Lead Product Designer - monday Agents

📍 Job Overview

Job Title: Lead Product Designer - monday Agents

Company: monday.com

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

Job Type: Full-time

Category: Product Design / AI Product Development

Date Posted: 2026-06-03T09:40:44

Experience Level: 7+ years

Remote Status: On-site

🚀 Role Summary

• Lead the design vision and strategy for monday Agents, a next-generation autonomous workforce ecosystem focused on human-AI collaboration.

• Define novel interaction paradigms for building, configuring, and interacting with AI agents across desktop and mobile platforms.

• Drive exceptional interaction and visual craft for high-impact, end-to-end agentic experiences, setting new standards for the monday.com ecosystem.

• Mentor and grow a team of designers, fostering a culture of ownership, curiosity, and high standards within the group.

📝 Enhancement Note: This role is positioned at the forefront of AI product development, requiring a designer to not only execute but also to define entirely new user experiences and interaction models for human-AI collaboration. The emphasis on "autonomous workforce ecosystem" and "agentic era" signifies a strategic bet by monday.com, demanding a leader who can navigate ambiguity and establish foundational design patterns for future product evolution.

📈 Primary Responsibilities

• Own the end-to-end design vision, strategy, and execution for the monday Agents product group, encompassing user creation, configuration, trust, and agent-human interaction workflows.

• Establish new interaction paradigms and design patterns for human-AI collaboration, ensuring consistency and scalability across the broader monday.com platform.

• Partner closely with Product Management, Engineering, UX Research, and Data Science leadership to shape strategic priorities, product roadmaps, and the long-term vision for agentic experiences.

• Lead by example in delivering high-quality interaction and visual design for desktop and mobile applications, ensuring exceptional user experiences.

• Elevate the design craft across the team through regular design reviews, constructive critique, and the definition of clear quality standards.

• Champion the adoption and integration of AI tools and workflows within the design process to optimize personal and team impact.

• Mentor and coach designers within the group, supporting their professional development and ensuring the delivery of outstanding design work.

• Foster a collaborative and high-standard design culture grounded in ownership, curiosity, and a proactive builder mindset.

• Collaborate with UX Research and Product Analytics to validate design concepts through user testing and data analysis, iterating based on real user behavior and agent performance data.

• Contribute to the broader monday.com design guild by sharing learnings, advocating for best practices, and advancing design craft across the organization.

📝 Enhancement Note: The responsibilities highlight a blend of strategic leadership, hands-on design execution, and team mentorship. The emphasis on "new interaction paradigms," "non-deterministic systems," and "emerging interaction models" underscores the innovative nature of this role, requiring a designer comfortable with uncharted territory and the creation of foundational design principles for AI-driven products.

🎓 Skills & Qualifications

Education: While no specific degree is mandated, a strong understanding of design principles, user-centered design methodologies, and human-computer interaction is expected, often acquired through formal education or extensive practical experience.

Experience: 7+ years of progressive product design experience, with a proven track record of leading design initiatives for complex, high-stakes product areas, including setting product vision, strategy, and establishing high standards for design craft.

Required Skills:

• Product Design Leadership: Proven ability to lead end-to-end design processes, from conceptualization to launch, for complex products.

• AI Fluency: Demonstrated experience with AI-powered tools and workflows, specifically mentioning "Vibe Coding tools" and "Coding Agents," and a track record of shipping AI-powered experiences to production.

• Interaction & Visual Design: Exceptional skills in crafting intuitive user interactions and compelling visual interfaces across desktop and mobile platforms.

• Systems Thinking: Ability to design holistic, consistent, and scalable experiences across different platforms and product areas, understanding the implications of complex, non-deterministic systems.

• Portfolio of Shipped Products: A strong, demonstrable portfolio showcasing significant impact on shipped products, particularly those involving AI or complex system design.

• Mentorship & Coaching: Experience in mentoring junior designers, guiding their growth, and elevating the overall quality of design output within a team.

