Product Design Manager (UX/UI)
š Job Overview
Job Title: Product Design Manager (UX/UI)
Company: Diligent Corporation
Location: Budapest, Hungary
Job Type: Full-Time
Category: Product Design / User Experience
Date Posted: August 12, 2025
Experience Level: Senior / Lead (8+ years)
Remote Status: Hybrid
š Role Summary
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Lead the strategic vision and execution for user experience (UX) and user interface (UI) design across Diligent's comprehensive SaaS product suite.
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Drive the integration of Artificial Intelligence (AI) and machine learning into design processes and product features, ensuring ethical and user-centric application.
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Mentor and manage a team of talented product designers, fostering a culture of innovation, collaboration, and continuous learning within the design discipline.
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Collaborate closely with Product Management, Engineering, and other cross-functional teams to translate complex business requirements and user needs into intuitive and impactful design solutions.
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Champion a robust, data-informed design methodology that emphasizes user research, iterative testing, and the application of AI-enhanced tools for accelerated ideation and validation.
š Enhancement Note: This role is positioned as a leadership opportunity within Product Design, with a strong emphasis on integrating emerging AI technologies into the user experience strategy. The "Manager" title signifies direct team management responsibilities and strategic input into the product roadmap.
š Primary Responsibilities
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Define and continuously evolve the overarching experience strategy for key product areas within Diligent's GRC SaaS platform, with a specific focus on AI-driven insights and personalization.
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Oversee the end-to-end design process for new features and product enhancements, from initial concept and user research through to high-fidelity prototyping, usability testing, and final implementation.
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Lead the design and prototyping of intelligent interfaces, including conversational UI elements, predictive workflows, adaptive layouts, and AI-powered data visualization.
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Champion and implement a rigorous, data-informed design process that incorporates user research, behavioral analysis, and AI-assisted methods for faster synthesis and ideation.
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Conduct and oversee user research activities, including discovery, exploratory, and validation studies, leveraging AI tools for sentiment analysis, behavioral clustering, and automated usability testing insights.
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Effectively communicate design decisions, rationale, and technical feasibility to diverse stakeholders, including executive leadership, Product, Engineering, and Marketing teams.
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Maintain and evolve design systems, ensuring consistency, scalability, and adherence to brand guidelines across all digital touchpoints and platforms.
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Foster a culture of continuous learning and experimentation within the design team, encouraging the exploration and adoption of generative design tools and AI-enhanced prototyping platforms.
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Partner with product teams to monitor product performance post-launch, utilizing AI-powered analytics to identify optimization opportunities and inform future design iterations.
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Manage, mentor, and develop a product design squad, supporting individual career growth, skill development in AI-driven design, and encouraging proactive exploration of new design methodologies.
š Enhancement Note: The responsibilities highlight a blend of strategic leadership, hands-on design management, and a forward-looking approach to incorporating AI into the product design lifecycle. The emphasis on "intelligent interfaces" and "AI-assisted methods" indicates a need for candidates experienced with next-generation design practices.
š Skills & Qualifications
Education:
- Bachelor's or Master's degree in Design (e.g., Interaction Design, Graphic Design, Visual Design), Human-Computer Interaction (HCI), Psychology, Cognitive Science, Technology, or a related field.
Experience:
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A minimum of 8 years of progressive experience in product design, focusing on User Experience (UX) and User Interface (UI) design for digital products.
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At least 2 years of experience in a formal leadership or management role, directly managing and mentoring a team of designers.
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Proven track record of successfully designing and launching complex Software-as-a-Service (SaaS) products, preferably within the B2B enterprise software or GRC (Governance, Risk, and Compliance) domain.
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Demonstrated experience working in a fast-paced, distributed Agile development environment, collaborating closely with Product Managers and Engineers.
Required Skills:
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Deep expertise in User Experience (UX) Design principles and methodologies, with core strengths in Interaction Design, Information Architecture, and User Flows.
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Strong proficiency in User Interface (UI) Design, visual design, and the creation of compelling, intuitive interfaces.
