Conversational UX Specialist

📍 Job Overview

Job Title: Conversational UX Specialist

Company: Omilia

Location: Greece

Job Type: FULL_TIME

Category: Conversational AI / User Experience Operations

Date Posted: 2025-09-23T10:14:21.669

Experience Level: Mid-Level (2-5 years)

Remote Status: TELECOMMUTE (Fully Remote within Greece)

🚀 Role Summary

• Design and optimize user-centric conversational experiences for AI-powered virtual agents, focusing on enhancing user satisfaction and achieving business KPIs.

• Leverage data-driven insights from real conversational interactions to validate design choices, identify areas for improvement, and drive continuous optimization of chatbot and voicebot performance.

• Act as the subject matter expert for conversational AI design, influencing cross-functional teams and ensuring alignment with user-first principles and company objectives.

• Develop scalable, modular, and maintainable conversational flows, coupled with comprehensive documentation, to support efficient future adaptations and knowledge sharing.

• Collaborate closely with project delivery teams and stakeholders to ensure technical feasibility, effective communication of design concepts, and successful implementation of optimized solutions.

📝 Enhancement Note: Based on the job description, this role is situated within a Solution Optimization team, indicating a strong focus on iterative improvement and performance enhancement of existing AI solutions. The emphasis on data analysis and KPI alignment suggests a role that bridges traditional UX design with operational effectiveness, common in advanced GTM and Product Operations functions.

📈 Primary Responsibilities

• Lead the design of conversational flows for AI-powered virtual agents (chatbots and voicebots), ensuring user-centricity, scalability, and modularity.

• Analyze conversational interaction data, user feedback, and performance metrics to identify opportunities for UX enhancement and system optimization.

• Translate complex business requirements and user needs into actionable, user-friendly conversational design solutions.

• Craft clear, engaging, and natural dialogue for conversational interfaces, demonstrating strong copywriting proficiency.

• Collaborate with engineering and product teams to ensure technical feasibility of designs and integrate solutions into the existing technology stack.

• Develop and maintain comprehensive documentation for conversational systems, design decisions, and user flows to facilitate team alignment and knowledge transfer.

• Track and benchmark core Key Performance Indicators (KPIs) across features, services, and relevant industry verticals to identify optimization opportunities and ensure best practices are met.

• Stay abreast of the latest trends, principles, and best practices in conversational AI design and Generative AI to deliver cutting-edge solutions.

• Propose and implement fixes for broken processes within existing conversational designs, driving efficiency and improved user experience.

• Evaluate user interactions and conversation data to uncover areas for improvement, enhancing bot performance and user satisfaction.

📝 Enhancement Note: The responsibilities highlight a blend of proactive design and reactive optimization, emphasizing the iterative nature of conversational AI development. The need to "track benchmarking for core KPIs" and "identify optimization opportunities" strongly suggests an operations-focused approach to UX.

🎓 Skills & Qualifications

Education:

Experience:

• Proven experience in User Experience (UX) design, with a specific focus on conversational interfaces (chatbots, voicebots).

• Demonstrated experience in driving requirements analysis, design, and optimization of Conversational AI systems.

• Strong understanding of conversational UX principles, best practices, and user-centric design methodologies.

• Experience in analyzing user interactions and conversational data to derive actionable insights for optimization.

Required Skills:

• Conversational UX Design: Expertise in designing intuitive and effective conversational flows for AI agents.

• Data-Driven Insights: Ability to analyze conversational data and performance metrics to inform design decisions and optimization strategies.

• Stakeholder Communication: Excellent ability to present design concepts, advocate for user needs, and communicate effectively with business teams and stakeholders.

• Technical Feasibility: Understanding of technical constraints and capabilities within AI/ML-driven conversational systems.

• Documentation: Skill in creating and maintaining clear, comprehensive documentation for design and processes.

• Process Improvement: Proven ability to analyze existing processes, identify issues, and implement optimized solutions.

• Copywriting Proficiency: Exceptional skill in crafting clear, engaging, and natural dialogue for conversational interfaces.

