UX Designer
📍 Job Overview
Job Title: UX Designer
Company: Predikt
Location: Leuven, Flanders, Belgium (Hybrid)
Job Type: Full-Time
Category: Product Design / User Experience
Date Posted: 2026-08-13
Experience Level: 5-10 Years
🚀 Role Summary
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Lead end-to-end UX design for complex, enterprise-grade B2B SaaS products, focusing on translating dense workflows into clear, efficient user interfaces.
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Drive product design from initial user conversations and research through to engineering delivery, ensuring a seamless and intuitive user experience for expert users.
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Leverage AI tools as a practical working methodology to enhance design speed and efficiency while maintaining rigorous quality control and ownership of all outputs.
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Collaborate closely within a small, cross-functional product team, working hands-on with Product and Engineering to ensure designs are well-defined, validated, and ready for implementation.
📝 Enhancement Note: This role is positioned as a senior individual contributor within a lean startup environment. The emphasis on "owning design end-to-end" and working "close to the front-end" suggests a hands-on role where the designer is deeply involved in both strategic problem-solving and tactical execution, rather than solely overseeing a team or managing external agencies. The AI fluency requirement highlights a forward-thinking approach to design tooling and workflow optimization.
📈 Primary Responsibilities
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End-to-End Design Ownership: Take full responsibility for the UX design of complex product areas, encompassing problem validation, user research, interaction design, information architecture, prototyping, usability testing, and final delivery to the engineering team.
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User Research & Workshop Facilitation: Independently plan and conduct user research activities, including interviews, usability testing, journey mapping, and card sorting, to gather insights and translate them into actionable design decisions.
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Complex Workflow Design: Design robust information architectures, user flows, and detailed prototypes that account for edge cases and error states, ensuring a comprehensive and reliable user experience beyond the "happy path."
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High-Fidelity Design & Prototyping: Create build-ready, high-fidelity mock-ups and realistic prototypes using UI component libraries and front-end code (e.g., in Figma), ensuring consistency with the design system and accurate representation of product behavior.
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Product Backlog Contribution: Collaborate with Product Management to draft work items, including edge cases and error states, for the flows designed, ensuring designs are unambiguous and clearly understood for backlog grooming and development.
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Design System Contribution: Actively contribute to and maintain the design system under the guidance of the Design Lead, ensuring visual consistency and seamless integration between design and code.
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AI Integration in Workflow: Proactively integrate AI tools (e.g., Claude Code, ChatGPT, Copilot) into the design workflow to accelerate processes, while maintaining critical oversight and verification of all AI-generated outputs.
📝 Enhancement Note: The responsibilities emphasize a high degree of autonomy and ownership, typical of senior roles in early-stage startups. The detailed breakdown of responsibilities, from research planning to drafting work items, indicates that the designer will be a key player in defining product direction and ensuring design quality through to implementation. The explicit mention of working "close to the front-end" and using "production code to build realistic prototypes" suggests a need for a designer who understands or can work effectively with the technical constraints and possibilities of web development.
🎓 Skills & Qualifications
Education: While no specific degree is mandated, a strong portfolio demonstrating equivalent practical experience and mastery of UX design principles is paramount.
Experience: Minimum of 5 years of professional experience in designing complex, end-to-end B2B/enterprise SaaS products.
Required Skills:
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End-to-End UX Design: Proven ability to manage the entire design lifecycle from problem validation through to engineering delivery.
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User Research (Qualitative & Quantitative): Expertise in conducting and interpreting user research, including interviews, usability testing, journey mapping, and card sorting.
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Interaction Design & Information Architecture: Strong skills in designing intuitive user interactions and organizing complex information logically.
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Prototyping & Wireframing: Proficiency in creating detailed wireframes and interactive prototypes using tools like Figma.
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High-Fidelity UI Design: Ability to produce polished, build-ready UI mock-ups that adhere to design systems and specify states and edge cases.
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Figma Proficiency: Advanced skills in using Figma for design, prototyping, and collaboration.
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Design System Contribution: Experience working with and contributing to established design systems, understanding design tokens and their connection to code.
