Senior Product Designer at Qevlar AI

📍 Job Overview

Job Title: Senior Product Designer

Company: Qevlar AI

Location: Paris, France / London, United Kingdom

Job Type: FULL_TIME

Category: Product Design / UX/UI

Date Posted: 2026-01-19

Experience Level: 5-10 years

Remote Status: Remote OK

🚀 Role Summary

Design and evolve complex, data-intensive investigation workflows for cybersecurity analysts, ensuring clarity and context in high-stakes decision-making.
Develop intuitive data visualizations and prioritization interfaces that surface critical insights effectively for technical users.
Collaborate closely with engineering and product management to translate user needs and technical constraints into feasible, impactful design solutions.
Establish and mature a comprehensive design system, creating reusable components and patterns to support scalable product development within a fast-growing B2B SaaS environment.

📝 Enhancement Note: This role focuses on a highly specialized area of Product Design within Cybersecurity and AI, demanding a deep understanding of complex data, intricate workflows, and user trust in AI systems. The "Senior" title implies a need for leadership in design practices and system maturity.

📈 Primary Responsibilities

Design intuitive and efficient investigation workflows that guide cybersecurity analysts through complex scenarios, maintaining context and clarity for high-stakes decision-making.
Create sophisticated data visualizations and prioritization interfaces that effectively surface critical insights and actionable intelligence to technical users in real-time.
Develop user-centric features that clearly explain AI reasoning and decision-making processes, fostering trust and enabling technical verification of automated findings.
Design multi-level views and interaction patterns that cater to diverse user roles, from junior analysts to senior security leaders, ensuring appropriate detail and functionality for each.
Partner extensively with engineering teams to understand platform constraints, identify creative solutions, and ensure design feasibility and technical implementation success.
Collaborate with product management to translate user needs, business requirements, and market insights into compelling design solutions that drive product adoption and value.
Engage directly with enterprise security teams and MSSP partners to deeply understand their operational workflows, pain points, and decision-making processes, informing design strategy.
Establish, evolve, and evangelize our design system, creating a library of reusable components, patterns, and guidelines for complex security workflows.
Develop comprehensive design documentation, style guides, and interaction patterns that support team growth and product scalability.
Introduce and implement best-practice design processes, tools, and workflows to mature the product design function within a fast-paced startup environment.

📝 Enhancement Note: The responsibilities emphasize a blend of core product design execution, strategic system development, and deep user/technical collaboration. The emphasis on "designing for trust in AI" and "explaining AI reasoning" are critical, specialized aspects of this role.

🎓 Skills & Qualifications

Education: While no specific degree is listed, a Bachelor's or Master's degree in Design, Human-Computer Interaction, Computer Science, or a related field is often preferred for senior roles. Emphasis will be on portfolio and experience.

Experience: 5+ years of progressive product design experience, with a strong focus on complex, data-heavy applications within technical domains. Proven experience in fast-paced startup environments (Series A/B) is crucial.

Required Skills:

Complex Product Design: Proven experience designing for intricate workflows, multi-dimensional data, and technical user bases, such as security tools, observability platforms, analytics systems, or developer tools.
User Research: Deep understanding and practical application of user research methodologies, including conducting in-depth interviews, usability testing, and translating qualitative and quantitative findings into actionable design decisions.
Figma & Prototyping: Expert-level proficiency in Figma for UI design, wireframing, and interactive prototyping.
UI Design & Attention to Detail: Strong UI design skills with a meticulous eye for detail, ensuring a polished and professional user interface.
Design Systems: Experience in developing, implementing, and maintaining a comprehensive design system, including creating reusable components, patterns, and documentation.
Information Architecture: Ability to design complex information architectures and data visualizations that make technical information clear, coherent, and actionable.
Front-End Fundamentals: Understanding of front-end development principles and best practices to design for dynamic content and ensure design feasibility with developers.
Collaboration & Communication: Excellent ability to partner effectively with cross-functional teams, including engineering, product management, and stakeholders.

Preferred Skills:

B2B SaaS/Enterprise Software: Prior experience designing for Business-to-Business Software-as-a-Service or enterprise-level software solutions.
Cybersecurity Domain: Specific experience or a strong understanding of cybersecurity products, security operations centers (SOC) workflows, threat investigation processes, or related technical domains.
AI/ML Trust Design: Experience designing for AI/ML systems, with a focus on building user trust, explaining AI reasoning, and managing user perception of automated decision-making.
Graph-Based Visualizations: Familiarity or experience with designing interfaces for graph-based visualizations or relationship mapping tools.
Brand Identity: An interest and aptitude for shaping and contributing to brand identities through design.
Modern AI Tools: Experience leveraging AI tools to optimize design workflows and enhance productivity.

