Senior Product Designer - Agentic AI Solutions
📍 Job Overview
Job Title: Senior Product Designer - Agentic AI Solutions
Company: Lucidya
Location: Bahrain
Job Type: Full-Time
Category: Product Design / UX / AI Design
Date Posted: 2026-06-04
Experience Level: Senior (5+ years)
Remote Status: Fully Remote
🚀 Role Summary
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Design and lead the end-to-end user experience for Agentic AI initiatives, focusing on building trust, transparency, and intuitive control for enterprise users.
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Develop sophisticated interaction models and workflows that simplify complex AI capabilities, ensuring seamless adoption and value realization for customers.
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Contribute to a high-quality, cohesive product experience, with a particular emphasis on designing for Arabic-first enterprise users, including RTL layouts and localized content.
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Drive the creation of reusable design patterns and components that scale across the platform, fostering a consistent and efficient design system.
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Collaborate closely with product management, engineering, and research teams to translate user needs and AI capabilities into impactful product solutions.
📝 Enhancement Note: This role is specifically focused on the intersection of advanced AI (Agentic AI, NLU) and enterprise SaaS UX. The emphasis on Arabic-first design and RTL experiences is a critical differentiator. The "Senior" title implies ownership, strategic influence, and potential mentorship, even if not explicitly stated as a management role.
📈 Primary Responsibilities
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Own the user experience strategy and execution for key Agentic AI features, from concept to launch and iteration.
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Translate complex AI functionalities into clear, actionable, and trustworthy user interfaces and workflows.
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Design interaction patterns that manage AI autonomy, user control, confidence, and graceful error handling.
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Conduct user research, usability testing, and data analysis to validate design decisions and inform product strategy.
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Develop and maintain high-fidelity prototypes and design specifications for engineering implementation.
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Contribute to and advocate for the evolution of Lucidya's design system, ensuring consistency and scalability.
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Champion design best practices, provide constructive feedback in design critiques, and mentor junior designers.
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Collaborate with product managers to define product requirements and with engineers to ensure accurate and high-quality design implementation.
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Design for Right-to-Left (RTL) languages, specifically Arabic, ensuring a culturally relevant and seamless experience for Middle Eastern enterprise users.
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Define and articulate the reasoning, uncertainty, and confidence levels of AI actions to users effectively.
📝 Enhancement Note: The responsibilities highlight a deep dive into the unique challenges of designing for AI autonomy and trust, which is a cutting-edge area in UX. The requirement to design for Arabic-first and RTL is a significant specialization.
🎓 Skills & Qualifications
Education: Bachelor's degree in Design, Human-Computer Interaction, Computer Science, or a related field, or equivalent practical experience.
Experience:
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5+ years of professional experience in product design, specifically for B2B SaaS or complex enterprise software products.
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Proven track record of owning the end-to-end design process for significant product initiatives. Required Skills:
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Product Thinking: Ability to deeply understand user problems, business goals, and technical constraints to devise effective solutions.
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UX & Interaction Design: Expertise in crafting intuitive user flows, interaction models, and information architecture for complex systems.
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Visual Design Craft: Strong aesthetic sensibility and attention to detail in typography, layout, color, and iconography to create polished, enterprise-grade interfaces.
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Figma Proficiency: Advanced skills in Figma, including component systems, prototyping, auto-layout, and collaborative design workflows.
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User Research & Testing: Experience planning, conducting, and synthesizing user research, usability testing, and A/B testing to inform design decisions.
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Cross-functional Collaboration: Demonstrated ability to work effectively with product managers, engineers, researchers, and other stakeholders.
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Communication Skills: Excellent verbal and written communication skills, with the ability to articulate design rationale clearly to both technical and non-technical audiences.
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Ambiguity Navigation: Comfort and skill in defining structure and momentum from loosely defined challenges.
Preferred Skills:
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Experience designing AI products, copilots, agents, or autonomous systems.
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Experience with designing for Arabic-first markets, including RTL layouts, localization considerations, and cultural nuances.
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Familiarity with design systems at a platform scale.
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Knowledge of responsible AI principles, AI ethics, explainability, and AI safety.
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Experience with SaaS businesses specifically serving enterprise customers in the Middle East.
📝 Enhancement Note: The emphasis on "product thinking, not just attractive interfaces" is crucial. Candidates should prepare to showcase how their designs solved specific problems and delivered measurable outcomes. Experience with AI-specific UX challenges and RTL/Arabic design are highly valued differentiators.
