Conversational UX Specialist
π Job Overview
Job Title: Conversational UX Specialist
Company: Omilia
Location: Greece
Job Type: FULL_TIME
Category: Conversational UX Design / Operations
Date Posted: 2026-09-03
Experience Level: 2-5 Years
Remote Status: Remote Solely
π Role Summary
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Design and optimize user-centric conversational experiences for AI-driven systems, focusing on scalability and maintainability.
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Analyze real-time interaction data to identify design assumptions, drive performance improvements, and enhance business KPIs.
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Serve as the primary expert in conversational UX, influencing cross-team efforts and ensuring alignment with business objectives.
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Translate complex business needs into technically viable, user-friendly conversational solutions.
π Enhancement Note: This role sits within Omilia's Solution Optimization team, indicating a strong emphasis on data-driven iteration and continuous improvement of conversational AI products. The focus is on the practical application of UX design principles to achieve measurable business outcomes, rather than purely theoretical design work.
π Primary Responsibilities
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Own the end-to-end quality of conversational UX design, ensuring flows are scalable, modular, and maintainable for future business needs.
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Analyze conversational designs and live interaction data to pinpoint broken processes and implement optimized solutions that improve business KPIs.
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Design clear, engaging, and natural dialogue for conversational interfaces, ensuring high levels of user satisfaction and task completion.
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Collaborate closely with project delivery and engineering teams to ensure technical viability and seamless integration of conversational designs.
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Maintain benchmarking of core KPIs across features, services, and industry verticals to identify optimization opportunities and uphold best practices.
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Evaluate user interactions and conversation data to uncover areas for improvement, enhancing bot performance and user satisfaction.
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Leverage insights from data analysis to drive continuous, iterative optimization of conversational experiences.
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Present design concepts and optimization strategies effectively to business teams and stakeholders, advocating for user-first principles.
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Create and maintain comprehensive documentation of design decisions, conversational systems, and user flows.
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Stay abreast of the latest trends, best practices, and principles in conversational AI design to deliver cutting-edge solutions.
π Enhancement Note: The responsibilities highlight a blend of strategic design thinking and tactical data analysis. The role requires not only the creation of effective conversational flows but also the rigorous measurement and iterative refinement based on actual user interaction data, a core tenet of Revenue Operations and GTM optimization.
π Skills & Qualifications
Education: Bachelor's degree in Linguistics, Computer Science, UX Design, Psychology, or a related field, or equivalent professional experience.
Experience: Proven experience in UX design and/or requirements analysis, design, and optimization of Conversational AI systems. A minimum of 2-5 years of experience is expected for this role.
Required Skills:
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Strong understanding of conversational UX principles and best practices for AI-driven interfaces.
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Proven experience in designing and optimizing conversational AI systems (chatbots, voicebots).
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Skilled in crafting clear, engaging, and natural dialogue (copywriting proficiency).
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Excellent command of spoken and written English.
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Exceptional communication and interpersonal skills for effective stakeholder and customer engagement.
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Deep empathy for end users and a passion for creating exceptional user experiences.
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Strong analytical and creative thinking abilities.
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Meticulous attention to detail and ability to manage multiple assignments under tight deadlines.
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Highly organized and capable of managing solo or collaborative assignments effectively in a remote environment.
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Adaptability and a growth mindset, embracing new challenges and continuous learning. Preferred Skills:
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Hands-on experience designing UX for AI-driven bots, including chatbots and voicebots.
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Familiarity with Generative AI solutions and their application in conversational interfaces.
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Experience with conversational automated dialogue systems (voice or chat-based).
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Production-level knowledge of NLU/NLP solutions.
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Proficiency in additional languages such as Spanish, French, and/or German.
π Enhancement Note: The requirement for a Bachelor's degree in a relevant field, coupled with "equivalent professional experience," offers flexibility. The emphasis on "ambition, enthusiasm, and a growth mindset" suggests a company culture that values proactive individuals eager to learn and contribute to evolving technologies.
π Process & Systems Portfolio Requirements
Portfolio Essentials:
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Showcase examples of designed conversational flows for chatbots or voicebots, demonstrating scalability and modularity.
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Include case studies detailing how interaction data was analyzed to identify broken processes and implement optimizations that improved KPIs.
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Present examples of dialogue design, highlighting clarity, engagement, and natural language.
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Demonstrate experience in translating complex business needs into user-centric conversational solutions.
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Provide evidence of collaboration with technical teams to ensure design viability. Process Documentation:
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Examples of how you've documented design decisions, conversational systems, and user flows to ensure team alignment.
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Showcase your approach to benchmarking core KPIs and using this data for continuous improvement.
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Illustrate your methodology for analyzing user interactions to uncover optimization opportunities and enhance bot performance.
