Lead Product Designer

📍 Job Overview

Job Title: Lead Product Designer

Company: AGILINA

Location: Ramat Gan, Tel-Aviv District, Israel / Tel-Aviv, Tel-Aviv District, Israel

Job Type: Full-Time

Category: Product Design / UX/UI

Date Posted: 2026-09-16

Experience Level: Senior (5-10 years)

Remote Status: On-site

🚀 Role Summary

• Lead the end-to-end product design process for an AI-powered B2B SaaS platform, acting as the company's design authority.

• Drive design quality and innovation by leveraging modern AI tools to accelerate UX flows, wireframes, prototypes, and mockups.

• Collaborate closely with Product, R&D, Customer Success, Sales, and Marketing to deliver intuitive, scalable, and polished user experiences.

• Own the maintenance and evolution of the design system and UX standards, ensuring consistency and efficiency across the platform.

• Translate complex product requirements into clear, user-centered designs that meet the needs of both field users and enterprise customers.

📝 Enhancement Note: While the role is titled "Lead Product Designer," the description emphasizes hands-on execution and acting as the "design authority." This suggests a senior individual contributor role with leadership responsibilities, rather than a pure people management position. The integration of AI tools is a core differentiator, indicating a forward-thinking approach to design processes.

📈 Primary Responsibilities

• Own the complete UX/UI design lifecycle for a complex B2B SaaS platform, from initial concept to final implementation-ready assets.

• Conduct and lead design reviews, actively contributing to raising the overall design quality and adherence to best practices.

• Transform intricate product requirements and user needs into clear, intuitive, and scalable user experiences.

• Strategically utilize AI design tools (e.g., Figma Make, Magic Patterns, Claude) to enhance ideation, accelerate prototyping, and streamline design workflows.

• Maintain, evolve, and champion the company's design system and overarching UX standards to ensure product consistency and efficiency.

• Foster strong, collaborative partnerships with Product Managers and R&D teams to guarantee high-fidelity implementation of designs.

• Guide Product Managers in effectively using AI for design tasks, while identifying critical junctures where deeper, expert design involvement is essential.

• Contribute to the product strategy by providing design insights and advocating for user-centric solutions.

📝 Enhancement Note: The responsibilities highlight a blend of strategic ownership and hands-on execution, particularly in leveraging AI for design. The emphasis on collaboration with Product and R&D underscores the importance of cross-functional teamwork in a SaaS environment.

🎓 Skills & Qualifications

Education: Bachelor's degree in Design, HCI, Computer Science, or a related field, or equivalent practical experience.

Experience:

• Minimum of 7 years of dedicated experience in Product Design.

• Proven track record of designing complex, scalable B2B SaaS products.

• Hands-on experience in fast-paced startup environments, demonstrating adaptability and resilience. Required Skills:

• Advanced proficiency in UX/UI design principles and methodologies.

• Deep expertise in designing and maintaining robust Design Systems.

• Expert-level skills in Figma, including advanced features and collaborative workflows.

• Practical, hands-on experience with AI-powered design tools (e.g., Figma Make, Magic Patterns, Claude, or similar generative AI applications for design).

• Ability to translate complex product requirements into clear, intuitive, and user-centered designs.

• Strong understanding of the end-to-end product design process, from discovery to implementation.

• Excellent verbal and written communication skills, with the ability to articulate design decisions and rationale clearly.

• Proven ability to collaborate effectively with cross-functional teams, including Product Management, Engineering, and Customer Success.

• High degree of ownership, proactive problem-solving, and an intrinsic curiosity for new technologies.

• An "AI-first" mindset, embracing and exploring AI's potential in design workflows. Preferred Skills:

• Experience designing for Safety, Compliance, Operations, or industrial technology sectors.

• Prior experience with mobile-first product design strategies and execution.

• Familiarity with designing enterprise platforms, complex dashboards, and data-intensive products.

• Understanding of the nuances of B2B sales cycles and customer success workflows.

