Lead Product Designer, Applied AI

📍 Job Overview

Job Title: Lead Product Designer, Applied AI

Company: Jobgether (Partner Company)

Location: Israel

Job Type: Full-time

Category: Product Design / Applied AI

Date Posted: March 3, 2026

Experience Level: 6+ Years

Remote Status: Fully Remote

🚀 Role Summary

• Drive the design strategy and execution for AI-native product experiences, focusing on intelligent agents, copilots, and automated workflows.

• Shape user journeys by integrating complex machine learning capabilities into intuitive, trustworthy, and empowering interfaces.

• Tackle critical design challenges related to transparency, user control, and trust in non-deterministic AI systems.

• Operate autonomously within a remote-first environment, taking ownership from discovery through iteration and launch.

• Partner strategically with engineering and applied AI teams to influence product direction and roadmap decisions.

📝 Enhancement Note: This role is specifically for a Lead Product Designer focused on the burgeoning field of Applied AI. The emphasis on "AI-native experiences" and "non-deterministic systems" indicates a need for a designer comfortable with the unique challenges of designing for AI, including uncertainty, explainability, and user trust. The "remote-first" aspect and global nature of the company suggest a strong need for asynchronous communication and collaboration skills.

📈 Primary Responsibilities

• Own and lead the end-to-end design strategy for all Applied AI product surfaces, from initial user research and concept definition to final implementation and ongoing iteration.

• Translate advanced AI and machine learning capabilities into clear, intuitive, and user-centric experiences, including intelligent agents, copilots, and sophisticated workflow automation tools.

• Define and establish scalable design patterns for AI-assisted and AI-automated actions, encompassing triggering mechanisms, real-time monitoring, error correction flows, and user-initiated editing capabilities.

• Design with a strong emphasis on transparency, control, and user trust, ensuring users can comprehend AI behavior, understand its limitations, and maintain meaningful oversight over outputs.

• Rapidly prototype AI-powered features and concepts using advanced prototyping tools, conducting rigorous user testing and feedback loops to validate design decisions and iterate effectively.

• Serve as a key strategic partner to Product Management and Engineering teams, actively contributing to roadmap planning, influencing product vision, and advocating for user-centered AI design principles.

• Collaborate closely with engineering and Machine Learning (ML) teams throughout the development lifecycle, adapting designs as AI capabilities evolve and new technical opportunities arise.

• Provide thought leadership and contribute to the continuous improvement of design standards, systems, and best practices within the organization, particularly in the domain of AI and User Experience (UX).

📝 Enhancement Note: The responsibilities highlight a senior-level design role that requires not only strong UX/UI skills but also strategic thinking and an understanding of AI's complexities. The emphasis on defining "scalable patterns" and "designing for transparency and trust" points towards the need for a designer who can build foundational design systems for AI features. Collaboration with ML teams is crucial, implying a need for technical curiosity and the ability to communicate design needs effectively to technical stakeholders.

🎓 Skills & Qualifications

Education: While no specific degree is mandated, candidates are expected to possess a comprehensive understanding of design principles and AI/ML concepts equivalent to a Bachelor's or Master's degree in Design, Human-Computer Interaction, Computer Science, or a related field.

Experience: 6+ years of professional product design experience with a proven track record of delivering exceptional user experiences and visually refined interfaces.

Required Skills:

• Portfolio Excellence: A strong, compelling portfolio showcasing deep UX expertise, refined visual craft, and successful product design outcomes, with specific examples of AI-powered products, conversational interfaces, or complex automation tools.

• AI Product Design: Demonstrated experience in designing and shipping AI-powered products, conversational AI, intelligent agents, copilots, or sophisticated workflow automation tools.

• AI Workflow Integration: Active and demonstrable use of AI tools within your personal design workflow (e.g., for research, ideation, prototyping, content creation, visual generation) with the ability to articulate how AI enhances your process.

• AI Prototyping Tools: Hands-on experience with emergent AI-assisted prototyping tools such as v0, Lovable, Cursor + Claude Code, or similar platforms.

• Prototyping Proficiency: Advanced prototyping skills, with the ability to independently build realistic, interactive prototypes that effectively communicate design intent and user flows.

• Figma Expertise: High proficiency in Figma for creating high-fidelity designs, managing collaborative workflows, and developing design systems.

