Senior Product Designer, Design Systems

📍 Job Overview

Job Title: Senior Product Designer, Design Systems

Company: Netflix

Location: Warsaw, Masovian Voivodeship, Poland

Job Type: FULL_TIME

Category: Design Systems / Product Design / Engineering

Date Posted: 2026-06-03

Experience Level: Senior (5-8+ years)

Remote Status: On-site

🚀 Role Summary

• Spearhead the strategic evolution of the Hawkins Design System, integrating cutting-edge generative AI capabilities to enhance UI generation and ensure unwavering UX consistency for Netflix's internal enterprise tools.

• Act as a pivotal technical leader, bridging the gap between design logic, system architecture, tooling, and advanced AI functionalities to drive scalable and coherent user experiences.

• Define and maintain machine-readable system knowledge, including component documentation, usage rules, accessibility standards, design tokens, and established patterns, ensuring production readiness in close collaboration with design and engineering teams.

• Partner closely with engineering to translate high-level design guidance into explicit, structured logic (rules, decision trees, contracts) that AI agents and tooling can safely consume for UI and code generation.

📝 Enhancement Note: This role is highly specialized and sits at the intersection of Design Systems, Product Design, and Engineering, with a significant emphasis on AI integration. The "Senior Product Designer" title may be misleading if one expects a purely visual design role; this position requires deep technical understanding and architectural thinking for design systems, particularly in the context of AI-driven UI generation.

📈 Primary Responsibilities

• Lead the charge in ensuring all design system components meet rigorous Hawkins quality standards, encompassing accessibility, motion, theming, and scalability for enterprise-level adoption.

• Take ownership of comprehensive, machine-readable system knowledge, including detailed component documentation, clear usage rules, accessibility guidelines, design tokens, and established patterns, ensuring this knowledge base is consistently updated and production-ready in partnership with design and engineering.

• Collaborate closely with engineering teams to translate abstract design concepts and high-level guidance into explicit, structured logic (e.g., rules, decision trees, contracts) that AI agents and tools can reliably consume to generate UI and usable code.

• Define, meticulously document, and continuously evolve the design system’s core primitives, such as layout, interaction models, and accessibility standards, alongside component APIs, to ensure implementations are consistently testable, maintainable, and easily adoptable by product teams.

• Actively partner on the design and ongoing maintenance of AI-assisted design tooling, including agents, copilots, and MCP integrations, to recommend components, generate system-compliant layouts and tokens, and automate design quality assurance within Figma and related design environments.

• Collaborate with engineers to build and seamlessly integrate automated refactoring, migration, and system-aware copilot tools directly into developer workflows (e.g., CI/CD pipelines, code review processes, IDEs) to ensure system changes propagate with minimal disruption.

• Develop robust design testing frameworks and guardrails to guarantee that both human- and AI-generated usage of the design system remains accessible, performant, and on-brand across all relevant domains.

• Expose the design system effectively through well-defined component APIs, schemas, and LLM-optimized knowledge bases (including metadata, examples, and component “recipes”) to enable AI and product teams to reliably discover and apply system capabilities.

• Continuously monitor the health of the design system, tracking adoption rates, divergence, duplication, defects, and migration efforts, including an analysis of AI usage patterns, and drive iterative improvements based on these critical signals.

• Champion system thinking and AI-driven scalability across the entire organization, aligning design, engineering, and AI strategies, while proactively staying current with emerging generative AI practices and their application in product development.

• Operate effectively at the crucial intersection of engineering and design, adeptly integrating aesthetic, functional, and technical considerations into cohesive and impactful solutions.

📝 Enhancement Note: The responsibilities highlight a strong focus on technical implementation and AI integration within a design system context. This role demands not just design expertise but also a deep understanding of software development principles and the ability to bridge the gap between design and code, particularly with AI agents.

🎓 Skills & Qualifications

Education: While no specific degree is mandated, a strong academic foundation or equivalent practical experience in Computer Science, Design, Human-Computer Interaction, or a related field is expected. The emphasis will be on demonstrated proficiency and experience.