📊 Process & Systems Portfolio Requirements
Portfolio Essentials:
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Problem-Solution-Outcome Focus: Showcase case studies that clearly articulate the problem addressed, the design process followed, the solutions implemented, and the measurable outcomes or impact achieved.
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Depth of Thinking: Demonstrate a strong understanding of user needs, business objectives, and technical feasibility within your case studies.
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Process Documentation: Detail your design process, including user research, ideation, wireframing, prototyping, user testing, and iteration.
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Systemic Design: Highlight examples where you contributed to or leveraged design systems, reusable components, and scalable design patterns.
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Figma Expertise: Include examples that demonstrate advanced Figma usage, such as complex component libraries, interactive prototypes, and collaborative workflows.
Process Documentation:
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Evidence of how you've documented design decisions, user flows, and interaction specifications for engineering teams.
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Examples of how you've used research findings and data to drive design iterations and improvements.
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Documentation of your involvement in defining or evolving design systems and component libraries.
📝 Enhancement Note: The portfolio is paramount for this role. It needs to demonstrate not just visual design skills but also strategic thinking, problem-solving capabilities, and a deep understanding of the design process, particularly in complex B2B/enterprise and AI contexts. The ability to articulate the "why" behind design choices and their impact is key.
💵 Compensation & Benefits
Salary Range:
Given the Senior Product Designer title, the location in Bahrain (which has a moderate cost of living compared to major tech hubs), and the specialized AI/enterprise SaaS focus, a competitive salary range in Bahrain would likely fall between BHD 2,500 - BHD 4,500 per month (approximately USD 6,600 - USD 11,900 per month). This is an estimated range based on industry benchmarks for senior design roles in similar regions and specialized tech fields. Actual compensation will depend on the candidate's specific experience, skills, and negotiation.
Benefits:
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Competitive salary package.
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Fully remote work arrangement, offering flexibility and work-life balance.
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Opportunity to work on cutting-edge Agentic AI technology with significant impact.
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Contribution to a growing design culture within an AI-native company.
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Involvement in shaping product direction and user experience for enterprise clients.
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Professional development opportunities, including potential for growth within the design team.
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Health insurance (specifics to be confirmed by the company).
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Paid time off (specifics to be confirmed by the company). Working Hours:
The standard working hours are likely aligned with a full-time role, typically around 40 hours per week. Given the remote and international nature of the role, there may be flexibility in scheduling, with an expectation for availability during core collaboration hours within the company's operating time zone (likely aligning with GMT+3/Asia/Bahrain time).
📝 Enhancement Note: Salary is estimated based on comparable roles in the GCC region and the specialist nature of AI design. Benefits are inferred from typical offerings for remote, senior tech roles, but specific details must be confirmed with Lucidya. The flexibility in working hours for a remote role is a key benefit.
🎯 Team & Company Context
🏢 Company Culture
Industry: Artificial Intelligence (AI), Customer Experience (CX) Intelligence, SaaS. Lucidya operates at the forefront of AI-native platforms, applying Natural Language Understanding (NLU) and Agentic AI to automate customer lifecycle management.
Company Size: While not explicitly stated in the provided data, the mention of "leading organizations across banking, insurance, healthcare, hospitality, and the public sector" and investing in "Agentic AI" suggests a growth-stage company that has achieved product-market fit and is scaling its operations and impact. It's likely a medium-sized tech company (e.g., 50-200 employees).
Founded: The founding date is not provided, but the company's focus on advanced AI and its current investment phase suggest it's a relatively modern tech company, likely founded within the last 5-10 years.
Team Structure:
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Operations: The company is investing heavily in AI and product development, indicating a strong engineering and product team.
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Design Team: The presence of a Senior Product Designer role suggests an established or growing design function. This role will likely collaborate closely with Product Management and Engineering.
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Cross-functional Collaboration: Expect close partnerships with Product Managers to define strategy, Engineers for implementation, and potentially User Researchers to validate designs. The emphasis on Arabic-first design suggests potential collaboration with localization specialists or regional market experts.
Methodology:
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Data-Driven Design: The company emphasizes using research and evidence to inform decisions.
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Agile Development: SaaS companies typically operate on agile methodologies, requiring iterative design and development cycles.
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AI-Centric Approach: Core to Lucidya's offering is AI, meaning data analysis, NLU, and automation are central to its product development and operational processes.