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Proven experience in conducting and leading user research activities, including user interviews, usability testing, surveys, and heuristic evaluations.
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Proficiency with modern design and prototyping tools such as Figma, Sketch, Adobe Creative Suite (e.g., Photoshop, Illustrator, XD), and prototyping tools (e.g., InVision, Principle).
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Familiarity with AI-enhanced design platforms and tools, including but not limited to Uizard, Galileo, RunwayML, or similar AI-powered design assistants.
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Excellent verbal and written communication skills, with the ability to articulate complex design concepts, rationale, and technical feasibility to both design and non-design stakeholders.
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Strong understanding of designing for both web-based and mobile applications, with a solid grasp of responsive and adaptive design principles.
Preferred Skills:
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Experience designing for AI-powered features, including conversational interfaces, predictive analytics visualizations, or personalized user journeys.
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Knowledge of front-end development principles (HTML, CSS, JavaScript) to facilitate better collaboration with engineering teams.
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Experience with design system management and contribution.
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Familiarity with data analysis tools and techniques to interpret user behavior data and A/B testing results.
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Experience in the Governance, Risk, and Compliance (GRC) industry or related enterprise software domains.
š Enhancement Note: The requirement for "AI-integrated features" and familiarity with "AI-enhanced platforms" indicates a need for candidates who are not only skilled in traditional design but are also early adopters and practitioners of AI in their workflow. The portfolio must explicitly demonstrate this.
š Process & Systems Portfolio Requirements
Portfolio Essentials:
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A comprehensive online portfolio (or PDF) is required for consideration, showcasing a range of design projects and demonstrating your design process, leadership impact, and innovative thinking.
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Projects should clearly articulate the problem statement, your role and contributions, the design process followed (including research, ideation, prototyping, and testing), and the final outcomes.
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Include specific examples of how you have led design initiatives, managed design teams, and influenced product strategy.
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Showcase your experience in designing complex SaaS products, highlighting challenges overcome and solutions implemented.
Process Documentation:
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Demonstrate proficiency in documenting and communicating design processes, including user journey mapping, wireframing, prototyping, and user testing protocols.
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Evidence of establishing or refining design workflows within an Agile framework, ensuring efficiency and collaboration.
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Examples of how you have used data analysis and user feedback loops to iteratively improve designs and product experiences.
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Showcase experience in creating and maintaining design artifacts like style guides, component libraries, and design system documentation to ensure consistency and scalability.
š Enhancement Note: The portfolio is a critical component of the application. It must go beyond standard UX/UI work to explicitly demonstrate leadership capabilities and, most importantly, experience with or a strong understanding of AI's role in product design. Candidates should be prepared to discuss specific AI tools and methodologies used.
šµ Compensation & Benefits
Salary Range:
- Based on industry benchmarks for a Product Design Manager with 8+ years of experience and 2+ years in leadership, located in Budapest, Hungary, the estimated annual gross salary range is ā¬55,000 - ā¬80,000.
Benefits:
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Flexible Work Environment: Diligent offers a flexible approach to where and when work gets done, supporting work-life balance.
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Comprehensive Health Benefits: Access to robust health insurance and wellness programs.
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Generous Time Off Policy: Ample paid time off, including vacation, sick leave, and potentially global days of service.
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Wellness Programs: Initiatives and resources to support employee well-being.
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Professional Development: Opportunities for continuous learning, skill enhancement, and career growth, including potential for training in AI and design technologies.
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Global Collaboration: Exposure to international teams and diverse perspectives.
Working Hours:
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Standard full-time working hours are approximately 40 hours per week.
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While a hybrid model is in place, flexibility is offered within the framework of team collaboration and project needs.
š Enhancement Note: Salary is estimated based on comparable roles in Budapest's tech sector. The specific compensation package will be determined by the candidate's experience, qualifications, and alignment with the role's requirements, including AI proficiency.
šÆ Team & Company Context
š¢ Company Culture
Industry: Software as a Service (SaaS), specifically Governance, Risk, and Compliance (GRC). Diligent is a leader in providing AI-driven solutions in this space.