Experience: 5-8+ years of progressive experience in system design, with a proven and demonstrable track record of successfully delivering impactful design system solutions at scale within complex organizations.

Required Skills:

• System Design Expertise: A minimum of 5-8 years in designing and implementing scalable design systems.

• Systems Thinking: Deep conceptual understanding and practical application of systems thinking to balance high-level strategy with detailed execution.

• Interaction & Visual Design: Strong proficiency in both interaction and visual design, with a specific focus on components, patterns, and their systematic application, evidenced by a portfolio showcasing extensive system design experience.

• Modern Web Technologies: Production experience with React, modern JavaScript/TypeScript, and CSS, including familiarity with utility-first CSS frameworks.

• Design Tool Proficiency: Ability to work fluently across Figma and code, understanding the intricate mapping and evolution between them over time.

• Generative AI Familiarity: Familiarity with generative AI concepts and a strong, demonstrable interest in shaping how AI agents and LLM-powered tools consume and apply design systems in real-world product development scenarios.

• Accessibility Standards: In-depth knowledge and practical application of web accessibility standards (e.g., WCAG) within component design and implementation.

• API Design Principles: Understanding of component API design principles for maintainability, extensibility, and ease of use.

Preferred Skills:

• Mature Design System Experience: Experience working with a mature, established design system or component library, particularly one that has evolved beyond its initial greenfield creation phase.

• AI Tooling Integration: Experience in designing or contributing to AI-assisted design tooling, such as agents, copilots, or MCP integrations.

• Automated Testing Frameworks: Familiarity with developing or integrating automated design testing frameworks.

• CI/CD & Developer Workflows: Understanding of CI/CD pipelines, code review processes, and IDE integrations for design system updates.

• Technical Leadership: Proven ability to lead technical design initiatives and influence teams and stakeholders across various disciplines.

• Storytelling & Communication: Exceptional communication and storytelling skills, with a talent for influencing and inspiring stakeholders, including leadership, across design, engineering, and AI.

📝 Enhancement Note: The qualifications strongly emphasize a blend of deep design system expertise, technical development skills (especially with React and modern web technologies), and a forward-looking understanding of AI's role in design. The portfolio requirement is critical for demonstrating this specific blend of skills.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Design System Case Studies: Showcase 2-3 in-depth case studies detailing your experience in designing, building, or significantly contributing to scalable design systems. These should highlight your process from conceptualization to implementation and adoption.

• Component Design & API Examples: Include specific examples of complex components you've designed, focusing on their API structure, rationale behind design decisions, and how they cater to various use cases and accessibility needs.

• AI Integration Concepts: Present any conceptual work or actual projects where you've explored or implemented AI in design workflows, particularly concerning UI generation, code assistance, or automated QA within a design system context.

• System Health & Evolution: Demonstrate your ability to monitor and improve design system health by showing examples of how you've tracked adoption, identified divergence, or managed system migrations and refactoring efforts.

• Cross-Functional Collaboration: Highlight instances where you've effectively partnered with engineering, product management, and AI teams, showcasing your ability to translate technical requirements and user needs into cohesive system solutions.

Process Documentation:

• Workflow Design & Optimization: Provide examples of how you've documented and optimized workflows related to design system contribution, adoption, and maintenance, including processes for new component proposals, design reviews, and code integration.

• Implementation & Automation Methods: Showcase documentation or examples of processes for implementing design system changes, including automated refactoring, migration strategies, and the integration of AI-driven tooling into developer workflows (e.g., CI/CD, IDE plugins).

• Measurement & Performance Analysis: Illustrate how you've established metrics and frameworks for measuring design system health, adoption rates, and the impact of AI integrations on efficiency and consistency. This should include examples of performance analysis and iterative improvement strategies.

📝 Enhancement Note: The portfolio and process documentation requirements are highly specific, focusing on the technical and AI-driven aspects of design systems. Candidates must be prepared to demonstrate not just design principles but also their ability to architect, implement, and integrate systems with code and AI.

