Lead Product Designer - AI Workflows

📍 Job Overview

Job Title: Lead Product Designer - AI Workflows

Company: monday.com

Location: Tel Aviv, Israel

Job Type: Full-time

Category: Product Design / AI / Automation

Date Posted: August 17, 2026

Experience Level: 7+ Years

Remote Status: Hybrid

🚀 Role Summary

• Lead the design vision and execution for cutting-edge AI-powered workflows and agentic experiences, shaping the future of work on the monday.com platform.

• Develop novel interaction paradigms for human-AI collaboration, establishing new patterns for a rapidly evolving technological landscape.

• Drive end-to-end product design ownership, from initial ideation and discovery through to polished execution across desktop and mobile platforms.

• Collaborate closely with Product Management and Engineering leads to define strategic priorities, roadmaps, and deliver impactful features.

• Leverage user research, product analytics, and a data-driven approach to validate designs and ensure optimal user outcomes.

📝 Enhancement Note: While the title is "Lead Product Designer," the responsibilities and requirements clearly indicate a senior individual contributor role with significant strategic influence, particularly in the nascent field of AI Workflows. The emphasis on "owning that vision end to end" and being an "equal partner" suggests a high degree of autonomy and impact, rather than purely people management. The target audience is experienced product designers with a strong aptitude for AI and complex systems.

📈 Primary Responsibilities

• Conceptualize, define, and ship end-to-end agentic AI experiences, encompassing user interaction with AI for building, configuring, and trusting automated processes.

• Design innovative interaction models for seamless human-AI collaboration, setting new standards and patterns for the monday.com ecosystem.

• Drive the adoption of new AI tools and workflows internally, championing efficiency and productivity gains within the design process.

• Take full ownership of features from ideation and user discovery through to polished visual and interaction design for both desktop and mobile interfaces.

• Partner with Product Management and Engineering leads to establish strategic priorities, define roadmaps, and ensure alignment with business objectives.

• Collaborate with UX Research and Product Analytics teams to rigorously test, iterate, and validate design concepts using user feedback and real-world usage data.

• Contribute actively to monday.com's design community by sharing learnings, promoting best practices, and elevating the overall craft of product design.

📝 Enhancement Note: The responsibilities emphasize a blend of strategic thinking, hands-on design execution, and cross-functional collaboration within the context of AI and automation. The role requires a designer comfortable with ambiguity and pioneering new interaction models.

🎓 Skills & Qualifications

Education: While no specific degree is mandated, a Bachelor's or Master's degree in Design, Human-Computer Interaction, Computer Science, or a related field is often preferred for senior design roles.

Experience: 7+ years of professional product design experience, with a proven track record of shipping impactful products and features.

Required Skills:

• 7+ years of comprehensive product design experience.

• High fluency in Artificial Intelligence (AI) concepts and a demonstrable history of working with AI tools, such as Vibe Coding tools and Coding Agents, and successfully launching these experiences into production.

• A strong portfolio showcasing shipped products and features that have driven tangible business impact on both desktop and mobile platforms.

• Exceptional interaction design and visual design skills, with an acute attention to detail and a deep understanding of user-centered design principles.

• Proven experience working with and effectively leveraging established Design Systems to ensure consistency and scalability.

• Robust systems design capabilities, with the ability to conceptualize and articulate how various interactions coalesce into cohesive and consistent user experiences across multiple platforms and devices.

• Comfort and proficiency in designing for ambiguous problem spaces, non-deterministic systems, and emerging interaction models.

• Demonstrated ability to validate and iterate on designs through user research, experimentation, and analysis of live usage data.

• Strong organizational and prioritization skills, coupled with meticulous attention to detail.

• Excellent collaboration and communication skills, embodying a team-first mindset.

• High proficiency in written and spoken English. Preferred Skills:

• Prior experience in SaaS, B2C, or enterprise-focused product design environments.

• Specific experience designing for AI, automation, or agentic products.