• Collaboration & Influence: Excellent communication, interpersonal, and stakeholder management skills, with the ability to build trust and drive alignment across Product, Engineering, Data Science, and Research teams.

• Ambiguity Navigation: Comfort and proven success in working within ambiguous environments, dealing with emerging interaction models and non-deterministic systems.

• English Proficiency: High level of written and spoken English communication skills.

Preferred Skills:

• SaaS/Enterprise/B2C Design: Prior experience designing for Software-as-a-Service, enterprise-level applications, or direct-to-consumer products.

• AI/Automation/Agentic Product Design: Specific experience designing products that leverage AI, automation, or agentic capabilities.

📝 Enhancement Note: The "AI Fluency" requirement is critical, going beyond general AI understanding to specific practical experience with AI tools and shipping AI-driven products. The emphasis on "systems thinking" and "non-deterministic systems" is also key, indicating the need for a designer who can manage complexity and unpredictability inherent in AI agent ecosystems.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Demonstrated Impact: Showcase case studies with clear evidence of how your design decisions led to significant product impact, such as increased user adoption, improved efficiency, or enhanced user satisfaction within complex systems.

• AI-Driven Solutions: Include examples of projects where you've designed AI-powered features or experiences, detailing your approach to user interaction, data interpretation, and ensuring user trust in AI outputs.

• Systemic Design Thinking: Present projects that illustrate your ability to design cohesive and consistent experiences across multiple platforms (desktop and mobile) and product areas, demonstrating an understanding of interconnected systems.

• Problem-Solving for Ambiguity: Highlight instances where you tackled poorly defined problems or emerging interaction models, detailing your process for breaking down complexity and arriving at elegant, scalable solutions.

• Design Leadership & Mentorship: If applicable, include examples of projects where you led design efforts, mentored other designers, or influenced design strategy and craft within a team.

Process Documentation:

• Workflow Design & Optimization: Detail your process for mapping out user journeys, defining workflows, and optimizing them for efficiency, particularly in the context of human-AI collaboration.

• AI Integration Strategies: Document your approach to integrating AI capabilities into user workflows, considering aspects like user onboarding, agent configuration, error handling, and feedback loops.

• Iterative Design & Validation: Illustrate your iterative design process, including how you leverage UX research, product analytics, and A/B testing to validate design hypotheses and refine AI-driven experiences.

• Cross-Functional Collaboration: Provide examples of how you document and communicate design decisions and processes to engineering, product, and research teams to ensure seamless execution and alignment.

📝 Enhancement Note: For this role, the portfolio should heavily emphasize AI-related projects and the ability to design for complex, evolving systems. Candidates should be prepared to discuss their process for defining "agentic experiences" and how they ensure user trust and understanding in autonomous systems.

💵 Compensation & Benefits

Salary Range:

Benefits:

• Comprehensive Health Insurance: Including medical, dental, and vision coverage.

• Stock Options/RSUs: Equity participation in monday.com's growth and success.

• Generous Paid Time Off: Including vacation days, sick leave, and public holidays.

• Professional Development Budget: Funds for conferences, courses, books, and other learning opportunities to enhance design skills and AI knowledge.

• Commuter Benefits/Transportation Allowance: Support for commuting to the Tel Aviv office.

• On-site Amenities: Access to modern office facilities, likely including catered meals, snacks, and beverages, fostering a collaborative work environment.

• Parental Leave: Generous paid leave for new parents.

• Employee Assistance Program (EAP): Confidential support services for personal and professional well-being.

• Team Building & Social Events: Opportunities for connection and camaraderie with colleagues.

Working Hours:

• Standard full-time working hours are typically 40 hours per week, with flexibility expected to meet project deadlines and team needs. Given the on-site requirement, adherence to local Israeli working norms and office hours will apply.

📝 Enhancement Note: The salary estimate is derived from general market data for senior product design leadership roles in the Israeli tech sector, particularly within established SaaS companies like monday.com. The specific range accounts for the high demand for AI expertise and leadership capabilities. Benefits are typical for major tech companies in the region.