Company Website: lucidya.com (This is an assumption based on the domain_derived field)
📝 Enhancement Note: The company's focus on Agentic AI and CX intelligence places it in a high-growth, innovative tech sector. The culture likely values data-driven decision-making, rapid iteration, and a strong emphasis on technical excellence and user outcomes. The regional focus on the Middle East is also a key cultural and market differentiator.
📈 Career & Growth Analysis
Operations Career Level: This is a Senior Product Designer role. It signifies a high level of individual contribution, autonomy, and expertise. While not a management role, it implies leadership in design thinking, process ownership, and potentially mentoring junior colleagues. The focus on Agentic AI and complex enterprise problems suggests this is a role for designers looking to tackle challenging, forward-looking design issues.
Reporting Structure: The Senior Product Designer will likely report to a Head of Product Design, Design Lead, or potentially a VP of Product. They will work closely with Product Managers and Engineering Leads on specific product initiatives.
Operations Impact: The impact of this role is substantial. By designing experiences that build trust and usability for Agentic AI, the designer directly influences product adoption, customer satisfaction, retention, and the speed at which customers derive business value. This role is critical to Lucidya's mission of making AI-powered customer experience intelligence accessible and effective for enterprise clients.
Growth Opportunities:
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Specialization: Deepen expertise in AI UX, Agentic AI design patterns, and human-AI interaction.
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Leadership: Grow into a Design Lead or Managerial role, overseeing a team or a specific product area.
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Platform Design: Contribute to and potentially lead the evolution of the company's design system and platform-level design strategy.
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Industry Expertise: Become a recognized expert in designing for AI and for enterprise markets in the Middle East.
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Mentorship: Guide and mentor other designers, fostering a strong design culture.
📝 Enhancement Note: This role offers significant growth potential for designers interested in the frontier of AI UX. The opportunity to shape a new category of AI interaction and contribute to a company's strategic direction in a high-growth market is a key draw.
🌐 Work Environment
Office Type: Fully Remote. This indicates a distributed workforce, prioritizing flexibility and autonomy.
Office Location(s): While the role is remote, the company has a presence or primary focus in Bahrain, suggesting a connection to the Middle East market. Employees may be based anywhere, but adherence to core collaboration hours will be necessary.
Workspace Context:
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Collaborative Environment: Despite being remote, the culture emphasizes collaboration through virtual tools and open communication channels. Expect frequent interaction via Slack, video conferencing, and shared design platforms.
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Tools & Technology: Access to industry-standard design tools (like Figma), project management software, and communication platforms is expected. The company likely provides necessary software licenses.
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Team Interaction: Opportunities for regular team syncs, design critiques, and cross-functional alignment meetings will be part of the workflow.
Work Schedule: As a fully remote, full-time role, expect a standard work week (approx. 40 hours). However, there's likely flexibility in daily scheduling, with an expectation to be available for key meetings and collaborative sessions, possibly aligning with core business hours in the Middle East region (GMT+3).
📝 Enhancement Note: The remote nature offers significant flexibility, but requires strong self-discipline and communication skills. Candidates should be comfortable working asynchronously and proactively engaging with remote team members across different time zones.
📄 Application & Portfolio Review Process
Interview Process:
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1. Introductory Conversation: An initial screening call, likely with HR or a recruiter, to assess basic qualifications, cultural fit, and interest in the role.
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2. Hiring Manager Interview: A deeper dive with the hiring manager (likely a Design Lead or Head of Product Design) to discuss experience, design philosophy, and specific project examples.
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3. Practical Design Exercise - Case Study: A take-home or live design challenge focused on a problem relevant to Agentic AI or enterprise SaaS UX. This will be followed by a presentation and discussion of your approach, rationale, and solutions.
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4. Final Conversations: Potential interviews with other key stakeholders, such as Product Managers, Engineering Leads, or even C-level executives, to assess broader alignment and strategic thinking.
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5. Culture Fit / Offer Stage: Final evaluation of cultural alignment and extension of an offer.
Portfolio Review Tips:
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Focus on Impact: Prioritize case studies that clearly demonstrate the problem, your role, your process, and the measurable impact of your design solutions. Quantify results whenever possible (e.g., increased adoption, improved efficiency, reduced error rates).
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Showcase AI UX Maturity: For any AI-related projects, clearly articulate how you addressed challenges of trust, transparency, control, and explainability. Highlight any specific work with autonomous systems or copilots.
