Lead Product Designer - monday Agents

📍 Job Overview

Job Title: Lead Product Designer - monday Agents

Company: monday.com

Location: Tel Aviv, Israel

Job Type: Full-time

Category: Product Design / UX/UI Design

Date Posted: 2026-06-16

Experience Level: 5-10 years

Remote Status: Hybrid

🚀 Role Summary

• Lead the end-to-end design vision and strategy for the innovative monday Agents product, shaping the future of human-AI collaboration within the monday.com platform.

• Drive exceptional craft and execution for agentic experiences across Desktop and Mobile, setting new interaction paradigms and design patterns for the broader ecosystem.

• Foster a high-performing design culture through mentorship, critique, and the adoption of advanced AI tools and workflows to optimize team productivity and impact.

• Collaborate closely with Product, Engineering, Data Science, and Research leadership to define strategic priorities, roadmaps, and the long-term direction of the monday Agents group.

📝 Enhancement Note: This role is positioned as a Design Lead within a highly strategic, forward-looking product group focused on AI agents. The emphasis on "0-to-1 experiences," "new interaction paradigms," and defining the "design language for an agentic era" suggests a significant opportunity for foundational design work and thought leadership, moving beyond incremental feature design. The requirement for "AI fluency" and experience with "Vibe Coding tools, Coding Agents" indicates a need for a designer who is not only adept at traditional product design but also deeply understands and can shape experiences involving AI execution and autonomous systems.

📈 Primary Responsibilities

• Own and articulate the end-to-end design vision and strategy for the monday Agents product, encompassing user creation, configuration, trust, and agent-human work handoffs.

• Define and establish novel interaction paradigms for human-AI collaboration, creating foundational patterns for the monday.com platform's agentic future.

• Partner with Product and Engineering leadership to shape strategic priorities, product roadmaps, and the long-term vision for the monday Agents group.

• Drive the delivery of high-impact, end-to-end agentic experiences on both Desktop and Mobile platforms, demonstrating exceptional interaction and visual design craft.

• Elevate the design quality and craft across the monday Agents team through robust design reviews, constructive critique sessions, and the establishment of clear quality standards.

• Champion the adoption and optimization of new AI tools, workflows, and methodologies to enhance personal and team impact and lead by example in adopting new ways of working.

• Mentor and coach designers within the group, fostering their professional growth and supporting them in delivering their best work.

• Cultivate a strong, collaborative design culture characterized by ownership, curiosity, and high standards within the monday Agents team.

• Collaborate with UX Research and Product Analytics to validate design concepts through rigorous testing, iteration, and analysis of user behavior and agent performance data.

• Contribute to the broader monday.com design culture by sharing learnings, driving cross-functional best practices, and advancing the overall craft of design within the organization.

📝 Enhancement Note: The responsibilities highlight a blend of strategic leadership, hands-on design execution, team mentorship, and cross-functional influence. The emphasis on "defining new interaction paradigms" and "establishing patterns the broader monday ecosystem will adopt" indicates a significant foundational impact. The need to "optimize your own and the team's impact by adopting new AI tools, workflows, and methodologies" underscores a forward-thinking approach to design practice, where embracing AI in the design process itself is a key expectation.

🎓 Skills & Qualifications

Education:

• While no specific degree is listed, a strong foundation in Design, Human-Computer Interaction, or a related field is implied by the nature of the role. Candidates with formal education in these areas will likely possess a strong theoretical understanding that complements practical experience. Experience:

• Minimum of 7+ years of progressive product design experience, demonstrating a clear trajectory of increasing responsibility and impact.

• Proven track record of leading design efforts for complex, high-stakes product areas, with a demonstrated ability to set vision, strategy, and a high bar for design craft.

• Extensive experience in shipping successful products across both Desktop and Mobile platforms, with a portfolio showcasing exceptional interaction and visual design execution.

• Significant experience in mentoring designers and actively contributing to elevating the design quality and output of those around you.

• Demonstrated ability to foster strong, collaborative design cultures rooted in ownership, curiosity, and high standards. Required Skills:

• Product Design: Comprehensive expertise in the end-to-end product design lifecycle, from concept to launch and iteration.

• AI Fluency: High level of comfort and practical experience with AI-powered tools and concepts, specifically mentioning "Vibe Coding tools" and "Coding Agents," and a proven ability to ship AI-driven experiences.