📝 Enhancement Note: The "Required Skills" section has been expanded to detail the depth of expertise expected for each skill, particularly in user research and design system implementation, reflecting the senior nature of the role. Preferred skills highlight domain-specific knowledge that would be highly advantageous.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

Process-Driven Case Studies: A robust portfolio showcasing at least 2-3 detailed case studies that clearly articulate your design process from problem definition through to solution and impact.
Complex Problem Solving: Demonstrations of how you tackled complex user problems, particularly those involving intricate workflows, multi-dimensional data, or technical decision-making.
Data Visualization & IA: Specific examples of designing effective data visualizations, complex information architectures, or interfaces for technical data analysis.
Design System Contribution: Evidence of your involvement in developing or contributing to a design system, including examples of reusable components and guidelines.
Impact & Outcomes: Quantifiable results or clear qualitative outcomes demonstrating the impact of your design solutions on user experience, efficiency, or business objectives.

Process Documentation:

Workflow Mapping & Optimization: Examples of how you've mapped out existing user workflows and identified opportunities for optimization through design.
User Research Synthesis: Documentation showing how user research findings were synthesized and translated into concrete design recommendations and solutions.
Design Iteration: Prototypes or mockups illustrating design iterations based on feedback, usability testing, or evolving requirements, demonstrating a pragmatic approach to shipping.

📝 Enhancement Note: The portfolio requirements are tailored to highlight the specific challenges of this role: complexity, data intensity, technical users, and the need for mature design practices. Emphasis is placed on demonstrating process and measurable outcomes.

💵 Compensation & Benefits

Salary Range: €75,000 - €90,000 per year (EUR)

Benefits:

Competitive Salary: A competitive annual salary within the provided range, reflecting the senior level and specialized skills required.
Remote Work Flexibility: Full remote work arrangement, allowing for work from Paris, London, or other approved locations, with potential for flexibility in working hours.
Stock Options: Potential for equity participation, common in early-stage, fast-growth startups, allowing employees to share in the company's success.
Health & Wellness: Comprehensive health insurance coverage, potentially including mental health support and wellness programs.
Professional Development: Opportunities for continuous learning, including access to conferences, training, and advanced design resources to stay at the forefront of AI and cybersecurity design.
Generous Paid Time Off: A comprehensive package for vacation, sick leave, and public holidays.
Equipment Stipend: A budget for essential work equipment to ensure a productive remote setup.

Working Hours: Standard full-time hours (approximately 40 hours per week), with flexibility expected given the remote nature and fast-paced startup environment. Collaboration across time zones (Paris/London) will require some flexibility.

📝 Enhancement Note: The salary range provided is directly from the input. The benefits are inferred based on common offerings for remote, Series A SaaS startups targeting senior talent in competitive tech hubs like Paris and London. The range of €75,000-€90,000 is standard for a Senior Product Designer in these locations, depending on exact experience and specific company compensation bands.

🎯 Team & Company Context

🏢 Company Culture

Industry: Artificial Intelligence (AI), Cybersecurity, B2B SaaS. Qevlar AI operates at the intersection of cutting-edge AI and critical cybersecurity solutions, aiming to revolutionize how security operations centers function.

Company Size: Startup (likely Series A stage, given funding mentioned). This implies a dynamic, fast-paced environment with opportunities for significant individual impact and direct influence on product direction.

Founded: Qevlar AI was founded approximately two years prior to the job posting date, indicating a young, agile company with a strong growth trajectory.

Team Structure:

Lean & Agile: Expect a relatively small, highly specialized team with flat hierarchies, fostering direct communication and rapid decision-making.
Cross-functional Pods: Product, Engineering, and Design teams likely work in close-knit, cross-functional units or pods, common in agile development environments.
Direct Reporting: The Senior Product Designer will likely report to a Head of Product, Head of Design, or a CTO, with close collaboration across all levels.

Methodology:

Data-Driven Design: Emphasis on using data analytics, user research, and performance metrics to inform design decisions and measure impact.
Agile Development: Iterative development cycles, likely using methodologies like Scrum or Kanban, with a focus on continuous delivery and rapid prototyping.
User-Centricity & Pragmatism: A balance between advocating for deep user needs and understanding business constraints and shipping requirements. The company values pragmatism and the ability to deliver functional solutions.