📝 Enhancement Note: The emphasis on AI design tools and an "AI-first" mindset is a critical differentiator for this role, moving beyond traditional design skillsets. The requirement for experience in complex B2B SaaS and startup environments suggests a need for candidates who can navigate ambiguity and drive impact with limited resources.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• A curated portfolio showcasing end-to-end product design projects, with a strong emphasis on B2B SaaS applications.

• Detailed case studies demonstrating your process for tackling complex design challenges, including problem definition, ideation, user research (if applicable), wireframing, prototyping, UI design, and final implementation.

• Clear evidence of your ability to design and maintain Design Systems, including examples of components, patterns, and style guides.

• Demonstrations of how you have leveraged AI tools within your design process to improve efficiency, explore concepts, or accelerate workflows.

• Examples of how you have translated complex requirements into intuitive and scalable user experiences.

• Metrics or qualitative feedback illustrating the impact of your design contributions on user engagement, efficiency, or business objectives. Process Documentation:

• Showcase your approach to documenting design processes, including user flows, wireframes, prototypes, and final UI specifications.

• Provide examples of how you collaborate with engineering teams to ensure design fidelity and smooth implementation, including any handoff documentation or processes.

• Illustrate your method for iterating on designs based on user feedback, A/B testing results, or performance data.

• Detail your experience in contributing to or maintaining design systems, including version control and contribution guidelines.

📝 Enhancement Note: For a Lead Product Designer role, particularly one focused on AI and B2B SaaS, the portfolio should strongly emphasize problem-solving, process, and tangible impact. Demonstrating the ability to integrate AI tools into a structured design workflow is paramount.

💵 Compensation & Benefits

Salary Range: Based on industry benchmarks for a Lead Product Designer with 7+ years of experience in Israel, particularly in tech hubs like Tel Aviv and Ramat Gan, the estimated salary range would be between ₪35,000 - ₪50,000 per month. This range can vary based on specific experience, the company's funding stage, and the candidate's negotiation skills.

Benefits:

• Competitive salary package.

• Stock options or equity in a growing startup.

• Comprehensive health insurance (medical, dental, vision).

• Paid time off (vacation, sick leave, holidays).

• Professional development opportunities, including access to conferences, training, and AI design tools.

• Opportunity to work with cutting-edge AI technologies.

• Collaborative and innovative work environment.

• Potential for significant career growth and impact in an early-stage company.

Working Hours: 40 hours per week, with potential for flexibility depending on project needs and team collaboration, typical of a full-time role in the Israeli tech sector.

📝 Enhancement Note: Salary estimation for Israel is based on general market data for senior design roles in the tech sector, adjusted for the specified experience level and location. Benefits are typical for a startup environment, emphasizing growth potential and cutting-edge technology.

🎯 Team & Company Context

🏢 Company Culture

Industry: Technology (AI-powered B2B SaaS)

Company Size: Startup (Specific size not provided, but implied to be early-stage and growing)

Founded: AGILINA is an innovative startup, likely founded within the last 5-10 years, focusing on leveraging AI to solve complex business challenges.

Team Structure:

• The design function is likely lean, with this Lead Product Designer serving as the primary design authority.

• Close collaboration with Product Management and R&D is expected, forming a core product development unit.

• Interaction with Customer Success, Sales, and Marketing teams will be frequent to gather insights and ensure market alignment.

• The reporting structure will likely be to a Head of Product, CTO, or a founder, reflecting the startup's organizational setup. Methodology:

• Data-Driven Design: Utilizing user data, analytics, and AI insights to inform design decisions.

• Agile Development: Working within iterative cycles to develop and refine the SaaS platform.

• AI Integration: Proactively incorporating AI tools into the design process to enhance efficiency and explore new possibilities.

• User-Centricity: Maintaining a strong focus on user needs and experience, even within a complex B2B context.

Company Website: https://agilina.co/

📝 Enhancement Note: The company's focus on AI and B2B SaaS implies a culture that values innovation, technical expertise, and rapid iteration. The "AI-first" mindset mentioned in the requirements will likely permeate the company's culture and operational strategies.