• Communication Acumen: Exceptional written and verbal communication skills, with a particular emphasis on clarity and effectiveness in asynchronous and remote communication environments.

• Ambiguity Navigation: Demonstrated comfort and success operating in ambiguous environments, with the ability to clearly define problems, develop structured approaches, and build solutions without pre-existing patterns.

• Detail Orientation: Meticulous attention to detail, ensuring the delivery of polished, production-ready design assets and specifications.

• Language Proficiency: Professional-level English proficiency (CEFR C2 / ILR Level 5) for effective communication in a global, remote team.

Preferred Skills:

• Experience with user research methodologies specifically tailored for AI products.

• Understanding of machine learning concepts and their implications for user experience.

• Familiarity with A/B testing and data analysis for design optimization.

• Experience in leading design initiatives or mentoring junior designers.

📝 Enhancement Note: The requirements strongly emphasize practical experience with AI tools and AI-powered product design. The explicit mention of AI-assisted prototyping tools suggests the company is at the forefront of AI adoption in design. The need for "active use of AI within your design workflow" is a key differentiator, pushing candidates to be practitioners, not just theorists, of AI in design.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• AI Product Case Studies: Showcase 2-3 detailed case studies focusing on the design of AI-powered products, intelligent agents, or automation tools. These should clearly articulate the problem, your design process, the AI capabilities involved, and the resulting user impact.

• UX Excellence: Demonstrate a strong foundation in user-centered design principles, including user research, information architecture, interaction design, and usability testing, with evidence of problem-solving for complex systems.

• Visual Craftsmanship: Present high-fidelity mockups and design artifacts that exemplify refined visual design, attention to detail, and a consistent aesthetic applied across different platforms or product surfaces.

• Prototyping Examples: Include interactive prototypes (links to Figma, InVision, or other platforms) that effectively demonstrate complex user flows, AI interactions, and the overall user experience.

• AI Tool Integration: Explicitly highlight how AI tools were used in your design process for research, ideation, content generation, or visual creation, explaining the benefits and outcomes.

Process Documentation:

• Workflow Design: Detail your approach to mapping and optimizing user workflows, particularly those involving AI-driven automation or assistance, showing how you identified inefficiencies and designed improvements.

• Systemic Thinking: Demonstrate your ability to design for scalability and consistency, showing how you contributed to or leveraged design systems and patterns for AI features.

• Iterative Improvement: Provide examples of how you incorporated user feedback and performance data to iterate on designs, especially in the context of AI feature refinement and optimization.

📝 Enhancement Note: The portfolio requirements are highly specific to AI product design. Candidates must be prepared to demonstrate not just general design skills but also their practical application in the AI domain, including the use of AI tools in their own workflow and the design of AI-specific features. The emphasis on "process documentation" within the portfolio suggests a need to articulate the 'how' and 'why' behind design decisions, especially concerning AI.

💵 Compensation & Benefits

Salary Range: $140,000 – $170,000 USD per year.

• Note: The final salary offered will be determined based on the candidate's experience level and alignment with the role's requirements. Annual compensation reviews are standard.

• Regional Consideration: While the role is remote, the provided USD salary range suggests a global benchmark or a strong preference for candidates in regions where such compensation is competitive. For candidates in Israel, this range is generally considered high for a Lead Product Designer role, reflecting the company's commitment to attracting top talent for this specialized position. Research into local market rates for senior, remote-first design roles in Israel would be beneficial for context.

Benefits:

• Competitive Salary: As outlined above, with annual reviews.

• Equity Participation: Opportunity for ownership in a high-growth company.

• Fully Remote Work: Freedom to work from anywhere globally, fostering autonomy and work-life integration.

• Generous Paid Time Off: 35 days of paid time off annually, providing ample opportunity for rest and rejuvenation.

• Paid Sabbatical: A paid sabbatical after 5 years of service, recognizing long-term commitment.

• Comprehensive Healthcare: 100% coverage for employees and their families in applicable regions, or reimbursement options, ensuring well-being.

• Parental Leave: Support for growing families, promoting work-life balance during significant life events.

• Home Office Stipend: Financial support to create an optimal remote work setup.