• User-Centric Focus: Deep empathy for end-users and a passion for creating exceptional user experiences.

• Analytical Thinking: Strong ability to analyze complex problems and develop data-backed solutions.

• Communication Skills: Excellent written and verbal communication, with proficiency in English.

Preferred Skills:

• AI/GenAI Experience: Hands-on experience designing UX for AI-driven bots or familiarity with Generative AI solutions.

• Conversational Systems: Production-level knowledge of NLU/NLP solutions and automated dialogue systems.

• Multilingual Abilities: Proficiency in additional languages such as Spanish, French, and/or German, which would be beneficial for global product offerings.

• Creative Thinking: Ability to generate innovative solutions for conversational design challenges.

• Attention to Detail: Meticulous approach to design and documentation.

• Organizational Skills: Ability to manage assignments effectively, whether solo or collaborative.

📝 Enhancement Note: The "2-5 years" experience level inferred from "Mid-Level" aligns with the need for both design expertise and analytical capabilities to drive optimization, a common requirement for mid-level operations roles. The emphasis on data analysis and process improvement is a strong indicator of an operations-centric mindset.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Showcase examples of conversational flows designed for AI agents (chatbots, voicebots), demonstrating modularity and scalability in your approach.

• Include case studies detailing how you used data-driven insights (e.g., user analytics, conversation logs) to optimize existing conversational experiences, highlighting measurable improvements in KPIs such as user satisfaction, task completion rates, or containment rates.

• Present examples of your copywriting for conversational interfaces, emphasizing clarity, natural language, and user engagement.

• Demonstrate your process for translating business needs into user-centric conversational design solutions, perhaps through a workflow diagram or a detailed project breakdown.

Process Documentation:

• Design and maintain comprehensive documentation of conversational systems, including conversation flows, dialogue design, and integration points.

• Document the process for analyzing conversational interaction data, identifying key metrics, and generating optimization recommendations.

• Create process maps for iterative design and optimization cycles, illustrating the feedback loops and continuous improvement mechanisms employed.

📝 Enhancement Note: For a Conversational UX Specialist role with an operations focus, a portfolio should not only display design work but also evidence of analytical rigor and process improvement. Candidates should be prepared to articulate the "why" behind their design choices and the "how" of their optimization efforts, backed by data and measurable outcomes.

💵 Compensation & Benefits

Salary Range:

Based on industry standards for a Conversational UX Specialist with 2-5 years of experience in Greece, and considering the remote nature of the role, the estimated salary range is likely between €25,000 - €40,000 annually. This estimate accounts for the specialized skills in AI/UX design, data analysis, and the cost of living in Greece.

Benefits:

• Fixed compensation: Competitive fixed salary.

• Long-term employment: Stability and commitment to long-term career development.

• Professional Growth: Opportunities for development through courses, training, and continuous learning.

• Cutting-Edge Technology: Involvement in successful, cutting-edge technology products with global impact.

• Collaborative Team: Work alongside proficient and enjoyable colleagues.

• Apple Gear: Provision of Apple equipment for work.

Working Hours:

• The role is full-time, implying standard working hours (e.g., 40 hours per week), with flexibility inherent in a remote, digital-first environment.

📝 Enhancement Note: The salary estimate is derived from aggregated data for UX roles and specialized AI/Conversational AI roles in Greece, adjusted for the specified experience level. Benefits are directly listed as provided by the company.

🎯 Team & Company Context

🏢 Company Culture

Industry: Conversational AI & Virtual Agent Technologies, Software Development. Omilia operates in a dynamic and rapidly evolving technology sector, focusing on enterprise-level voice and chat solutions. This market demands continuous innovation and adaptation to new AI advancements.

Company Size: Omilia is likely a growing technology firm. While the exact number of employees isn't specified in the provided data, the focus on "cutting-edge technology products that are making a global impact" suggests a company that is scaling. For operations professionals, a growing company environment often means opportunities for process development and shaping new operational frameworks.

Founded: The founding date is not explicitly stated, but the company's focus on "forefront of Conversational AI" implies a modern, forward-thinking organization established to leverage advanced technologies.