💵 Compensation & Benefits

Salary Range: Based on industry benchmarks for Senior Product Designers specializing in Design Systems in major European tech hubs like Warsaw, and considering Netflix's competitive compensation strategy for senior roles, an estimated annual salary range would be €80,000 - €120,000. This range is subject to significant variation based on the candidate's specific experience, qualifications, and negotiation.

Benefits:

• Comprehensive Health Insurance: Robust medical, dental, and vision coverage for employees and their dependents.

• Generous Paid Time Off: Ample vacation days, paid holidays, and sick leave to promote work-life balance.

• Retirement Savings Plan: Competitive employer-sponsored retirement or pension plan.

• Performance-Based Bonuses: Potential for annual bonuses tied to individual and company performance.

• Stock Options/Equity: Possibility of stock options or other equity grants, reflecting the company's success.

• Professional Development: Budget for conferences, training, workshops, and continuous learning opportunities to foster career growth.

• Wellness Programs: Access to employee assistance programs, wellness initiatives, and fitness subsidies.

• Relocation Assistance: Support for candidates relocating to Warsaw, Poland.

Working Hours: Standard full-time working hours are expected, likely around 40 hours per week. While the role is on-site, Netflix is known for offering flexibility where possible, allowing for adjustments to accommodate individual productivity peaks and troughs, provided core responsibilities and collaboration needs are met.

📝 Enhancement Note: Salary is estimated based on typical senior-level tech roles in Warsaw and Netflix's known compensation practices for specialized engineering and design talent. Benefits are standard for large, global tech companies. The on-site nature suggests a need for consistent presence, but operational flexibility might be available.

🎯 Team & Company Context

🏢 Company Culture

Industry: Entertainment Streaming Services, Technology, Media. Netflix operates in a highly competitive global market, constantly innovating to deliver content and enhance user experience through technology.

Company Size: Large Enterprise (10,000+ employees globally). This scale implies mature processes, significant resources, and complex organizational structures, requiring strong system thinking and collaboration skills.

Founded: 1997. With a long history, Netflix has evolved from a DVD rental service to a global streaming giant, fostering a culture of innovation, adaptation, and continuous improvement.

Team Structure:

• Hawkins Professional Team: This team likely comprises specialized designers, engineers, and potentially AI/ML specialists focused on building and maintaining the design system for Netflix's internal enterprise tools.

• Reporting Structure: Likely reports into a Design Systems Lead, Head of Product Design, or a senior Engineering Manager overseeing tooling. The role involves significant cross-functional reporting lines to product teams and AI initiatives.

• Cross-Functional Collaboration: Expect close collaboration with Product Managers, Software Engineers (frontend, backend, AI/ML), UX Researchers, and other Design System teams across Netflix.

Methodology:

• Data-Driven Design: Decisions are heavily informed by data analytics, user research, and A/B testing to optimize user experiences and system effectiveness.

• Agile Development: Iterative development cycles, rapid prototyping, and continuous feedback loops are core to how product and system development is managed.

• System Thinking & Scalability: A strong emphasis on designing for scale, reusability, and long-term maintainability, especially crucial for a design system supporting a vast array of internal tools.

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

📝 Enhancement Note: Netflix's culture is famously driven by "freedom and responsibility," emphasizing high performance, candor, and autonomy. The "Hawkins Professional" design system is part of a critical internal infrastructure, suggesting its development is strategic and well-resourced.

📈 Career & Growth Analysis

Operations Career Level: Senior Individual Contributor. This role is a senior-level position focused on deep technical expertise and leadership within the design systems domain, specifically addressing the challenges of AI integration and enterprise tooling. It requires a leader who can set direction and influence without direct management responsibilities for a large team.

Reporting Structure: The role likely reports to a Design Systems Lead or a Director of Product Design/Engineering. The Senior Product Designer will be expected to collaborate extensively with engineering leads, AI researchers, and product managers across various internal tool development teams.

Operations Impact: This role has a significant impact on the efficiency, consistency, and scalability of Netflix's internal tooling. By establishing robust design system guardrails and enabling AI-driven UI generation, it directly contributes to faster development cycles, improved user experiences for internal teams, and reduced technical debt, ultimately supporting Netflix's ability to innovate and scale its core streaming services.

