Senior Product Designer
π Job Overview
Job Title: Senior Product Designer
Company: Netwrix Corporation
Location: KrakΓ³w, Poland
Job Type: SALARIED_FT (Full-Time)
Category: Product Design / UX/UI
Date Posted: 2026-06-05
Experience Level: Senior (5-8 years)
Remote Status: On-site
π Role Summary
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Owns the end-to-end product design lifecycle for the Access Analyzer product, from initial discovery through to shipped UI.
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Translates complex enterprise security workflows into intuitive and user-friendly experiences.
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Conducts and synthesizes UX research, including user interviews, usability testing, and contextual inquiries.
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Collaborates closely with product managers and engineers, integrating AI tooling into the design process.
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Contributes to the team's design critique sessions and maintains design system consistency.
π Enhancement Note: This role is specifically for a Senior Product Designer focused on enterprise B2B SaaS products, with a strong emphasis on AI-native design practices using specific tools like Claude Design and Claude Code, alongside Figma. The role requires significant ownership and a research-first mindset within the cybersecurity domain.
π Primary Responsibilities
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Lead the complete design process for Access Analyzer, from problem definition and user research to final UI delivery.
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Conduct in-depth user research (interviews, usability testing, contextual inquiry) and synthesize findings to inform product strategy and roadmap decisions.
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Partner with Product Management to define user problems, validate hypotheses, and prioritize features based on user insights.
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Develop clear, intuitive user interfaces for complex enterprise security workflows, ensuring a seamless user experience.
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Collaborate daily with engineering teams, providing detailed design specifications and ensuring smooth handoffs for implementation.
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Leverage AI tools (Claude Design, Claude Code) extensively for discovery synthesis, generative ideation, prototyping, research interpretation, and documentation.
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Contribute to the team's design critique sessions, providing and receiving constructive feedback to uphold high design quality standards.
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Maintain and contribute to the shared component patterns and design system, ensuring consistency and documenting components.
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Act as a resource for teammates, sharing expertise in AI tooling and best practices for AI-assisted design workflows.
π Enhancement Note: The responsibilities highlight a highly integrated role where AI tooling is not experimental but a core part of the workflow. The emphasis on "owning" the design function for a specific product suggests a need for strong autonomy, strategic thinking, and the ability to drive initiatives from conception to completion with minimal supervision.
π Skills & Qualifications
Education: [Not specified, but a Bachelor's or Master's degree in Design, HCI, Computer Science, or a related field is typical for a Senior role. A strong portfolio can often substitute for formal education.]
Experience:
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5-8 years of professional product design experience, with a focus on enterprise or B2B SaaS products.
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Proven track record of owning end-to-end design projects from discovery to delivery.
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Demonstrated experience in conducting and synthesizing UX research. Required Skills:
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Product Design: Expertise in the full product design lifecycle, including user research, wireframing, prototyping, and visual design.
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UX Research: Strong capabilities in conducting user interviews, usability testing, contextual inquiry, and synthesizing findings into actionable insights.
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AI Fluency: Genuine and demonstrable proficiency in using AI tools for design, specifically Claude Design and Claude Code, integrated into daily workflows.
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Figma Proficiency: Advanced skills in Figma for design, prototyping, and collaboration.
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Engineering Comfort: Ability to work closely with engineers, understand component logic, and produce clear, effective design specifications.
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Clear Communication: Excellent verbal and written communication skills, with the ability to articulate design decisions and rationale concisely and effectively.
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Problem Solving: Ability to tackle complex problems in the enterprise security domain and translate them into user-centric solutions.
Preferred Skills:
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Experience in the cybersecurity, identity management, or compliance software domains.
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Familiarity with design system governance, contribution, and component documentation.
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Experience presenting design concepts and recommendations to non-design stakeholders and influencing product decisions.
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Experience with generative ideation and AI-assisted prototyping techniques.
π Enhancement Note: The emphasis on "genuine AI fluency" and "Hands-on Claude Code experience" is a critical differentiator. Candidates should be prepared to showcase how they've practically applied these AI tools in their design process, not just theoretically. The requirement for "Engineering comfort" suggests a need for understanding technical constraints and possibilities.
π Process & Systems Portfolio Requirements
Portfolio Essentials:
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Showcase end-to-end design projects for enterprise or B2B SaaS products, highlighting your role and impact.
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Include case studies that demonstrate your UX research process, problem-solving approach, and the rationale behind design decisions.