Company Size: Diligent is a significant global entity, with a large employee base and a presence across multiple continents, indicating a well-established, structured, yet innovative corporate environment.
Founded: Diligent has a history of growth and innovation, establishing itself as a key player in the GRC SaaS market. This longevity suggests stability and a commitment to long-term product development.
Team Structure:
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The Product Design team is likely structured around product lines or feature areas, with Design Managers overseeing specific "squads" or product pods.
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This role will report into a Director or VP of Product Design, with direct reports consisting of product designers.
Methodology:
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Diligent emphasizes a data-informed and user-centric approach to product development, augmented by AI capabilities.
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Agile methodologies are standard, requiring iterative development, cross-functional teamwork, and adaptability.
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There's a clear drive towards innovation, particularly in leveraging AI to enhance user experiences and provide actionable insights for GRC professionals.
Company Website: diligent.com
š Enhancement Note: Diligent's focus on AI leadership in the GRC sector shapes its culture, encouraging bold thinking, rapid execution, and continuous learning. The company values employees who are agents of positive change and willing to experiment fearlessly.
š Career & Growth Analysis
Operations Career Level: This is a senior leadership position within the Product Design function. It requires a blend of deep design expertise, strategic thinking, team management, and a forward-looking perspective on integrating emerging technologies like AI.
Reporting Structure: The Product Design Manager will likely report to a Director or VP of Product Design. They will manage a team of Product Designers (UX/UI Designers, Interaction Designers, etc.) within their assigned product area or squad.
Operations Impact: This role has a significant impact on the user experience and adoption of Diligent's core SaaS products. By leading design strategy and fostering innovation, the manager directly influences customer satisfaction, product usability, and the perceived value of Diligent's AI-driven solutions, ultimately contributing to revenue growth and market leadership.
Growth Opportunities:
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Leadership Advancement: Potential to move into Director-level roles, overseeing larger design functions or multiple product areas.
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Specialization in AI Design: Deepen expertise in designing for AI-powered products, becoming a subject matter expert in this rapidly evolving field.
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Cross-Functional Leadership: Opportunities to lead design initiatives that span across multiple product lines or contribute to broader GRC industry innovation.
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Mentorship and Team Building: Develop strong people management skills and build high-performing design teams.
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Industry Influence: Contribute to thought leadership in product design and AI integration within the GRC SaaS space.
š Enhancement Note: The role offers substantial growth potential, particularly for individuals who can successfully navigate and lead in the AI-driven product landscape. Demonstrating expertise in both design leadership and AI integration will be key for career progression within Diligent.
š Work Environment
Office Type: Diligent operates with a hybrid work model, meaning employees will split their time between working remotely and working from a physical Diligent office. This aims to balance flexibility with fostering collaboration and community.
Office Location(s): The role is based in Budapest, Hungary. Diligent has a global network of offices, including hubs in New York, Washington D.C., London, Galway, Munich, Vancouver, Bengaluru, Singapore, and Sydney, indicating a globally connected organization.
Workspace Context:
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The hybrid model necessitates a blend of focused individual work (likely remote) and collaborative team sessions (in-office).
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Expect a dynamic and technology-forward workspace, equipped with the tools and infrastructure necessary for modern design and development.
Work Schedule:
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The standard work schedule is full-time, with an expectation of approximately 40 hours per week.
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The hybrid arrangement allows for some flexibility in scheduling, provided that core collaboration hours and team needs are met.
š Enhancement Note: The hybrid work model, requiring at least 50% in-office time for those within commuting distance, is a key aspect of the work environment. This suggests Diligent values in-person collaboration for innovation and team cohesion.
š Application & Portfolio Review Process
Interview Process:
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Initial Screen: A recruiter or hiring manager will likely conduct an initial screening call to assess basic qualifications, experience, and cultural fit. Be prepared to discuss your leadership experience and your interest in AI-driven design.
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Portfolio Review & Presentation: This is a critical stage. You will be asked to present your portfolio, highlighting key projects that demonstrate your design process, leadership impact, and experience with AI integration. Prepare a concise, compelling narrative for each project.
