, or a related field is often preferred, though equivalent practical experience will be strongly considered.

Experience:

• 5-7+ years in product design, with a minimum of 2+ years dedicated to design systems, component libraries, or platform design.

• Proven track record of successfully building or scaling design systems utilized by multiple product teams.

• Experience in designing for complex, enterprise-level B2B applications with data-heavy interfaces is highly advantageous. Required Skills:

• Deep proficiency in Figma, including its advanced systems capabilities like components, variants, auto layout, and variables.

• Strong technical fluency in HTML/CSS, design tokens standards (e.g., W3C Design Tokens), Git, and component-based architecture principles (e.g., React, Web Components).

• Ability to read and understand code to facilitate effective collaboration with engineering teams.

• Demonstrated experience with design system governance, including contribution models, managing breaking changes, versioning strategies, and adoption patterns.

• Familiarity with AI in design workflows and a proactive approach to exploring emerging AI paradigms relevant to design systems.

• Excellent judgment in assessing when AI can amplify work versus when human oversight and evaluation are essential.

• Strong systems thinking capabilities to anticipate cross-team impacts and promote coherence.

• Craft excellence in visual design, interaction design, and attention to technical precision. Preferred Skills:

• Experience building design systems from the ground up or leading large-scale design system migrations.

• Experience developing custom AI workflows, skills, or agents, and structuring design systems for AI consumption.

• Proven ability to contribute effectively to product feature work without compromising primary design system priorities.

• Familiarity with advanced Figma features such as API integrations or plugins for system automation.

• Experience with accessibility auditing tools and integrating accessibility best practices into component design.

• Knowledge of design system documentation platforms and best practices for machine readability.

📝 Enhancement Note: The qualifications highlight a blend of deep design craft, strong technical understanding, and forward-thinking AI exploration. The emphasis on Figma, HTML/CSS, design tokens, and component architecture points towards a technically proficient designer. The "even better if you have" section suggests a preference for candidates who can handle complex B2B environments and have experience with foundational design system work or advanced AI implementation.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Demonstrates a clear progression from problem identification to solution implementation within design systems.

• Showcases specific case studies on building, scaling, or significantly improving a design system.

• Highlights expertise in Figma, including advanced component creation, variants, and proactive use of features like variables.

• Details the technical feasibility and implementation considerations for designed components, showing an understanding of HTML/CSS, and component-based architectures.

• Includes examples of design token implementation and strategy, illustrating how design decisions are translated into scalable, code-friendly values.

• Presents evidence of contribution to or understanding of design system governance, including how changes are managed and adopted. Process Documentation:

• Case studies should detail the process of defining system architecture, including taxonomy and governance models.

• Showcase the design and development process for complex UI components, emphasizing variant coverage and API design.

• Document the approach taken to bridge design and code, detailing methods used for synchronization and collaboration with engineering.

• Illustrate the exploration and implementation of AI in design workflows, providing examples of generated components, audited accessibility, or automated documentation.

• Provide examples of comprehensive documentation created for design systems, detailing usage guidelines and machine-readable formats.

📝 Enhancement Note: The portfolio requirements are critical for this role. Candidates must showcase their ability to not only design but also to architect, govern, and technically implement design systems. A strong emphasis on process, technical fluency, and evidence of AI exploration will be key differentiating factors.

💵 Compensation & Benefits

Salary Range: For a Senior Product Designer role in Gurugram, India, with specialized experience in design systems and AI, the estimated annual salary range would typically fall between ₹2,000,000 and ₹3,500,000 (approximately $24,000 - $42,000 USD, subject to exchange rates). This range accounts for the senior level, specialized skills, and the strategic nature of the role, as well as the cost of living and market benchmarks in Gurugram.

Benefits:

• Comprehensive medical and dental insurance coverage.

• Competitive salary package.

• Discretionary bonus opportunities, reflecting company and individual performance.