• Learning & Development Stipend: Funding for continuous professional growth, skill enhancement, and industry knowledge acquisition.

• Annual Bonus Eligibility: Potential for additional compensation based on performance and company success.

• Global Company Retreats: Biannual, fully funded retreats in inspiring destinations, fostering team cohesion and strategic alignment.

Working Hours: While not explicitly stated in hours, the "fully remote" and "autonomous" nature suggests flexibility. However, given the global team and the need for collaboration, a standard 40-hour work week is a reasonable expectation, with an emphasis on asynchronous communication and meeting availability across different time zones.

📝 Enhancement Note: The compensation and benefits package is highly attractive, particularly for a remote role. The generous PTO, global retreats, and comprehensive healthcare indicate a company that prioritizes employee well-being and fosters a strong sense of community despite the remote setup. The salary range is competitive, especially for a Lead Product Designer role, and the equity participation offers significant long-term upside.

🎯 Team & Company Context

🏢 Company Culture

Industry: Technology / Applied AI / Creator Economy Platform (Inferred). The role is for a "partner company" of Jobgether, which specializes in AI-powered matching for job applications. The focus on "Applied AI," "creators," and "businesses" suggests the client company operates in a B2B or B2B2C SaaS model, likely serving professionals who leverage AI for productivity or creative output.

Company Size: Not explicitly stated, but the "remote-first," "highly autonomous," and "global company retreats" suggest a growing, potentially mid-sized to large startup or a well-established tech company with a distributed workforce. The mention of "engineering and applied AI teams" implies a substantial technical organization.

Founded: Not specified, but the focus on cutting-edge AI implies a company that is either recently founded with a strong AI focus or has pivoted to heavily invest in AI.

Team Structure:

• AI & Design Synergy: The role sits at the intersection of Product Design, Engineering, and Applied AI teams. The Lead Product Designer will work closely with these groups, acting as a bridge between technical AI capabilities and user-facing product experiences.

• Cross-Functional Collaboration: Expect close collaboration with Product Managers to define strategy and roadmaps, and with Engineering/ML teams to understand technical constraints and opportunities, and to ensure successful implementation.

• Remote-First Operations: The team operates in a remote-first environment, emphasizing asynchronous communication, clear documentation, and intentional collaboration to overcome geographical distances.

Methodology:

• AI-Driven Product Development: The company is likely employing agile methodologies adapted for AI development, which can involve iterative experimentation, continuous learning from model performance, and user feedback loops to refine AI features.

• User-Centric AI Design: A core methodology will be translating complex AI into intuitive user experiences, focusing on user trust, transparency, and control. This involves research, rapid prototyping, and iterative user testing.

• Data-Informed Decisions: Leveraging data from user interactions, AI model performance, and business metrics to inform design decisions and product strategy.

Company Website: [ Jobgether's website is jobgether.com, but the partner company's website is not provided. ]

📝 Enhancement Note: The company culture is likely to be innovative, fast-paced, and highly collaborative, with a strong emphasis on AI technology and user experience. The remote-first nature means strong emphasis on self-management, clear communication, and documentation. The "creator economy" aspect suggests a focus on empowering users with powerful tools.

📈 Career & Growth Analysis

Operations Career Level: This is a "Lead" Product Designer role, signifying a senior individual contributor position with leadership responsibilities within the design domain. It implies ownership of significant product areas and the potential to influence design strategy and best practices.

Reporting Structure: While not explicitly stated, a Lead Product Designer typically reports into a Head of Design, Director of Product Design, or potentially a VP of Product. They will work closely with Product Managers and Engineering Leads. The "highly autonomous" nature of the role suggests a flat hierarchy within the design team, with significant decision-making authority.

Operations Impact: The role has a direct and profound impact on the company's core product offering by shaping how users interact with and benefit from Applied AI. Successful design will lead to increased user adoption, engagement, satisfaction, and ultimately, revenue, by making powerful AI capabilities accessible and valuable. The designer's work will be instrumental in differentiating the company's product in a competitive AI landscape.

Growth Opportunities:

• Design Leadership: Potential to grow into a Design Manager or Director role, leading larger design teams and setting broader design strategy for the company.

• Specialization: Deepen expertise in AI/ML product design, becoming a go-to expert in this specialized and high-demand field.