• Interaction Design: Deep understanding of user interaction principles, creating intuitive and engaging user flows, especially for novel and complex systems.

• Visual Design: Strong aesthetic sensibility and the ability to translate complex functionality into clear, compelling, and scalable visual interfaces.

• Systems Thinking: Ability to design holistic, consistent, and scalable experiences across multiple platforms and product areas, understanding interconnectedness and dependencies.

• Mentoring & Coaching: Proven ability to guide, develop, and inspire junior and mid-level designers.

• Stakeholder Management: Excellent collaboration and influence skills, with the ability to build trust and drive alignment with senior leaders across Product, Engineering, Data Science, and Research.

• User Research & Analytics: Experience partnering with research and analytics teams to validate designs, iterate based on data, and understand user behavior and product performance.

• Product Strategy: Ability to contribute to and shape strategic product direction, aligning design initiatives with business goals.

• Desktop & Mobile Design: Expertise in designing for diverse screen sizes and interaction models across web and mobile applications.

• Ambiguity Tolerance: Comfort navigating and designing within ambiguous problem spaces and for emerging interaction models, including non-deterministic systems.

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

Preferred Skills:

• SaaS Design Experience: Prior experience designing for Software-as-a-Service platforms, understanding B2B workflows and user needs.

• B2C/Enterprise Experience: Exposure to designing for both consumer and enterprise-level applications, understanding different user contexts and scales.

• AI/Automation/Agentic Product Design: Specific experience designing products directly related to AI, automation, or agent-based systems.

• Prototyping: Proficiency in various prototyping tools and methodologies to effectively communicate design concepts and test interactions.

📝 Enhancement Note: The requirements emphasize a senior-level designer with leadership potential, a strong portfolio, and a unique requirement for "AI Fluency" and hands-on experience with specific AI tools like "Vibe Coding" and "Coding Agents." This suggests the role is not just about designing interfaces but also understanding the underlying AI mechanics and how to represent them effectively to users. The "Systems Thinking" requirement is critical for designing cohesive experiences within the broader monday.com ecosystem.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Demonstrated Design Leadership: Showcase instances where you've set the vision, strategy, and craft bar for a significant product area, not just executed tasks.

• End-to-End Product Ownership: Present case studies that illustrate your involvement from initial concept and research through to shipping and iteration, highlighting your full lifecycle contribution.

• Impactful Shipped Products: Include examples of products you've designed that have demonstrably driven business impact, user engagement, or solved complex user problems, ideally on both Desktop and Mobile.

• Human-AI Collaboration: Feature projects, if applicable, that involve designing for AI, automation, or agentic systems, demonstrating your understanding of these complex interactions.

• Systems Thinking Examples: Illustrate your ability to design for consistency, scalability, and integration across platforms or within a larger product ecosystem.

• Mentorship & Influence: Provide evidence of how you've mentored designers or influenced product direction and design quality within a team or organization.

Process Documentation:

• Workflow Design & Optimization: Document how you approach understanding existing workflows (both user and internal design team workflows) and identify opportunities for improvement through design.

• Implementation & Automation: Show how your designs are translated into functional products, and how you've leveraged or designed for automation within user experiences.

• Measurement & Performance Analysis: Demonstrate how you utilize user research, product analytics, and agent performance data to validate designs, measure impact, and drive iterative improvements.

• Design System Contribution: If applicable, showcase how you've contributed to or utilized design systems to ensure consistency and efficiency across product experiences.

📝 Enhancement Note: For a Lead Product Designer role, especially one focused on a novel area like AI Agents, the portfolio must go beyond just visual mockups. It needs to showcase strategic thinking, leadership, problem-solving for complex systems, and measurable impact. The emphasis on "AI Fluency" and "Coding Agents" means portfolio pieces demonstrating experience with AI-powered workflows or systems will be highly advantageous. Documenting processes related to how designs are tested, iterated upon using data, and integrated into development is crucial.

💵 Compensation & Benefits

Salary Range:

• Given the "Lead Product Designer" title, 7+ years of experience, and the strategic importance of the "monday Agents" initiative, a competitive salary range for Tel Aviv, Israel, would likely fall between ₪400,000 - ₪650,000 annually, depending on the candidate's specific experience, negotiation skills, and the company's compensation bands for senior design roles. This range accounts for the high cost of living and the competitive tech market in Israel. Benefits:

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

• Stock Options/Equity: Participation in the company's growth and success.

