UX UI Product Designer

📍 Job Overview

Job Title: UX UI Product Designer

Company: Datarails

Location: Tel Aviv-Yafo, Tel Aviv District, Israel

Job Type: Full-Time

Category: Product Design / UX/UI

Date Posted: 2026-06-26

Experience Level: Mid-Level (2-5 years)

Remote Status: On-site

🚀 Role Summary

• Drive end-to-end product design initiatives for complex B2B SaaS features, encompassing user research, discovery, prototyping, and implementation.

• Contribute to the advancement of a robust Design System, ensuring consistency and scalability across the Datarails platform.

• Collaborate closely with Product Managers, Software Developers, and other cross-functional stakeholders throughout the entire product lifecycle.

• Leverage cutting-edge AI tools, including Claude Code, to enhance daily workflows, accelerate research, explore complex problems, and facilitate rapid prototyping.

• Design intuitive and polished user experiences for data-rich financial planning and analysis (FP&A) products, simplifying complex workflows.

📝 Enhancement Note: This role is classified under Product Design with a strong emphasis on UX/UI within the B2B SaaS sector, specifically for a Financial Planning & Analysis (FP&A) platform. The integration of AI tools is a key differentiator, requiring candidates to be adaptable and forward-thinking in their design approach. The on-site requirement in Tel Aviv indicates a preference for in-person collaboration and team integration.

📈 Primary Responsibilities

• Lead the entire design process for new product features and enhancements, from initial concept and user research through wireframing, prototyping, user testing, and final UI implementation.

• Conduct thorough user research, including interviews, surveys, and usability testing, to gather insights and validate design decisions for complex, data-intensive applications.

• Develop and maintain high-fidelity prototypes and interactive mockups using Figma to effectively communicate design concepts and user flows to stakeholders.

• Actively contribute to and evolve Datarails' Design System, ensuring adherence to established standards and identifying opportunities for improvement and expansion.

• Partner with Product Managers to translate business requirements and user needs into elegant, user-centered design solutions that drive engagement and efficiency.

• Work closely with engineering teams during the development phase to ensure accurate implementation of designs and to address any technical constraints or opportunities.

• Integrate AI tools and methodologies into the design workflow to enhance research capabilities, generate design variations, and optimize the design process.

• Champion user advocacy within the product development team, ensuring that user needs and pain points are central to design decisions.

• Analyze user feedback and product analytics to iterate on existing designs and continuously improve the user experience of the Datarails platform.

📝 Enhancement Note: The responsibilities highlight a full-cycle product design role with a strong emphasis on B2B SaaS, complex data visualization, and AI tool integration. The expectation is for the designer to take ownership from discovery to implementation, collaborating extensively with Product and Engineering.

🎓 Skills & Qualifications

Education: While no specific degree is mandated, a Bachelor's degree in Design, Human-Computer Interaction, Computer Science, or a related field is often preferred for Product Design roles. Equivalent practical experience will also be considered.

Experience: A minimum of 3 years of dedicated Product Design experience, with a significant portion focused on B2B SaaS environments.

Required Skills:

• Proven experience in end-to-end product design, from discovery and research to detailed UI and implementation support.

• Expertise in designing complex systems and data-rich products, demonstrating an understanding of information architecture and data visualization principles.

• Advanced proficiency in Figma for UI design, prototyping, and collaborative work, including extensive experience with component-based design systems.

• Demonstrated ability to independently lead design initiatives, manage multiple projects simultaneously, and take full ownership from concept to completion.

• Strong product thinking capabilities, with a proven track record of simplifying complex workflows into intuitive and efficient user experiences.

• Excellent verbal and written communication skills, with a knack for articulating design rationale and collaborating effectively with cross-functional teams (Product, Engineering, Marketing).

• A strong, compelling portfolio showcasing UX/UI design expertise, problem-solving skills, and a deep understanding of product thinking, with clear examples of B2B SaaS projects. Preferred Skills:

• Experience designing AI-powered products and user experiences, with an understanding of how to integrate AI functionalities seamlessly.

• Familiarity with GitHub and modern collaboration workflows with engineering teams, understanding version control and agile development practices.

• Prior experience in the finance industry or designing for finance professionals, providing domain expertise in FP&A concepts and user needs.

• Experience with user research methodologies, including usability testing, user interviews, and persona development.