• Product Strategy Influence: Further develop strategic influence, contributing more significantly to product roadmap and company-level vision.

• Cross-Functional Leadership: Take on broader responsibilities, potentially leading cross-functional initiatives or driving innovation across product development.

• Mentorship: Opportunity to mentor and guide junior designers, sharing knowledge and fostering talent within the team.

📝 Enhancement Note: This is a significant leadership opportunity within the product design function, especially for those passionate about AI. The "Lead" title suggests a clear path for growth into management or deeper specialization, aligning with the company's growth trajectory.

🌐 Work Environment

Office Type: Fully Remote. The company operates in a "remote-first" model, meaning there is no central physical office, or any physical offices are secondary to the remote operational structure.

Office Location(s): While the job is posted for "Israel," the "fully remote" status implies candidates can work from anywhere globally, though there might be considerations for time zones or legal entities. The company also holds "biannual, fully funded global company retreats in inspiring destinations," which are key in-person touchpoints.

Workspace Context:

• Autonomy & Flexibility: The remote-first environment offers high autonomy and flexibility in managing one's workday and work location.

• Asynchronous Collaboration Tools: Expect heavy reliance on tools for asynchronous communication (e.g., Slack, email, project management software) and documentation (e.g., Notion, Confluence) to facilitate collaboration across time zones.

• Global Connectivity: Opportunities to connect with a diverse, international team during virtual meetings and in-person retreats.

• Dedicated Remote Setup: The home office stipend supports the creation of a productive and comfortable personal workspace.

Work Schedule: The role is full-time, but the remote nature likely allows for flexible working hours, provided that core collaboration times and project deadlines are met. Emphasis will be on output and effective communication rather than strict adherence to a 9-to-5 schedule.

📝 Enhancement Note: The work environment is designed for individuals who thrive in autonomous, remote settings and excel at self-management and asynchronous communication. The global retreats are a key feature for fostering team cohesion and in-person collaboration.

📄 Application & Portfolio Review Process

Interview Process:

1. Application & AI Screening: Initial application submitted via Jobgether, which uses AI for an objective and quick review against core requirements.

2. Hiring Manager/Team Screen: A preliminary conversation with the hiring manager or a senior member of the design/product team to assess fit, experience, and initial alignment.

3. Portfolio Review & Design Challenge: A deep dive into your portfolio, focusing on your AI design experience and process. This may include a take-home design challenge or a live design critique session focused on AI-related problems.

4. Cross-Functional Interviews: Interviews with key stakeholders from Engineering, Product Management, and potentially Applied AI teams to evaluate collaboration skills, strategic thinking, and understanding of AI capabilities.

5. Final Interview / Executive Review: A final conversation, potentially with a senior leader, to discuss vision, leadership potential, and overall cultural fit.

Portfolio Review Tips:

• Highlight AI Impact: Clearly articulate the specific AI technologies or concepts you worked with and how your design decisions enabled or enhanced them.

• Showcase Process: Detail your problem-solving methodology, especially how you navigated ambiguity and user trust challenges in AI design. Use diagrams, flowcharts, and narrative to illustrate your thinking.

• Quantify Results: Where possible, include metrics or user feedback that demonstrate the success of your designs. For AI products, this might relate to task completion rates, user satisfaction with AI outputs, or adoption of AI features.

• Demonstrate Tool Proficiency: Explicitly mention and show examples of your work with Figma, AI prototyping tools (v0, Cursor, etc.), and other relevant software.

• Remote Communication Skills: Ensure your portfolio is well-organized, easy to navigate, and clearly written, reflecting your ability to communicate effectively in a remote setting.

Challenge Preparation:

• AI Use Case Analysis: Be prepared to analyze a given AI product or feature, identifying design strengths, weaknesses, and opportunities for improvement, focusing on AI-specific aspects like transparency and control.

• Prototyping Exercise: Practice building quick, interactive prototypes that illustrate your proposed solutions to an AI-related design problem.

• Strategic Thinking: Prepare to discuss how AI can be leveraged to solve specific user problems or business challenges, and how you would approach designing such solutions.

• Stakeholder Collaboration: Think about how you would collaborate with ML engineers and product managers to translate AI capabilities into user-friendly features.