🎯 Team & Company Context

🏢 Company Culture

Industry: Software / Cloud Computing / SaaS (Software as a Service) / AI Work Platform. monday.com operates within the highly competitive productivity and work management software market, differentiating itself with a highly customizable and visual platform. The "monday Agents" group positions the company at the forefront of AI integration within this space.

Company Size: Large Enterprise (indicated by over 250,000 customers and a global team, likely in the thousands of employees). This size implies robust processes, significant resources, and opportunities for broad impact.

Founded: 2012. Founded relatively recently, monday.com has experienced rapid growth, indicating an agile and innovative company culture.

Team Structure:

• Design Guild: The design team is structured as a guild, encompassing various specializations including Marketing, Product, Internal Brand, and Motion Design. This structure suggests a collaborative environment where designers from different domains can share knowledge and best practices.

• Group-Specific Design: The "monday Agents" group will have its own dedicated design lead and likely a small team of designers reporting to them, working in close partnership with Product Managers, Engineers, and Researchers within that specific product area.

• Cross-Functional Collaboration: Designers are expected to work deeply and collaboratively with Product, Engineering, Data Science, and UX Research teams, indicating a highly integrated and agile product development process.

Methodology:

• AI-First Development: The "monday Agents" group is explicitly focused on AI and autonomous workforce ecosystems, suggesting a methodology that embraces AI tools, workflows, and experimental approaches to product development.

• User-Centricity & Data-Driven: The role emphasizes partnering with UX Research and Product Analytics to test, iterate, and validate ideas, indicating a strong commitment to user feedback and data-informed decision-making.

• Agile & Iterative: As is common in fast-growing tech companies, the product development likely follows agile methodologies, with a focus on rapid iteration and continuous improvement.

• Ownership & Builder Mindset: The culture encourages individuals to take ownership and act as builders, driving initiatives from conception to execution.

Company Website: https://monday.com/

📝 Enhancement Note: The company's rapid growth and position as a major player in the SaaS market, combined with its strategic investment in AI with "monday Agents," points to a dynamic, innovative, and resource-rich environment. The design guild structure implies a strong emphasis on design as a core function, with opportunities for cross-pollination of ideas.

📈 Career & Growth Analysis

Operations Career Level: This role is a senior leadership position within the design function, specifically leading the design efforts for a highly strategic and innovative product area ("monday Agents"). It's a "Lead" role, signifying significant responsibility for vision, strategy, execution, and team mentorship. It sits at the intersection of Product Design, AI Product Development, and Team Leadership.

Reporting Structure: The Lead Product Designer will report to a senior design leader (e.g., Head of Product Design, Design Director) and will work in close partnership with Product Management and Engineering leadership for the "monday Agents" group. They will also mentor and guide other designers within this group.

Operations Impact: The impact of this role is substantial. By defining the user experience for AI agents, this Lead Designer will directly influence how millions of users interact with AI, shaping the future of work on the monday.com platform. Success will be measured by the adoption and effectiveness of the agentic experiences, user trust in AI, and the overall strategic success of the monday Agents initiative, contributing significantly to monday.com's market leadership and revenue growth.

Growth Opportunities:

• Strategic Leadership: Opportunity to shape the vision and direction of a critical, 0-to-1 product initiative that is central to monday.com's future AI strategy.

• Defining New Paradigms: The chance to be a pioneer in designing for a new era of human-AI collaboration, potentially setting industry standards.

• Team Growth & Development: Build and lead a high-performing design team, developing leadership and mentorship skills.

• Broader Design Influence: Contribute to the overall design culture and strategy of a large, successful tech company, potentially influencing design practices across multiple product lines.

• Technical & AI Expertise: Deepen expertise in AI product development, advanced interaction models, and the integration of AI into complex software systems.

• Career Advancement: Potential to move into higher leadership roles within the design organization or product management.

