Product Designer

📍 Job Overview

Job Title: Product Designer

Company: Maze

Location: Remote (Europe)

Job Type: Full-Time

Category: Product Design / UX/UI

Date Posted: May 31, 2026

Experience Level: Mid-Senior Level (4-7 years)

Remote Status: Fully Remote

🚀 Role Summary

• This is a pivotal, early-hire Product Designer role focused on defining novel user experiences for AI agents within the cybersecurity domain.

• The position requires a blend of strategic product thinking, end-to-end design ownership, and a strong visual craft to create intuitive interfaces for complex, data-dense environments.

• Candidates will pioneer new UX patterns for human-AI collaboration, build a scalable design system, and leverage AI tools to accelerate design workflows.

• Success hinges on delivering concrete product outcomes, driving adoption, and influencing product strategy in a fast-paced, well-funded Series A startup environment.

📝 Enhancement Note: While the title is "Product Designer," the description emphasizes a "product-led designer" approach, suggesting a role with significant strategic influence akin to a Product Director, particularly in problem framing, roadmap shaping, and business-impact decision-making. The focus on "defining what product design looks like" for a nascent field indicates a high degree of autonomy and foundational work.

📈 Primary Responsibilities

• Invent AI-Agent UX Patterns: Design novel interaction models for security teams collaborating with autonomous AI agents, focusing on trust establishment, investigation presentation, and human steering without hindering agent efficiency.

• Drive Product Strategy & Direction: Actively shape the product roadmap, challenge requirements with research and business reasoning, and influence leadership decisions beyond pure design execution.

• End-to-End Product Ownership: Manage the entire design lifecycle from problem framing and user discovery through rapid prototyping, customer validation, and close collaboration with engineering (including backend) through to shipped product.

• Develop & Scale Design System: Create, maintain, and evolve a component-based design system to ensure consistency, efficiency, and scalability across the product surface.

• Pioneer AI-Assisted Design Workflows: Integrate and advocate for the use of AI tools (e.g., Figma AI, Cursor, ChatGPT) to accelerate ideation, prototyping, and research synthesis, establishing best practices for the team.

• Translate User Research into Design: Conduct customer research and direct user interviews with security teams, synthesizing findings into actionable design solutions and rapid prototypes.

• Set Design Quality Standards: Establish and uphold high standards for visual craft, information architecture, consistency, and customer impact, laying the groundwork for future design team growth.

📝 Enhancement Note: The responsibilities highlight a senior-level individual contributor role with significant strategic influence. The emphasis on "inventing patterns" and "defining what product design looks like" points to a need for proactive problem-solving and creative thinking in an undefined design space. The requirement to collaborate closely with backend engineers suggests a strong understanding of technical constraints and implementation details.

🎓 Skills & Qualifications

Education: While no specific degree is mandated, a strong foundation in design principles, user experience, and information architecture is expected, often gained through formal education or equivalent professional experience.

Experience: 4-7 years of professional product design experience, with a demonstrated track record of shipping B2B SaaS products. Flexibility exists for candidates with exceptionally strong craft and clear ownership, even if slightly outside the stated years of experience.

Required Skills:

• Visual Craft for Data-Dense UI: Exceptional portfolio showcasing strong color theory, deliberate visual hierarchy, and considered information architecture for complex workflows.

• B2B SaaS Product Design: Proven experience designing and shipping features for complex B2B SaaS applications.

• Data-Heavy Interface Design: Direct experience designing for technical audiences, complex workflows, and dense data environments (e.g., dashboards, investigation tools, developer products).

• AI Tool Proficiency: Demonstrated ability to effectively use AI tools (Figma AI, Cursor, v0, Midjourney, ChatGPT/Claude, etc.) as part of a daily design workflow, with critical judgment on their outputs.

• Product-Strategic Thinking: Track record of driving product direction, influencing roadmaps, framing problems for leadership, and making business-impact decisions, ideally in PM-less environments.

• Deep Engineering Collaboration: History of close partnership with engineers (including backend) on implementation, understanding design tokens, and cohesive system integration.

• Design Systems Experience: Background in building or significantly contributing to a production design system, with a strong understanding of components, tokens, and patterns.

• Customer-Led Discovery: Comfort and experience in conducting user discovery directly with customers and synthesizing insights into product decisions.

Preferred Skills:

• Experience designing for cybersecurity, developer tools, or other highly technical product domains.

• Background designing agentic or AI-native product experiences (not just AI features).

• Early-stage startup experience, particularly in environments with less established design functions or direct management.

📝 Enhancement Note: The emphasis on "visual craft for data-dense UI" and the portfolio review digging into "specific design choices and why you made them" indicates a high bar for design execution. The requirement for AI tool usage is framed as an accelerator, not a replacement for foundational craft, underscoring the importance of core design skills.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• A strong, scrutinizable portfolio demonstrating visual craft, information architecture, and data-dense UI design capabilities.