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Present polished UI designs alongside the iterative process and user insights that led to them.
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Clearly articulate how AI tools (Claude Design, Claude Code) were integrated into your workflow for specific projects, detailing the benefits and outcomes.
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Demonstrate proficiency in Figma, including wireframes, prototypes, and final UI mockups.
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Include examples of collaboration with product managers and engineers, showing how you translated complex requirements into design solutions. Process Documentation:
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For each portfolio project, outline the discovery and research phase, including methodologies used and key findings.
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Detail the design iteration process, showcasing how feedback (user, stakeholder, or AI-generated) was incorporated.
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Document the handoff process to engineering, including specifications, component documentation, and any design system contributions.
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If applicable, include examples of how AI tools were used for research synthesis, ideation, or prototype generation, and the resulting impact on efficiency or design quality.
π Enhancement Note: The portfolio is critical for this role, especially for demonstrating AI integration. Candidates should prepare specific case studies that explicitly detail the use of Claude Design and Claude Code, along with Figma, showcasing both the final output and the AI-augmented process. Focus on demonstrating how AI enhanced research synthesis, ideation, or prototype development.
π΅ Compensation & Benefits
Salary Range:
Based on industry benchmarks for Senior Product Designers in KrakΓ³w, Poland, with 5-8 years of experience in B2B SaaS and specialized AI skills, a competitive salary range would likely be between PLN 12,000 and PLN 18,000 gross per month. This estimate accounts for the senior level, the specific technical demands (AI fluency), and the cost of living in KrakΓ³w.
Benefits:
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Competitive Health Benefits: Comprehensive health insurance packages to support employee well-being.
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Continuous Learning and Development Opportunities: Access to training, courses, workshops, and potentially conference attendance to foster skill enhancement.
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Team-Oriented, Collaborative, and Innovative Work Environment: A culture that encourages teamwork, idea sharing, and embracing new technologies and approaches.
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Regular Company Town Halls: Opportunities to stay informed about company strategy, performance, and future direction.
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Opportunities for Career Growth and Advancement: Clear pathways for professional development and progression within the design team or the wider organization.
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AI Tooling Access: Provision of necessary AI tools (Claude Design, Claude Code) and Figma licenses.
Working Hours:
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Standard full-time hours, likely around 40 hours per week.
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The role is on-site, implying a need for regular office presence.
π Enhancement Note: The salary range is an estimate based on general market data for senior design roles in a major Polish city. Actual compensation will depend on the candidate's specific experience, skills, and the company's compensation strategy. The benefits listed are standard for a tech company and are enhanced by the specific mention of AI tooling access as a provided resource.
π― Team & Company Context
π’ Company Culture
Industry: Software (Cybersecurity, Compliance, Identity Management)
Netwrix operates within the cybersecurity and compliance software sector, providing solutions that help organizations secure their IT environments and meet regulatory requirements. This context means the products deal with sensitive data and complex security protocols, demanding a high level of precision, trust, and user-centric design to effectively manage these critical functions.
Company Size: [Not specified, but based on the job description mentioning a "small, senior" design team and "thousands of organizations" as customers, Netwrix is likely a mid-to-large sized software company.]
A mid-to-large company size suggests established processes and a structured environment, but the "small, senior" design team implies an agile, high-impact unit within that structure. This balance can offer both stability and the opportunity to make a significant individual contribution.
Founded: [Not specified, but the company was founded in 2006.]
Founded in 2006, Netwrix has over a decade of experience in the cybersecurity market, indicating a mature organization with a solid understanding of its customer base and industry challenges. This history suggests a stable foundation for innovation and growth.
Team Structure:
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Design Team: Described as "small, senior, and directly influential." This indicates a flat hierarchy within the design function, where senior designers are empowered and expected to lead.
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Reporting Structure: The Senior Product Designer will report directly to the Director of Product Design.
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Cross-functional Collaboration: Close collaboration is expected with product managers and engineers who are embedded within the Access Analyzer product area. This agile, embedded team structure is common in modern tech companies.
Methodology:
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Research-First Mindset: Emphasis on understanding users and problems before designing solutions.
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AI-Native Practice: Integration of AI tools (Claude Design, Claude Code) across all stages of the design process, from discovery synthesis to prototyping and documentation.
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Agile Development: Implicitly, the close collaboration with engineering suggests an agile development methodology.