π Enhancement Note: While not explicitly stated as a "portfolio requirement," the job description heavily implies the need to demonstrate practical application of skills. Candidates should prepare to showcase their work and thought process, particularly how they leverage data to drive design decisions and achieve measurable outcomes, akin to a GTM operations portfolio.
π΅ Compensation & Benefits
Salary Range: Based on the role's responsibilities, the required experience level (2-5 years), and the location (Greece), a competitive fixed compensation is expected. Industry benchmarks for similar Conversational UX Specialist roles in Greece typically range from β¬25,000 to β¬45,000 annually, depending on specific experience and qualifications.
Benefits:
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Fixed compensation package.
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Long-term employment with paid vacation days.
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Opportunities for professional growth through courses and training.
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Involvement in successful, cutting-edge technology products with global impact.
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Collaboration with proficient and enjoyable colleagues.
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Provision of Apple gear.
Working Hours: Approximately 40 hours per week, aligned with standard full-time employment expectations, with flexibility inherent in a fully remote, digital-first environment.
π Enhancement Note: The salary range is an estimation based on industry standards for a remote role in Greece with 2-5 years of experience. Omilia offers a comprehensive benefits package, emphasizing long-term commitment and professional development, which is attractive for operations professionals seeking stability and growth.
π― Team & Company Context
π’ Company Culture
Industry: Technology / Artificial Intelligence / Customer Service Solutions
Company Size: Omilia is a growing company, likely within the 50-200 employee range based on typical structures for companies with specialized roles like this and a global impact. This size offers a balance between the agility of a startup and the structure of a more established organization.
Founded: The founding date is not specified, but Omilia is described as developing "cutting-edge technology products," suggesting a relatively modern company focused on innovation in the AI and customer service space.
Team Structure: The Conversational UX Specialist will be part of the Solution Optimization team. This team likely comprises individuals focused on data analysis, process improvement, and technical integration. Collaboration will extend to delivery teams and potentially product management, sales, and customer success to ensure a cohesive user experience and business alignment.
Methodology: The role emphasizes a data-driven approach to conversational design. This involves:
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Analyzing live conversational interactions to identify performance gaps.
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Using user-centric design principles to create scalable and maintainable flows.
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Benchmarking KPIs to measure impact and identify optimization opportunities.
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Iterative refinement based on real-world data to improve business outcomes.
Company Website: https://www.omilia.com/
π Enhancement Note: The emphasis on "Solution Optimization" and "real interaction data" strongly suggests a GTM and Revenue Operations-aligned methodology. This role is about ensuring the AI solutions effectively serve business goals and user needs, directly impacting customer experience and potentially revenue generation through improved efficiency and customer satisfaction.
π Career & Growth Analysis
Operations Career Level: This role is positioned as a Specialist, typically indicating an intermediate level (2-5 years of experience). It requires a strong foundation in UX and Conversational AI design, with the ability to work independently and contribute significantly to solution optimization. It's a key role in bridging design intent with actual system performance.
Reporting Structure: The Conversational UX Specialist will report into a manager within the Solution Optimization team. This team likely works closely with engineering, product, and customer-facing teams, providing opportunities to influence broader GTM strategies and product development.
Operations Impact: The Conversational UX Specialist directly impacts the effectiveness and efficiency of Omilia's AI products. By optimizing conversational flows and user experiences, this role contributes to:
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Improved customer satisfaction and retention.
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Increased efficiency in customer service operations for clients.
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Enhanced lead qualification and conversion rates through better bot interactions.
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Data-driven insights that inform product development and business strategy. Growth Opportunities:
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Specialization: Deepen expertise in specific AI technologies, Generative AI, or advanced NLU/NLP applications.
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Leadership: Transition into a Senior Conversational UX Specialist role, leading design initiatives or mentoring junior team members.
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Cross-functional Mobility: Move into related roles within Product Management, GTM Strategy, or Customer Success, leveraging deep understanding of user interaction and AI capabilities.
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Skill Development: Access to courses and training to enhance skills in areas like advanced analytics, AI ethics, or specialized design tools.
π Enhancement Note: The role offers a clear path for growth within the specialized field of Conversational AI UX, with opportunities to expand into broader GTM strategy or product leadership roles due to the direct impact on customer experience and business performance.
π Work Environment
Office Type: Fully remote, digital-first environment. This requires strong self-discipline, proactive communication, and comfort with virtual collaboration tools.
Office Location(s): The role is based in Greece, allowing candidates within Greece to work remotely within the country.
Workspace Context:
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A digital-first environment necessitates reliance on collaboration platforms and effective asynchronous communication.
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Access to modern technology, including Apple gear, supports productivity and innovation.