• Knowledge of accessibility standards (WCAG) and best practices for inclusive design.

📝 Enhancement Note: The emphasis on "complex systems and data-rich products" and "B2B SaaS" combined with "3+ years" points towards a mid-level to senior individual contributor role. The requirement for a strong portfolio and independent leadership suggests a candidate expected to contribute significantly from day one.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Showcase a minimum of 3-5 comprehensive case studies demonstrating end-to-end product design projects, ideally within B2B SaaS.

• Clearly articulate the problem statement, your role and contribution, the design process followed, key challenges encountered, and the final solution.

• For each case study, highlight your problem-solving approach, user research methodologies, and how you translated complex requirements into intuitive user interfaces.

• Include examples of your work with Design Systems, demonstrating your understanding of component-based design, scalability, and consistency.

• Provide evidence of your ability to simplify complex workflows, particularly in data-intensive or financial contexts.

• Quantify the impact of your design solutions where possible, using metrics related to user engagement, efficiency gains, or problem resolution. Process Documentation:

• Demonstrate your ability to document design processes, including user journey mapping, wireframing, and user flow diagrams.

• Show examples of how you have contributed to or managed design system documentation, ensuring clarity and usability for other designers and developers.

• Include examples of how you have iterated on designs based on user feedback or performance data, showcasing a data-driven design approach.

• Illustrate your collaboration process with Product Managers and Engineers, showing how you facilitated handoffs and ensured design fidelity during implementation.

📝 Enhancement Note: The portfolio is critical for this role, serving as the primary evaluation tool. Candidates should curate their best work, focusing on depth of process, problem-solving, and tangible outcomes, especially for complex B2B SaaS applications.

💵 Compensation & Benefits

Salary Range: Given the location in Tel Aviv, Israel, and the 3+ years of experience requirement for a UX UI Product Designer in a B2B SaaS environment, a competitive salary range can be estimated. Based on industry benchmarks for this role in Tel Aviv, the estimated annual gross salary could range from ₪200,000 to ₪350,000 (approximately $55,000 - $95,000 USD), depending on the candidate's specific experience, skill set, and the company's compensation philosophy.

Benefits:

• Competitive salary and potential for equity/stock options in a fast-growing startup.

• Comprehensive health insurance coverage, including medical, dental, and vision.

• Opportunities for professional development, including training, conferences, and workshops focused on design, AI, and SaaS.

• A dynamic and collaborative work environment with a focus on innovation and cutting-edge technology.

• Potential for career advancement within a rapidly expanding company.

• Team-building events and social activities.

• Modern office space in Tel Aviv with amenities.

Working Hours: Standard full-time working hours, typically 40 hours per week, with flexibility often available to accommodate project deadlines and individual work styles, though the role is on-site.

📝 Enhancement Note: Salary is an estimate based on market data for similar roles in Tel Aviv, Israel, considering the specified experience level and industry. Benefits are typical for a tech startup in this region and are designed to attract and retain talent.

🎯 Team & Company Context

🏢 Company Culture

Industry: Datarails operates within the FinTech and SaaS industries, specifically focusing on Financial Planning & Analysis (FP&A). This means the company is part of a dynamic technology sector that leverages data analytics and cloud computing to serve financial professionals. The AI-first environment suggests a strong commitment to innovation and leveraging advanced technologies.

Company Size: Datarails is a fast-growing company, likely falling into the startup or scale-up phase, potentially ranging from 50-200 employees. This size typically offers a balance between established processes and the agility of a startup, with opportunities for significant individual impact.

Founded: Founded in 2018, Datarails has a relatively young history, positioning it as an innovative and rapidly evolving company within the FP&A software market. This youth implies a culture that is likely adaptable, energetic, and focused on disruption.

Team Structure:

• The Product Design team is likely integrated within a larger Product department, consisting of Product Managers, Designers, and potentially UX Researchers.

• The Designer will report to a Head of Product or Design Lead, working in close collaboration with Product Managers for feature definition and Developers for implementation.

• Cross-functional collaboration is paramount, involving close partnerships with Engineering, Product Management, and potentially Marketing and Sales teams to ensure a cohesive product strategy and user experience. Methodology:

• Data-driven decision-making is expected, with designs informed by user research, analytics, and market trends.

• Agile development methodologies are likely employed, requiring designers to work iteratively and adapt to changing requirements.