Company Website: https://qevlar.com

📝 Enhancement Note: Inferred company culture details are based on the description of a Series A AI/Cybersecurity SaaS startup. The emphasis is on agility, innovation, and direct impact.

📈 Career & Growth Analysis

Operations Career Level: This is a Senior Product Designer role, indicating a position of significant responsibility and influence. It signifies a level where individuals are expected to lead design initiatives, mentor junior designers (if/when they join), and contribute strategically to product vision and design system maturity. The role requires deep expertise in a specialized domain rather than broad, generalist experience.

Reporting Structure: The Senior Product Designer will likely report to a Head of Product, Chief Product Officer (CPO), or potentially a CTO, depending on the current organizational structure. They will work closely with Product Managers and Engineering Leads, forming a core part of the product development triad.

Operations Impact: The Senior Product Designer's work will have a direct and significant impact on Qevlar AI's core product offering. By designing intuitive and effective investigation workflows and data visualizations, they will directly influence the productivity, efficiency, and trust of cybersecurity professionals using the platform. This directly contributes to the company's value proposition and market competitiveness.

Growth Opportunities:

Design Leadership: Potential to grow into a Lead Product Designer or Head of Design role as the company scales, taking ownership of the entire design function and team.
Specialization: Deepen expertise in AI/ML design, cybersecurity UX, or complex data visualization, becoming a recognized expert in these niche areas.
Product Strategy: Contribute more broadly to product strategy, roadmap planning, and go-to-market considerations, leveraging design insights.
Mentorship: Opportunity to mentor and guide junior designers, fostering talent within the organization.
Cross-Functional Mobility: Potential to move into Product Management or related GTM roles with gained domain expertise.

📝 Enhancement Note: This analysis focuses on the career trajectory and impact specific to a Senior Product Designer role in a growing tech startup, emphasizing leadership and specialization within the AI/Cybersecurity domain.

🌐 Work Environment

Office Type: The role is predominantly remote ("Remote OK," "TELECOMMUTE"). While specific office locations are mentioned (Paris, London), the expectation is that the designer will work from a home office or co-working space. The company may have a small physical presence or offer hubs for occasional in-person collaboration.

Office Location(s): The specified locations are Paris, France, and London, United Kingdom. These are identified as potential hubs for collaboration or for employees who prefer to work from a specific region, but the role is designed to be remote-friendly across these areas.

Workspace Context:

Remote Collaboration Tools: Expect heavy reliance on digital collaboration tools (e.g., Slack, Zoom, Miro, Figma) for communication, ideation, and design reviews.
Autonomous Work: A significant portion of the work will be performed autonomously, requiring self-discipline, time management, and proactive communication.
Cross-Functional Interaction: Regular interaction with product managers, engineers, researchers, and potentially sales/customer success teams, requiring strong communication skills.
Design System Focus: Access to and contribution towards a shared digital design system will be a core part of the workspace, promoting consistency and efficiency.

Work Schedule: While aligned with standard full-time hours (approx. 40 hours/week), the remote nature implies a degree of flexibility. However, core working hours will likely overlap with European time zones (CET/GMT) to facilitate real-time collaboration with the core team in Paris and London.

📝 Enhancement Note: The work environment description is tailored to a remote-first, international startup, emphasizing the tools and communication styles necessary for effective collaboration across distances and time zones.

📄 Application & Portfolio Review Process

Interview Process:

Initial Screening: A brief call with a recruiter or HR representative to assess basic qualifications, cultural fit, and interest in the role and company.
Hiring Manager Interview: A deeper dive with the hiring manager (e.g., Head of Product/Design) to discuss experience, approach to complex design problems, and alignment with the team's needs.
Portfolio Presentation & Design Challenge: A critical stage where candidates present their portfolio, highlighting relevant case studies. This may be combined with a take-home design challenge or a live design exercise focused on a specific problem relevant to Qevlar AI's product. This assesses design process, problem-solving, and communication skills.
Cross-Functional Interviews: Meetings with key stakeholders from Engineering and Product Management to evaluate collaboration skills, technical understanding, and ability to integrate design into the development lifecycle.
Final Interview/Executive Round: A discussion with a senior leader (e.g., CEO, CTO) to assess overall fit, strategic thinking, and long-term potential.