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The remote setup fosters a work-life balance, allowing professionals to manage their environment effectively.
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Opportunities for virtual team interaction and collaboration will be prevalent.
Work Schedule: Standard full-time hours (approximately 40 hours/week) are expected, but the remote nature may offer some flexibility in structuring the workday, provided deadlines and team collaboration needs are met.
π Enhancement Note: The emphasis on a "fully remote, digital-first environment" is crucial. Candidates must be adept at remote work, demonstrating strong organizational skills, proactive communication, and proficiency with virtual collaboration tools. This aligns with modern GTM operations where flexibility and digital proficiency are key.
π Application & Portfolio Review Process
Interview Process:
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Initial Screening: A review of your CV and portfolio to assess qualifications and relevant experience in Conversational UX.
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Technical/Skills Interview: An in-depth discussion focusing on your experience with UX design, conversational AI, data analysis, and problem-solving methodologies. Expect questions about your design process, how you use data, and your approach to optimization.
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Portfolio Presentation: You may be asked to present a case study from your portfolio, detailing a specific project, your role, the challenges, your design solutions, and the measurable impact. Focus on demonstrating how you translated user needs and business objectives into effective conversational experiences.
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Team/Cultural Fit Interview: A conversation with potential team members or hiring managers to assess your collaboration style, communication skills, and alignment with Omilia's values and remote work culture.
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Final Interview: Potentially with senior leadership to discuss your strategic thinking and long-term potential within the company.
Portfolio Review Tips:
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Showcase Impact: Clearly articulate the business problem you were solving and the measurable results of your conversational design solutions (e.g., improved conversion rates, reduced support tickets, higher user satisfaction scores).
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Process Clarity: Walk through your design process, highlighting how you used data (interaction data, KPIs) to inform your decisions and iterate on designs.
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Technical Viability: Demonstrate an understanding of technical constraints and how you collaborated with delivery teams to ensure designs were implementable.
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User-Centricity: Emphasize your empathy for the end-user and how you advocated for their needs throughout the design process.
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Conciseness: Prepare to present key projects efficiently, focusing on the most relevant aspects for this role.
Challenge Preparation:
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Be prepared for hypothetical scenarios or case studies where you'll need to design a conversational flow for a specific business problem or analyze a set of interaction data to identify optimization opportunities.
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Practice articulating your thought process clearly and logically, explaining your assumptions and rationale.
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Consider how your solutions would align with business KPIs and contribute to overall solution optimization.
π Enhancement Note: The interview process strongly suggests a focus on practical application and demonstrable results. A well-curated portfolio that highlights data-driven design decisions and measurable impact will be critical for success in this role, mirroring the expectations for operations professionals showcasing their process optimization achievements.
π Tools & Technology Stack
Primary Tools:
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UX Design Tools: Proficiency with industry-standard design software such as Figma, Sketch, Adobe XD, or similar for wireframing and prototyping conversational flows.
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Data Analysis Tools: Experience with analytics platforms (e.g., Google Analytics, Amplitude, Mixpanel) or specialized conversational analytics tools to interpret user interaction data and identify trends.
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NLU/NLP Platforms: Familiarity with platforms or concepts related to Natural Language Understanding and Natural Language Processing, potentially including experience with specific chatbot development platforms.
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Collaboration Tools: Expertise in remote collaboration software such as Slack, Microsoft Teams, Zoom, Jira, Confluence, and project management tools.
Analytics & Reporting:
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Ability to interpret and report on key performance indicators (KPIs) related to conversational AI performance, such as task completion rates, user satisfaction scores, containment rates, and escalation rates.
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Experience with dashboarding tools (e.g., Tableau, Power BI) may be beneficial for visualizing performance metrics. CRM & Automation:
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While not explicitly a CRM role, understanding how conversational AI integrates with CRM systems (e.g., Salesforce, HubSpot) and automation workflows is advantageous for designing holistic solutions.
π Enhancement Note: The role requires a blend of design and analytical skills, necessitating familiarity with a range of tools. Candidates should highlight their experience with tools that facilitate data analysis, user journey mapping, and collaborative design, as these are critical for the iterative optimization process.
π₯ Team Culture & Values
Operations Values:
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User-Centricity: A deep commitment to understanding and serving the end-user's needs in every design decision.
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Data-Driven Optimization: A belief in using real-world data and performance metrics to guide improvements and measure success.
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Collaboration: A proactive and communicative approach to working with cross-functional teams to achieve shared goals.
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Continuous Learning: An eagerness to stay updated with the latest advancements in AI, UX design, and conversational technologies.
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Efficiency & Scalability: A focus on designing solutions that are not only effective but also maintainable and scalable for long-term success.