📈 Career & Growth Analysis

Operations Career Level: This role represents a senior individual contributor position with significant influence and leadership within the design domain. It's a step towards becoming a Design Lead or Head of Design in a growing company, requiring both deep technical design skills and strategic product thinking.

Reporting Structure: The Lead Product Designer will likely report directly to a senior leadership member, such as the Chief Technology Officer (CTO) or Head of Product, depending on the company's current structure. This provides direct access to decision-makers and strategic discussions.

Operations Impact: The Lead Product Designer will have a direct and substantial impact on the company's product strategy, user adoption, and overall success. By owning the design quality and user experience of an AI-powered B2B SaaS platform, their work will directly influence customer satisfaction, retention, and the platform's competitive positioning. Their role in defining how AI is leveraged in design will shape the product's future.

Growth Opportunities:

• Design Leadership: As the company scales, there's a clear path to formalizing a design team under this individual, potentially leading to a Head of Design role.

• AI Specialization: Deepening expertise in AI-driven design tools and methodologies, becoming a subject matter expert within the company and potentially the industry.

• Product Strategy Influence: Contributing significantly to product roadmap decisions and strategic planning, leveraging design insights.

• Cross-Functional Expertise: Gaining deeper understanding and experience in Product Management, R&D, and business development through close collaboration.

• Equity Growth: Potential for significant appreciation of stock options as the startup grows and achieves milestones.

📝 Enhancement Note: The growth trajectory for this role is strongly tied to the startup's success. The emphasis on AI and B2B SaaS suggests opportunities for specialization in high-demand areas of product design.

🌐 Work Environment

Office Type: The role is specified as "On-site," suggesting a physical office presence in either Ramat Gan or Tel Aviv. This environment typically fosters direct collaboration and team cohesion, crucial in a startup setting.

Office Location(s):

• Ramat Gan, Israel (Center District)

• Tel Aviv-Yafo, Israel (Center District)

These locations are prominent tech hubs in Israel, offering access to talent and a vibrant startup ecosystem.

Workspace Context:

• Collaborative Environment: The on-site nature of the role facilitates spontaneous brainstorming, direct feedback sessions, and strong team bonding with Product and R&D colleagues.

• Tools & Technology: Expect access to modern design software, AI tools, and other necessary technologies to support efficient design workflows. The company's "AI-first" approach likely means advanced tech is readily available.

• Innovation Focus: The workspace will likely reflect a dynamic startup culture, encouraging creativity, experimentation, and open communication.

Work Schedule: Standard full-time hours (approx. 40 hours/week) are expected, with the potential for some flexibility. The emphasis on delivering high-quality design in a fast-paced environment might occasionally require dedication beyond standard hours, particularly during critical project phases.

📝 Enhancement Note: The on-site requirement suggests a preference for high-touch collaboration and team integration, common in early-stage startups aiming to build a strong, cohesive culture.

📄 Application & Portfolio Review Process

Interview Process:

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

• Hiring Manager Interview: Discussion with the hiring manager (likely Head of Product or CTO) focusing on experience with B2B SaaS, AI tools, design leadership, and strategic thinking.

• Portfolio Review & Design Challenge: A dedicated session to present your portfolio, walking through key case studies. This may include a live or take-home design challenge focused on a complex B2B SaaS problem, potentially incorporating AI elements.

• Team Collaboration Exercise: Meeting with members of the Product and R&D teams to assess collaboration style, communication, and ability to integrate into the existing team dynamic.

• Final Interview: A final conversation with a founder or senior executive to discuss vision, long-term impact, and cultural alignment.

Portfolio Review Tips:

• Focus on Process: Clearly articulate your design thinking process for each case study, emphasizing problem-solving and decision-making.

• Highlight AI Integration: Specifically showcase how you've used AI tools in your workflow, detailing the benefits and outcomes.

• Quantify Impact: Whenever possible, use data and metrics to demonstrate the success of your designs (e.g., improved conversion rates, reduced task completion time, increased user satisfaction).