Portfolio Review Tips:

Curate for Relevance: Select case studies that best demonstrate experience with complex data, intricate workflows, technical users, and ideally, AI or cybersecurity domains.
Show, Don't Just Tell: Clearly articulate the problem, your role, the design process, your specific contributions, the challenges faced, and the final outcomes (quantified if possible).
Highlight Process: Emphasize your end-to-end design thinking – user research, ideation, prototyping, testing, and iteration. Show how you make decisions.
Design System Examples: Include examples of your work with design systems, showcasing component design, pattern creation, and documentation.
AI Trust Focus: If applicable, highlight any experience designing for trust in AI/ML systems or explaining complex algorithmic reasoning.
Conciseness: While detailed, ensure your presentation is concise and impactful, respecting the interviewers' time.

Challenge Preparation:

Understand the Domain: Research Qevlar AI's product, the cybersecurity industry, and common SOC workflows. Understand the types of problems security analysts face.
Focus on Process: For any design challenge, demonstrate a structured approach: understanding the problem, defining scope, exploring solutions, and articulating trade-offs.
Think Aloud: If it's a live exercise, clearly communicate your thought process, assumptions, and rationale.
Consider Technical Constraints: Acknowledge that designs need to be feasible for engineers to build.
Data Visualization & IA: Be prepared to discuss how you would visualize complex data or structure information for technical users.

📝 Enhancement Note: This section outlines a typical interview process for a senior design role in a tech startup, with specific advice tailored to the unique requirements of designing for AI and cybersecurity. The portfolio review is emphasized as a crucial component.

🛠 Tools & Technology Stack

Primary Tools:

Figma: The core tool for UI design, wireframing, prototyping, and collaborative design. Expert proficiency is a must.
Prototyping Tools: Beyond Figma's built-in capabilities, experience with tools like ProtoPie or Principle might be beneficial for more advanced interactive prototypes.
Collaboration Platforms: Slack (for communication), Zoom/Google Meet (for video conferencing), Miro/FigJam (for whiteboarding and ideation).
Design System Management: Familiarity with tools or processes for managing and documenting design systems within Figma (e.g., Zeroheight, Storybook integration concepts).

Analytics & Reporting:

Product Analytics Tools: Experience with tools like Amplitude, Mixpanel, or Pendo to understand user behavior, track feature adoption, and inform design decisions.
Data Visualization Libraries/Tools: While not a direct design tool, understanding capabilities of libraries like D3.js or tools like Tableau/Power BI can inform design for data-heavy interfaces.

CRM & Automation:

Project Management Tools: Jira, Asana, or Trello for tracking design tasks, sprints, and project progress within the development workflow.
User Research Platforms: Tools for managing user interviews, surveys, and usability testing (e.g., UserTesting.com, Lookback, Dovetail).

📝 Enhancement Note: The technology stack emphasizes tools common in modern product design teams, with a strong focus on Figma and collaboration platforms. Understanding analytics and project management tools is also important for cross-functional alignment.

👥 Team Culture & Values

Operations Values:

Impact-Driven: A focus on delivering tangible value and measurable outcomes through design, rather than just aesthetics.
Collaboration & Transparency: Open communication, willingness to share work-in-progress, and active participation in cross-functional discussions.
Pragmatism & Shipping: A practical approach to design that balances user needs with business goals and the ability to ship functional products efficiently.
Continuous Learning: A commitment to staying ahead of trends in AI, cybersecurity, and design, with an openness to new tools and methodologies.
User Advocacy: Deep empathy for the user and a strong drive to solve their most critical problems, even in complex technical domains.

Collaboration Style:

Cross-Functional Partnership: Designers work as integral members of product teams, collaborating closely with Product Managers and Engineers throughout the development lifecycle.
Iterative Feedback Loops: Regular design critiques, usability testing sessions, and feedback exchanges to refine solutions.
Shared Ownership: A culture where design, product, and engineering share responsibility for product success.
Proactive Communication: Encouraging team members to raise questions, share insights, and flag potential issues early.

📝 Enhancement Note: These values and collaboration styles are inferred from the company's description as a fast-growing, AI-focused B2B SaaS startup, emphasizing agility, impact, and cross-functional teamwork.

⚡ Challenges & Growth Opportunities

Challenges:

Designing for Trust in AI: A primary challenge is creating interfaces that build user confidence in AI-driven insights and decisions, especially in a domain where errors can have severe consequences.
Complexity of Data & Workflows: The inherent complexity of cybersecurity data and investigation processes requires sophisticated design solutions that remain intuitive and manageable for users.
Balancing Speed and Craft: In a fast-paced startup, balancing the need for rapid iteration and shipping with maintaining high design quality and system consistency.
Technical User Needs: Designing for highly technical users who may have specific expectations regarding control, transparency, and data accuracy.
Evolving AI Landscape: Keeping pace with rapid advancements in AI technology and understanding how to integrate them effectively and responsibly into the product.