📝 Enhancement Note: The requirement for "High AI fluency and a proven track record working with Vibe Coding tools, Coding Agents" is a critical differentiator. Candidates must be able to articulate their experience with these specific AI paradigms and demonstrate how they've translated them into user-facing products. The portfolio should heavily feature AI-related projects.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• A comprehensive portfolio that clearly showcases shipped products and features, with a strong emphasis on those that have driven significant user or business impact.

• Detailed case studies for at least 2-3 key projects, illustrating the end-to-end design process from problem definition and user research to solution design, prototyping, and post-launch iteration.

• Demonstrations of experience designing for both desktop and mobile platforms, highlighting adaptability and platform-specific considerations.

• Evidence of working with and contributing to existing Design Systems, showcasing an understanding of scalability and consistency.

• Examples of designing for complex or ambiguous problem spaces, including non-deterministic systems and emerging interaction models, particularly related to AI. Process Documentation:

• Within case studies, articulate the design process followed, including:

  • Discovery & Research: How user needs and technical constraints were identified, particularly for AI workflows.
  • Ideation & Conceptualization: How novel interaction paradigms for human-AI collaboration were explored.
  • Design & Prototyping: The tools and methods used to create high-fidelity mockups and interactive prototypes.
  • Validation & Iteration: How user feedback, research findings, and usage data were incorporated to refine designs.
  • Collaboration: How you partnered with Product Managers and Engineers throughout the lifecycle.

📝 Enhancement Note: The portfolio is paramount for this role. It needs to go beyond just visuals and demonstrate a deep understanding of the design process, problem-solving capabilities, and a proven ability to deliver impactful AI-driven product experiences. Case studies should explicitly detail the challenges and solutions related to AI workflows and agentic experiences.

💵 Compensation & Benefits

Salary Range: For a Lead Product Designer with 7+ years of experience in Tel Aviv, Israel, the estimated annual salary range is typically between ₪350,000 and ₪550,000 gross per year. This range can vary based on the candidate's specific experience, the depth of their AI expertise, and performance during the interview process.

Benefits:

• Comprehensive health insurance coverage.

• Generous paid time off (PTO) and sick leave policies.

• Professional development opportunities, including access to training, conferences, and workshops focused on AI and design.

• Stock options or equity in a rapidly growing company.

• Opportunities to work with cutting-edge AI technologies and shape the future of a leading work platform.

• Hybrid work environment offering flexibility.

• Regular team events and social activities.

• Potential for performance-based bonuses.

Working Hours: Standard full-time position, typically around 40 hours per week. The hybrid model allows for flexibility in scheduling, balancing in-office collaboration with remote work.

📝 Enhancement Note: Salary estimates are based on industry benchmarks for senior product design roles in Israel, specifically within the tech sector and considering the specialized AI focus. Benefits are common for established tech companies in the region.

🎯 Team & Company Context

🏢 Company Culture

Industry: Software / AI / Collaboration / Productivity Platforms. monday.com operates in the highly competitive SaaS market, focusing on providing a flexible Work OS that integrates various business functions and leverages AI to enhance automation and productivity.

Company Size: Large (500+ employees, likely exceeding 2,000 given monday.com's public profile). This indicates a structured organization with established processes, but also the potential for rapid growth and innovation within specific product areas.

Founded: 2012. Founded in 2012, monday.com has a history of innovation and scaling, evolving from a project management tool to a comprehensive AI work platform.

Team Structure:

• The "AI Workflows" team is likely a specialized unit within the broader Product organization.

• It will consist of a Product Lead, Engineering Leads, and a team of Product Designers and Engineers focused on AI and automation features.

• Designers will work in close partnership with Product Managers and Engineers, forming agile, cross-functional pods.

• Reporting structure will likely involve a Design Manager or Head of Product Design overseeing multiple product design leads. Methodology:

• Agile Development: The team will operate using agile methodologies, likely Scrum or Kanban, emphasizing iterative development and rapid feedback loops.

• Data-Driven Design: Strong reliance on product analytics and UX research to inform design decisions and measure impact.