• A strong emphasis on user-centric design principles, ensuring that the needs and pain points of finance professionals are at the forefront of product development.

• Continuous learning and exploration of new technologies, particularly AI, to enhance product capabilities and design processes.

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

📝 Enhancement Note: The company culture is likely innovative, fast-paced, and collaborative, typical of a growing SaaS startup in the FinTech space. The AI-first approach suggests a forward-thinking team eager to adopt new technologies.

📈 Career & Growth Analysis

Operations Career Level: This role is positioned as a mid-level Product Designer. It requires independent ownership of design initiatives, end-to-end process leadership, and the ability to influence product direction through strong product thinking and design execution. The designer is expected to be a key contributor, capable of tackling complex problems with minimal supervision.

Reporting Structure: The UX UI Product Designer will likely report to a Head of Product or a Design Lead. They will work closely with Product Managers on feature development and collaborate daily with software engineers. This structure allows for direct impact on product strategy and execution.

Operations Impact: The designer's impact is critical in shaping the usability and effectiveness of the Datarails FP&A platform. By creating intuitive interfaces for complex financial data and workflows, they directly influence user adoption, efficiency gains for finance teams, and ultimately, the company's ability to retain customers and drive revenue growth. Their work in simplifying AI integration also positions Datarails at the forefront of technological innovation in the FP&A market.

Growth Opportunities:

• Specialization in AI Design: Deepen expertise in designing for AI-powered features and data-rich applications, becoming a go-to expert within the company.

• Design System Leadership: Grow into a role responsible for the strategic development and governance of the Design System, potentially leading a small team or influencing design standards across multiple product lines.

• Product Strategy Contribution: Develop a deeper understanding of the FP&A market and contribute more significantly to product strategy discussions, leveraging design insights to identify new opportunities.

• Mentorship: Mentor junior designers as the team grows, sharing best practices and fostering a strong design culture.

• Cross-functional Advancement: Potentially move into Product Management roles by leveraging a strong understanding of user needs, business goals, and technical feasibility.

📝 Enhancement Note: The growth path for this role involves deepening expertise in specialized areas like AI design and complex data visualization, as well as taking on more leadership responsibilities within the design and product functions.

🌐 Work Environment

Office Type: The role is on-site in Tel Aviv, indicating a preference for a traditional office environment that fosters in-person collaboration, spontaneous ideation, and team cohesion.

Office Location(s): Tel Aviv-Yafo, Tel Aviv District, Israel. This vibrant tech hub offers access to a rich ecosystem of talent, innovation, and networking opportunities.

Workspace Context:

• The workspace is expected to be modern and collaborative, designed to facilitate interaction between design, product, and engineering teams.

• Access to state-of-the-art design tools (Figma) and potentially other productivity software will be standard.

• Opportunities for direct interaction with colleagues will be frequent, encouraging knowledge sharing, rapid feedback loops, and a strong team dynamic.

• The environment is likely fast-paced and dynamic, characteristic of a growing tech company, requiring adaptability and a proactive approach.

Work Schedule: Full-time, on-site in Tel Aviv, typically around 40 hours per week. While standard hours apply, the dynamic nature of a startup may sometimes require flexibility to meet project deadlines.

📝 Enhancement Note: The on-site requirement in Tel Aviv emphasizes a company that values in-person collaboration and team synergy. The workspace will likely be designed to support these interactions within a dynamic technology environment.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A brief call with HR or a recruiter to assess basic qualifications, interest, and cultural fit.

• Portfolio Review & Technical Interview: A deeper dive into your portfolio with a hiring manager or senior designer. Expect to walk through 2-3 key case studies, discussing your process, problem-solving, and impact. This stage will also assess your proficiency with Figma and Design Systems.

• Design Challenge/Workshop: You may be given a design exercise or asked to participate in a collaborative workshop with Product Managers and Engineers to solve a specific product problem. This assesses your design thinking, problem-solving skills, and ability to collaborate under pressure.

• Cross-Functional Interviews: Meetings with Product Managers and Lead Engineers to evaluate your collaboration style, communication skills, and ability to integrate into the existing team dynamic.

• Final Interview: Potentially with a senior leader (e.g., Head of Product, CTO) to discuss overall fit, career aspirations, and strategic alignment.

Portfolio Review Tips:

• Organize your portfolio logically, with clear navigation and concise descriptions.