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Design System Contribution: Standard practice includes contributing to shared component patterns and design systems.
Company Website: https://www.netwrix.com/
π Enhancement Note: The company's focus on cybersecurity and compliance implies a need for designers who can handle complexity, understand data security, and design for professional users who are often under pressure. The emphasis on AI as a core tool suggests a forward-thinking company that values technological adoption and efficiency.
π Career & Growth Analysis
Operations Career Level: Senior Product Designer
This level signifies a seasoned professional with significant autonomy and responsibility. A Senior Product Designer is expected to lead design initiatives, mentor junior designers (though this team is described as senior), and influence product strategy. They are key individual contributors who drive complex projects and are trusted advisors to product and engineering teams.
Reporting Structure:
Reports directly to the Director of Product Design. This provides a clear line of mentorship and strategic alignment within the design discipline. Collaboration is also expected to be very close with embedded Product Managers and Engineering Leads for the Access Analyzer product.
Operations Impact:
The Senior Product Designer's impact is directly tied to the user experience and adoption of the Access Analyzer product. By translating complex security workflows into intuitive designs, they directly influence user efficiency, satisfaction, and ultimately, the product's success in the market. Their research insights also shape product strategy and roadmap decisions, impacting the company's overall direction in the cybersecurity domain.
Growth Opportunities:
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Specialization: Deepen expertise in cybersecurity product design and advanced AI-driven design methodologies.
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Leadership: Potential to move into Lead Product Designer roles, managing specific product areas or mentoring other designers as the team grows.
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Cross-Functional Influence: Greater involvement in product strategy, roadmap planning, and influencing business decisions based on user insights.
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Skill Development: Continuous learning and application of cutting-edge AI tooling and design techniques.
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Design System Stewardship: Taking on more responsibility for the governance and evolution of the design system.
π Enhancement Note: The role offers significant growth potential within a specialized, high-impact area. The emphasis on AI and enterprise SaaS means that developing expertise here can lead to highly sought-after skills in the B2B tech market.
π Work Environment
Office Type: On-site
The role is explicitly stated as "On-site," meaning the designer will be expected to work from the Netwrix office in KrakΓ³w, Poland. This suggests a preference for in-person collaboration, team synergy, and access to office resources.
Office Location(s): KrakΓ³w, Poland
This location offers a vibrant tech hub environment with access to talent and a good quality of life.
Workspace Context:
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Collaborative Environment: The team is described as "small, senior, and directly influential," fostering a collaborative atmosphere where ideas are shared freely. The mention of "team-oriented" culture reinforces this.
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Tools and Technology: Access to industry-standard design tools like Figma, and specifically mandated AI tools like Claude Design and Claude Code, will be provided and are central to the workflow.
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Team Interaction: Regular design critiques, close collaboration with PM and Engineering, and direct reporting to the Director of Product Design create multiple avenues for interaction and feedback.
Work Schedule:
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Standard full-time work hours (approx. 40 hours/week).
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As an on-site role, adherence to office hours is expected, but the nature of product design often allows for some flexibility in managing one's own schedule within the workday to meet project deadlines.
π Enhancement Note: The on-site requirement is a key factor. Candidates should be prepared for a traditional office-based work environment, which the company frames as conducive to collaboration and innovation, especially with the embedded product teams.
π Application & Portfolio Review Process
Interview Process:
The interview process is likely to be multi-stage and designed to assess design skills, research acumen, AI fluency, and cultural fit.
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Initial Screening: A conversation with a recruiter to assess basic qualifications, experience, and alignment with the role's core requirements, particularly AI fluency.
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Hiring Manager Interview: Discussion with the Director of Product Design to delve deeper into experience, design philosophy, and approach to AI-assisted design.
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Portfolio Review & Design Challenge: A session where candidates present their portfolio, focusing on specific projects that demonstrate their skills, research capabilities, and AI tool usage. This may also include a take-home design challenge or an on-the-spot problem-solving exercise relevant to enterprise security UX.
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Cross-Functional Interviews: Meetings with Product Managers and Engineering Leads to assess collaboration skills, communication clarity, and ability to work within an agile team.
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Final Interview: Potentially with a senior leader or another key stakeholder to make a final assessment.
Portfolio Review Tips:
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Highlight AI Integration: Dedicate sections or specific case studies to showcase how you've used Claude Design, Claude Code, and other AI tools. Detail the specific prompts, the AI's output, and how you refined it to achieve the final design.