• AI-First Approach: A culture that embraces AI as a core component of product strategy and user experience.

• Ownership Culture: Employees are encouraged to take initiative and ownership of their work, driving projects from conception to completion.

Company Website: https://monday.com/

📝 Enhancement Note: The company culture is described as "ownership-driven" and fast-paced, with an emphasis on building impactful products. The AI Workflows team is positioned at the forefront of this innovation, suggesting an environment that rewards initiative and strategic thinking.

📈 Career & Growth Analysis

Operations Career Level: This role represents a senior individual contributor (IC) position at the "Lead" level within Product Design. It signifies a high degree of expertise, strategic influence, and the ability to tackle complex, 0-to-1 product challenges. The focus is on leading the design direction for a critical new product area rather than managing a team directly, though mentorship of junior designers is often expected.

Reporting Structure: The Lead Product Designer will report to a Design Manager or Head of Product Design. They will work as an equal partner with Product Management and Engineering leads for the AI Workflows domain, indicating a collaborative and integrated leadership structure within the team.

Operations Impact: The role has a direct and significant impact on the company's strategic vision and competitive positioning in the AI space. By shaping the AI Workflows experience, the designer will influence how millions of users interact with AI, directly contributing to product adoption, user satisfaction, and ultimately, revenue growth. The success of these AI features will be a key driver for monday.com's evolution as an AI work platform.

Growth Opportunities:

• Specialization: Deepen expertise in AI product design, human-AI interaction, and agentic systems, becoming a recognized authority in this emerging field.

• Leadership: Transition into a formal people management role (Design Manager) or a principal/staff design role with broader strategic scope across multiple product areas.

• Influence: Gain significant visibility and influence across the product organization and with senior leadership, shaping the company's AI product strategy.

• Skill Development: Continuously learn and apply new AI technologies and design methodologies, staying at the forefront of the industry.

📝 Enhancement Note: The "Lead" title here emphasizes design leadership and strategic impact within a specific product domain, rather than direct people management. The growth path is clearly defined towards deeper specialization in AI design or broader strategic design leadership.

🌐 Work Environment

Office Type: The role is based in Tel Aviv, Israel, and operates under a Hybrid work model. This suggests a modern office environment designed to facilitate collaboration, with dedicated spaces for team meetings, brainstorming, and focused work.

Office Location(s): Tel Aviv, Israel. Specific office details would need to be confirmed, but it's likely a well-equipped, central location within the city, accessible via public transportation.

Workspace Context:

• Collaborative Spaces: The office will likely feature open-plan areas, meeting rooms, and project spaces designed to encourage cross-functional interaction between design, product, and engineering teams.

• Technology: Access to high-performance workstations, advanced design software, and potentially specialized hardware or AI development tools.

• Team Interaction: Regular opportunities for in-person collaboration, design critiques, and knowledge-sharing sessions with colleagues, fostering a strong team dynamic.

Work Schedule: The hybrid arrangement allows for flexibility, typically involving 2-3 days per week in the office for collaborative activities, with the remaining days available for remote work. This schedule supports focused design work while ensuring team cohesion and in-person synergy.

📝 Enhancement Note: The hybrid nature of the role is a key aspect of the work environment, balancing the benefits of in-office collaboration with the flexibility of remote work. This is crucial for designers needing focused time for deep work alongside collaborative sessions.

📄 Application & Portfolio Review Process

Interview Process:

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

• Portfolio Review & Design Challenge: A deeper dive into the candidate's portfolio, likely followed by a take-home design challenge or an in-person/virtual whiteboarding session focused on a hypothetical AI workflow problem.

• Team Interviews: Meetings with Product Management, Engineering Leads, and potentially other Designers to evaluate technical skills, collaboration style, and strategic thinking.

• Hiring Manager Interview: A final conversation with the Design Manager or Head of Design to discuss role expectations, career growth, and overall alignment.