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Design Challenge/Case Study: Expect a practical exercise, potentially involving critiquing an existing product, designing a new feature, or solving a complex UX problem, possibly with an AI component. This may be a take-home assignment or an in-person/virtual working session.
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Team/Stakeholder Interviews: Interviews with peers (other designers, PMs, engineers) and senior leadership to assess collaboration skills, strategic thinking, and alignment with Diligent's culture and values.
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Final Interview: Typically with a more senior leader (e.g., VP of Product) to finalize the decision.
Portfolio Review Tips:
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Storytelling is Key: Structure your portfolio presentations around compelling narratives that highlight the problem, your process, your unique contributions, and the measurable impact of your work.
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Show, Don't Just Tell: Use visuals, prototypes, and data to illustrate your design decisions and their outcomes.
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Highlight AI Integration: Explicitly call out any projects where you incorporated AI tools, design thinking, or designed AI-powered features. Discuss the challenges and successes of this integration.
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Leadership Examples: Ensure your portfolio clearly demonstrates your ability to lead, mentor, and influence design direction and team performance.
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Tailor to Diligent: Research Diligent's products and GRC industry to tailor your presentation and discuss how your skills can address their specific needs.
Challenge Preparation:
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Understand AI in Design: Familiarize yourself with current trends and tools in AI-assisted design, generative design, and AI-powered product features.
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Practice Design Thinking: Be ready to articulate your approach to problem-solving, user research, and iterative design.
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Communication Clarity: Practice explaining complex design concepts and technical considerations clearly and concisely.
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Data Interpretation: Be prepared to discuss how you use data and analytics to inform design decisions.
š Enhancement Note: The interview process will heavily weigh your ability to present your design process and leadership effectively, with a significant emphasis on your capacity to integrate AI into design strategies and workflows. Demonstrating a proactive approach to learning and applying AI technologies will be crucial.
š Tools & Technology Stack
Primary Tools:
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Design & Prototyping: Figma (highly probable as industry standard), Sketch, Adobe Creative Suite (Photoshop, Illustrator, XD), InVision, Principle, Axure RP.
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AI-Enhanced Design Platforms: Uizard, Galileo AI, RunwayML, Midjourney, or similar AI tools for rapid prototyping, image generation, or UI element creation.
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User Research & Testing: UserTesting.com, Lookback, Maze, Hotjar, SurveyMonkey, Google Forms.
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Collaboration & Project Management: Jira, Confluence, Asana, Trello, Slack, Microsoft Teams.
Analytics & Reporting:
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Web Analytics: Google Analytics.
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Product Analytics: Mixpanel, Amplitude, Pendo.
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Data Visualization/BI Tools: Tableau, Power BI, Looker (for analyzing user behavior data and KPIs).
CRM & Automation:
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CRM: Salesforce (likely, given B2B focus).
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Automation/Integration Tools: Zapier, Workato (for understanding system integrations and workflows).
š Enhancement Note: Proficiency in leading design tools like Figma is essential. Familiarity with AI-specific design tools is a significant differentiator. Experience with product analytics platforms is also highly valued for data-informed decision-making.
š„ Team Culture & Values
Operations Values:
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Innovation & Bold Thinking: Diligent encourages employees to think boldly and experiment, particularly with new technologies like AI.
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Collaboration & Community: A strong emphasis on teamwork, cross-functional partnerships, and building a supportive global community.
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Agility & Speed: Adapting quickly to change and moving fast to deliver value in a dynamic market.
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Continuous Learning: A commitment to staying curious, learning new skills, and embracing change as an opportunity.
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Impact & Purpose: A mission-driven culture focused on making a positive impact through governance, risk, and compliance solutions.
Collaboration Style:
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Cross-functional Integration: Designers work closely with Product Managers and Engineers in an Agile, squad-based environment.
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Data-Driven Decision Making: Collaboration is informed by user research, data analytics, and AI-driven insights.
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Feedback Culture: Openness to feedback and iterative improvement is encouraged across teams.
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Knowledge Sharing: Practices that promote sharing best practices, learnings, and new techniques, especially concerning AI in design.