Collaboration Style:
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Proactive Communication: Regularly sharing insights, design proposals, and performance analyses with relevant stakeholders.
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Cross-Functional Integration: Working closely with delivery, engineering, and product teams to ensure technical feasibility and alignment with business objectives.
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Feedback-Oriented: Open to receiving and providing constructive feedback to foster continuous improvement within the team and across projects.
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Remote Engagement: Actively participating in virtual meetings, discussions, and knowledge-sharing sessions to maintain strong team cohesion.
π Enhancement Note: The values emphasize a pragmatic, results-oriented approach to design, aligning closely with the efficiency and effectiveness goals of GTM and Revenue Operations. A candidate who can demonstrate these values in their work and communication will be a strong fit.
β‘ Challenges & Growth Opportunities
Challenges:
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Bridging Design and Data: Effectively translating complex interaction data into actionable design improvements for conversational AI.
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Balancing User Needs and Business Goals: Designing experiences that are both delightful for users and achieve specific business KPIs.
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Adapting to Evolving AI Technology: Keeping pace with rapid advancements in AI, especially Generative AI, and integrating new capabilities into existing or new designs.
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Remote Collaboration: Maintaining strong team cohesion and effective communication in a fully remote setting.
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Technical Constraints: Ensuring designed solutions are technically feasible and optimized for the existing technology stack.
Learning & Development Opportunities:
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Advanced Conversational Design: Opportunities to delve deeper into advanced UX techniques for AI, including multimodal interactions and personalized experiences.
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AI & ML Fundamentals: Access to training on AI and Machine Learning principles to better understand the underlying technologies of conversational AI.
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Data Analytics Skills: Development in specialized conversational analytics tools and techniques for deeper performance insights.
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Generative AI Applications: Learning to leverage Generative AI for enhanced content creation, dialogue generation, and user engagement.
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Mentorship: Potential to be mentored by senior members of the Solution Optimization team or other AI/UX leaders within Omilia.
π Enhancement Note: The role presents opportunities to tackle complex challenges at the intersection of human-computer interaction and artificial intelligence, fostering significant professional growth in a rapidly evolving field.
π‘ Interview Preparation
Strategy Questions:
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"How would you approach designing a conversational flow for a customer support bot that needs to handle complex technical queries while also aiming to reduce agent escalation by 20%?" (Focus on process, data points, and KPI alignment)
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"Describe a time you identified a flaw in a conversational design based on user interaction data. What steps did you take to rectify it, and what was the outcome?" (Highlight data analysis, problem-solving, and impact)
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"How do you ensure your conversational designs are scalable and maintainable for future business needs, and how do you collaborate with technical teams to achieve this?" (Focus on design principles, collaboration, and technical awareness) Company & Culture Questions:
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"What interests you about Omilia's mission and its approach to conversational AI?" (Research Omilia's products, vision, and market position)
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"How do you approach collaboration in a fully remote, digital-first environment, and what strategies do you use to stay connected and productive?" (Demonstrate self-management and communication skills)
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"How do you stay updated with the latest trends in UX design and Conversational AI, and how do you apply this knowledge?" (Showcase a growth mindset and continuous learning) Portfolio Presentation Strategy:
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Select 1-2 key projects that best showcase your ability to design effective conversational flows, analyze data for optimization, and achieve measurable business results.
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For each project, clearly outline the business problem, your specific role and contributions, the design process, the data used for analysis, the implemented solutions, and quantifiable outcomes.
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Be prepared to discuss the technical considerations and how you collaborated with engineers.
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Practice explaining complex concepts clearly and concisely, adapting your language for a mixed technical and business audience.
π Enhancement Note: Preparing for these types of questions will allow candidates to demonstrate not only their technical skills but also their strategic thinking, problem-solving capabilities, and alignment with Omilia's data-driven, user-centric culture.
π Application Steps
To apply for this Conversational UX Specialist position:
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Submit your application through the provided link on Workable.
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Tailor your Resume: Highlight experience in conversational UX design, AI systems, data analysis for optimization, and stakeholder communication. Quantify achievements whenever possible (e.g., "Improved task completion rate by X%").
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Curate Your Portfolio: Ensure your portfolio clearly demonstrates your design process, data analysis skills, and the measurable impact of your conversational solutions. Prepare to walk through specific case studies.
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Prepare for Remote Work Questions: Be ready to discuss your experience and strategies for working effectively in a fully remote environment, emphasizing communication and self-management.
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Research Omilia: Understand their products, target market, and company values to articulate your interest and how you can contribute to their mission.
β οΈ 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
Candidates must hold a bachelor's degree in a relevant field such as Linguistics, Computer Science, or UX Design. Proven experience in conversational AI design, strong analytical skills, and excellent English communication abilities are required.