• Significant growth opportunities within a rapidly evolving startup environment.

• Opportunity to be a part of a company revolutionizing the legal industry with AI.

• Access to cutting-edge AI tools and technologies for professional development.

Working Hours: Standard working hours are expected to be around 40 hours per week. While the role is on-site, DISCO may offer some flexibility based on team needs and project deadlines, typical for a startup environment focused on innovation.

📝 Enhancement Note: The salary estimate is based on research of senior-level product design roles in Gurugram, India, with a premium for specialized design systems and AI expertise. Data from platforms like Glassdoor, LinkedIn Salary, and local recruitment agencies specializing in tech roles in India were considered. The benefits listed are directly from the provided text, with an added note about AI tool access based on the company's mission.

🎯 Team & Company Context

🏢 Company Culture

Industry: Legal Technology (Legal Tech), specifically focusing on AI-powered solutions for eDiscovery, legal document review, and case management. DISCO is at the forefront of modernizing the legal industry through technology.

Company Size: DISCO is a growing startup, suggesting a dynamic, fast-paced, and innovative work environment. The exact size isn't specified, but the mention of a startup revolutionizing an industry implies significant growth potential and a need for adaptable, proactive team members.

Founded: Founded in 2012, DISCO has a decade of experience in pioneering AI in the legal sector, indicating a mature yet agile organization with established expertise.

Team Structure:

• The Senior Product Designer will likely be part of a Product or Engineering team, with a strong emphasis on collaboration with other designers, engineers, and product managers.

• The role's primary ownership of the design system suggests a central, influential position within the product development hierarchy, potentially leading or mentoring junior designers or system specialists.

• Cross-functional collaboration is key, involving close partnerships with engineering for technical implementation, product management for strategic alignment, and potentially AI/ML teams for advanced workflow development. Methodology:

• Data-driven decision-making is paramount, especially given the AI focus and the need for measurable improvements in efficiency and quality.

• Agile methodologies are likely employed for product development, requiring flexibility and iterative design processes.

• A strong emphasis on systems thinking and process optimization is inherent to the design system's purpose.

• Proactive adoption and responsible use of AI tools are core to the company's operational philosophy.

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

📝 Enhancement Note: The company context highlights DISCO's position as an innovative leader in Legal Tech, leveraging AI. This suggests a culture that values forward-thinking, technical expertise, and a drive for continuous improvement. The Senior Product Designer role is central to enabling this innovation through a robust and evolving design system.

📈 Career & Growth Analysis

Operations Career Level: This role is positioned as a Senior-level individual contributor with significant strategic influence. It's a leadership role within the design function, specifically focusing on the foundational elements of product development (the design system) and future-forward technologies (AI). The scope extends beyond just design execution to system architecture, governance, and AI workflow innovation.

Reporting Structure: While not explicitly stated, this role would likely report to a Head of Design, Director of Product Design, or potentially a VP of Product. The close collaboration with engineering suggests a dotted line or strong partnership with engineering leadership.

Operations Impact: The impact of this role is profound. By owning the design system, the Senior Product Designer enables faster, more consistent, and higher-quality product development across all teams. The integration of AI directly contributes to DISCO's mission of revolutionizing the legal industry, driving efficiency for clients and internal teams alike. This role directly influences product velocity, user experience quality, and the adoption of cutting-edge technology.

Growth Opportunities:

• Specialization & Leadership: Deepen expertise in design systems, AI in design, and platform design, potentially leading a dedicated design systems team or platform initiative.

• Technical Acumen: Further develop skills in front-end technologies, AI/ML concepts, and system architecture, becoming a key technical design leader.

• Strategic Influence: Gain greater influence over product strategy and technology roadmaps, shaping the future of DISCO's product offerings through foundational design and AI integration.

• Cross-functional Expertise: Expand understanding of legal tech, enterprise B2B software, and AI implementation across various business functions.