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AI Tool Fluency: Demonstrated experience integrating AI tools (e.g., Claude Code, ChatGPT, Copilot) into daily design workflows and understanding their practical applications and limitations.
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Ownership & Accountability: A strong sense of ownership, proactive risk identification, clear documentation, and constructive response to feedback.
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Collaboration: Ability to work effectively within cross-functional product teams, liaising closely with Product and Engineering.
Preferred Skills:
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Experience within a Procurement or Finance environment.
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Experience writing User Stories or Acceptance Criteria within an Agile development framework.
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Understanding of how design tokens connect design and code implementation.
📝 Enhancement Note: The requirements highlight a blend of deep craft skills and a modern, agile approach to design. The emphasis on "you run your own research" and "high-fidelity UI work you produce yourself" differentiates this role from purely managerial or conceptual design positions. The AI fluency is a critical differentiator, suggesting the company values efficiency gains from technology.
📊 Process & Systems Portfolio Requirements
Portfolio Essentials:
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End-to-End Case Studies: Showcase 2-3 detailed case studies demonstrating your ownership of complex B2B SaaS product design challenges from inception to delivery.
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Problem Framing & Validation: Clearly articulate the user problems identified and the research methods used to validate them.
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Design Process Documentation: Illustrate your design process, including user flows, information architecture, wireframes, and high-fidelity mock-ups, with explanations of key decisions.
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Prototyping & Interaction: Provide examples of interactive prototypes, ideally showcasing realistic behavior and edge cases, demonstrating your comfort working close to front-end implementation.
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UI Design & System Consistency: Highlight your UI design skills and how your work maintained consistency with an existing design system or contributed to its evolution.
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AI Integration Examples: Where possible, showcase how AI tools were used to enhance your design process or output, with a clear explanation of your role in verifying and refining the results.
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Impact & Outcomes: Quantify the impact of your designs where possible, focusing on user experience improvements, efficiency gains, or business outcomes.
Process Documentation:
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Workflow Design & Optimization: Demonstrate your ability to map complex real-world workflows and design streamlined, efficient digital interfaces.
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User-Centric Design Decisions: Provide evidence of how user research and feedback directly influenced your design decisions and iterations.
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Engineering Handoff Clarity: Show examples of how you prepared designs and specifications for engineering, ensuring clarity on states, edge cases, and intended behavior.
📝 Enhancement Note: The portfolio requirements are geared towards demonstrating a comprehensive and practical approach to UX design within a B2B context. The emphasis on "end-to-end ownership," "complex product areas," and "realistic prototypes" means candidates need to present detailed, evidence-based case studies that go beyond superficial visual design. The inclusion of AI integration as a potential portfolio element signals a desire for candidates who are forward-thinking in their tool usage.
💵 Compensation & Benefits
Salary Range:
Based on the role's requirements (5+ years of experience, complex B2B SaaS design, AI fluency, ownership), the typical salary range for a Senior UX Designer in Leuven, Belgium, with a hybrid work arrangement, would likely fall between €60,000 and €85,000 per year. This estimate is based on industry benchmarks for experienced UX professionals in Western Europe, considering the cost of living and the specialized skills required.
Benefits:
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Flexibility: Hybrid work model offering a balance between on-site collaboration in Leuven and remote work.
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Early-Stage Startup Environment: Opportunity to be a foundational member of a rapidly growing deeptech company with significant potential for impact.
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Equity Package: Potential for a stock option package, aligning personal success with the company's growth and financial performance.
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Bring Your Own Device (BYOD): Freedom to use personal, preferred hardware for work, enhancing comfort and productivity.
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Off-Site Events: Team-building and relaxation opportunities through off-site events, including trips to the Swiss Alps.
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Radical Transparency Culture: Work in an environment that values open communication, honesty, and shared understanding.
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Comprehensive Benefits: Competitive salary and a robust benefits package designed to support employees and their families.
Working Hours:
The standard working hours are likely around 40 hours per week, typical for full-time roles in Belgium. The hybrid model offers flexibility in how and where these hours are distributed, balancing structured work time with personal needs.