• For each case study, clearly define the problem, your role, the process, your contributions, and the outcomes. Use visuals effectively (screenshots, mockups, diagrams).

• Be prepared to discuss your design decisions in detail, justifying your choices based on user research, data, and design principles.

• Highlight your experience with complex data visualization and B2B SaaS products.

• Showcase your proficiency with Figma and your understanding of Design Systems.

• If you have experience with AI tools or designing for AI products, be ready to discuss it.

• Quantify your impact whenever possible (e.g., "improved conversion by X%", "reduced task completion time by Y%"). Challenge Preparation:

• Understand Datarails' product and target audience (FP&A professionals). Research common pain points for finance teams using spreadsheets or existing FP&A software.

• Practice simplifying complex data sets or workflows into intuitive user interfaces.

• Be ready to articulate your design rationale clearly and concisely, defending your choices with evidence.

• Focus on collaboration; be open to feedback and demonstrate how you would incorporate it.

• If an AI component is involved, think about how AI can enhance user workflows or provide insights.

📝 Enhancement Note: The interview process is designed to assess not only design skills but also problem-solving capabilities, collaboration style, and alignment with Datarails' product focus and AI-driven approach. A well-prepared portfolio is paramount.

🛠 Tools & Technology Stack

Primary Tools:

• Figma: The core tool for UI design, prototyping, component management, and design system collaboration. Proficiency is non-negotiable.

• Prototyping Tools: While Figma has robust prototyping capabilities, familiarity with other tools like InVision or Adobe XD might be beneficial for broader understanding.

• User Research Tools: Experience with tools like UserTesting.com, Maze, Hotjar, or SurveyMonkey for gathering user feedback and insights.

• Collaboration Tools: Familiarity with tools like Slack, Jira, Confluence, and potentially Notion for team communication, project tracking, and documentation.

Analytics & Reporting:

• Analytics Platforms: Understanding of how to interpret data from platforms like Google Analytics, Amplitude, or Mixpanel to inform design decisions.

• Data Visualization Tools: While not a primary design tool, an understanding of how data is visualized in tools like Tableau or Power BI can be helpful for designing data-rich interfaces.

CRM & Automation:

• CRM Systems: Basic understanding of CRM functionalities (e.g., Salesforce, HubSpot) can be helpful for understanding B2B sales and customer workflows.

• Project Management Software: Proficiency in tools like Jira or Asana for managing design tasks and workflows within an agile development process.

📝 Enhancement Note: Figma is the central design tool. The role requires proficiency not only in design execution but also in leveraging data and collaboration tools to ensure effective product development in a SaaS environment.

👥 Team Culture & Values

Operations Values:

• User-Centricity: A deep commitment to understanding and serving the needs of finance professionals, ensuring Datarails’ products are intuitive and valuable.

• Innovation & AI Adoption: Embracing cutting-edge technologies, particularly AI, to push the boundaries of financial planning and analysis software and enhance user capabilities.

• Collaboration & Transparency: Fostering an open environment where ideas are shared freely, feedback is constructive, and teams work cohesively towards common goals.

• Ownership & Accountability: Encouraging individuals to take full responsibility for their work, from conception to execution, and to drive projects to successful completion.

• Efficiency & Optimization: A continuous drive to improve processes, workflows, and product performance to deliver maximum value to users and the business.

Collaboration Style:

• Cross-functional Partnership: Working seamlessly with Product Managers to define requirements and with Engineers to ensure seamless implementation, acting as a bridge between user needs and technical execution.

• Iterative Feedback Loops: Engaging in regular design reviews and critique sessions to gather diverse perspectives and refine designs collaboratively.

• Knowledge Sharing: Actively participating in team discussions, sharing insights from user research, and contributing to the collective knowledge base of the design and product teams.

• Agile Mindset: Adapting to evolving project scopes and priorities, embracing flexibility, and contributing to a dynamic development cycle.

📝 Enhancement Note: The culture emphasizes innovation, user focus, and strong collaboration, particularly with Product and Engineering. The integration of AI is a core value, influencing how the team approaches problem-solving and product development.

⚡ Challenges & Growth Opportunities

Challenges:

• Designing for Complexity: Translating intricate financial data and complex FP&A workflows into simple, intuitive user experiences for professionals who may not be tech experts.