📝 Enhancement Note: This role offers a rare opportunity to be at the forefront of AI product design, not just executing on existing models but truly defining new ones. The growth potential lies in strategic influence, leadership development, and becoming a recognized expert in AI-driven user experiences.

🌐 Work Environment

Office Type: The role is on-site in Tel Aviv, Israel, suggesting a vibrant, modern office environment typical of leading tech companies. This implies a collaborative workspace designed to foster innovation and teamwork.

Office Location(s): Tel Aviv-Yafo, Israel. This location is a major tech hub, offering a dynamic professional ecosystem.

Workspace Context:

• Collaborative Hub: The office environment is likely set up to encourage brainstorming, cross-functional team meetings, and design critiques. Expect shared workspaces, meeting rooms, and common areas designed for interaction.

• Technology Access: As a leading tech company, designers will have access to state-of-the-art hardware, software, and potentially specialized tools for AI development and design.

• Team Interaction: Being on-site facilitates spontaneous collaboration, quick feedback loops, and a strong sense of team cohesion with Product, Engineering, and Research counterparts. The presence of AI tools within the workflow may also influence how teams interact and share information.

Work Schedule: While a standard 40-hour work week is typical, the dynamic nature of launching new, strategic products like "monday Agents" may require flexibility and dedication to meet critical deadlines. The on-site nature means adherence to typical office hours in Israel, with potential for remote work on certain days if company policy allows for hybrid arrangements, though the primary description points to on-site.

📝 Enhancement Note: The on-site requirement in a major tech hub like Tel Aviv emphasizes a culture of in-person collaboration and immersion in the company's innovative environment. This is crucial for a role focused on defining cutting-edge AI experiences.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A recruiter will likely review your application, focusing on experience, AI fluency, and portfolio relevance.

• Hiring Manager/Lead Interview: An in-depth discussion with the hiring manager (likely a senior design leader or Head of Product) to assess your leadership experience, strategic thinking, and fit for the role and team.

• Design Portfolio Review: A dedicated session where you present your portfolio. Expect to walk through 2-3 key projects, detailing your process, challenges, solutions, and impact, with a strong emphasis on AI-related work and systemic design.

• Cross-Functional Interviews: Meetings with key stakeholders from Product Management, Engineering, and potentially UX Research/Data Science to evaluate your collaboration skills, technical understanding, and ability to work within a cross-functional team.

• Whiteboard/Design Challenge: Potentially a design exercise or whiteboard session to assess your problem-solving skills, interaction design thinking, and ability to articulate your design process on the spot, possibly involving AI-related scenarios.

• Final Interview: May involve senior leadership to assess overall fit and strategic alignment.

Portfolio Review Tips:

• Focus on Impact: Clearly articulate the business and user impact of your projects. Quantify results whenever possible (e.g., "increased agent adoption by X%", "reduced task completion time by Y%").

• Showcase AI Expertise: Highlight projects involving AI, machine learning, automation, or agentic systems. Detail your approach to designing for these complex, often non-deterministic systems.

• Demonstrate Systems Thinking: Include examples that show your ability to design cohesive experiences across platforms and product areas, illustrating how your solutions fit into a larger ecosystem.

• Tell a Story: Structure your case studies as narratives, explaining the problem, your role, your process, key decisions, challenges, and the final outcome.

• Prepare for Ambiguity: Be ready to discuss how you approach designing for problems where the solutions aren't yet defined, demonstrating your comfort with ambiguity and iterative exploration.

• Highlight Leadership: If applicable, showcase instances where you led design initiatives, mentored designers, or influenced product strategy.

• Visual Polish: Ensure your portfolio is visually appealing, well-organized, and easy to navigate, reflecting your craft.

Challenge Preparation:

• AI-Centric Scenarios: Anticipate design challenges related to human-AI collaboration, agent configuration, trust in AI, or the automation of complex workflows.

• Process Articulation: Be prepared to clearly explain your design process, decision-making rationale, and how you incorporate user research and data.

• Systems Design: Practice designing for complex systems, considering scalability, consistency, and cross-platform integration.