📝 Enhancement Note: The salary estimate is a benchmark for a senior-level UX Designer in Belgium. Actual compensation will depend on the candidate's specific experience, negotiation skills, and the company's compensation philosophy. The benefits package highlights the startup appeal, offering growth potential, unique experiences, and a strong emphasis on culture.
🎯 Team & Company Context
🏢 Company Culture
Industry: Deeptech / AI-driven Enterprise Software (Procurement & Finance Intelligence). Predikt operates at the intersection of cutting-edge AI technology and critical enterprise functions, aiming to disrupt traditional procurement and finance operations with intelligent cost and margin insights. This sector is characterized by rapid innovation, a focus on data-driven solutions, and a high degree of technical sophistication.
Company Size: Early-stage startup. This implies a lean, agile, and fast-paced environment where roles can be broad, and individual contributions have a significant impact. Team members often wear multiple hats, and there's a strong emphasis on collaboration and shared ownership.
Founded: The company is described as an early-stage startup, suggesting a recent founding date and a focus on rapid growth and product development. This often translates to a dynamic, entrepreneurial culture.
Team Structure:
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Small, Cross-Functional Product Team: The UX Designer will be part of a compact team comprising Product, Engineering, and Design. This structure fosters close collaboration and direct communication.
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Reporting to Design Lead: While working within a cross-functional team, the designer will likely report to a Design Lead for guidance on craft, design system, and overall design strategy.
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Close Collaboration with Product & Engineering: The role necessitates tight integration with Product Managers for defining requirements and with Engineers for seamless implementation, ensuring designs are technically feasible and meet user needs.
Methodology:
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Evidence-Led Design: Decisions are driven by user research, data, and stakeholder input, emphasizing a pragmatic and analytical approach.
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Agile Development: The team likely operates within an Agile framework, requiring iterative design, quick feedback loops, and adaptability.
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AI as a Practical Tool: AI is integrated into the workflow to enhance efficiency, suggesting an embrace of modern technology for productivity gains.
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Customer-Centric Approach: A strong focus on delivering exceptional value and service to enterprise clients, ensuring the product solves real-world problems effectively.
Company Website: https://predikt.ai/
📝 Enhancement Note: Predikt's focus on "deeptech" and "AI-driven cost & margin intelligence" positions it in a high-growth, specialized market. The early-stage startup context is crucial for understanding the role's dynamics – expect rapid iteration, broad responsibilities, and a strong emphasis on individual initiative and impact. The "radical transparency" value is a key cultural indicator.
📈 Career & Growth Analysis
Operations Career Level: This role represents a Senior Individual Contributor position within the Product Design function. It's a hands-on role focused on deep craft and execution, requiring significant autonomy. The responsibilities extend beyond typical UI design to include strategic problem-solving, user research leadership, and close collaboration with product and engineering.
Reporting Structure: The UX Designer will work within a small, cross-functional product team. While they will collaborate closely with Product and Engineering, their design craft and career development will likely be guided by a Design Lead.
Operations Impact: The UX Designer's impact is critical to Predikt's success. By translating complex enterprise procurement and finance workflows into intuitive and efficient software, they will directly influence user adoption, satisfaction, and the perceived value of Predikt's AI-driven platform. Effective design is key to empowering finance and procurement leaders to make confident, data-driven decisions, which is the core promise of Predikt.
Growth Opportunities:
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Design System Leadership: As the company grows, there will be opportunities to take on more ownership of the design system, potentially leading its expansion and governance.
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Specialization in Procurement/Finance Tech: Deepening expertise in the specific domain of procurement and finance intelligence can lead to becoming a subject matter expert within the company and industry.
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Mentorship & Team Growth: As the design team expands, there will be opportunities to mentor junior designers and contribute to building the design function within Predikt.
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Product Strategy Influence: With a proven track record of impactful design, the role can evolve to have a greater influence on product strategy and roadmap prioritization.
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AI in Design Advancement: Continuously exploring and integrating emerging AI tools and methodologies can position the designer as a thought leader in applying AI to design workflows.
📝 Enhancement Note: The growth path here is less about traditional management and more about deepening expertise, taking on leadership in specific areas (like design systems or AI in design), and having a more significant strategic influence on product development. The early-stage nature means growth is often tied to the company's scaling trajectory.