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Detail Your Process: Walk through your thought process for each case study. Explain why you made certain design decisions, what alternatives you considered, and how you used research to guide your choices.
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Highlight RTL/Arabic Design: If you have relevant experience, ensure it's prominently featured. Explain your considerations for RTL layouts, cultural nuances, and localization.
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Figma Mastery: Be prepared to discuss your Figma workflows, component system strategies, and prototyping techniques.
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Conciseness and Clarity: Structure your portfolio for easy navigation. Use clear headings, concise descriptions, and high-quality visuals.
Challenge Preparation:
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Understand the Domain: Familiarize yourself with Lucidya's product, the AI-native CX intelligence space, and the challenges of Agentic AI.
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Anticipate AI UX Problems: Prepare for challenges that require designing for AI autonomy, user trust, explainability, and error recovery.
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Focus on Process: Be ready to explain your design process from problem definition to solution validation.
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Articulate Trade-offs: Be prepared to discuss the trade-offs you made and why.
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Presentation Skills: Practice presenting your case studies and design solutions clearly and concisely, anticipating questions from a cross-functional audience.
📝 Enhancement Note: The design exercise is a critical component. Candidates should treat it as a real-world project, demonstrating their ability to think critically, apply design principles, and communicate effectively under pressure. The emphasis on Agentic AI and Arabic design means preparing specific examples related to these areas will be highly advantageous.
🛠 Tools & Technology Stack
Primary Tools:
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Figma: The core tool for UI design, prototyping, and component system management. Advanced proficiency is a must.
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Prototyping Tools: Figma's built-in prototyping capabilities, potentially supplemented by tools like Protopie for more complex interactions if needed.
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User Research Platforms: Tools like UserTesting.com, Maze, Lookback, or similar for conducting remote usability testing and gathering user feedback.
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Collaboration Tools: Slack, Microsoft Teams, or similar for real-time communication.
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Project Management Tools: Jira, Asana, Trello, or similar for tracking design tasks and project progress.
Analytics & Reporting:
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Product Analytics Tools: Tools like Amplitude, Mixpanel, or Pendo to understand user behavior and product adoption, informing design decisions.
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Data Visualization Tools: Potentially Tableau, Power BI, or internal dashboards for analyzing user data and performance metrics.
CRM & Automation:
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CRM Systems: While not a direct design tool, understanding how designs integrate with CRM (e.g., Salesforce, HubSpot) and customer data platforms is beneficial for B2B SaaS.
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Workflow Automation Tools: Familiarity with concepts of workflow automation is relevant given the "Agentic AI" focus.
📝 Enhancement Note: Proficiency in Figma is non-negotiable. Beyond that, a strong understanding of how design integrates with research, analytics, and development workflows is expected. Familiarity with tools that support data-driven design and remote collaboration is key.
👥 Team Culture & Values
Operations Values:
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Customer-Centricity: A deep focus on understanding and solving customer problems to drive measurable business outcomes.
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Data-Driven Decision-Making: Relying on research, analytics, and evidence to guide design choices and product strategy.
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Collaboration & Transparency: Open communication, constructive feedback, and a willingness to share work and ideas across teams.
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Excellence & Craftsmanship: A commitment to high-quality design, attention to detail, and continuous improvement of the product experience.
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Innovation & Curiosity: Embracing new technologies like Agentic AI and exploring novel solutions to complex user challenges.
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Impact-Oriented: Measuring success by the real-world impact of designs on users and the business, rather than just output volume.
Collaboration Style:
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Cross-functional Partnership: Designers work hand-in-hand with Product Managers, Engineers, and Researchers, acting as integral members of product teams.
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Iterative Feedback Loops: A culture of regular design critiques and feedback sessions to refine solutions.
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Knowledge Sharing: Encouraging designers to share insights, best practices, and learnings to elevate the entire team and product.
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Proactive Communication: Given the remote setup, designers are expected to be proactive in communicating their progress, challenges, and needs.
📝 Enhancement Note: The company values designers who are not just skilled executors but strategic partners who can influence product direction. The emphasis on AI and data suggests a culture that embraces experimentation and learning from outcomes.
⚡ Challenges & Growth Opportunities
Challenges:
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Designing for AI Trust: The primary challenge is creating user experiences that foster trust in autonomous AI systems, especially when the AI makes decisions or takes actions on behalf of the user.
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Complexity of Agentic AI: Simplifying highly complex AI capabilities into intuitive and manageable workflows for enterprise users.