• Communication: Focus on clear, concise communication, actively listening to prompts and articulating your thoughts effectively.

📝 Enhancement Note: The interview process is designed to assess not only design skills but also strategic leadership, AI fluency, and the ability to navigate complex, emerging technological landscapes. The portfolio review is a critical component, requiring candidates to demonstrate tangible impact and a deep understanding of AI product design principles.

🛠 Tools & Technology Stack

Primary Tools:

• Design & Prototyping Software: Figma (highly likely, given industry trends and monday.com's likely adoption), Sketch, Adobe Creative Suite (Illustrator, Photoshop).

• Prototyping Tools: InVision, ProtoPie, or built-in Figma prototyping capabilities for creating interactive user flows.

• AI Tools & Workflows: Explicitly mentioned "Vibe Coding tools" and "Coding Agents." This suggests familiarity with AI-assisted design tools, AI coding assistants, or platforms for building/managing AI agents. Potential examples include GitHub Copilot, internal AI tools developed by monday.com, or relevant AI development platforms.

• Collaboration & Project Management: monday.com itself (as the product they are building for), Jira, Confluence, Slack.

Analytics & Reporting:

• Product Analytics Platforms: Tools like Amplitude, Mixpanel, or internal analytics dashboards to understand user behavior, agent performance, and feature adoption.

• Data Visualization Tools: Tableau, Looker, or similar tools for analyzing and presenting data insights, though often integrated into analytics platforms.

CRM & Automation:

• CRM: While not directly a design tool, familiarity with CRM systems (like Salesforce, or monday.com's own CRM capabilities) can provide context for sales and customer success workflows that agents might interact with.

• Automation Platforms: Understanding how agents integrate with or automate tasks within broader workflow automation tools.

📝 Enhancement Note: The toolkit emphasizes modern design software, with a significant emphasis on AI-specific tools and workflows. Familiarity with monday.com's own platform is a strong advantage, as is an understanding of how AI agents will interact with broader business systems.

👥 Team Culture & Values

Operations Values:

• Ownership & Builder Mindset: A strong emphasis on taking initiative, driving projects forward, and contributing to building new products and capabilities from the ground up.

• Curiosity & Learning: A culture that values exploration, asking questions, and continuous learning, especially in the rapidly evolving field of AI.

• High Standards & Craftsmanship: A commitment to delivering exceptional quality in design, execution, and user experience.

• Collaboration & Transparency: Open communication, active listening, and a willingness to share knowledge and provide constructive feedback across teams.

• Customer Focus: Deeply understanding user needs and leveraging data and research to create products that deliver significant value.

• Efficiency & Impact: A drive to optimize processes and workflows to maximize productivity and achieve meaningful business outcomes, particularly relevant to AI agents.

Collaboration Style:

• Cross-Functional Integration: Designers work hand-in-hand with Product Managers, Engineers, Researchers, and Data Scientists, forming integrated product teams.

• Feedback-Driven: A culture that embraces constructive critique and feedback as essential for growth and improvement, both individually and for the product.

• Knowledge Sharing: Encouragement of sharing learnings, best practices, and insights across the design guild and broader organization.

• Experimentation: A willingness to experiment with new tools, methodologies, and design approaches, particularly in the context of AI development.

📝 Enhancement Note: The values described align with a fast-paced, innovative tech environment focused on building cutting-edge products. The emphasis on "builder mindset" and "curiosity" is particularly relevant for a role defining entirely new AI experiences.

⚡ Challenges & Growth Opportunities

Challenges:

• Defining Novelty: The primary challenge is designing for a completely new category of AI agentic experiences, where established user paradigms may not exist. This requires immense creativity and the ability to invent new interaction models.

• Navigating Ambiguity: Working with non-deterministic AI systems and evolving technologies means dealing with inherent uncertainty and the need for flexible design approaches.

• Ensuring User Trust: Building user trust in autonomous agents is critical. Designers must find ways to make AI transparent, reliable, and predictable, or at least understandable when it's not.

