AI Conversation Design Manager
π Job Overview
Job Title: AI Conversation Design Manager
Company: ClearGrid
Location: Dubai, United Arab Emirates
Job Type: Full-Time
Category: Revenue Operations / GTM Operations (Focus on Customer Communication Strategy & AI Optimization)
Date Posted: June 08, 2026
Experience Level: 5-10 Years (Mid to Senior Level)
Remote Status: On-site
π Role Summary
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Lead the tactical execution and quality assurance of AI-driven borrower communications across multiple channels including AI voice, SMS, email, and WhatsApp, directly impacting debt resolution rates.
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Own the end-to-end design of borrower journeys, ensuring empathetic, precise, and context-aware interactions that drive conversion and operational efficiency.
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Collaborate with technical teams to optimize LLM prompts and AI agent behaviors, leveraging data-driven experimentation and performance analytics.
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Manage communication strategies across a 6-month borrower lifecycle, adapting tone and content based on borrower behavior and engagement.
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This role requires a blend of creative UX design, analytical rigor, and operational discipline to enhance customer communication effectiveness.
π Enhancement Note: While the title is "AI Conversation Design Manager," the core responsibilities and industry context (Fintech, Debt Collections) strongly indicate a role within Revenue Operations or GTM Operations, focusing on optimizing customer communication for financial outcomes. The emphasis on KPIs like RPC and PTP, and lifecycle management, aligns with revenue-generating operations. The "manager" title here appears to denote a senior individual contributor or an emerging leadership role managing a specific function rather than a large team.
π Primary Responsibilities
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Conversation Design & Architecture: Lead the design and architecture of complex conversation flows for AI voice and chat agents, balancing human-centric empathy with operational efficiency and debt resolution goals.
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Communication Strategy Refinement: Define and refine communication attributes, including tone, pacing, objection-handling strategies, and compliance adherence, to elevate borrower engagement and improve collection success rates.
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Cross-Channel Journey Integration: Synchronize and integrate communication strategies across multiple touchpoints (voice, SMS, email, WhatsApp) to ensure a unified, context-aware, and consistent borrower experience.
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AI Performance & Prompt Optimization: Collaborate closely with engineering and AI teams to provide architectural direction for LLM prompts and AI agent behaviors, focusing on improving accuracy and effectiveness.
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Quality Assurance & Audits: Conduct regular quality audits of call recordings and chat transcripts to diagnose friction points, identify areas for improvement, and iterate on conversation scripts and AI responses.
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Lifecycle Communication Management: Manage the end-to-end communication framework for the 6-month borrower lifecycle, defining stage-specific messaging, tone shifts, and channel sequencing based on borrower behavior and historical engagement data.
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Data-Driven Experimentation: Design, execute, and analyze A/B tests across messaging, timing, channel sequencing, and AI agent responses to validate the impact of design changes on key performance indicators (KPIs).
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KPI Monitoring & Analysis: Monitor and report on critical performance indicators (KPIs) such as Right-Party Contact (RPC) rates, Promise-to-Pay (PTP) conversion rates, kept PTP, and recovery rates to demonstrate the impact of communication strategies.
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Operational Oversight & Compliance: Maintain the health and effectiveness of the communication stack by monitoring deliverability, pickup rates, and ensuring strict adherence to compliance regulations (e.g., Do Not Call - DNC metrics).
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Process Standardization: Develop repeatable templates, standardized processes, and best practices to ensure consistency, scalability, and compliance across all borrower-facing communication channels.
π Enhancement Note: The responsibilities heavily emphasize operational execution, performance measurement, and process standardization within a revenue-generating context (debt collection). The focus on KPIs like RPC and PTP, alongside lifecycle management and compliance, strongly points to a role deeply embedded in Revenue Operations, specifically within a collections or financial services environment. The term "manager" here likely refers to functional ownership and strategic oversight rather than direct team management, though some team leadership is implied.
π Skills & Qualifications
Education:
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Bachelorβs degree in Human-Computer Interaction, Communications, Linguistics, Business, or a related field. Experience:
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4-6 years of professional experience in conversation design, conversational AI, voice UX, CRM/lifecycle communications management, or collections operations.
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Demonstrated hands-on experience in designing AI-generated communication flows, prompt iteration, or defining voice/chat agent behaviors.
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At least 1-2 years of experience in a lead or mentoring capacity, guiding junior team members or influencing cross-functional initiatives.