Learning & Development Opportunities:

Domain Expertise: Deepen knowledge in cybersecurity, threat intelligence, and security operations center (SOC) workflows, becoming a subject matter expert.
AI Design Specialization: Develop cutting-edge skills in designing for AI/ML systems, focusing on explainability, trust, and human-AI collaboration.
System Design & Scalability: Gain experience in building and scaling design systems for complex enterprise applications.
Leadership Development: Opportunities to take on more leadership responsibilities, mentor junior designers, and influence product strategy.
Industry Exposure: Engage with industry conferences, research papers, and the broader AI/Cybersecurity communities.

📝 Enhancement Note: Challenges are directly drawn from the job description's nuances, particularly concerning AI trust and complex data. Growth opportunities are framed around specialization and leadership within this niche.

💡 Interview Preparation

Strategy Questions:

Q1 (AI Trust & Explainability): "How would you design an interface that helps a security analyst trust and verify an AI-generated alert, and what elements would you include to explain the AI's reasoning?"
- Preparation: Think about different levels of AI explainability (e.g., feature importance, rule-based explanations, confidence scores). Consider how to visualize evidence and data points that led to the AI's conclusion. Map out potential user flows for validating an alert.
Q2 (Complex Workflow Design): "Describe your process for designing a complex investigation workflow for a cybersecurity analyst. What are the key considerations for maintaining context and guiding them through high-stakes decisions?"
- Preparation: Focus on user journey mapping, task analysis, information hierarchy, and affordances for guiding users. Discuss how you handle ambiguity and incomplete information in user tasks. Use examples from your portfolio.
Q3 (Design System Maturity): "Imagine you're joining a Series A startup. What are your priorities for establishing or evolving a design system to support rapid growth and ensure consistency across complex features?"
- Preparation: Discuss a phased approach to design systems, starting with core components and patterns. Emphasize collaboration with engineering and the importance of documentation and governance.

Company & Culture Questions:

Q4 (Company Vision): "What excites you about Qevlar AI's mission to boost cybersecurity team productivity through AI, and how do you see design contributing to that mission?"
- Preparation: Research Qevlar AI's website, recent news, and funding rounds. Connect your passion for design and problem-solving to their specific industry and AI focus.
Q5 (Collaboration Style): "How do you typically collaborate with engineers and product managers on complex features? Describe a time you had to navigate disagreements or technical constraints."
- Preparation: Prepare specific anecdotes that showcase your ability to communicate effectively, listen to feedback, and find collaborative solutions. Highlight your understanding of technical feasibility.

Portfolio Presentation Strategy:

Structure: Begin with a high-level overview of your experience and then dive into 2-3 detailed case studies. For each case study, clearly state the problem, your role, the process, your specific contributions, challenges, solutions, and outcomes.
Focus on Process: Emphasize your thinking process, user research methods, and iterative design approach. Don't just show final screens; show the journey.
Quantify Impact: Wherever possible, present metrics that demonstrate the success of your designs (e.g., increased efficiency, reduced errors, higher task completion rates).
Tailor to Qevlar: Highlight any experience or understanding of cybersecurity, complex data, AI, or B2B SaaS. Explain how your skills directly address their needs.
Be Prepared for Questions: Anticipate questions about your design decisions, trade-offs made, and how you would approach specific challenges at Qevlar AI.

📝 Enhancement Note: Interview preparation focuses on anticipating questions specific to AI, cybersecurity, complex data, and design systems, as well as providing strategic advice for portfolio presentation and challenge solving.

📌 Application Steps

To apply for this operations position:

Submit your application through the provided link on the Qevlar AI careers page.
Curate Your Portfolio: Select 2-3 key case studies that best showcase your experience with complex, data-heavy products, intricate workflows, and ideally, technical or AI-driven domains. Ensure each case study clearly outlines the problem, your process, your specific contributions, and the outcomes.
Tailor Your Resume: Highlight experience with B2B SaaS, cybersecurity, AI/ML design, design systems, and user research. Use keywords from the job description such as "complex workflows," "data visualizations," "AI reasoning," and "design systems."
Prepare Your Presentation: Practice presenting your portfolio case studies concisely and engagingly. Be ready to articulate your design decisions, process, and the impact of your work. Prepare to discuss how you would approach designing for trust in AI systems.
Research Qevlar AI: Understand their mission, product, funding, and the challenges within the cybersecurity industry. Think about how your design philosophy aligns with their company values and goals.

⚠️ 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.

Senior Product Designer