• Cross-Platform Consistency: Maintaining a cohesive and consistent experience for building and interacting with agents across desktop and mobile platforms.

• Balancing Innovation with Scalability: Developing groundbreaking experiences while ensuring they can scale effectively across monday.com's large user base and integrate seamlessly into the existing ecosystem.

• Mentoring and Leading: Effectively mentoring designers on cutting-edge AI concepts and leading a team through the complexities of 0-to-1 product development.

Learning & Development Opportunities:

• AI Product Design Specialization: Deepen expertise in designing for AI, human-AI collaboration, and autonomous systems, becoming a leader in this emerging field.

• Strategic Product Leadership: Gain extensive experience in defining product vision, strategy, and roadmaps for highly impactful initiatives.

• Mentorship & Team Building: Develop strong leadership and people management skills by guiding and growing a design team.

• Industry Exposure: Potential to attend AI and design conferences, engage with the broader AI community, and represent monday.com's innovation.

• Technical Acumen: Enhance understanding of AI technologies, machine learning principles, and their application in product design.

📝 Enhancement Note: The challenges are significant but directly tied to the growth opportunities, positioning this role as a high-reward, high-impact position for ambitious designers.

💡 Interview Preparation

Strategy Questions:

• "How would you approach designing the initial user experience for building and configuring an AI agent on our platform?" (Focus on process, user needs, and iterative design.)

• "Describe a time you had to design for a complex, non-deterministic system. What were the challenges, and how did you ensure a good user experience?" (Demonstrates systems thinking and ambiguity navigation.)

• "How do you build trust between users and AI agents? What design patterns would you consider for this?" (Tests understanding of AI user psychology and trust-building strategies.)

Company & Culture Questions:

• "What excites you about monday.com and our mission to build an AI work platform?" (Shows research and alignment with company goals.)

• "How do you foster a collaborative and high-standard design culture within a team?" (Assesses leadership and team-building approach.)

• "How do you incorporate user research and data analytics into your design process, especially when dealing with novel AI experiences?" (Highlights data-informed decision-making.)

Portfolio Presentation Strategy:

• Structure for Impact: For each case study, clearly articulate the problem, your unique role, the constraints, your design process (emphasizing AI considerations), key decisions, trade-offs made, and the measurable outcomes.

• Deep Dive on AI Projects: Prioritize showcasing your experience with AI products, detailing your approach to user interaction, data interpretation, ensuring transparency, and building trust in AI.

• Systems Thinking Showcase: Use at least one project to powerfully demonstrate your ability to design holistically across platforms and product areas, illustrating how your solutions fit into a larger, interconnected system.

• Visual Storytelling: Use mockups, prototypes, and user flow diagrams to visually communicate your design solutions. Explain the 'why' behind your design choices.

• Prepare for Q&A: Anticipate questions about your decision-making, alternative solutions you considered, and how you would adapt your designs based on new data or user feedback.

📝 Enhancement Note: Interview preparation should focus on demonstrating strategic thinking, hands-on design craft for complex AI systems, and strong collaboration skills. Candidates must be ready to articulate their process for designing in ambiguous environments and building user trust in AI.

📌 Application Steps

To apply for this Lead Product Designer position:

• Submit your application through the provided Comeet application link.

• Tailor Your Resume: Highlight your experience in product design leadership, AI fluency (mentioning specific tools/projects if possible), systems thinking, and experience with complex/ambiguous product areas. Quantify achievements where possible.

• Curate Your Portfolio: Select 2-3 impactful case studies that best showcase your leadership, AI design experience, systems thinking, and ability to drive significant product impact. Ensure these are well-documented and visually compelling.

• Prepare Your Narrative: Practice articulating your design process, decision-making, and project outcomes clearly and concisely, especially for AI-related projects. Be ready to discuss your approach to leading design and mentoring.

• Research monday.com: Understand their product, mission, customer base, and recent developments, particularly their vision for AI and the "monday Agents" initiative.

⚠️ 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.