• Mentorship: Guide and mentor other designers and engineers on design system best practices and AI-driven design workflows.

📝 Enhancement Note: This analysis focuses on the "operations" aspect of driving efficiency and scalability through systems, and the "growth" aspect for an operations-minded design professional. The role offers a unique path for those looking to blend deep design craft with technical leadership and AI innovation.

🌐 Work Environment

Office Type: The role is designated as "On-site," indicating a traditional office-based work environment. This suggests a collaborative atmosphere where in-person interaction is valued for team synergy and knowledge sharing.

Office Location(s): Gurugram, Haryana, India. This location is a major business hub, offering a vibrant professional environment and access to a large talent pool.

Workspace Context:

• Collaborative Environment: Expect a dynamic workspace conducive to team collaboration, brainstorming sessions, and cross-functional meetings. The on-site nature facilitates spontaneous discussions and relationship building.

• Tools & Technology: Access to industry-standard design tools (Figma), collaboration platforms, and potentially advanced AI tools that DISCO is pioneering. The environment likely supports experimentation with new technologies.

• Team Interaction: Frequent interaction with product designers, engineers, product managers, and potentially AI specialists, fostering a shared understanding and integrated approach to product development.

Work Schedule: The standard 40-hour work week is typical, but the startup environment and focus on innovation may encourage a degree of flexibility, especially around project deadlines or during periods of intensive AI experimentation. The on-site requirement means adherence to office hours is generally expected.

📝 Enhancement Note: The on-site requirement is a key differentiator. For a role focused on systemic design and AI, this implies a strong emphasis on in-person collaboration, knowledge transfer, and rapid iteration within a physical team setting.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A review of your resume and portfolio to assess alignment with the core requirements, particularly design systems experience and technical fluency.

• Hiring Manager Interview: Discussion focused on your experience with design systems, AI in design, your systems thinking approach, and your understanding of DISCO's mission. Be prepared to articulate your design philosophy and how you approach complex challenges.

• Portfolio Presentation & Technical Deep Dive: A session where you present specific case studies from your portfolio, detailing your process, technical skills (HTML/CSS, Figma systems), and any experience with AI workflows. Expect questions on design system architecture, governance, and design-code synchronization.

• Cross-Functional Interview(s): Meetings with engineers and product managers to assess your collaboration style, communication skills, and ability to work effectively in a team environment. Focus on how you've partnered with engineering to ensure successful implementation.

• Final Interview: Potentially with senior leadership, discussing your strategic vision for design systems at DISCO and your long-term career aspirations.

Portfolio Review Tips:

• Highlight Design Systems: Showcase 2-3 strong case studies specifically on design systems. Detail the problem, your process, the solutions you implemented, and the impact (e.g., adoption rates, efficiency gains, consistency improvements).

• Demonstrate Technical Fluency: Clearly articulate your understanding of HTML/CSS, component architecture, and design tokens. Show examples of how you've collaborated with engineers or considered implementation details in your designs.

• Showcase AI Exploration: If you have experience, include projects or concepts where you've leveraged AI in design workflows or explored AI-readable design systems. Explain your thought process and the outcomes.

• Focus on Systems Thinking: Emphasize how you approach problems systemically, considering scalability, governance, and cross-team impact.

• Visual Quality & Polish: Ensure your portfolio is well-designed, easy to navigate, and visually polished, reflecting your craft excellence.

Challenge Preparation:

• Design System Audit/Proposal: You might be asked to audit a small existing component library or propose improvements to a given design system scenario. Focus on structure, consistency, and potential AI integrations.

• Component Design Exercise: Design a complex component or a set of related components, considering variants, states, accessibility, and API design.

• System Governance Scenario: Discuss how you would handle a breaking change in a design system or implement a new contribution model.

📝 Enhancement Note: This detailed breakdown of the interview process and portfolio requirements is crucial for candidates. It emphasizes the need to demonstrate not just design skill but also strategic thinking, technical aptitude, and an understanding of systemic and AI-driven design.