Growth Opportunities:

• Technical Specialization: Deepen expertise in AI-driven design, advanced system architecture, and cross-functional engineering practices, potentially leading to Principal or Staff level roles within design systems or related engineering disciplines.

• Leadership in Emerging Technologies: Opportunity to become a recognized leader in the application of generative AI within design systems, influencing industry best practices and internal tooling strategy.

• Cross-Functional Mobility: Potential to move into broader product leadership roles, technical program management, or specialized engineering roles within Netflix, leveraging a deep understanding of the company's technical infrastructure and design philosophy.

• Mentorship: Guide and mentor junior designers and engineers, fostering a culture of system thinking and AI-informed design practices within the organization.

📝 Enhancement Note: This role offers a unique opportunity to be at the forefront of AI's application in design systems, providing significant growth potential for individuals passionate about technical leadership and innovation in a high-impact environment.

🌐 Work Environment

Office Type: On-site, likely within a modern, collaborative office space designed to foster innovation and teamwork. Netflix offices are typically equipped with state-of-the-art facilities to support creative and technical work.

Office Location(s): Warsaw, Poland. This location offers access to a vibrant tech talent pool and a strategic presence within Europe.

Workspace Context:

• Collaborative Hub: The workspace will likely encourage interaction and spontaneous collaboration among designers, engineers, and AI specialists, facilitating knowledge sharing and problem-solving.

• Advanced Technology: Access to cutting-edge design and development tools, high-performance computing resources, and robust infrastructure necessary for working with AI models and complex systems.

• Team Interaction: Opportunities for regular sync-ups, design reviews, brainstorming sessions, and cross-functional project meetings, integrated within the daily on-site work schedule.

Work Schedule: The role is full-time and on-site, adhering to standard business hours in Warsaw, Europe/Warsaw timezone. While a structured work week is expected, Netflix's culture often supports flexible working arrangements where individual productivity and team needs can be balanced, particularly for deep work sessions.

📝 Enhancement Note: The on-site requirement in Warsaw suggests a need for a dedicated presence, likely for hands-on collaboration, team synergy, and access to specialized on-site resources.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A recruiter or hiring manager will review applications, focusing on alignment with core requirements and cultural fit.

• Portfolio Review & Technical Deep Dive: Candidates will present their portfolio, showcasing design system case studies, AI integration concepts, and technical proficiency. This will involve in-depth discussions about their system design philosophy, technical approach, and experience with React, JS/TS, CSS, and Figma.

• Cross-Functional Interviews: Interviews with engineers and product managers to assess collaboration skills, technical understanding, and ability to integrate design system principles into product development workflows.

• System Architecture & AI Strategy Discussion: A session focused on the candidate's vision for the Hawkins design system, their approach to AI integration, and how they would tackle specific challenges related to scalability, consistency, and automated UI generation.

• Final Round: Discussions with senior leadership to assess strategic thinking, leadership potential, and overall cultural alignment with Netflix values.

Portfolio Review Tips:

• Highlight AI Integration: Clearly articulate your understanding and experience with generative AI and its application in design systems. Showcase any projects or concepts demonstrating this capability.

• Showcase Technical Depth: Provide detailed examples of your work with React, JS/TS, CSS, and Figma, explaining your technical reasoning and problem-solving approach.

• Quantify Impact: Whenever possible, use metrics to demonstrate the impact of your design system contributions (e.g., adoption rates, reduction in development time, improvement in consistency scores).

• Focus on Systemic Thinking: Emphasize your ability to think holistically about system architecture, component APIs, and the long-term maintainability and scalability of the design system.

• Tell a Story: Structure your portfolio presentations as compelling narratives that clearly outline the problem, your approach, the solutions you implemented, and the outcomes achieved.

Challenge Preparation:

• Design System Problem Solving: Be prepared for hypothetical scenarios related to design system challenges, such as managing component divergence, scaling to new product areas, or integrating new technologies like AI.

• Technical Scenario: Expect questions or a small exercise related to translating design requirements into structured logic or code, or assessing the feasibility of an AI-generated UI component.