• Case studies showcasing end-to-end product design ownership, from problem framing to shipped product, with clear explanations of design decisions and their rationale.

• Examples of contributions to or creation of design systems, highlighting component-based thinking and pattern establishment.

• Demonstrations of how user research and customer discovery directly informed design outcomes.

Process Documentation:

• Detailed documentation of how you approach problem framing and user discovery for novel challenges.

• Explanations of your rapid prototyping and customer validation methodologies.

• Examples of how you collaborate with engineering teams throughout the design and implementation process.

• Case studies illustrating the use of AI tools within your design workflow and their impact on efficiency and outcomes.

📝 Enhancement Note: The portfolio is critical, with a specific emphasis on visual craft and the rationale behind design choices. Candidates should be prepared to discuss their process for tackling undefined problem spaces, integrating AI, and collaborating with engineering, showcasing a product-led approach rather than pure execution.

💵 Compensation & Benefits

Salary Range: While not explicitly stated, for a Mid-Senior Product Designer with 4-7 years of experience in a fully remote European context for a Series A startup, a typical annual salary range could be between €70,000 - €100,000, depending on the specific country, candidate experience, and market competitiveness.

Benefits:

• Competitive salary and potential for equity in a well-funded startup.

• Comprehensive health benefits package, tailored for remote employees.

• Generous paid time off and public holidays.

• Opportunities for professional development, including conferences, training, and workshops.

• Support for home office setup and remote work stipends.

• Collaborative and innovative work environment focused on cutting-edge technology.

Working Hours: Standard full-time hours, typically around 40 hours per week. Given the fully remote nature and European location, flexibility may exist to accommodate different time zones within reasonable working hours, encouraging asynchronous collaboration where possible.

📝 Enhancement Note: Salary estimations are based on general market data for similar roles in Europe, considering the Series A funding stage and remote-first nature. Specific benefits will be detailed during the interview process.

🎯 Team & Company Context

🏢 Company Culture

Industry: Technology, Cybersecurity, Artificial Intelligence (Generative AI, AI Agents)

Company Size: The company is a well-funded Series A startup, indicating a lean, agile team with significant growth potential. This implies a dynamic environment where individual contributions have a direct and visible impact.

Founded: Founded recently, likely within the last few years, focusing on leveraging cutting-edge AI for cybersecurity solutions.

Team Structure:

• The Product Design function is nascent, with this being an early hire. The designer will work directly with the Head of Product, engineering teams, and the founders.

• The reporting structure is likely flat, with direct access to leadership.

Methodology:

• Data Analysis & Insights: Emphasis on translating complex security data and user behavior into actionable insights that drive product decisions. AI-assisted analysis is encouraged.

• Workflow Planning & Optimization: Focus on designing efficient, intuitive workflows for security professionals interacting with AI agents, cutting through noise and enabling faster action.

• Automation & Efficiency: Core to the company's mission is using AI to automate and improve cybersecurity processes, which is reflected in the design approach.

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

📝 Enhancement Note: As an early-stage startup, Maze likely fosters a culture of innovation, rapid iteration, and high ownership. The cybersecurity and AI focus suggest a technically sophisticated and problem-solving-oriented environment.

📈 Career & Growth Analysis

Operations Career Level: This role is positioned as a senior individual contributor (IC) with significant strategic influence. The description emphasizes operating closer to a "product director" than a "screen-shipper," indicating a leadership trajectory.

Reporting Structure: The designer will report directly to the Head of Product and work very closely with the founders and engineering leads. This provides high visibility and direct access to decision-makers.

Operations Impact: The role's impact is substantial, directly shaping the user experience of a novel AI-powered cybersecurity product. Success will be measured by feature adoption, customer satisfaction, and conversion rates (POC to customer), directly tying design efforts to business outcomes and revenue generation.

Growth Opportunities:

• Design Leadership Path: This is a "founding-trajectory role." The natural progression is from Senior IC to Design Lead, and potentially Head of Design, as the team scales. The company is explicitly hiring for long-term growth.

• Skill Specialization: Deepen expertise in designing for AI-native products, agentic systems, and complex cybersecurity workflows.

• Strategic Influence: Develop skills in product strategy, roadmap influence, and cross-functional leadership within a fast-growing tech company.

📝 Enhancement Note: This role offers a rare opportunity for a designer to be instrumental in defining a new product category and building a design function from the ground up. The growth potential is significant for someone looking to move into leadership or deepen their expertise in a cutting-edge field.

🌐 Work Environment

Office Type: Fully Remote. The company operates without a physical office, embracing a distributed workforce.

Office Location(s): Primarily targeting candidates in Europe to facilitate time zone alignment for core working hours and team collaboration.