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Experience in high-volume communication environments such as Fintech, Buy Now Pay Later (BNPL), or Debt Collections. Required Skills:
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Conversation Design & AI: Expertise in designing complex, empathetic, and effective conversation flows for AI voice and chat platforms.
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Cross-Channel Communication Strategy: Proven ability to design and integrate customer journeys across voice, SMS, email, and WhatsApp, ensuring a seamless experience.
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Prompt Engineering & LLM Optimization: Experience in collaborating with technical teams to refine and optimize LLM prompts and AI agent behaviors for improved performance.
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Data Analysis & Interpretation: Strong analytical aptitude to interpret performance data (e.g., RPC, PTP rates) and translate insights into actionable design improvements.
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Customer Journey Mapping: Ability to map and manage customer lifecycles, defining stage-specific communication strategies.
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Written & Verbal Communication: Exceptional skills in articulating design logic and operational insights to both technical and non-technical stakeholders.
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UX Principles: Solid understanding of user experience (UX) principles, particularly as applied to conversational interfaces.
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Operational Discipline: A structured approach to managing communication processes, ensuring consistency and compliance.
Preferred Skills:
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Arabic Language Proficiency: Fluency in both English and Arabic is a significant advantage, given the regional context.
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Middle Eastern Market Experience: Familiarity with the cultural and linguistic nuances of the Middle East market.
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Fintech/Collections Domain Expertise: Experience in fintech, BNPL, debt collection, or lending environments, with a strong understanding of collections-specific metrics (RPC, PTP, recovery rates).
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AI Voice Platforms: Familiarity with AI voice platforms, Text-to-Speech (TTS), and Speech-to-Text (STT) technologies, including practical constraints like latency and accuracy.
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CRM & Automation Tools: Experience with CRM systems and communication automation platforms relevant to customer lifecycle management.
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Compliance Knowledge: Understanding of relevant communication compliance regulations (e.g., DNC).
π Enhancement Note: The "Requirements" section in the original listing reinforces the need for hands-on design experience, not just management, and specifies leadership experience. The "Preferred Candidate Profile" highlights critical regional and industry-specific knowledge, particularly Arabic fluency and fintech/collections experience, which are crucial for success in this role within the Dubai market.
π Process & Systems Portfolio Requirements
Portfolio Essentials:
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Conversation Flow Designs: Showcase examples of detailed conversation flows designed for voice and/or chat AI, demonstrating logical structures, decision trees, and error handling.
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Cross-Channel Journey Examples: Illustrate how you've designed integrated customer journeys across multiple communication channels (e.g., voice to SMS follow-up), highlighting context transfer and consistency.
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Prompt Engineering & AI Interaction Examples: Provide examples of prompts or instructions given to AI models, or demonstrate how you've influenced AI agent behavior to achieve specific communication outcomes.
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Metrics-Driven Improvements: Include case studies that clearly demonstrate how your design interventions led to measurable improvements in key operational metrics (e.g., increased RPC, higher PTP conversion, reduced customer friction).
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Lifecycle Communication Strategy: Present examples of communication plans or frameworks designed for specific customer lifecycle stages, showing adaptation to user behavior and goals.
Process Documentation:
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Workflow Design & Optimization: Demonstrate your ability to map existing communication workflows, identify bottlenecks, and design optimized processes for AI-driven interactions.
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Implementation & Automation Methods: Showcase experience in translating conversation designs into actionable configurations within AI platforms or communication tools, and leveraging automation effectively.
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Measurement & Performance Analysis: Outline your approach to setting up performance metrics, tracking KPIs, and conducting regular analyses to drive continuous improvement in conversation design and operational outcomes.
π Enhancement Note: For a role focused on AI conversation design and operational execution in a revenue-generating context, a portfolio must showcase not only creative design but also analytical rigor and demonstrable impact. The emphasis should be on how designs translate into measurable business results and efficient operations.
π΅ Compensation & Benefits
Salary Range:
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Estimated Range: AED 18,000 - AED 25,000 per month (approximately USD 4,900 - USD 6,800 per month).
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Rationale: This estimate is based on industry benchmarks for experienced professionals in Conversation Design, AI UX, and Communication Strategy roles in Dubai, considering the 4-6+ years of experience requirement, leadership component, and the specialized nature of AI/Fintech. Dubai's cost of living and competitive market rates for tech and operations roles were factored in.
Benefits:
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Comprehensive Health Insurance: Including medical, dental, and vision coverage, standard for international roles in Dubai.
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Paid Time Off (PTO): Generous vacation days, sick leave, and public holidays as per UAE labor law and company policy.