• Strategic Vision: Articulate your vision for the future of design systems, especially concerning AI, and how the Hawkins system can evolve to meet Netflix's growing needs.

📝 Enhancement Note: The interview process and portfolio review will heavily scrutinize the candidate's technical acumen, systemic thinking, and forward-thinking approach to AI in design. A strong portfolio demonstrating hands-on experience and strategic vision is crucial.

🛠 Tools & Technology Stack

Primary Tools:

• Figma: The primary tool for UI design, prototyping, and collaboration. Proficiency in its advanced features, including component variants, auto layout, and potentially plugins for system documentation or AI integration.

• React: The core front-end JavaScript library used for building interactive UIs. Deep understanding of React components, hooks, and state management is essential.

• JavaScript/TypeScript: Essential for front-end development and scripting. TypeScript is preferred for its type safety and improved developer experience.

• CSS: Expertise in modern CSS, including preprocessors (if used), utility-first CSS frameworks (like Tailwind CSS, though not explicitly mentioned, it's common in this context), and CSS-in-JS solutions.

• Version Control (Git): Standard for code management and collaboration.

Analytics & Reporting:

• Internal Netflix Analytics Tools: Likely proprietary tools for tracking design system adoption, component usage, and performance metrics across internal applications.

• Data Visualization Tools: Potentially tools for creating dashboards to monitor design system health and AI usage patterns.

CRM & Automation:

• Design System Management Tools: Tools or platforms used for documenting, organizing, and distributing design system assets and guidelines.

• AI/ML Platforms: Familiarity with platforms or frameworks used for developing and deploying AI agents and LLM integrations in design, though specific tools may be internal.

• CI/CD Tools: Understanding of continuous integration and continuous deployment pipelines (e.g., Jenkins, GitHub Actions, internal equivalents) for automated testing and deployment of design system updates.

📝 Enhancement Note: The technology stack is centered around modern web development practices and design tools, with a significant emphasis on integrating AI capabilities. Candidates must be comfortable working across design and engineering tools and understanding how they interact.

👥 Team Culture & Values

Operations Values:

• High Performance & Professionalism: As per Netflix's culture, a strong emphasis on delivering exceptional results, maintaining high standards, and acting with professionalism and integrity.

• Candor & Transparency: Open, honest, and direct communication is valued. This applies to feedback, design critiques, and system development discussions.

• Innovation & Adaptability: A continuous drive to innovate, especially in leveraging new technologies like AI, and the flexibility to adapt to evolving needs and challenges.

• System Thinking & Ownership: A deep commitment to building scalable, maintainable systems and taking full ownership of one's contributions and their impact on the broader organization.

Collaboration Style:

• Cross-Functional Integration: Seamless collaboration with engineering, product management, and AI teams, fostering a shared understanding and collective ownership of design system goals.

• Constructive Feedback: A culture where feedback is actively sought, given, and received constructively to drive continuous improvement in design and development processes.

• Knowledge Sharing: Proactive sharing of insights, best practices, and learnings related to design systems, AI integration, and tooling to elevate the capabilities of the entire team and organization.

📝 Enhancement Note: The team culture at Netflix is highly performance-oriented, emphasizing autonomy, accountability, and direct communication. Candidates should be prepared for a fast-paced environment where high standards and continuous learning are paramount.

⚡ Challenges & Growth Opportunities

Challenges:

• AI Integration Complexity: Navigating the technical and conceptual challenges of integrating generative AI into a mature design system, ensuring reliability, safety, and adherence to quality standards.

• Scalability Across Enterprise Tools: Designing and maintaining a design system that effectively serves a diverse and growing portfolio of internal enterprise tools, each with unique functional requirements.

• Balancing Design Consistency with AI Flexibility: Establishing guardrails that ensure consistency and accessibility while allowing AI agents sufficient flexibility to generate efficient and compliant UIs.

• Keeping Pace with AI Advancements: Staying current with the rapidly evolving landscape of generative AI and its implications for design systems, requiring continuous learning and adaptation.