Workspace Context:

• Collaborative Environment: While remote, the culture emphasizes tight-knit, cross-functional collaboration, requiring proactive communication and engagement.

• Operations Tools & Technology: Access to modern design tools (Figma), AI assistants (ChatGPT, etc.), and communication platforms essential for remote work.

• Team Interaction: Regular virtual meetings, design critiques, and brainstorming sessions to foster connection and shared understanding.

Work Schedule: Standard full-time hours (approx. 40 hours/week) with potential flexibility to accommodate European time zones. Emphasis on asynchronous communication where effective, but with scheduled syncs for critical collaboration.

📝 Enhancement Note: The remote-first nature necessitates strong self-discipline, excellent communication skills, and comfort with virtual collaboration tools. The European focus suggests an effort to build a cohesive team within a compatible time zone range.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: Review of resume and portfolio to assess alignment with core requirements, particularly visual craft, B2B SaaS experience, and AI tool familiarity.

• Portfolio Deep Dive: A dedicated session to walk through selected case studies, focusing on design process, decision-making rationale, problem-solving, and impact. Expect detailed questions about specific design choices.

• Product Strategy & Collaboration Interview: Discussion around how you drive product direction, collaborate with engineering and PM, and approach user discovery. Potential for a take-home exercise or live design challenge focused on a new UX pattern.

• Team/Founder Interview: Assessment of cultural fit, strategic thinking, and overall alignment with the company's vision and mission.

Portfolio Review Tips:

• Showcase Novelty: Highlight projects where you tackled undefined problem spaces or invented new interaction patterns, especially if related to complex data or AI.

• Detail Your Process: Clearly articulate your problem-solving methodology, user research integration, and decision-making frameworks. For this role, emphasize how you'd approach designing for AI agents and cybersecurity.

• Demonstrate Strategic Impact: Beyond aesthetics, show how your designs translated into business outcomes (e.g., adoption, efficiency gains, conversion improvements). Quantify impact where possible.

• Explain AI Tool Usage: Be prepared to discuss how you leveraged AI tools, what they enabled, and critically, how your core design craft ensured quality independent of AI generation.

• Highlight Collaboration: Include examples of close work with engineers and product managers, demonstrating your ability to ship products effectively.

Challenge Preparation:

• Pattern Invention: Practice brainstorming and sketching novel UI patterns for human-AI interaction, especially in a high-stakes context like cybersecurity.

• Problem Framing: Be ready to articulate how you would frame a vague problem (e.g., "how to build trust between users and AI agents") into actionable design requirements.

• Data-Dense UI Design: Review principles of information architecture and visual hierarchy for complex dashboards and analytical tools.

• AI Ethics & Trust: Consider how you would design for user trust, transparency, and control in AI-driven systems.

📝 Enhancement Note: The interview process is rigorous, with a strong emphasis on portfolio quality and the candidate's ability to think strategically and invent new design solutions for a cutting-edge domain. Expect deep dives into your design process and rationale.

🛠 Tools & Technology Stack

Primary Tools:

• Design & Prototyping: Figma (primary tool, likely with advanced features and collaboration plugins), potentially other prototyping tools.

• AI-Assisted Design: Figma AI, Cursor, v0, Midjourney, ChatGPT, Claude, or similar generative AI and large language model tools integrated into the workflow.

• User Research & Testing: Tools for user interviews, usability testing, and synthesizing feedback (e.g., Maze, UserTesting.com, Dovetail).

Analytics & Reporting:

• Familiarity with product analytics tools (e.g., Amplitude, Mixpanel, Google Analytics) to understand user behavior and measure feature adoption.

CRM & Automation:

• While not a direct CRM role, understanding how design impacts conversion funnels and user onboarding in B2B SaaS is crucial. Familiarity with CRM concepts and marketing automation principles may be beneficial for understanding the broader customer journey.

• Experience with design token management within design systems and potentially integration with development workflows.

📝 Enhancement Note: Proficiency with Figma is a given. The key differentiator will be the candidate's demonstrated ability to integrate and leverage AI tools effectively within their design process, alongside a strong understanding of how design impacts key business metrics in a B2B SaaS context.

👥 Team Culture & Values

Operations Values:

• Innovation & Pioneering: A drive to create new solutions and define new product categories, especially at the intersection of AI and cybersecurity.

• Customer-Centricity: A commitment to deeply understanding user needs and translating them into impactful product experiences.

• Collaboration & Ownership: A culture where individuals take full ownership of their work and collaborate seamlessly across functions to achieve common goals.

• Data-Driven Decision Making: Reliance on both quantitative and qualitative data to inform strategy, design choices, and product direction.

• Technical Excellence: A high regard for craft, engineering rigor, and building robust, scalable solutions.