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Professional Development Budget: Support for training, certifications, conferences, and workshops relevant to AI, UX, and operational excellence.
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Performance Bonuses: Potential for bonuses tied to individual and company performance, particularly linked to debt resolution and collection targets.
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Relocation Assistance: If applicable, support for international relocation to Dubai.
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Retirement Savings Plan: Potentially a provident fund or similar scheme, depending on company policy and employee status.
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Visa Sponsorship: For eligible candidates requiring work authorization in the UAE.
Working Hours:
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Standard: 40 hours per week, typically Monday to Friday.
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Flexibility: While the role is on-site, there may be some flexibility in daily start/end times, with the understanding that operational needs, especially in communication, might require occasional adjustments or responsiveness outside standard hours, particularly when managing cross-channel communications or critical debt resolution cycles.
π Enhancement Note: Salary ranges for Dubai are typically quoted monthly. The estimated range is derived from general market data for similar roles and experience levels in the UAE, acknowledging the specific industry and technical skills required. Benefits are typical for multinational companies operating in Dubai.
π― Team & Company Context
π’ Company Culture
Industry: Financial Technology (Fintech), specifically focusing on debt collection and recovery solutions.
Company Size: ClearGrid is likely a growing startup or mid-sized company, as indicated by the career site structure and the nature of the role (building from the ground up). The company size implies agility, direct impact, and potentially a dynamic work environment.
Founded: Information not provided, but the focus on "building, not maintaining" and "AI-native collections communication from the ground up" suggests a relatively modern company, possibly founded within the last 5-10 years, with a strong emphasis on leveraging technology.
Team Structure:
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The AI Conversation Design Manager will likely report into a Head of Revenue Operations, Head of Product, or a senior CX/Operations lead.
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This role involves close collaboration with technical teams (AI Engineers, Data Scientists), product managers, marketing, and potentially sales or customer success teams involved in borrower outreach.
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The team structure is expected to be lean and agile, typical of a growth-stage fintech company, fostering cross-functional teamwork and direct impact. Methodology:
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Data Analysis & Insights: The company emphasizes a data-driven approach to optimizing borrower communication, using KPIs like RPC and PTP to guide decisions.
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Agile Experimentation: A culture of A/B testing and iterative improvement for communication strategies and AI performance is central to the role.
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User-Centric Design: While focused on operational efficiency, there's a clear emphasis on empathy and human-centric design in borrower interactions.
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Technology Integration: A strong focus on leveraging AI, LLMs, and modern communication platforms to build scalable and effective solutions.
Company Website: https://careers.cleargrid.co/
π Enhancement Note: The company's focus on "AI-native collections communication" and the description of the role as "building, not maintaining" suggest a forward-thinking, innovative culture within the fintech and debt collections space. The emphasis on metrics and experimentation points to a performance-oriented environment.
π Career & Growth Analysis
Operations Career Level: This role is positioned as a senior individual contributor with potential for emerging leadership. It represents a significant step for professionals in conversation design, voice UX, or customer communications looking to specialize in AI-driven revenue optimization and impact tangible business outcomes like debt resolution.
Reporting Structure: The AI Conversation Design Manager will likely report to a director or VP level within Revenue Operations, Product, or CX. This provides exposure to senior leadership and strategic decision-making.
Operations Impact: This role has a direct and measurable impact on ClearGrid's core business: debt resolution. By optimizing borrower communications through AI, the manager will directly influence revenue collection, customer engagement, and operational efficiency. Success in this role means tangible improvements in financial performance metrics.
Growth Opportunities:
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Specialization: Deepen expertise in AI conversation design, prompt engineering, and conversational analytics within the fintech/collections domain.
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Leadership Track: Transition into a formal team management role, leading a group of conversation designers or CX specialists as the company scales.
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Strategic Influence: Grow into a more strategic role, shaping the overall AI communication strategy for the company and influencing product development.
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Cross-Functional Mobility: Opportunities to move into broader Revenue Operations, Product Management, or CX Strategy roles, leveraging a unique blend of design, data, and operational skills.
π Enhancement Note: The role offers a unique opportunity to shape a critical function from the ground up in a specialized, high-impact area. The growth potential is significant for individuals who can demonstrate success in driving measurable operational and financial results through AI-powered communication.
π Work Environment
Office Type: This is an on-site role in Dubai, suggesting a professional office environment. ClearGrid likely offers a modern workspace designed for collaboration and productivity, typical of tech companies.
Office Location(s): The office is located in Dubai, United Arab Emirates. Specific details regarding the exact business district or accessibility would need to be confirmed, but Dubai is a major international hub with excellent infrastructure.