• Showcase B2B SaaS Expertise: Tailor your examples to demonstrate understanding of complex enterprise needs, scalability, and user workflows in a business context.

• Design System Examples: Include clear examples of your work on design systems, illustrating your ability to create and maintain scalable component libraries.

• Conciseness and Clarity: Present your work clearly and concisely, focusing on the most relevant projects for this specific role.

Challenge Preparation:

• Understand the Problem: Thoroughly analyze the design challenge, identifying user needs, business goals, and technical constraints.

• Define Your Approach: Outline your proposed design process, including research, ideation, and iteration steps.

• Embrace AI: Consider how AI tools could be leveraged to solve the challenge, even if not explicitly required.

• Communicate Your Rationale: Be prepared to clearly explain your design decisions and the trade-offs you've considered.

• Consider Implementation: Think about how your design would be implemented and potential challenges in a SaaS environment.

📝 Enhancement Note: The portfolio review and potential design challenge will be critical. Candidates should prepare to demonstrate not only design craft but also strategic thinking, problem-solving skills, and a clear understanding of how to integrate AI into a professional design workflow for B2B SaaS products.

🛠 Tools & Technology Stack

Primary Tools:

• Figma: Essential for UI design, prototyping, design systems, and collaboration. Advanced proficiency is a must.

• AI Design Tools: Hands-on experience with tools like Figma Make, Magic Patterns, Claude, or similar generative AI applications for UX flows, wireframing, prototyping, mockups, and concept generation.

• Prototyping Tools: Proficiency in tools beyond Figma for more complex or interactive prototypes if needed (e.g., Principle, ProtoPie).

• Wireframing Tools: Experience with tools like Balsamiq, Sketch, or Adobe XD for early-stage ideation.

Analytics & Reporting:

• Product Analytics Platforms: Familiarity with tools like Mixpanel, Amplitude, or Pendo for understanding user behavior and product usage.

• Data Visualization Tools: Experience with tools like Tableau or Looker for data analysis and reporting, to inform design decisions.

CRM & Automation:

• CRM Systems: Understanding of how design impacts CRM usage and workflows (e.g., Salesforce, HubSpot).

• Project Management Tools: Familiarity with tools like Jira, Asana, or Trello for managing design tasks and collaborating with development teams.

📝 Enhancement Note: The explicit mention of "AI design tools" and "Figma" as core requirements dictates the technology stack. Candidates should be prepared to discuss their practical application of these tools in real-world design scenarios.

👥 Team Culture & Values

Operations Values:

• Innovation & AI-First: A strong drive to explore and implement cutting-edge AI technologies within design and product development.

• User-Centricity: A deep commitment to understanding and serving the needs of B2B users, ensuring intuitive and effective experiences.

• Collaboration & Transparency: Open communication and a proactive approach to working with cross-functional teams, sharing insights and feedback.

• Ownership & Accountability: Taking responsibility for design quality and product outcomes, with a proactive approach to problem-solving.

• Continuous Learning: A culture that encourages staying abreast of the latest design trends, AI advancements, and industry best practices.

Collaboration Style:

• Cross-Functional Integration: The design function is deeply integrated with Product and R&D, working in close partnership throughout the product lifecycle.

• Iterative Feedback Loops: Regular design reviews and feedback sessions with peers and stakeholders to refine designs and ensure alignment.

• Knowledge Sharing: A willingness to share expertise, best practices, and learnings, particularly around AI tools and design methodologies.

• Empowered Autonomy: While collaborative, team members are expected to take initiative and drive their work forward with a high degree of autonomy.

📝 Enhancement Note: The "AI-first" mindset is a central cultural pillar. Candidates should be prepared to discuss how they embody this value and contribute to a culture of innovation and continuous learning.

⚡ Challenges & Growth Opportunities

Challenges:

• Defining AI's Role in Design: Navigating the rapidly evolving landscape of AI tools and determining their optimal integration into established design processes for maximum value.

• Balancing Innovation with Usability: Ensuring that the adoption of new AI technologies does not compromise the core usability, scalability, and intuitiveness of the B2B SaaS platform.