🛠 Tools & Technology Stack

Primary Tools:

• Figma: The core design tool, with expectations for advanced proficiency in its systems capabilities (components, variants, auto layout, variables, prototyping, potentially plugins/APIs).

• Design Token Management Tools: Experience with or understanding of tools/processes for managing and distributing design tokens across platforms.

• Version Control Systems: Familiarity with Git for managing design assets and synchronization processes.

Analytics & Reporting:

• Analytics Platforms: While not directly a designer's tool, understanding how design system usage and impact are measured through analytics is beneficial.

• Documentation Platforms: Tools for creating and maintaining design system documentation (e.g., Zeroheight, Storybook integration, Confluence, Notion).

CRM & Automation:

• Not directly applicable to this role's primary function, but understanding how design system components integrate into the broader product development workflow is important.

• AI/ML Platforms: Familiarity with or ability to integrate with AI tools and platforms that DISCO is leveraging for design system enhancement.

Other Relevant Technologies:

• HTML/CSS: Fundamental for understanding front-end implementation.

• Web Components: Knowledge of this standard for building reusable components.

• React: Familiarity with this popular JavaScript library for building user interfaces, as components often need to align with React implementations.

• Code Connect / Design-Code Synchronization Tools: Experience with or understanding of tools that facilitate seamless translation between design and code.

📝 Enhancement Note: This section highlights the specific technical tools and technologies expected. The emphasis on Figma, design tokens, Git, and a foundational understanding of front-end development (HTML/CSS, React, Web Components) is critical. The inclusion of AI/ML platforms and Design-Code synchronization tools underscores the innovative nature of the role.

👥 Team Culture & Values

Operations Values:

• Efficiency & Scalability: A core value is creating systems that enable teams to work faster and more consistently, reducing duplicated effort and ensuring product coherence.

• Data-Driven Decisions: Leveraging data to inform design system evolution, measure adoption, and justify system architecture choices.

• Collaboration & Transparency: Working openly with engineering, product, and other designers, fostering a culture of shared ownership and constructive feedback.

• Innovation & AI Adoption: Embracing new technologies, particularly AI, to push the boundaries of design and product development processes.

• Craft Excellence: Maintaining a high standard for quality in both design execution and system architecture.

Collaboration Style:

• Cross-Functional Integration: Actively partnering with engineering to ensure design intent is accurately translated into code, and with product managers to align system development with business goals.

• Systemic Approach: Encouraging a mindset where design decisions are considered within the broader product ecosystem, promoting reusable patterns and a unified user experience.

• Knowledge Sharing: Proactively documenting best practices, providing training, and creating resources to help teams effectively adopt and contribute to the design system.

• Feedback Loop: Establishing mechanisms for continuous feedback from design and engineering teams to ensure the design system remains relevant, useful, and evolving.

📝 Enhancement Note: These values and collaboration styles are inferred from the job description's emphasis on systems thinking, AI, cross-functional collaboration, and DISCO's mission. They paint a picture of a team that is technically adept, innovative, and focused on collective success.

⚡ Challenges & Growth Opportunities

Challenges:

• Balancing System Needs with Feature Velocity: Ensuring the design system evolves to support new product features without becoming a bottleneck for development teams.

• Driving Adoption: Overcoming resistance or inertia from teams to adopt new system components or patterns, requiring strong communication and education.

• Integrating AI Effectively: Identifying practical, scalable, and responsible ways to leverage AI in design system workflows, moving beyond experimental phases.

• Technical Debt Management: Proactively managing and mitigating technical debt within the design system and its integrations with product code.

• Cross-Team Alignment: Maintaining consistency and coherence across a potentially diverse set of product teams, each with unique needs and priorities.

Learning & Development Opportunities:

• AI in Design Specialization: Deepen expertise in AI-driven design tools, AI-readable design systems, and generative AI for component creation.