Workspace Context:
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Collaborative Environment: The role requires close collaboration with technical, product, and operations teams, indicating a dynamic and interactive workspace.
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Technology & Tools: Access to state-of-the-art AI platforms, communication tools, analytics dashboards, and potentially LLM development environments.
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Team Interaction: Opportunities to engage with a diverse team of professionals in a fast-paced fintech setting, fostering knowledge sharing and problem-solving.
Work Schedule:
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Standard working hours (likely 40 hours per week, Monday-Friday) are expected for an on-site role.
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Given the nature of customer communication and debt resolution, there may be an expectation of some flexibility or availability outside core hours to address urgent issues or monitor critical communication streams, especially during peak periods or when dealing with time-sensitive borrower interactions.
π Enhancement Note: The on-site requirement in Dubai suggests a commitment to in-person collaboration and a company culture that values direct team interaction. The work environment is likely to be fast-paced and technology-centric, suitable for professionals who thrive in dynamic settings.
π Application & Portfolio Review Process
Interview Process:
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Initial Screening: A review of your resume and application to assess alignment with core qualifications and experience.
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Hiring Manager Interview: A discussion focusing on your background in conversation design, AI, cross-channel communications, and leadership experience. Expect questions about your approach to empathy, operational efficiency, and data analysis.
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Portfolio Presentation & Technical Interview: A crucial stage where you'll present a curated portfolio showcasing your best work. This will likely involve discussing specific case studies, design choices, and the impact of your work on key metrics. Technical questions may delve into prompt engineering, AI limitations, and cross-channel strategy.
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Cross-Functional Stakeholder Interviews: Meetings with members from technical, product, and operations teams to assess your collaboration skills, ability to communicate complex ideas, and understanding of the business context (Fintech/Collections).
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Final Interview: A discussion with senior leadership to evaluate strategic thinking, cultural fit, and overall potential contribution to ClearGrid's mission.
Portfolio Review Tips:
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Focus on Impact: Select 2-3 key projects that demonstrate quantifiable results. Clearly articulate the problem, your solution (design/strategy), and the measurable outcomes (e.g., % increase in PTP, % decrease in customer complaints).
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Showcase Process: Explain your design process, including user research (if applicable), iterative refinement, A/B testing methodology, and how you incorporated feedback and data.
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Highlight Cross-Channel Integration: Demonstrate how you've designed coherent experiences across different channels, showing an understanding of how context flows between them.
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Address Empathy & Efficiency: For each project, explain how you balanced empathetic communication with the operational need for efficiency and successful debt resolution.
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Regional Nuances (if applicable): If you have experience with the Middle Eastern market or Arabic language design, be sure to highlight this and provide relevant examples.
Challenge Preparation:
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Scenario-Based Questions: Be prepared for hypothetical scenarios related to designing conversations for difficult debt collection situations, handling specific borrower objections, or optimizing a particular stage of the lifecycle.
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Metrics-Driven Solutions: Practice articulating how you would approach measuring the success of a new communication strategy or AI interaction.
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Stakeholder Communication: Prepare to explain technical concepts (like LLM prompts) and design decisions to non-technical audiences.
π Enhancement Note: The portfolio review is critical for this role. Candidates must be prepared to not only showcase their design skills but also their ability to translate those designs into measurable business outcomes and operational efficiencies within a complex domain like debt collection.
π Tools & Technology Stack
Primary Tools:
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AI Voice Platforms: Experience with platforms like Amazon Connect, Google Contact Center AI, Twilio Autopilot, or similar conversational AI solutions for voice.
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Chatbot/Messaging Platforms: Familiarity with tools like Dialogflow, Rasa, Microsoft Bot Framework, or custom-built solutions for SMS, WhatsApp, and web chat.
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Prompt Engineering Interfaces: Direct experience or understanding of how to interact with and refine prompts for Large Language Models (LLMs) (e.g., via APIs or specific LLM platforms).
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CRM Systems: Proficiency with CRM platforms like Salesforce, HubSpot, or specialized collections software for managing customer data and interaction history.
Analytics & Reporting:
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Data Visualization Tools: Experience with tools like Tableau, Power BI, Looker, or similar for creating dashboards and reports on communication performance.
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Analytics Platforms: Familiarity with web analytics (Google Analytics), call center analytics, or specialized communication analytics platforms.
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Spreadsheet Software: Advanced proficiency in Excel or Google Sheets for data manipulation, analysis, and reporting.