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RTL and Arabic-First Design: Ensuring that designs are not only functional but culturally resonant and aesthetically pleasing for Arabic-speaking enterprise users, moving beyond basic RTL implementation.
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Balancing Autonomy and Control: Designing interfaces that allow AI to act autonomously for efficiency while providing users with sufficient control and transparency.
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Remote Collaboration: Maintaining strong collaboration and team cohesion in a fully remote environment.
Learning & Development Opportunities:
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AI UX Specialization: Become a leading expert in designing for advanced AI, particularly Agentic AI and NLU.
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Regional Market Expertise: Develop deep insights into the enterprise software market and user needs in the Middle East.
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Design Systems Evolution: Contribute to the strategic growth and adoption of a scalable design system.
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Mentorship & Leadership: Opportunities to mentor junior designers and influence design strategy.
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Industry Exposure: Working with cutting-edge AI technology that is shaping the future of CX intelligence.
📝 Enhancement Note: This role offers a unique opportunity to tackle some of the most challenging and forward-thinking problems in UX design today, particularly at the intersection of AI and enterprise software. The growth path is geared towards specialization and leadership in a high-demand field.
💡 Interview Preparation
Strategy Questions:
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"How would you approach designing an interface that allows a user to understand why an AI agent took a specific action on their behalf?" (Focus on explainability, transparency, confidence levels).
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"Describe a time you had to design a complex workflow for enterprise users. What were the key challenges, and how did you simplify them?" (Focus on B2B SaaS experience, workflow optimization, user empathy).
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"Imagine an AI agent needs to ask for user approval before acting. How would you design this interaction to be efficient and not overly disruptive?" (Focus on designing for AI autonomy vs. control, user experience friction).
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"How would you ensure our Agentic AI features feel equally intuitive and effective for users who prefer Arabic as their primary language, considering RTL layouts?" (Focus on Arabic-first design, localization, cultural considerations). Company & Culture Questions:
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"What interests you most about Lucidya's mission and our focus on Agentic AI?" (Demonstrate research into the company and industry).
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"How do you approach collaboration within a remote, cross-functional team, especially when working with engineers and product managers?" (Highlight communication, conflict resolution, and teamwork skills).
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"How do you measure the success of your designs, particularly in an enterprise SaaS context?" (Focus on impact, metrics, user satisfaction, business outcomes). Portfolio Presentation Strategy:
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Storytelling: Frame your case studies as narratives. Start with the problem, introduce your role and process, showcase your solutions, and conclude with the impact and learnings.
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Visual Clarity: Use high-quality mockups, wireframes, and prototypes to illustrate your design work. Ensure any RTL examples are presented clearly.
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Process Explanation: Be prepared to articulate why you made specific design decisions, what research informed them, and what trade-offs you considered.
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Interactive Elements: If possible, use interactive prototypes to demonstrate user flows and interactions, especially for complex AI scenarios.
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Focus on AI UX and RTL: Tailor your presentation to highlight your most relevant work in AI UX and Arabic/RTL design.
📝 Enhancement Note: Candidates should prepare to discuss their experience with AI-specific UX challenges and demonstrate a nuanced understanding of designing for enterprise users, particularly those in Arabic-speaking regions. The interview process heavily weighs the practical design exercise and portfolio review.
📌 Application Steps
To apply for this operations position:
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Submit your application through the application link provided on Workable.
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Customize Your Resume: Tailor your resume to highlight your experience in B2B SaaS/enterprise design, product thinking, Figma proficiency, and any relevant AI or RTL/Arabic design experience. Use keywords from the job description.
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Curate Your Portfolio: Select 2-3 of your strongest case studies that best demonstrate your capabilities in solving complex UX problems, particularly those involving enterprise software, AI, or RTL design. Ensure each case study follows the problem-solution-outcome structure.
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Prepare Your Portfolio Presentation: Practice walking through your chosen case studies, focusing on your design process, rationale, and the impact of your work. Be ready to articulate your approach to AI UX and Arabic-first design challenges.
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Research Lucidya: Understand Lucidya's product, target market, and mission. Familiarize yourself with the challenges of Agentic AI and CX intelligence to better articulate your interest and fit.
⚠️ 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.
Application Requirements
Requires 5+ years of experience in B2B SaaS or enterprise software design with a strong portfolio demonstrating product thinking and visual craft. Proficiency in Figma and experience with user research and collaborating with cross-functional teams are essential.