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Demonstrate Research Rigor: Clearly articulate your UX research process, from planning and recruitment to analysis and synthesis. Show how research findings directly influenced your design decisions.
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Showcase End-to-End Ownership: Present projects that illustrate your involvement from initial problem framing through to final implementation and iteration.
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Complex Problem Solving: Focus on projects that tackle complex B2B/enterprise challenges, demonstrating your ability to simplify intricate workflows.
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Figma Mastery: Be ready to walk through your Figma files, demonstrating your organizational skills, prototyping capabilities, and component usage.
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Storytelling: Frame your projects as narratives: the problem, your approach, the challenges, the solutions, and the impact.
Challenge Preparation:
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Anticipate AI-Focused Tasks: Be prepared for design challenges that may involve leveraging AI tools for ideation, synthesis, or even initial prototyping.
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Enterprise UX Scenarios: Practice designing for complex data visualization, workflow management, and security-related interfaces.
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Communication Clarity: Rehearse explaining your design process and decisions concisely, especially how AI contributed and how you validated its output.
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Technical Understanding: Be ready to discuss technical constraints and possibilities with engineers, showcasing your "engineering comfort."
π Enhancement Note: The interview process is heavily geared towards assessing practical AI application. Candidates should have specific examples and be ready to articulate their AI workflow in detail during the portfolio review and any subsequent challenges.
π Tools & Technology Stack
Primary Tools:
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Figma: The core tool for design, prototyping, and collaboration. Proficiency is a must-have.
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Claude Design: A key AI tool for design tasks, expected to be used fluently.
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Claude Code: An AI tool for code-related design tasks, also expected to be used fluently.
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AI-Assisted Workflows: The company emphasizes using AI throughout the process, implying other AI tools or platforms might be integrated.
Analytics & Reporting:
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While not explicitly listed, typical product design roles in SaaS companies would involve using analytics platforms (e.g., Google Analytics, Mixpanel, Amplitude) to understand user behavior and measure the impact of designs.
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Tools for data visualization and reporting may be used to present research findings and design impact to stakeholders. CRM & Automation:
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Not directly applicable to the designer's primary tools, but understanding how designs integrate with CRM systems or automated workflows within the product is beneficial for B2B SaaS design.
π Enhancement Note: The explicit mention of Figma, Claude Design, and Claude Code as primary tools is critical. Candidates must be able to demonstrate hands-on experience and comfort with these specific technologies.
π₯ Team Culture & Values
Operations Values:
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Next-Level Customer Focus: Prioritizing customer needs and success in all design decisions.
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Excellence: Striving for high standards in design quality and delivery.
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Transparent Ownership: Taking responsibility for work, communicating openly, and addressing challenges directly.
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Winning with Clear Thinking: Valuing clarity, straightforward solutions, and decisive action.
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Relentless Innovation: Embracing new approaches, including AI, to improve products and customer experiences.
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Industry-Leading Expertise: Valuing deep knowledge in cybersecurity and design, and a commitment to continuous learning.
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eXceptional Together: Emphasizing collaboration, diverse perspectives, and mutual support.
Collaboration Style:
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Small, Senior Team: Implies a highly collaborative environment among experienced professionals, with mutual respect and constructive critique.
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Embedded Cross-Functional Teams: Works closely with Product Managers and Engineers, fostering a shared understanding and ownership of product goals.
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Direct Communication: Emphasizes clear, direct communication, minimizing ambiguity and ensuring efficient teamwork.
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Design Critique Culture: Regular participation in design critiques is a key aspect of the collaborative process, ensuring quality and shared learning.
π Enhancement Note: The company's values are strongly aligned with a professional, high-performance culture. The emphasis on "Relentless Innovation" and "eXceptional Together" directly supports the company's focus on AI-native practices and collaborative team dynamics.
β‘ Challenges & Growth Opportunities
Challenges:
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Translating Complexity: The primary challenge is translating intricate enterprise security workflows and compliance requirements into simple, intuitive user experiences.
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AI Integration Nuances: Effectively leveraging AI tools while maintaining design integrity, user control, and ethical considerations. Understanding where AI enhances and where it might hinder user experience.
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Balancing Innovation with Stability: Introducing new AI-driven design practices while ensuring the stability and reliability of critical enterprise software.
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Cross-Functional Alignment: Ensuring consistent understanding and alignment on design vision and execution across Product Management and Engineering, especially with AI-augmented workflows.