📝 Enhancement Note: The interview process is structured to thoroughly assess a candidate's suitability for a specialized AI design role. The emphasis on AI tools, AI product experience, and the ability to navigate ambiguity suggests that candidates will be tested on their practical application of AI in design and their strategic thinking.

🛠 Tools & Technology Stack

Primary Tools:

• Figma: The primary tool for high-fidelity design, collaborative workflows, and potentially design system management. Expect advanced usage for complex layouts and interactive elements.

• AI-Assisted Prototyping Tools: Hands-on experience with tools like v0, Lovable, Cursor + Claude Code, or similar platforms is explicitly required. This indicates the company is leveraging cutting-edge tools for AI-driven design and prototyping.

• Prototyping Software: Beyond AI-specific tools, proficiency in standard prototyping tools (e.g., InVision, ProtoPie) may be beneficial for demonstrating complex interactions.

Analytics & Reporting:

• User Analytics Platforms: Experience with tools like Amplitude, Mixpanel, or Google Analytics to track user behavior, feature adoption, and AI interaction patterns.

• A/B Testing Tools: Familiarity with platforms for experimenting with different design variations and AI feature implementations.

• Data Visualization Tools: Ability to interpret and potentially create basic visualizations from data to understand AI performance and user engagement.

CRM & Automation:

• Project Management Tools: Proficiency with tools like Asana, Jira, Trello, or Monday.com for managing design tasks, workflows, and team collaboration.

• Collaboration & Communication Platforms: Heavy reliance on tools like Slack for real-time communication and Notion or Confluence for documentation, knowledge sharing, and asynchronous collaboration.

📝 Enhancement Note: The technology stack is heavily focused on modern design and AI tools. The explicit mention of AI-assisted prototyping tools is a significant indicator of the company's forward-thinking approach. Proficiency in Figma and a strong understanding of collaboration platforms are essential for success in this remote role.

👥 Team Culture & Values

Operations Values:

• Innovation & Experimentation: A culture that encourages exploring new frontiers in AI and design, with a willingness to experiment and learn from both successes and failures.

• User-Centricity: A deep commitment to understanding and serving users, ensuring that AI capabilities translate into genuine value and positive experiences.

• Transparency & Trust: Prioritizing open communication and ethical considerations, especially in the design of AI systems where user trust is paramount.

• Autonomy & Ownership: Empowering individuals to take initiative, make decisions, and own their work in a highly autonomous, remote environment.

• Collaboration & Inclusivity: Fostering a supportive and inclusive environment where diverse perspectives are valued, and cross-functional teamwork is key to success, even across distances.

Collaboration Style:

• Asynchronous First: A primary mode of collaboration will be asynchronous, relying on clear documentation, well-structured messages, and thoughtful communication to bridge time zones and remote locations.

• Intentional Synchronous Interaction: Scheduled meetings and real-time discussions will be used strategically for brainstorming, problem-solving, and building team cohesion, particularly during company retreats.

• Cross-Functional Partnership: A strong emphasis on building collaborative relationships with Product, Engineering, and Applied AI teams, fostering mutual understanding and shared goals.

• Feedback Culture: An environment that encourages constructive feedback loops for continuous improvement of designs, processes, and team collaboration.

📝 Enhancement Note: The company values likely revolve around innovation, user focus, and a modern, autonomous work ethic suited for a remote-first AI company. The emphasis on transparency and trust is particularly relevant given the AI focus.

⚡ Challenges & Growth Opportunities

Challenges:

• Designing for Non-Deterministic Systems: The primary challenge is translating the inherent unpredictability of AI into user experiences that feel reliable, controllable, and trustworthy. This requires innovative approaches to error handling, feedback, and user guidance.

• Maintaining User Control & Trust: Ensuring users feel empowered and not overwhelmed by AI, and building confidence in AI outputs, especially in critical applications.

• Rapidly Evolving AI Landscape: Staying abreast of the fast-paced advancements in AI technology and quickly integrating new capabilities into product designs.

• Remote Collaboration Complexity: Navigating the intricacies of effective collaboration and team building in a fully remote, global setting.

• Defining New Design Patterns: Creating foundational design patterns for AI interactions where few established best practices currently exist.

Learning & Development Opportunities:

• AI/ML Design Specialization: Deepen expertise in the niche but rapidly growing field of AI and ML product design through hands-on experience and focused learning.