• Professional Development Budget: Funds for conferences, courses, books, and other learning opportunities relevant to product design, AI, and leadership.

• Generous Paid Time Off: Vacation days, sick leave, and holidays.

• Parental Leave: Supportive policies for new parents.

• Hybrid Work Environment: Flexibility with a mix of in-office collaboration and remote work.

• Commuting Assistance/Reimbursement: Support for travel to the office.

• On-site Amenities: Depending on the Tel Aviv office, this could include meals, snacks, coffee, gym access, or other perks.

• Team Events & Social Activities: Opportunities for team building and fostering a strong company culture.

Working Hours:

• The standard work week is typically 40 hours. However, as a Lead Designer on a strategic initiative, there may be expectations for flexibility and occasional extended hours to meet project deadlines or critical launch windows. The hybrid model allows for some control over work scheduling.

📝 Enhancement Note: Compensation for senior design roles in leading tech companies in Israel is highly competitive. The estimated salary range is based on industry benchmarks for similar roles in Tel Aviv, considering the experience level and the strategic nature of the product group. Benefits are standard for a tech company of monday.com's caliber, with a focus on professional growth and work-life balance.

🎯 Team & Company Context

🏢 Company Culture

Industry: Software / Cloud Computing / AI / Work Management Platform

Company Size: 1,000 - 5,000 employees (as of recent public data)

Founded: 2012

• monday.com has grown rapidly since its founding, evolving into a major player in the Work OS market. This growth implies a culture that is dynamic, fast-paced, and adaptable, likely embracing innovation and continuous improvement. Team Structure:

• Agents Group: This is a specialized, cross-functional team focused on the "monday Agents" product. It will include Product Managers, Engineers (Backend, Frontend, AI/ML), Designers, UX Researchers, Data Scientists, and potentially Product Marketing.

• Reporting Structure: The Lead Product Designer will likely report to a Head of Design, Director of Product Design, or a senior design leader overseeing multiple product areas. They will work closely with the Product Lead and Engineering Lead for the Agents group.

• Cross-functional Collaboration: The culture emphasizes strong collaboration between Design, Product, and Engineering ("DP&E"). This role requires seamless partnership with these functions to define strategy, roadmap, and execution.

Methodology:

• Data-Driven Decision Making: The role involves partnering with Product Analytics and UX Research to test, iterate, and validate ideas using user data and agent performance metrics.

• Agile Development: Development likely follows agile methodologies, requiring iterative design, frequent feedback loops, and adaptability to changing requirements.

• Ownership Culture: monday.com promotes an "ownership-driven culture," meaning individuals are empowered to take initiative, make decisions, and drive projects forward with a sense of accountability.

• AI-First Mindset: For the Agents group, there's a clear emphasis on embracing and leveraging AI in both the product itself and the design process.

Company Website: https://monday.com/

📝 Enhancement Note: monday.com is known for its vibrant and energetic culture, often described as fast-paced and highly collaborative. The "ownership-driven culture" is a key differentiator, suggesting that individuals are empowered to take initiative and drive outcomes. For the "monday Agents" group, this culture will be amplified by a focus on innovation, AI, and defining new territory, requiring a team that is both autonomous and deeply collaborative.

📈 Career & Growth Analysis

Operations Career Level: Lead Product Designer

• This level signifies a senior individual contributor role with significant responsibility for product strategy, design vision, and execution within a specific product domain. It involves not only high-quality design work but also mentorship, influencing product direction, and driving process improvements. For "monday Agents," this is a critical role shaping a nascent, high-potential product line. Reporting Structure:

• The Lead Product Designer will report to a senior design leader (e.g., Director of Design, VP of Design) and will work in close partnership with the Product Lead and Engineering Lead for the monday Agents group. They will also mentor other designers within the group. Operations Impact:

• The "monday Agents" product is positioned as one of monday.com's "most strategic bets" and a "next-generation autonomous workforce ecosystem." The Lead Product Designer will have a direct and profound impact on defining how millions of users interact with AI agents, transforming workflows and productivity. This role is central to the success of this ambitious initiative and has the potential to set new industry standards for human-AI collaboration. Growth Opportunities:

• Design Leadership Expansion: Potential to grow into a Group Design Lead, Director of Design, or even VP of Design roles as the company and product lines expand.

• Specialization in AI/Agentic Design: Deepen expertise in a cutting-edge field, becoming a recognized authority in designing for autonomous systems and human-AI interaction.