Portfolio Review Tips:

• Focus on AI & Ambiguity: Showcase projects that demonstrate your ability to design for complex, non-deterministic systems and human-AI interaction. Highlight your thought process for tackling these novel challenges.

• Quantify Impact: For each case study, clearly articulate the problem, your solution, the design process, and the measurable impact (e.g., user adoption, efficiency gains, conversion rates). Use data where possible.

• Systemic Thinking: Demonstrate an understanding of how your designs fit within a larger product ecosystem and a design system. Show examples of how you've maintained consistency or extended existing patterns.

• Storytelling: Present your work as compelling narratives. Clearly explain the context, your role, the challenges you faced, your design decisions, and the outcomes.

• Desktop & Mobile: Ensure your portfolio includes strong examples of both desktop and mobile design, demonstrating your versatility.

Challenge Preparation:

• AI Workflow Thinking: Practice thinking through how users would interact with AI agents to automate tasks. Consider potential failure points, user trust, and feedback mechanisms.

• Design System Application: Be prepared to discuss how you would leverage or extend an existing design system for new AI features.

• Problem Decomposition: For any design challenge, break down the problem into smaller, manageable parts and articulate your approach systematically.

• Collaboration Simulation: Prepare to discuss how you would collaborate with PMs and Engineers, anticipating their perspectives and potential roadblocks.

📝 Enhancement Note: The interview process will heavily scrutinize the candidate's ability to translate complex AI concepts into intuitive user experiences. The portfolio and design challenge are critical for demonstrating this capability.

🛠 Tools & Technology Stack

Primary Tools:

• Design & Prototyping: Figma (highly likely, given industry standard), Sketch, Adobe Creative Suite.

• Collaboration & Communication: Slack, Microsoft Teams, Zoom.

• Project Management: monday.com (internal use), Jira, Asana.

Analytics & Reporting:

• Product Analytics: Mixpanel, Amplitude, Google Analytics.

• User Research Tools: UserTesting.com, Lookback, Hotjar.

• Data Visualization: Tableau, Power BI (less likely for direct design use, but understanding is beneficial).

CRM & Automation:

• CRM: Salesforce (for understanding enterprise context).

• Automation Tools: Understanding of workflow automation concepts is key; specific tools might include Zapier, or internal monday.com automation features.

📝 Enhancement Note: Proficiency in Figma is almost a given for a senior product designer at a company like monday.com. Experience with analytics and user research tools is crucial for a data-driven design approach. Familiarity with the monday.com platform itself, or similar workflow/automation tools, would be a significant advantage.

👥 Team Culture & Values

Operations Values:

• Ownership: Taking full responsibility for projects from inception to completion, driving initiatives forward with a proactive mindset.

• Collaboration: Working seamlessly with cross-functional teams (Product, Engineering, Research) to achieve shared goals.

• Innovation: Continuously exploring new ideas, technologies (especially AI), and design approaches to solve user problems.

• Data-Driven Decision Making: Relying on user research, analytics, and experimentation to validate design choices and measure impact.

• Craftsmanship: A commitment to high-quality design execution, attention to detail, and user experience excellence.

Collaboration Style:

• Cross-Functional Partnership: Designers are integrated into product teams, working as equals with PMs and Engineers.

• Open Communication: Encouraging direct and honest feedback through design critiques, reviews, and regular team syncs.

• Knowledge Sharing: A culture of sharing learnings, best practices, and insights across the design team and broader organization.

• Iterative Improvement: Embracing a mindset of continuous learning and refinement based on feedback and data.

📝 Enhancement Note: The "ownership-driven culture" is a recurring theme. Candidates should be prepared to demonstrate initiative and a proactive approach to problem-solving, especially within the context of new AI functionalities.

⚡ Challenges & Growth Opportunities

Challenges:

• Designing for Ambiguity: Navigating the uncharted territory of AI workflows and agentic experiences, where established design patterns may not exist.

• Building User Trust in AI: Designing interfaces that foster user confidence and understanding of AI-driven actions and decisions.