Learning & Development Opportunities:

• Cutting-Edge AI in Design: The opportunity to pioneer the application of generative AI within design systems, gaining unparalleled expertise in a rapidly growing field.

• Advanced System Architecture: Deepen knowledge in designing complex, scalable system architectures and component APIs for enterprise-level applications.

• Cross-Disciplinary Expertise: Develop a profound understanding of engineering practices, AI/ML concepts, and product development lifecycles within a leading technology company.

• Industry Influence: Contribute to shaping best practices for AI-driven design systems, potentially speaking at conferences or publishing insights.

📝 Enhancement Note: The primary challenges revolve around the novel application of AI in design systems and maintaining high standards in a large-scale enterprise environment. The growth opportunities are significant for those looking to be at the forefront of technological innovation in design.

💡 Interview Preparation

Strategy Questions:

• Vision for AI in Design Systems: "How do you envision generative AI transforming design systems in the next 3-5 years, and what is your strategy for integrating these capabilities into the Hawkins system?" Be prepared to discuss specific AI applications, potential benefits, and risks.

• System Architecture Design: "Describe a complex component you designed for a scalable system. Walk us through its API structure, the rationale behind your design decisions, and how you ensured its maintainability and extensibility." Focus on technical details and systemic thinking.

• Cross-Functional Collaboration: "How would you approach partnering with engineering and AI teams to translate high-level design guidance into structured logic that AI agents can consume? Describe a time you successfully bridged gaps between design and engineering." Provide concrete examples of communication and problem-solving.

Company & Culture Questions:

• Netflix Values: "How do you embody Netflix's values of freedom and responsibility, candor, and high performance in your work, particularly in a complex design system role?"

• Design System Impact: "How would you measure the success and impact of the Hawkins design system, especially concerning AI integration and adoption by internal teams?"

• Problem-Solving Approach: "Describe a significant challenge you faced in a previous design system role and how you overcame it. What did you learn?"

Portfolio Presentation Strategy:

• AI-Centric Case Studies: Lead with projects that showcase your understanding and application of AI in design systems. Clearly articulate the problem, your AI-driven solution, the technical implementation, and the measurable outcomes.

• Technical Prowess Demonstration: When discussing code-related aspects (React, JS/TS, CSS), be ready to explain technical decisions and demonstrate your fluency with the technologies.

• Systemic Rationale: For each component or pattern presented, explain the underlying systemic logic, API design, and how it contributes to the overall architecture and scalability of the system.

• Storytelling with Data: Integrate metrics and data points to support your claims about design system adoption, efficiency gains, or improvements in consistency.

• Interactive Elements: If possible, prepare a brief live demo or interactive walkthrough of a relevant Figma file or code snippet to illustrate your points effectively.

📝 Enhancement Note: Interview preparation should focus on demonstrating a unique blend of advanced design system expertise, strong technical development skills, and a forward-thinking perspective on AI's role in product development. Candidates must be ready to discuss strategy, architecture, and practical implementation.

📌 Application Steps

To apply for this Senior Product Designer, Design Systems position:

• Submit your application through the Netflix Careers portal via the provided URL.

• Portfolio Customization: Tailor your portfolio to prominently feature your most relevant experiences in design systems, technical implementation (React, JS/TS, CSS), and any work or conceptual exploration related to AI in design. Prioritize case studies that demonstrate systemic thinking and scalability.

• Resume Optimization: Ensure your resume clearly highlights your 5-8+ years of experience in system design, your proficiency with the required technologies (React, JS/TS, CSS, Figma), and any experience with generative AI or AI-assisted tooling. Use keywords from the job description.

• Interview Preparation: Practice articulating your design system philosophy, technical approach, and vision for AI integration. Prepare to walk through your portfolio with confidence, focusing on the impact and systemic rationale behind your work.

• Company Research: Familiarize yourself with Netflix's culture, its history of innovation, and the specific context of internal tooling development. Understand how a robust design system like Hawkins supports the company's mission.

⚠️ Important Notice: This enhanced job description includes AI-generated insights and industry-standard assumptions. All details should be verified directly with Netflix's recruiting team before making application decisions.

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