• Product Strategy Influence: Further cement influence on product strategy and roadmap development for critical, high-impact initiatives.

• Cross-functional Leadership: Develop stronger leadership skills through extensive collaboration with Product, Engineering, and Data Science, potentially leading to broader strategic roles.

• Mentorship Development: Hone coaching and mentorship abilities, shaping the careers of emerging design talent.

📝 Enhancement Note: This is a significant growth opportunity for a designer looking to make a foundational impact on a new, strategic product line at a leading SaaS company. The "Lead" title implies a path towards more senior leadership roles, especially within a rapidly expanding and innovative area like AI agents. The role offers the chance to define future work paradigms, which is a high-impact career trajectory.

🌐 Work Environment

Office Type: Hybrid Work Environment

• The role is based in Tel Aviv, Israel, with a hybrid work arrangement. This means a combination of working from the monday.com office and remotely. The specific balance will likely be determined by team needs and individual preferences, fostering collaboration while offering flexibility. Office Location(s):

• Tel Aviv, Israel. monday.com has a significant presence in Tel Aviv, with modern offices designed to foster collaboration and innovation. Specific details about office amenities and accessibility can be found on their career page or by inquiring directly. Workspace Context:

• Collaborative Environment: The office space is likely designed to facilitate teamwork, with open areas, meeting rooms, and informal spaces conducive to brainstorming and cross-functional discussions.

• Operations Tools & Technology: Access to state-of-the-art design tools, collaboration software, and potentially AI-powered design assistance tools, aligning with the "AI fluency" requirement.

• Team Interaction: Opportunities for frequent, in-person interaction with design colleagues, product managers, engineers, and researchers, crucial for rapid iteration and problem-solving in a 0-to-1 product environment.

Work Schedule:

• Standard working hours are expected, but the hybrid model allows for some flexibility in structuring the work week. Given the nature of lead roles and strategic initiatives, an adaptable schedule to accommodate project needs and team collaboration is anticipated.

📝 Enhancement Note: The hybrid model is standard for many tech companies, balancing the benefits of in-person collaboration with the flexibility of remote work. For a design-lead role focused on innovation, the office environment likely offers ample space for creative sessions, workshops, and deep collaboration with cross-functional teams.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A recruiter will likely conduct an initial call to assess basic qualifications, cultural fit, and interest in the role.

• Portfolio Presentation & Discussion: Candidates will present their portfolio, focusing on 2-3 key projects that demonstrate their design leadership, strategic thinking, and experience relevant to the role (especially AI/complex systems). This will involve deep dives into problem definition, process, solutions, and impact.

• Design Exercise/Case Study: A take-home or live design challenge may be given to assess practical design skills, problem-solving abilities, and approach to a specific challenge related to AI agents or complex workflows.

• Cross-Functional Interviews: Interviews with Product Managers, Engineering Leads, and potentially other senior designers or stakeholders to evaluate collaboration skills, strategic thinking, and understanding of technical constraints.

• Hiring Manager/Senior Leadership Interview: A final interview with the hiring manager or a senior design leader to assess overall fit, leadership potential, and alignment with company values.

Portfolio Review Tips:

• Focus on Impact & Strategy: Prioritize projects that showcase how your design decisions led to measurable business or user outcomes. Clearly articulate the strategic rationale behind your design choices.

• Highlight Leadership & Mentorship: For a Lead role, emphasize instances where you've guided teams, mentored designers, or influenced product strategy.

• Showcase AI/Complex Systems Experience: If you have experience with AI, automation, or complex, non-deterministic systems, make these projects prominent. Explain your approach to designing for such environments.

• Structure Your Narrative: For each case study, clearly define the problem, your role, the process you followed, the solutions you proposed, and the results achieved. Use visuals effectively but ensure the story and impact are central.

• Be Prepared for Deep Dives: Expect detailed questions about your process, decision-making, and how you'd handle specific challenges relevant to monday Agents.

• Demonstrate Systems Thinking: Explain how your designs integrate with broader systems and maintain consistency across platforms.

Challenge Preparation:

• Understand the Domain: Research monday.com, their Work OS, and specifically the concept of AI Agents and autonomous work. Understand the potential challenges and opportunities.

• Practice Problem Decomposition: Be ready to break down complex problems into smaller, manageable parts.