Team Structure:

• The role is within the "Solution Optimization team," suggesting a dedicated group focused on enhancing existing AI products.

• This team likely comprises specialists in UX, data analysis, AI/ML, and possibly project management, working collaboratively to improve product performance.

• Reporting structure would likely place the Conversational UX Specialist under a team lead or manager responsible for solution delivery and optimization.

Methodology:

• Data Analysis: A core methodology involves analyzing conversational interaction data, user feedback, and performance metrics to identify optimization opportunities.

• Iterative Design & Optimization: The team likely follows an agile or iterative approach, continuously refining conversational experiences based on data and user feedback.

• User-Centric Design: All solutions are developed with a strong emphasis on user needs and experience.

• KPI-Driven Performance: Optimization efforts are directly tied to achieving and improving key business performance indicators.

Company Website: www.omilia.com

📝 Enhancement Note: The "Solution Optimization team" context is crucial. It positions this role not just as a designer but as an operational steward of the conversational AI product, focused on measurable outcomes and continuous improvement, which is a hallmark of effective Revenue Operations or Product Operations functions.

📈 Career & Growth Analysis

Operations Career Level: This role is positioned as a Mid-Level specialist (2-5 years of experience). It requires a solid foundation in UX design principles, specific knowledge of conversational AI, and the ability to apply analytical skills to drive operational improvements. It's a key contributor role with potential for specialization within conversational design or broader AI/UX optimization.

Reporting Structure: The specialist will likely report to a manager or lead within the Solution Optimization team. This structure would provide guidance and oversight while allowing for significant autonomy in their design and analysis tasks. Collaboration with cross-functional teams is a key aspect of the role, broadening exposure to different operational facets of the business.

Operations Impact: The Conversational UX Specialist directly impacts the effectiveness and efficiency of Omilia's AI solutions. By optimizing conversational flows and user experiences, they contribute to improved customer satisfaction, increased bot containment rates, reduced operational costs, and ultimately, enhanced business outcomes and revenue generation through better customer engagement.

Growth Opportunities:

• Specialization: Deepen expertise in specific areas of conversational AI design, such as voice UX, advanced NLU/NLP integration, or dialogue management.

• Leadership: Progress into a Senior Conversational UX Specialist role, leading design initiatives or mentoring junior team members.

• Broader Operations: Transition into broader roles within Product Operations, GTM Operations, or Customer Success, applying their analytical and optimization skills to different business functions.

• Technical Acumen: Develop a stronger understanding of AI/ML technologies, potentially leading to roles in AI product management or engineering liaison.

• Industry Certifications: Pursue certifications in UX design, AI, or specific conversational AI platforms to enhance professional credentials.

📝 Enhancement Note: The growth path from a specialist role focused on optimization suggests a natural progression into more senior or managerial positions within operations or product teams, emphasizing the value of data-driven process improvement in a tech company.

🌐 Work Environment

Office Type: Fully Remote. This indicates a digital-first work environment, emphasizing asynchronous communication and reliance on digital collaboration tools.

Office Location(s): Greece. The role is open to candidates based anywhere in Greece.

Workspace Context:

• Remote Collaboration: The primary workspace is digital, requiring strong self-management skills and proficiency with remote collaboration tools.

• Technology Stack: Access to modern technology and tools provided by the company (e.g., Apple gear) to facilitate work effectively.

• Team Interaction: Opportunities for team interaction will be through virtual meetings, chat platforms, and collaborative document sharing, fostering a connected yet distributed team environment.

Work Schedule:

• Full-time employment with an expectation of standard working hours (e.g., 40 hours per week). The remote nature may offer some flexibility in daily scheduling, but core collaboration hours will likely be expected.

📝 Enhancement Note: A fully remote, digital-first environment requires candidates to be proactive in communication and self-motivated, skills that are highly valued in operations roles for their efficiency and reliability.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: Likely a review of the application, resume, and portfolio to assess foundational skills and experience.

• Technical/Skills Interview: A discussion focused on conversational UX design principles, data analysis techniques, and experience with relevant tools. Candidates may be asked to walk through portfolio examples.