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Navigating Enterprise UX Norms: Designing for sophisticated users who may have established workflows and expectations, while also pushing the boundaries with innovative AI features.
Learning & Development Opportunities:
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AI Design Specialization: Becoming a leader in AI-native product design, a rapidly evolving and highly in-demand field.
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Cybersecurity Domain Expertise: Deepening understanding of security and compliance product landscapes.
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Advanced Design System Contributions: Taking on more responsibility for the strategic direction and governance of the design system.
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Mentorship and Leadership: Opportunities to guide and mentor other designers within a senior-led team.
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Industry Conferences & Training: Access to resources for continuous learning in design, AI, and cybersecurity.
π Enhancement Note: The challenges presented are inherent to working with cutting-edge technology in a complex domain. The growth opportunities are significant for professionals looking to specialize in AI-driven product design within the enterprise B2B SaaS space.
π‘ Interview Preparation
Strategy Questions:
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"Describe a time you used AI tools to significantly accelerate your design process. What was the outcome?" (Focus on Claude Design/Code, specifics of prompts, synthesis, or generative ideation.)
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"How do you approach user research for complex enterprise software where users might be highly technical or risk-averse?" (Highlight methods like contextual inquiry, expert interviews, and validating hypotheses.)
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"Walk us through an end-to-end product design project from your portfolio. Explain the problem, your research, your design decisions, and how you collaborated with engineering." (Be ready to deep-dive into your process and rationale.)
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"How do you balance the need for intuitive design with the complexity of enterprise security features?" (Discuss trade-offs, user segmentation, and progressive disclosure.)
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"What are your thoughts on the ethical implications of AI in product design, especially within the cybersecurity context?" (Demonstrate critical thinking beyond just tool usage.) Company & Culture Questions:
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"What interests you about Netwrix and our mission in cybersecurity?" (Research company values, products, and recent news.)
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"How do you see the role of AI evolving in product design over the next 3-5 years?" (Show forward-thinking perspective.)
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"Describe your ideal collaboration with Product Managers and Engineers." (Emphasize communication, shared ownership, and feedback loops.)
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"How do you contribute to team culture and maintain a high bar for design quality?" (Discuss critique sessions, mentorship, and constructive feedback.) Portfolio Presentation Strategy:
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AI Integration Showcase: Dedicate specific slides or sections to demonstrate your AI workflow. For example, "AI-Assisted Discovery Synthesis" or "Generative Ideation with Claude Code." Detail the prompts, AI outputs, and your refinement process.
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Problem-Solution Narrative: Structure each case study with a clear problem statement, your research-driven approach, key design decisions, and measurable outcomes.
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Visual Clarity: Use high-quality visuals, clear annotations, and concise explanations. Ensure your Figma proficiency is evident in the organization and presentation of your work.
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Interactive Demos: If possible, prepare live Figma prototype walkthroughs or short video demos of key interactions.
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Focus on Impact: Quantify results where possible (e.g., improved task completion time, reduced errors, increased user satisfaction metrics) and explain the business impact.
π Enhancement Note: Candidates should prepare specific, detailed examples for every question, particularly those related to AI tool usage. The interview process will likely assess not just if you use AI, but how effectively and thoughtfully you integrate it.
π Application Steps
To apply for this Senior Product Designer position:
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Submit your application through the provided link on the Netwrix Corporation careers page.
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Tailor your resume: Highlight experience with enterprise/B2B SaaS products, UX research methodologies, and specific AI tools like Claude Design and Claude Code. Quantify achievements where possible.
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Curate your portfolio: Prepare a presentation that clearly showcases 2-3 end-to-end projects, emphasizing your AI integration workflow, research process, and problem-solving skills. Be ready to walk through your Figma files.
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Practice your pitch: Rehearse explaining your portfolio projects and answering strategy questions, focusing on clarity, conciseness, and demonstrating your AI fluency and engineering comfort.
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Research Netwrix: Understand their products, company values, and mission in the cybersecurity space to articulate your interest and cultural fit.
β οΈ Important Notice: This enhanced job description includes AI-generated insights and operations industry-standard assumptions. All details should be verified directly with the hiring organization before making application decisions.
Application Requirements
Candidates must have 5-8 years of product design experience, strong UX research skills, and genuine fluency in AI tools. Experience with enterprise or B2B SaaS products and comfort working with engineers is also required.