• Articulate Your Process: Clearly communicate your design process, even for hypothetical scenarios. Emphasize how you would leverage research, data, and collaboration.

• Focus on AI Integration: If the challenge involves AI, think about how users interact with AI, how trust is built, how AI actions are communicated, and how errors or unexpected outcomes are handled.

• Presentation Skills: Practice presenting your ideas concisely and persuasively, anticipating questions from a cross-functional audience.

📝 Enhancement Note: The interview process is designed to assess strategic thinking, leadership, hands-on design craft, and collaboration. The portfolio review is critical, and candidates must be prepared to demonstrate not just design execution but also strategic vision and impact, particularly in the context of AI and complex systems. The emphasis on "AI fluency" means portfolio pieces showcasing this expertise will be highly valued.

🛠 Tools & Technology Stack

Primary Tools:

• Design & Prototyping: Figma (highly probable as industry standard for collaborative design), Sketch, Adobe Creative Suite (Photoshop, Illustrator).

• Prototyping Tools: InVision, Principle, Axure (for more complex interactive prototypes).

• AI Tools for Design: Candidates are expected to be proficient with or quickly adopt AI tools that assist in the design process, such as AI-powered content generation, ideation tools, or workflow automation within design tools. The mention of "Vibe Coding tools" suggests a need to understand and potentially design for AI-assisted coding or development workflows.

Analytics & Reporting:

• Product Analytics Platforms: Mixpanel, Amplitude, Google Analytics, or similar tools for tracking user behavior, feature adoption, and conversion funnels.

• Data Visualization Tools: Tableau, Power BI, or internal dashboards for reporting and communicating insights derived from analytics and research.

• A/B Testing Tools: Optimizely, VWO, or in-house solutions for experimental design and validation.

CRM & Automation:

• CRM: Salesforce, HubSpot (though less likely to be a primary tool for a designer, understanding its role in the customer lifecycle is beneficial).

• Project Management & Collaboration: Jira, Asana, Trello, Slack, Confluence for workflow management, communication, and documentation.

• User Research Platforms: UserTesting.com, Lookback, Maze for remote user testing and feedback collection.

📝 Enhancement Note: While specific tools beyond design software aren't explicitly listed for the designer's direct use, a strong understanding of the broader tech stack they interact with (analytics, project management, user research) is crucial. The mention of "Vibe Coding tools" and general "AI fluency" implies a need to be comfortable with or even leverage AI tools within the design workflow itself, not just for the end-user product.

👥 Team Culture & Values

Operations Values:

• Ownership: Taking responsibility for outcomes, driving initiatives forward autonomously, and feeling accountable for success.

• Curiosity: A drive to understand problems deeply, explore new ideas, and continuously learn, especially in the rapidly evolving field of AI.

• High Standards: Commitment to delivering exceptional quality in design, execution, and strategic thinking.

• Collaboration: Working effectively with cross-functional teams, valuing diverse perspectives, and fostering a supportive team environment.

• Impact-Driven: Focusing efforts on initiatives that deliver significant value to users and the business.

• AI-Forward: Embracing and actively exploring how AI can transform work and the design process itself.

Collaboration Style:

• Cross-functional Integration: Seamless partnership with Product Management and Engineering is paramount. Design is seen as a strategic partner, not just an execution function.

• Data-Informed Process: Designs are rigorously tested and validated with user research and analytics, leading to iterative improvements.

• Open Feedback Culture: Encouragement of constructive critique, open dialogue, and sharing of learnings to elevate the collective craft and product quality.

• Knowledge Sharing: Active participation in design guilds, sharing best practices, and contributing to the broader design community within monday.com.

📝 Enhancement Note: The core values of ownership, curiosity, and high standards are central to monday.com's culture and are particularly critical for a role defining new territory with AI Agents. The collaboration style is deeply integrated, requiring designers to be comfortable working shoulder-to-shoulder with engineers and product managers, driving decisions through data and user insights.

⚡ Challenges & Growth Opportunities

Challenges:

• Defining Novel Interaction Paradigms: Designing for AI agents is a nascent field with few established playbooks. Creating intuitive, trustworthy, and effective human-AI collaboration experiences will be a significant challenge.

• Balancing Innovation with Usability: Ensuring that cutting-edge AI capabilities are translated into user-friendly and accessible experiences for a broad audience.

• Managing Ambiguity and Non-Determinism: Working with AI systems that can have unpredictable outputs requires robust design strategies for error handling, user trust, and workflow management.