🌐 Work Environment
Office Type: The role is described as Hybrid, with flexibility to work on-site in Leuven and remotely. This suggests a modern approach to work, balancing the benefits of in-person collaboration with the autonomy of remote work.
Office Location(s): The primary on-site location is Leuven, Belgium. This city is known for its vibrant tech and academic scene, particularly with KU Leuven, offering a conducive environment for a deeptech company.
Workspace Context:
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Collaborative Environment: The hybrid model and small team structure imply a focus on intentional collaboration. On-site days in Leuven would likely be dedicated to team meetings, workshops, brainstorming sessions, and building rapport.
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Tools & Technology: Employees are encouraged to use their own devices (BYOD), suggesting a flexible approach to hardware. The company will provide access to necessary software and cloud-based tools for design, communication, and development.
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Team Interaction: Expect regular interactions with Product, Engineering, and Design colleagues, fostering a culture of shared problem-solving and continuous feedback. The "radical transparency" value will likely shape communication styles.
Work Schedule: Standard full-time hours (likely 40 hours/week) with flexibility. The hybrid arrangement allows for a degree of autonomy in structuring the workday, accommodating personal needs while ensuring team alignment and productivity.
📝 Enhancement Note: The hybrid nature in Leuven, Belgium, offers a blend of European work-life balance with the dynamism of a startup. The BYOD policy and emphasis on flexibility suggest a mature, trust-based work environment. The on-site component in Leuven is likely strategically important for fostering team cohesion and driving innovation through direct interaction.
📄 Application & Portfolio Review Process
Interview Process:
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Initial Screening: A review of your resume and portfolio to assess alignment with the core requirements, particularly experience with complex B2B SaaS and research-driven design.
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Hiring Manager/Design Lead Interview: A discussion focused on your UX craft, design philosophy, experience with end-to-end ownership, and approach to user research and AI integration. Expect questions about how you tackle complexity and drive design decisions.
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Design Challenge / Portfolio Deep Dive: This is likely a critical stage where you'll present 1-2 detailed case studies from your portfolio. Be prepared to walk through your process, explain your rationale, discuss challenges, and articulate the impact of your designs. You may be asked to critique existing designs or solve a hypothetical problem related to Predikt's domain.
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Cross-Functional Team Interviews: Meetings with Product and Engineering team members to assess collaboration style, communication skills, and ability to work within a cross-functional, agile environment.
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Final Interview: Potentially with a founder or senior leader, focusing on cultural fit, long-term vision, and alignment with Predikt's values.
Portfolio Review Tips:
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Focus on B2B SaaS Complexity: Select case studies that clearly demonstrate your ability to handle intricate workflows, dense data, and expert user needs common in enterprise software.
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Show, Don't Just Tell: Visually present your design process – user journey maps, wireframes, user flows, interactive prototypes, and final UI. Explain why you made certain decisions.
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Quantify Impact: Where possible, use metrics to demonstrate the success of your designs (e.g., improved task completion rates, reduced errors, increased user satisfaction). If metrics aren't available, articulate the qualitative impact clearly.
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Highlight Research & Validation: Emphasize how user research informed your design decisions and how you validated your solutions.
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Demonstrate AI Integration: If you've used AI tools, show how they accelerated your work, but always stress your role in directing, verifying, and refining the output.
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Specify Your Role: Clearly define your contributions within each project, especially if it was a team effort.
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Be Prepared for Technical Discussion: Given the "close to front-end" requirement, be ready to discuss technical feasibility and how your designs translate to implementation.
Challenge Preparation:
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Understand Predikt's Domain: Research Predikt's product, target users (procurement and finance professionals), and the challenges they face. Understand the value proposition of AI-driven cost intelligence.
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Practice Articulating Design Decisions: Be ready to explain the "why" behind every design choice, linking it back to user needs, business goals, and data.
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Prepare for Problem-Solving Scenarios: Think about how you would approach a complex design problem in an enterprise context, considering constraints and AI integration.
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Refine Your Communication: Practice presenting your work clearly, concisely, and engagingly, anticipating questions from Product and Engineering perspectives.