• Cutting-Edge Tools: Gain proficiency with emerging AI-assisted design and prototyping tools, positioning yourself at the forefront of design technology.

• Strategic Product Influence: Develop skills in influencing product roadmaps and contributing to high-level product strategy, leveraging your design expertise.

• Leadership Development: Grow leadership capabilities through ownership of key product areas, mentorship opportunities, and potential progression into management roles.

• Industry Exposure: Participate in global company retreats and potentially industry events or conferences to stay current with AI and design trends.

📝 Enhancement Note: The challenges are directly tied to the innovative nature of working with applied AI. The growth opportunities are substantial for a designer looking to specialize in this cutting-edge field and advance their career in a leadership capacity.

💡 Interview Preparation

Strategy Questions:

• AI Design Philosophy: "Describe your philosophy for designing AI-powered products. How do you approach building user trust and transparency in systems that can be non-deterministic?" (Prepare to discuss your core principles, potential frameworks, and examples from your portfolio.)

• Problem Framing & Solutioning: "Imagine we want to build an AI copilot for [specific user task related to the company's domain]. How would you approach defining the problem space, identifying key user needs, and ideating potential AI-driven solutions?" (Be ready to walk through a mini design process, highlighting research, ideation, and initial concept sketching.)

• AI Tool Integration: "How have you used AI tools to enhance your design workflow? Can you provide a specific example of how AI assisted you in research, ideation, or prototyping, and what was the outcome?" (Prepare to detail your experience with tools like v0, Cursor, etc., and articulate the tangible benefits.)

Company & Culture Questions:

• Remote Work Preparedness: "This is a fully remote role. How do you ensure effective collaboration, communication, and productivity in a distributed team environment?" (Discuss your experience with asynchronous communication, documentation, and proactive engagement.)

• Navigating Ambiguity: "This role often involves working with new technologies and undefined problems. How do you approach situations with high ambiguity, and what strategies do you employ to bring clarity and structure?" (Share examples of how you've tackled uncharted territory in your career.)

• AI Ethics & Responsibility: "What are the key ethical considerations when designing AI products, and how do you ensure your designs are responsible and user-centric?" (Demonstrate awareness of AI ethics, bias, and user well-being.)

Portfolio Presentation Strategy:

• Structure Your Narrative: For each case study, clearly define the problem, your role, the design process, the AI challenges, your solutions, and the impact. Use visuals effectively.

• Focus on AI Specifics: For AI projects, explicitly detail the AI components, how you designed interactions around them, and how you addressed issues of trust, transparency, and control.

• Showcase Tool Usage: Point out where and how you used Figma, AI prototyping tools, or other relevant software to achieve your design outcomes.

• Explain Your "Why": Be prepared to articulate the rationale behind your design decisions, especially in the context of AI's unique characteristics.

• Keep it Concise and Engaging: Aim for clarity and impact, respecting the interviewer's time. Practice your delivery to ensure a smooth and confident presentation.

📝 Enhancement Note: Interview preparation should heavily focus on demonstrating practical experience with AI design and tools, strategic thinking about AI product development, and strong remote collaboration skills. Candidates should be ready to articulate their design process in detail, especially concerning the unique challenges of AI.

📌 Application Steps

To apply for this operations position:

• Submit your application through the Jobgether platform.

• Portfolio Customization: Ensure your portfolio prominently features at least two detailed case studies showcasing your experience with AI-powered products, intelligent agents, or advanced automation tools. Clearly articulate your process, the AI aspects, and the user impact.

• Resume Optimization: Tailor your resume to highlight keywords such as "Applied AI," "Intelligent Agents," "Copilots," "Workflow Automation," "Figma," "Prototyping," and any specific AI tools you have experience with. Quantify achievements where possible.

• Interview Practice: Prepare to discuss your approach to designing for AI, your experience with AI tools, and how you navigate ambiguity in a remote setting. Practice presenting your portfolio with a focus on AI-specific challenges and solutions.

• Company Research: While the partner company is not named, research Jobgether's mission and their approach to AI in recruitment. Try to infer the general industry and product focus of the partner company based on the job description (e.g., creator economy, productivity tools, AI platforms).

⚠️ 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.