• Scaling Design Language: Establishing a design language for agentic experiences that can be adopted across the monday.com ecosystem while maintaining consistency and coherence.

• Influencing Beyond Design: Effectively communicating complex AI concepts and design strategies to diverse stakeholders and securing buy-in for innovative approaches.

Learning & Development Opportunities:

• Deep Expertise in AI/Agentic Design: Become a leader in a highly sought-after and rapidly evolving field.

• Strategic Product Influence: Gain significant experience shaping the direction of a core, strategic product initiative at a major SaaS company.

• Cross-Functional Leadership: Develop advanced skills in collaborating with and influencing Product, Engineering, and Data Science leaders.

• Mentorship & Team Building: Refine leadership capabilities by guiding and developing a talented design team.

• Industry Conferences & Training: Utilize professional development budgets for relevant AI, UX, and design leadership conferences and courses.

📝 Enhancement Note: The primary challenges stem from the cutting-edge nature of AI agents. Success will require significant problem-solving, creativity, and adaptability. The growth opportunities are substantial, offering a chance to become a pioneer in a transformative area of technology and product design.

💡 Interview Preparation

Strategy Questions:

• "How would you approach defining the core interaction model for a user building and configuring an AI agent within the monday.com platform?" (Focus on decomposition, user needs, iterative process).

• "Describe a time you had to design for a complex, ambiguous, or non-deterministic system. What was your approach, and what were the outcomes?" (Highlight systems thinking, risk mitigation, user trust).

• "How do you see AI agents fundamentally changing how people work, and what are the key design considerations for ensuring successful human-AI collaboration?" (Demonstrate forward-thinking, user-centricity, and understanding of AI impact). Company & Culture Questions:

• "What excites you about monday.com's mission and the 'monday Agents' product specifically?" (Research company values, product vision, and AI strategy).

• "How would you foster a culture of design excellence and mentorship within a fast-paced, cross-functional team?" (Discuss leadership style, feedback mechanisms, and team development).

• "Imagine you have data showing users are hesitant to trust the AI agents. What steps would you take as a designer to address this?" (Focus on user research, iterative design, and building confidence through UI/UX). Portfolio Presentation Strategy:

• Structure for Impact: For each case study, clearly articulate the problem statement, your specific role and responsibilities, your design process (emphasizing strategy and decision-making), the proposed solution(s), and the measurable results.

• Highlight AI/Complex Systems: If possible, feature projects that demonstrate your comfort with AI, automation, or complex systems. Explain how you approached designing for these.

• Showcase Leadership: For a Lead role, explicitly point out instances where you influenced strategy, mentored others, or drove significant product decisions.

• Be Ready for Deep Dives: Prepare to answer detailed questions about your methodologies, the trade-offs you made, and why you chose certain solutions over others.

• Demonstrate Systems Thinking: Explain how your designs fit into a larger product ecosystem and ensure consistency.

📝 Enhancement Note: Interview preparation should focus on demonstrating strategic thinking, leadership, hands-on design skills, and a deep understanding of AI's potential impact on work. Candidates should be ready to articulate their process and decisions with clarity, especially when discussing complex or novel design challenges.

📌 Application Steps

To apply for this Lead Product Designer position:

• Submit your application through the provided link on Ashby.

• Portfolio Customization: Curate your portfolio to prominently feature projects that highlight your design leadership, experience with complex systems, AI fluency, and impact on shipped products (Desktop & Mobile). Tailor your case study narratives to showcase strategic thinking and problem-solving relevant to AI Agents.

• Resume Optimization: Ensure your resume clearly articulates your 7+ years of experience, leadership responsibilities, and any specific achievements related to AI, complex product areas, or mentorship. Use keywords like "Product Design," "AI Fluency," "Systems Thinking," and "Design Leadership."

• Preparation for Portfolio Review: Practice presenting your portfolio, focusing on storytelling, strategic rationale, and measurable outcomes. Be ready to discuss your process in detail and answer in-depth questions about your design decisions, especially concerning AI and complex interactions.

• Company & Role Research: Thoroughly research monday.com, their Work OS, their approach to AI, and the specific vision for "monday Agents." Understand their company culture and values, particularly "ownership" and "curiosity."

⚠️ Important Notice: This enhanced job description includes AI-generated insights and industry-standard assumptions. All details should be verified directly with the hiring organization before making application decisions.