• Design Challenge/Case Study: Candidates may be presented with a scenario to design a conversational flow or analyze a set of conversation data, demonstrating their problem-solving and design capabilities. This is a critical part of evaluating operations impact.

• Team/Cultural Fit Interview: Meeting with potential team members or hiring managers to assess collaboration style, communication skills, and alignment with company values.

• Final Interview: Potentially with senior leadership to discuss strategic alignment and overall fit.

Portfolio Review Tips:

• Showcase Optimization: For each portfolio piece, clearly articulate the problem, your proposed solution (design and process), the data you used, and the measurable impact (e.g., improved KPIs, efficiency gains). This is crucial for an operations-focused role.

• Highlight Data Analysis: If possible, include examples of how you've used analytics tools or data interpretation to inform your design and optimization efforts.

• Demonstrate Process Thinking: Present your design process clearly, including how you gather requirements, iterate, and document your work. Show your understanding of the full lifecycle of a conversational AI solution.

• Tailor to Omilia: Research Omilia's products and target markets to tailor your portfolio presentation, highlighting relevant experience or insights.

Challenge Preparation:

• Understand Conversational AI: Be ready to discuss common conversational AI patterns, error handling, and NLU/NLP concepts.

• Practice Data Interpretation: Prepare to analyze sample conversation logs or performance data to identify user pain points and suggest improvements.

• Focus on Business Impact: Frame your answers and portfolio examples in terms of how they drive business value, efficiency, and customer satisfaction.

📝 Enhancement Note: The emphasis on "Solution Optimization" and "Data-Driven Insights" in the job description means the portfolio review and any potential case studies will heavily scrutinize the candidate's ability to demonstrate measurable impact and process improvement, which are core to operations roles.

🛠 Tools & Technology Stack

Primary Tools:

• Conversational AI Platforms: Familiarity with platforms for building and managing chatbots/voicebots (specific platforms not mentioned, but general knowledge is key).

• UX Design Tools: Proficiency in tools like Figma, Sketch, Adobe XD, or similar for designing user interfaces and conversational flows.

• Data Analysis Tools: Experience with analytics platforms (e.g., Google Analytics, Mixpanel, Amplitude) or custom reporting tools to analyze user interaction data.

• Project Management Tools: Familiarity with tools like Jira, Asana, Trello for managing tasks and workflows.

Analytics & Reporting:

• Tools for analyzing conversational data, user feedback, and system performance metrics.

CRM & Automation:

• While not explicitly mentioned, understanding CRM systems (like Salesforce) and marketing/sales automation tools can be beneficial for understanding the broader customer journey and how conversational AI integrates.

• Integration tools knowledge could be a plus if the role involves understanding how the AI solutions connect with other enterprise systems.

📝 Enhancement Note: Proficiency in data analysis and visualization tools is critical for the "Solution Optimization" aspect of this role. Candidates should be prepared to discuss their experience with specific tools used for analyzing conversation logs, user behavior, and performance metrics.

👥 Team Culture & Values

Operations Values:

• Data-Driven Decision Making: Emphasis on using data and analytics to inform design choices and optimization strategies.

• User-Centricity: A strong commitment to understanding and serving end-user needs to create effective and engaging experiences.

• Efficiency & Optimization: A continuous drive to improve processes, systems, and user journeys for maximum effectiveness.

• Collaboration: Working effectively with cross-functional teams to achieve shared goals.

• Innovation: Staying at the forefront of AI and conversational technologies to deliver cutting-edge solutions.

• Growth Mindset: Embracing learning, feedback, and continuous improvement in all aspects of work.

Collaboration Style:

• Cross-functional Integration: Expect close collaboration with product, engineering, and potentially sales/marketing teams to ensure alignment and successful implementation of conversational AI solutions.

• Process Review: An environment that encourages open feedback and iterative refinement of both designs and operational processes.

• Knowledge Sharing: A culture that values sharing insights, best practices, and learnings to elevate the entire team's capabilities.

📝 Enhancement Note: The company values, particularly "Efficiency & Optimization" and "Data-Driven Decision Making," directly align with the core tenets of operations roles. Candidates should demonstrate how these values are reflected in their past work.