• Platform Design Leadership: Develop skills in architecting and scaling complex design systems for enterprise-level applications.

• Advanced Technical Skills: Further hone skills in front-end development, design token ecosystems, and integration technologies.

• Strategic Product Influence: Grow into a role with greater strategic input on product roadmaps and technology adoption.

• Mentorship & Team Building: Opportunity to mentor junior designers and potentially help build out a dedicated design systems function.

📝 Enhancement Note: Identifying potential challenges helps candidates prepare for the realities of the role. The growth opportunities highlight the unique path this position offers for professionals interested in the intersection of design systems, AI, and technical leadership.

💡 Interview Preparation

Strategy Questions:

• "How would you approach defining the initial architecture for a new design system at DISCO, considering our AI-first approach and B2B enterprise focus?" (Focus on taxonomy, token structure, and AI integration.)

• "Describe a time you had to drive adoption of a new design system component or pattern across multiple teams. What were the challenges, and how did you overcome them?" (Emphasize communication, education, and collaboration.)

• "Given the rapid advancements in AI, how do you foresee AI impacting the future of design systems? What are the opportunities and risks you identify?" (Showcase forward-thinking and critical judgment.) Company & Culture Questions:

• "How do you see your role in supporting DISCO's mission to revolutionize the legal industry with AI through design systems?" (Connect your work to the company's vision.)

• "How would you collaborate with our engineering teams to ensure seamless design-to-code synchronization, particularly with emerging AI workflows?" (Highlight your technical collaboration skills.)

• "What is your philosophy on design system governance, and how would you implement it at DISCO to balance consistency with team autonomy?" (Demonstrate strategic thinking on process and collaboration.) Portfolio Presentation Strategy:

• Structure Your Case Studies: For each design system case study, clearly outline the problem, your systematic approach, the solutions (components, tokens, architecture), the AI integrations (if any), the technical considerations, and the measurable impact.

• Show, Don't Just Tell: Use visuals of components, tokens, workflows, and documentation. Demonstrate Figma proficiency and any AI tools you've used.

• Quantify Impact: Wherever possible, use metrics to demonstrate the value of your work (e.g., reduction in design/dev time, increase in adoption, improvement in consistency scores).

• Highlight AI Exploration: If you have AI examples, walk through the process and the insights gained, even if it was an experimental phase. Discuss your judgment on AI's role.

• Be Prepared for Technical Questions: Anticipate detailed questions about HTML/CSS, component APIs, design tokens, and Git.

📝 Enhancement Note: These interview questions are tailored to the specific requirements of the Senior Product Designer role at DISCO, focusing on design systems, AI, and the B2B legal tech context. The portfolio presentation strategy provides actionable advice for candidates to effectively showcase their qualifications.

📌 Application Steps

To apply for this Senior Product Designer position:

• Submit your application through the provided link on the DISCO careers page.

• Curate Your Portfolio: Select 2-3 of your strongest design system case studies that best demonstrate your experience with system architecture, component design, technical integration, and AI exploration. Ensure these showcase your Figma proficiency and any technical fluency you possess.

• Optimize Your Resume: Tailor your resume to highlight keywords from the job description, such as "Design Systems," "Figma," "HTML/CSS," "Design Tokens," "AI Workflows," "System Architecture," and "B2B Product Design." Quantify achievements wherever possible.

• Prepare Your Presentation: Practice walking through your portfolio case studies, focusing on articulating your systematic approach, the challenges you faced, the solutions you implemented, and the measurable impact. Be ready to discuss your technical understanding and your perspective on AI in design.

• Research DISCO: Understand DISCO's mission, its AI-first approach in the legal tech industry, and the types of complex B2B applications they build. This will help you tailor your responses and demonstrate genuine interest and alignment.

⚠️ 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. This role is highly specialized and requires a unique blend of design systems leadership, technical expertise, and AI exploration.