📝 Enhancement Note: The interview process emphasizes practical skills, demonstrable experience, and cultural fit. The portfolio is paramount, and candidates should tailor their presentation to highlight specific requirements like B2B complexity, AI fluency, and end-to-end ownership. The "radical transparency" culture will likely mean interviewers are direct and expect honest, well-reasoned answers.
🛠 Tools & Technology Stack
Primary Tools:
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Figma: Explicitly mentioned as the primary tool for design, prototyping, and collaboration. Proficiency in its advanced features, component libraries, and prototyping capabilities is essential.
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AI Tools (Claude Code, ChatGPT, Copilot): Expected to be integrated into the daily workflow for tasks such as code generation assistance, content creation, research synthesis, and idea generation.
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Prototyping Tools (within Figma or dedicated): For creating realistic, interactive prototypes that mimic product behavior.
Analytics & Reporting:
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While not explicitly stated, a Senior UX Designer would typically use analytics tools (e.g., Google Analytics, Amplitude, Pendo) to understand user behavior post-launch and inform design iterations. Proficiency in interpreting user data is implied. CRM & Automation:
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Not directly relevant to the UX Designer's core tools, but understanding how UX impacts CRM usability and automation workflows can be beneficial.
📝 Enhancement Note: The explicit mention of Figma and AI tools (Claude Code, ChatGPT, Copilot) is critical. Candidates should be prepared to discuss their experience and proficiency with these specific technologies. The emphasis on AI suggests a proactive approach to leveraging new technologies for design efficiency.
👥 Team Culture & Values
Operations Values:
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Integrity: Upholding honesty and ethical standards in all design decisions and interactions.
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Innovation: Continuously seeking novel solutions and embracing cutting-edge technologies like AI to enhance the product and design process.
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Excellence: Striving for the highest quality in design execution, user experience, and overall product delivery.
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Collaboration: Working harmoniously with colleagues, valuing diverse perspectives, and contributing to shared goals.
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Customer-Centricity: Placing the needs and success of enterprise clients at the forefront of all design efforts.
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Mutual Respect & Open Communication: Fostering an environment where all team members feel valued, heard, and comfortable expressing ideas and feedback openly.
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Continuous Improvement: Actively seeking opportunities to learn, adapt, and refine processes and outcomes.
Collaboration Style:
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Cross-Functional Integration: A highly integrated approach where Design, Product, and Engineering work hand-in-hand throughout the product development lifecycle.
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Process Review & Feedback: Expect a culture where designs and processes are regularly reviewed, and constructive feedback is actively sought and given.
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Knowledge Sharing: Encouraging the sharing of insights, best practices, and learnings across the team to foster collective growth.
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Efficiency Experimentation: Openness to experimenting with new tools and methodologies (like AI) to improve workflow efficiency and design quality.
📝 Enhancement Note: The company values emphasize a high-performing, ethical, and collaborative environment. "Radical Transparency" is a significant cultural driver, suggesting direct communication and open dialogue are highly valued. The designer will be expected to embody these values in their daily work and interactions.
⚡ Challenges & Growth Opportunities
Challenges:
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Designing for Complexity: Translating dense, real-world procurement and finance workflows into clear, usable interfaces for expert users is inherently challenging.
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Balancing On-Site and Remote Work: Effectively collaborating and maintaining team cohesion in a hybrid model requires proactive communication and intentionality.
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Rapid Iteration in an Early-Stage Startup: The fast-paced environment requires adaptability, quick decision-making, and the ability to iterate rapidly based on feedback and evolving priorities.
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Integrating AI Effectively: Ensuring AI tools enhance, rather than detract from, the design process requires careful selection, prompting, and verification of AI outputs.
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Defining and Maintaining a Design System: As a growing startup, establishing and scaling a robust design system that supports rapid development while maintaining consistency can be demanding.
Learning & Development Opportunities:
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Domain Expertise: Gaining deep knowledge of the procurement and finance technology landscape.
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Advanced AI in Design: Becoming an expert in leveraging AI tools for all facets of the design process.
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Design System Development: Contributing to or leading the evolution of Predikt's design system.