• Balancing Complexity and Simplicity: Creating powerful AI tools that are intuitive and accessible to a broad user base, not just AI experts.

• Rapid Technological Evolution: Keeping pace with the fast-moving field of AI and integrating new capabilities into the product effectively.

• Cross-Platform Consistency: Ensuring a cohesive and intuitive experience across desktop and mobile devices for complex AI workflows.

Learning & Development Opportunities:

• AI Specialization: Becoming a leader in designing for AI, machine learning, and agentic systems.

• Cutting-Edge Technology: Working with the latest AI advancements and contributing to their productization.

• Strategic Impact: Influencing the direction of AI product strategy for a leading work platform.

• Mentorship: Opportunity to mentor junior designers and contribute to the growth of the design team.

• Industry Exposure: Attending AI and design conferences, participating in workshops, and staying ahead of industry trends.

📝 Enhancement Note: The primary challenge and growth opportunity lie in pioneering the design of AI-driven workflows. This role offers a chance to define new interaction paradigms and significantly shape the future of how people work with AI.

💡 Interview Preparation

Strategy Questions:

• "Describe a time you designed for a complex, non-deterministic system. What were the key challenges and how did you address them?" (Focus on your process for handling ambiguity and user uncertainty).

• "How would you approach designing an AI agent that needs to collaborate with a human user to complete a complex task? What are the critical interaction points and potential pitfalls?" (Demonstrate your understanding of human-AI collaboration and agentic systems).

• "Imagine you need to design a new workflow automation feature using AI. How would you validate user needs and ensure the AI's actions are trustworthy and aligned with user intent?" (Highlight your user research, data validation, and trust-building design strategies). Company & Culture Questions:

• "What excites you about monday.com's vision for an AI work platform, and how do you see your role contributing to it?" (Showcase your understanding of the company's strategic direction).

• "Describe your experience working within an 'ownership-driven' culture. How do you take initiative and drive projects forward?" (Provide specific examples of your proactive approach).

• "How do you collaborate with Product Managers and Engineers, especially when dealing with new and evolving technologies like AI?" (Emphasize your partnership and communication skills). Portfolio Presentation Strategy:

• Narrative Structure: For each case study, start with the "why" – the problem and its impact. Clearly define your role and the scope of your involvement.

• Process Visualization: Use diagrams, flowcharts, and screenshots to illustrate your design process, from research to final execution.

• AI Focus: Specifically call out how you addressed AI-specific challenges, such as user trust, interpretability, or the non-deterministic nature of AI.

• Metrics & Impact: Quantify the results of your work whenever possible. If direct metrics aren't available, discuss the intended impact and how you would measure it.

• Desktop vs. Mobile: Clearly differentiate your design considerations and solutions for desktop and mobile platforms.

📝 Enhancement Note: Interview preparation should heavily focus on articulating the design process for novel AI experiences, demonstrating an understanding of human-AI interaction, and showcasing an ability to work within a fast-paced, collaborative, and ownership-driven environment.

📌 Application Steps

To apply for this Lead Product Designer position:

• Submit your application through the provided link on Ashby.

• Portfolio Customization: Tailor your portfolio to prominently feature your experience with AI, automation, and complex systems. Highlight case studies that demonstrate your ability to design for ambiguity and human-AI collaboration.

• Resume Optimization: Ensure your resume clearly lists your 7+ years of product design experience and explicitly mentions AI fluency, experience with coding agents, and shipped AI-powered features. Use keywords from the job description.

• Interview Preparation: Practice articulating your design process, particularly for AI-driven features, and prepare to discuss your approach to user trust, non-deterministic systems, and cross-platform design. Be ready to present your portfolio with a focus on impact and problem-solving.

• Company Research: Familiarize yourself with monday.com's AI strategy, their existing platform capabilities, and their company values. Understand how your skills and experience align with their mission to build an AI work platform.

⚠️ Important Notice: This enhanced job description includes AI-generated insights and industry-standard assumptions. All details should be verified directly with monday.com during the application and interview process.