• Rapid Iteration in a Startup: Adapting to the fast-paced, often ambiguous environment of a startup, requiring quick decision-making and flexibility.

• Scalability of Design Systems: Evolving the design system to accommodate new features, AI-driven components, and growing complexity of the B2B SaaS product.

• Cross-Functional Alignment: Ensuring consistent understanding and buy-in on design vision and AI integration across diverse teams (Product, R&D, Sales, Marketing).

Learning & Development Opportunities:

• AI Design Specialization: Becoming a leader in applying AI to UX/UI design within the company and potentially the broader industry.

• Product Strategy Contribution: Developing deeper involvement in strategic product planning and roadmap definition.

• Leadership Development: Opportunities to mentor junior designers (as the team grows) and refine leadership skills.

• Industry Exposure: Attending relevant tech and design conferences, workshops, and online courses focused on AI in design and B2B SaaS.

• Hands-on Experience: Gaining extensive experience with a cutting-edge AI-powered product in a dynamic startup setting.

📝 Enhancement Note: The challenges presented are directly tied to the innovative nature of the role and the startup environment. Growth opportunities are geared towards specialization in AI design and strategic product leadership.

💡 Interview Preparation

Strategy Questions:

• "How would you approach designing a new feature for our AI-powered SaaS platform, considering both user needs and the integration of AI capabilities?" (Focus on process, AI integration, user-centricity).

• "Describe a time you had to balance competing priorities or complex requirements from different stakeholders. How did you manage it, and what was the outcome?" (Focus on collaboration, problem-solving, communication).

• "How do you ensure that your AI-assisted design decisions are user-centric and contribute to a positive overall user experience, rather than just speeding up the process?" (Focus on critical thinking about AI, user advocacy). Company & Culture Questions:

• "What interests you most about AGILINA and our approach to AI in B2B SaaS?" (Research company, understand their mission, connect to your "AI-first" mindset).

• "How do you envision contributing to a startup culture that prioritizes innovation and rapid iteration?" (Discuss your adaptability, proactivity, and willingness to learn).

• "How do you measure the success of your design work, particularly in a B2B SaaS context?" (Focus on metrics, user feedback, business impact). Portfolio Presentation Strategy:

• Narrative Arc: Structure your portfolio presentation as a story for each project, highlighting the problem, your process, the solution, and the impact.

• AI Integration Emphasis: Dedicate specific slides or talking points to showcase how you've used AI tools, detailing the challenges and benefits.

• Quantifiable Results: Present any available data or metrics that demonstrate the positive outcomes of your design work.

• Design System Clarity: Clearly explain your approach to building and maintaining design systems, showing component examples and usage guidelines.

• Interactive Elements: Be prepared for questions that probe deeper into your design decisions and thought process. Consider having interactive prototypes ready if applicable.

📝 Enhancement Note: Candidates should prepare to articulate their unique value proposition, particularly their expertise in AI-driven design and complex B2B SaaS environments. The interview process will likely assess both technical design skills and strategic thinking.

📌 Application Steps

To apply for this Lead Product Designer position:

• Submit your application through the provided link on the AGILINA careers page.

• Portfolio Customization: Curate your portfolio to prominently feature B2B SaaS projects, clearly demonstrating your end-to-end design process and your experience with AI design tools. Showcase at least one complex case study that highlights problem-solving and impact.

• Resume Optimization: Tailor your resume to highlight keywords such as "Product Design," "B2B SaaS," "AI Tools," "Figma," "Design Systems," and "UX/UI." Quantify achievements wherever possible (e.g., "Improved user task completion time by X%").

• Interview Preparation: Practice articulating your design philosophy, your approach to integrating AI into design, and your experience with complex enterprise products. Prepare to walk through your portfolio with confidence and answer strategic questions about design challenges.

• Company Research: Gain a deep understanding of AGILINA's mission, their AI-powered platform, and their target market. Familiarize yourself with their existing product (if publicly available) to better understand their design context and identify potential areas for enhancement.

⚠️ 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.