⚡ Challenges & Growth Opportunities

Challenges:

• Balancing User Needs with Business Goals: Effectively translating diverse business objectives into user-friendly conversational experiences.

• Data Complexity: Analyzing and deriving actionable insights from large volumes of unstructured conversational data.

• Rapid Technological Evolution: Keeping pace with advancements in AI, Generative AI, and NLU/NLP technologies.

• Ensuring Scalability and Maintainability: Designing conversational flows that are robust, adaptable, and easy to manage as products evolve.

• Remote Collaboration Effectiveness: Maintaining strong communication and collaboration within a fully distributed team.

Learning & Development Opportunities:

• AI/GenAI Specialization: Opportunities to deepen expertise in emerging AI technologies and their application in conversational interfaces.

• Advanced Analytics: Developing skills in more sophisticated data analysis techniques and tools for user behavior and conversation performance.

• Cross-functional Exposure: Gaining broader understanding of product development, customer success, and go-to-market strategies.

• Industry Conferences & Training: Potential for participation in industry events and specialized training programs to enhance skills in conversational design and AI.

• Mentorship: Opportunities to learn from experienced professionals within the Solution Optimization team and across Omilia.

📝 Enhancement Note: The challenges listed are typical for roles at the intersection of UX and operations in a fast-paced tech industry. Highlighting how one would approach these challenges, especially those involving data and continuous improvement, is key.

💡 Interview Preparation

Strategy Questions:

• Designing for Scale: "How would you design a conversational flow for a new feature that needs to accommodate a 50% increase in user volume within six months?" (Focus on modularity, error handling, and scalability.)

• Data-Driven Optimization: "Given a dataset of user conversations with a chatbot, how would you identify and prioritize areas for UX improvement to increase successful task completion rates by 15%?" (Focus on analytical process, metric selection, and proposed solutions.)

• Stakeholder Alignment: "Imagine a disagreement between the product team wanting feature X and the customer success team wanting feature Y for a new chatbot. How would you facilitate a decision that prioritizes user experience and business impact?" (Focus on communication, data-driven advocacy, and consensus building.)

Company & Culture Questions:

• "What interests you most about Omilia's work in Conversational AI?" (Research Omilia's products and recent news.)

• "How do you approach continuous learning in the rapidly evolving field of AI and UX design?" (Demonstrate a growth mindset and proactive learning habits.)

Portfolio Presentation Strategy:

• Narrative Arc: Structure your portfolio presentation with a clear narrative: Problem -> Your Solution (Design & Process) -> Data Used -> Measurable Impact.

• Quantify Impact: Use specific metrics and percentages to demonstrate the success of your optimization efforts.

• Showcase Process: Clearly explain your design and optimization workflow, including how you leverage data and collaborate with teams.

• Explain 'Why': Be prepared to articulate the rationale behind your design decisions and optimization strategies, connecting them to user needs and business objectives.

📝 Enhancement Note: Interview questions will likely probe the candidate's ability to connect UX design principles with tangible operational outcomes and data-driven improvements, reflecting the role's focus on solution optimization.

📌 Application Steps

To apply for this operations position:

• Submit your application through the provided link on Workable.

• Portfolio Customization: Ensure your portfolio prominently features examples of conversational design and, crucially, demonstrates your ability to analyze data and optimize user experiences for measurable business impact. Highlight case studies of process improvements.

• Resume Optimization: Tailor your resume to emphasize keywords like "Conversational UX," "AI Design," "Data Analysis," "Process Improvement," "KPI Optimization," and "Stakeholder Communication." Quantify achievements wherever possible.

• Interview Preparation: Practice articulating your design process, data analysis methodologies, and how you drive efficiency and user satisfaction. Be ready to discuss specific examples from your portfolio and how they relate to Omilia's work.

• Company Research: Familiarize yourself with Omilia's products, mission, and the broader Conversational AI landscape. Understand their approach to technology and customer engagement to demonstrate genuine interest and cultural alignment.

⚠️ 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.