Collaboration Style:

• Cross-Functional Integration: Design is deeply embedded within product and engineering teams, fostering continuous dialogue and co-creation.

• Open Feedback Culture: Encouragement of constructive feedback on designs and processes to drive continuous improvement.

• Knowledge Sharing: Proactive sharing of insights, learnings, and best practices, particularly around new AI tools and design patterns.

📝 Enhancement Note: The company values likely revolve around innovation, rapid execution, and a strong sense of collective responsibility. Expect a culture that rewards initiative, strategic thinking, and a hands-on approach to problem-solving.

⚡ Challenges & Growth Opportunities

Challenges:

• Designing for an Undefined Space: Creating user experiences and interaction patterns for AI agents in cybersecurity where established best practices do not yet exist.

• Building Trust in AI: Designing interfaces that foster user trust and confidence in autonomous AI agents, especially in a security context where errors can have high consequences.

• Balancing AI Assistance and Human Craft: Effectively integrating AI tools into the design workflow without compromising fundamental design quality and strategic thinking.

• Early-Stage Startup Dynamics: Navigating the inherent ambiguity, rapid change, and resource constraints typical of a Series A startup.

• Remote Collaboration: Maintaining strong team cohesion, communication, and design quality in a fully remote environment.

Learning & Development Opportunities:

• Pioneering a New Category: Opportunity to define design standards for AI-driven cybersecurity products, shaping the future of the industry.

• Leadership Development: Clear path for growth into design leadership roles as the company scales.

• Cutting-Edge Technology: Hands-on experience with generative AI, LLMs, and agentic systems, staying at the forefront of technological innovation.

• Strategic Impact: Direct influence on product strategy and business outcomes in a high-growth startup environment.

• Mentorship: Potential to learn from experienced leaders in Big Tech and scale-ups who have exited companies and taken others public.

📝 Enhancement Note: This role presents significant challenges that are also major growth opportunities. Successfully navigating these will build highly valuable experience in a rapidly evolving field.

💡 Interview Preparation

Strategy Questions:

• "How would you approach designing the core interaction between a security analyst and an autonomous AI agent investigating a vulnerability?" (Focus on trust, control, information presentation).

• "Describe a time you had to drive product direction with limited formal authority. What was your approach, and what was the outcome?" (Demonstrates product-strategic thinking).

• "How do you ensure the quality and intentionality of designs generated or assisted by AI tools?" (Tests critical judgment and core craft).

Company & Culture Questions:

• "What excites you about Maze's mission at the intersection of AI and cybersecurity?" (Assesses alignment with company vision).

• "How do you envision building a design system from the ground up in a fast-paced startup?" (Tests understanding of system thinking and scalability).

Portfolio Presentation Strategy:

• Structure Your Narrative: For each case study, clearly outline the problem, your role, the process, key decisions, challenges, and the final impact.

• Quantify Impact: Whenever possible, use metrics (e.g., feature adoption rate, time saved, conversion improvements) to demonstrate the success of your designs.

• Showcase Your Process: Be prepared to walk through wireframes, prototypes, and iterations, explaining the rationale behind each step. Emphasize how you integrated user feedback and technical constraints.

• Highlight AI Integration: Clearly articulate where and how AI tools were used, and how they enhanced your workflow or outcomes, while still emphasizing your critical design oversight.

• Focus on Craft: Be ready to defend specific visual design choices (color, typography, layout) and explain their contribution to usability and user experience, particularly for data-dense interfaces.

📝 Enhancement Note: Preparation should focus on demonstrating strategic thinking, a deep understanding of user-centered design for complex B2B products, and a thoughtful approach to leveraging AI. Be ready to articulate your process, defend your decisions, and showcase your ability to innovate in an undefined space.

📌 Application Steps

To apply for this Product Designer position:

• Submit your application through the provided Ashby link, ensuring all required fields are completed accurately.

• Portfolio Customization: Tailor your portfolio to highlight projects demonstrating experience with data-dense UIs, B2B SaaS, design systems, and any work involving AI or complex technical domains. Prepare 2-3 key case studies for detailed discussion.

• Resume Optimization: Ensure your resume clearly articulates your 4-7 years of relevant experience, emphasizing achievements in product strategy, end-to-end design ownership, and collaboration with engineering. Use keywords from the job description.

• Interview Preparation: Practice articulating your design process, rationale for key decisions, and how you leverage AI tools. Prepare to discuss your approach to defining new UX patterns and driving product direction.

• Company Research: Familiarize yourself with Maze's mission, product, and the cybersecurity/AI landscape. Understand their Series A funding status and the implications for a startup environment.

⚠️ Important Notice: This enhanced job description includes AI-generated insights and operations industry-standard assumptions to provide comprehensive context. All details should be verified directly with Maze during the application and interview process.