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Product Strategy Input: Developing a stronger voice in shaping product strategy based on user insights and design expertise.
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Cross-Functional Skill Development: Enhancing collaboration and communication skills by working closely with Product and Engineering leaders.
📝 Enhancement Note: The challenges are typical of roles in innovative startups but are amplified by the complexity of the B2B domain and the adoption of new AI technologies. The growth opportunities are directly tied to overcoming these challenges and mastering new skills.
💡 Interview Preparation
Strategy Questions:
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"Describe a time you had to design a complex workflow for expert users. How did you approach understanding their needs and translating them into an intuitive interface?" (Preparation: Focus on a B2B SaaS case study, highlighting your research, IA, and iteration process. Emphasize handling edge cases.)
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"How do you integrate user research into your design process, and how do you ensure your design decisions are evidence-led?" (Preparation: Detail your research methodologies, how you synthesize findings, and provide examples of research directly influencing design outcomes.)
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"How have you used AI tools in your design workflow? What are the benefits and limitations you've encountered, and how do you ensure the quality of AI-assisted outputs?" (Preparation: Be ready to discuss specific AI tools used, practical examples of their application, and your critical oversight process. Showcase your AI fluency.)
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"How do you collaborate with Product Managers and Engineers to ensure designs are feasible and successfully implemented?" (Preparation: Discuss your approach to cross-functional communication, handoff processes, and managing feedback loops. Mention drafting work items.) Company & Culture Questions:
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"What interests you about Predikt and our mission to provide AI-driven cost intelligence?" (Preparation: Research Predikt's product, market, and values. Connect your skills and interests to their mission.)
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"How do you approach working in a small, fast-paced startup environment, and what does 'radical transparency' mean to you in practice?" (Preparation: Highlight your adaptability, ownership, and communication style. Discuss how you give and receive feedback openly.)
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"How do you contribute to a design system, and what is your philosophy on maintaining design consistency across a growing product?" (Preparation: Discuss your experience with design systems, design tokens, and ensuring visual alignment.) Portfolio Presentation Strategy:
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Structure Your Narrative: For each case study, clearly define the problem, your role, the process, the solution, and the impact.
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Highlight Complexity & Ownership: Emphasize the intricate nature of the problems you solved and your end-to-end ownership of the design.
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Showcase AI Integration (If Applicable): Subtly weave in examples of how AI assisted your workflow, focusing on efficiency gains and your verification process.
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Be Interactive: Be prepared for follow-up questions and discussions. Treat it as a collaborative problem-solving session rather than a one-way presentation.
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Focus on Deliverables: Demonstrate your ability to produce build-ready assets and realistic prototypes.
📝 Enhancement Note: Interview preparation should focus on demonstrating a blend of deep UX craft, strategic thinking, strong collaboration skills, and a forward-looking approach to technology (AI). Be ready to back up all claims with specific examples from your portfolio.
📌 Application Steps
To apply for this UX Designer position:
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Submit your application through the provided link on Ashby.
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Curate Your Portfolio: Select 2-3 of your strongest B2B SaaS case studies that best showcase your end-to-end design process, ability to handle complexity, user research rigor, and any experience with AI tools. Ensure each case study clearly defines the problem, your role, your process, the solution, and the impact.
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Tailor Your Resume: Highlight your 5+ years of experience in enterprise SaaS UX design, your proficiency in Figma and AI tools, and any experience with procurement/finance domains. Use keywords from the job description such as "end-to-end UX design," "user research," "complex workflows," and "AI-fluent."
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Prepare Your Presentation: Practice walking through your portfolio case studies, articulating your design decisions, and explaining how you've integrated AI into your workflow. Be ready to discuss your experience with hybrid work and startup environments.
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Research Predikt: Understand Predikt's product, target market (procurement and finance leaders), AI-driven cost intelligence value proposition, and company values, particularly "radical transparency."
⚠️ 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
Requires at least 5 years of experience designing complex B2B or enterprise SaaS products with a strong focus on research and high-fidelity UI. Candidates must be AI-fluent, comfortable working with front-end component libraries, and capable of managing the design process independently.