š Enhancement Note: The company culture is geared towards forward-thinking individuals who are comfortable with rapid change, embrace AI, and collaborate effectively across diverse teams to drive innovation.
ā” Challenges & Growth Opportunities
Challenges:
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Integrating AI Ethically and Effectively: Navigating the complexities of designing for AI, ensuring ethical considerations, data privacy, and genuine user value are prioritized.
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Managing Cross-Functional Dependencies: Collaborating effectively with Product, Engineering, and other departments in a hybrid environment to ensure seamless product development.
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Balancing Innovation with Scalability: Introducing new AI-driven features while maintaining consistency and scalability across a complex product suite.
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Adapting to Rapid Technological Change: Staying ahead of the curve in AI and design technology advancements to keep Diligent's products competitive.
Learning & Development Opportunities:
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AI Design Specialization: Access to training, workshops, and resources focused on the latest advancements in AI for design.
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Leadership Development: Opportunities to hone management skills, mentor junior designers, and potentially take on larger strategic responsibilities.
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Industry Conferences & Certifications: Support for attending relevant design and technology conferences, and obtaining certifications in areas like UX research or AI.
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Exposure to GRC Domain: Deepen understanding of the Governance, Risk, and Compliance industry, providing valuable context for design decisions.
š Enhancement Note: The primary challenge revolves around the effective and ethical integration of AI into design. Growth opportunities are significant for those who embrace this challenge and proactively develop expertise in AI-driven product design and leadership.
š” Interview Preparation
Strategy Questions:
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"How would you approach defining the experience strategy for a complex SaaS product that is integrating AI-driven personalization features?"
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"Describe a time you led a design team through a significant product change or the adoption of a new technology like AI. What were the key challenges and how did you overcome them?"
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"How do you balance user needs, business objectives, and technical feasibility when designing AI-powered features? What process do you follow?"
Company & Culture Questions:
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"What interests you about Diligent's mission and its position as an AI leader in the GRC space?"
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"How do you contribute to a collaborative team environment, especially within a hybrid work model?"
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"How do you stay updated on the latest trends in UX design and AI technology?"
Portfolio Presentation Strategy:
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Structure: Begin with a high-level overview of Diligent and the role's strategic importance. For each portfolio piece, clearly state the project goal, your specific role and contributions, the challenges faced, your design process (emphasizing research and AI integration), key decisions made, and the measurable outcomes or impact.
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AI Focus: Dedicate specific slides or talking points to any AI-related aspects of your projects. Discuss the tools used, the rationale for AI integration, and the user benefits derived.
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Leadership Examples: Weave in examples of your leadership, mentorship, and strategic influence throughout your presentation.
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Q&A Readiness: Prepare for in-depth questions about your design decisions, your leadership approach, and your understanding of AI's role in product design.
š Enhancement Note: Be prepared to articulate your design philosophy, leadership style, and your vision for AI's role in shaping user experiences. Demonstrating a proactive, learning-oriented mindset will be key.
š Application Steps
To apply for this Product Design Manager position:
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Submit your application through the provided link on the Greenhouse job portal.
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Tailor Your Resume: Highlight your 8+ years of product design experience, specifically mentioning your leadership roles, experience with complex SaaS products, and any exposure to AI-driven design or AI tools. Quantify achievements where possible.
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Curate Your Portfolio: Ensure your portfolio is polished, easily navigable, and prominently features projects demonstrating your design process, leadership impact, and, critically, your experience or understanding of AI in design. Prepare a concise verbal presentation for portfolio review.
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Research Diligent: Understand Diligent's products, their AI strategy, and their position in the GRC market. This will help you tailor your application and prepare for interview questions.
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Prepare for AI Discussions: Be ready to discuss your thoughts on AI in design, the tools you've used or are interested in, and how you envision applying them at Diligent.
ā ļø 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 should have 8+ years of product design experience, including 2 years in a leadership role. A degree in Design, Technology, Psychology, HCI, or equivalent experience is required, along with expertise in designing complex SaaS products.