• AI Integration Nuances: Effectively designing user interfaces for AI-powered features that are transparent, trustworthy, and genuinely enhance user productivity without overwhelming them.

• Balancing User Needs with Business Goals: Ensuring that design decisions effectively meet user requirements while also supporting Datarails' strategic objectives and business growth.

• Rapid Iteration in a Fast-Paced Environment: Adapting quickly to new product requirements, market shifts, and evolving technologies while maintaining design quality and consistency.

Learning & Development Opportunities:

• Deep Dive into FP&A Domain: Gaining specialized knowledge in financial planning and analysis, understanding the unique challenges and needs of finance teams.

• Mastering AI-Powered Design: Becoming an expert in designing for AI applications, exploring ethical considerations, explainability, and user trust in AI-driven features.

• Contributing to a Growing Design System: Playing a key role in scaling and evolving Datarails' Design System, potentially leading to future ownership or architectural responsibilities.

• Exposure to High-Growth Startup Dynamics: Learning how to operate and thrive in a fast-paced, scaling technology company, developing skills in agility, strategic thinking, and cross-functional leadership.

📝 Enhancement Note: The role presents opportunities to tackle complex design challenges in a specialized domain (FP&A) and to become a leader in AI-driven product design, all within the dynamic environment of a growing startup.

💡 Interview Preparation

Strategy Questions:

• "Describe a time you had to simplify an extremely complex workflow for a user. What was your process, and what was the outcome?" (Focus on your problem-solving methodology, user research, and iterative design).

• "How do you approach designing for data-rich applications? What are the key considerations for effective data visualization and user comprehension?" (Discuss information architecture, UI patterns for data display, and user testing).

• "How would you integrate an AI feature, such as predictive forecasting or anomaly detection, into our FP&A platform from a UX perspective? What are the potential user concerns, and how would you address them?" (Highlight your understanding of AI ethics, explainability, and user trust).

• "Walk us through your process for contributing to or developing a Design System. What are the benefits, and how do you ensure its adoption and maintenance?" (Emphasize consistency, scalability, and collaboration with engineering). Company & Culture Questions:

• "Based on your understanding of Datarails and the FP&A market, what do you see as the biggest UX challenges for finance professionals today?" (Demonstrate your research and product empathy).

• "How do you typically collaborate with Product Managers and Engineers? Can you give an example of a successful cross-functional partnership?" (Focus on communication, feedback, and shared ownership).

• "What excites you most about Datarails' AI-first approach, and how do you see yourself contributing to it as a Product Designer?" (Connect your skills and interests to the company's strategic direction). Portfolio Presentation Strategy:

• Storytelling: Frame each case study as a narrative – the challenge, your journey (process), the solution, and the impact.

• Visuals: Use high-quality mockups, wireframes, and prototypes. Show before-and-afters if applicable, or highlight key UI elements.

• Process Clarity: Clearly explain why you made certain design decisions, referencing user research, data, or design principles.

• Quantify Impact: Whenever possible, present metrics that demonstrate the success of your designs (e.g., increased engagement, improved efficiency, positive user feedback).

• Conciseness: Be mindful of time. Focus on the most impactful aspects of your projects, and be prepared to go deeper on specific areas if asked.

• AI Integration: If relevant, highlight any projects where you've incorporated AI or data-driven insights into your design process or final product.

📝 Enhancement Note: Preparation should focus on demonstrating a strong understanding of B2B SaaS design, complex data handling, AI integration, and collaborative problem-solving, all supported by a compelling portfolio and clear articulation of design rationale.

📌 Application Steps

To apply for this UX UI Product Designer position:

• Submit your application through the Datarails careers portal via the provided Greenhouse link.

• Craft a tailored resume that highlights your experience in B2B SaaS, complex systems design, and proficiency with Figma and Design Systems. Quantify achievements wherever possible.

• Curate your portfolio to showcase 2-3 of your strongest, most relevant case studies that demonstrate end-to-end product design, problem-solving, and impact. Ensure it's easily accessible and well-organized.

• Prepare to discuss your portfolio in detail, focusing on your design process, rationale, and the outcomes of your work. Be ready to articulate your experience with AI tools and complex data.

• Research Datarails: Understand their FP&A SaaS product, target audience, and their AI-first strategy. This will help you tailor your responses and demonstrate genuine interest.

• Practice your communication skills and prepare for potential design challenges or collaborative exercises.

⚠️ 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.