CRM & Automation:
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Marketing Automation/Communication Platforms: Experience with tools like Braze, Iterable, Twilio Engage, or similar for orchestrating cross-channel communication campaigns.
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Integration Tools (Basic Understanding): Awareness of how communication platforms integrate with CRMs and other business systems.
π Enhancement Note: The role requires a blend of creative design tools and analytical/operational platforms. Proficiency with AI-specific tools, CRM, and data analysis tools is essential for success. Specific platform names might vary, but the functional capabilities are key.
π₯ Team Culture & Values
Operations Values:
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Data-Driven Decision Making: A core value is relying on performance metrics and data analysis to guide strategy and optimize operations.
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Customer-Centricity with Empathy: While focused on collections, there's an emphasis on designing communications that are empathetic and respectful of the borrower's situation.
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Operational Excellence & Efficiency: A drive to continuously improve processes, automate where possible, and achieve maximum efficiency in communication delivery and outcomes.
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Innovation & Adaptability: Embracing new AI technologies and communication methods to stay at the forefront of the industry.
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Collaboration & Transparency: Working effectively across teams and sharing insights openly to achieve collective goals.
Collaboration Style:
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Cross-Functional Integration: Expect a highly collaborative environment where close partnerships with engineering, product, and other operations teams are essential for success.
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Feedback-Driven Improvement: A culture that encourages open feedback loops for refining designs, processes, and AI performance.
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Knowledge Sharing: Encouraging the sharing of best practices, learnings from A/B tests, and insights from data analysis across teams.
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Problem-Solving Orientation: A proactive approach to identifying and solving complex challenges in AI communication and debt resolution.
π Enhancement Note: The company culture likely values a blend of analytical rigor, innovative thinking, and a pragmatic approach to achieving financial goals through effective, empathetic communication. Collaboration and data-driven decision-making are expected to be paramount.
β‘ Challenges & Growth Opportunities
Challenges:
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Balancing Empathy and Efficacy: Designing conversations that are both empathetic towards borrowers in potentially difficult financial situations and highly effective at driving debt resolution.
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Navigating Complex Regulations: Ensuring all communications comply with regional and international debt collection regulations and data privacy laws.
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Technical Integration Complexities: Working with AI models and communication platforms that may have limitations or require intricate configuration for optimal performance.
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Data Interpretation for Nuanced Outcomes: Translating complex borrower behaviors and communication data into actionable insights for AI and design refinement.
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Cultural and Linguistic Adaptation: Effectively designing communications that resonate with diverse audiences across the Middle East, especially if Arabic fluency is not a prerequisite for all team members.
Learning & Development Opportunities:
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AI & LLM Specialization: Opportunities to become an expert in applying advanced AI and LLM technologies to customer communication and revenue operations.
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Fintech & Collections Domain Expertise: Deepening knowledge of the financial services sector, specifically debt collection strategies and compliance.
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Data Science & Analytics: Developing advanced skills in analyzing communication performance data and driving insights for AI optimization.
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Cross-Functional Leadership: Gaining experience in leading initiatives that span product, engineering, and operations, preparing for broader leadership roles.
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Industry Conferences & Certifications: Potential support for attending leading AI, UX, or Fintech conferences and obtaining relevant certifications.
π Enhancement Note: This role presents significant challenges due to the sensitive nature of debt collection and the rapidly evolving AI landscape. However, these challenges also create substantial growth opportunities for individuals looking to specialize in a high-impact area of operations.
π‘ Interview Preparation
Strategy Questions:
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"Describe your approach to designing empathetic yet effective AI conversations for debt collection. How do you balance these two critical aspects?"
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"Walk us through a complex cross-channel customer journey you've designed. What were the key challenges, and how did you ensure a seamless experience?"
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"How would you approach optimizing an LLM prompt to improve a borrower's likelihood of making a Promise-to-Pay (PTP)?"
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"Imagine a scenario where a borrower is consistently unresponsive or expresses significant distress. How would you design the AI's response and potential escalation path?" Company & Culture Questions:
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"What interests you specifically about ClearGrid and our mission in the fintech/debt collection space?"
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"How do you see your role contributing to ClearGrid's overall revenue goals?"
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"Describe your experience working in a fast-paced, potentially startup-like environment. How do you adapt to change?"
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"How would you foster collaboration between conversation design and technical AI teams?" Portfolio Presentation Strategy:
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Structure Your Narrative: For each case study, clearly state the objective, your role and specific contributions, the process you followed, the challenges encountered, the solution implemented, and most importantly, the quantifiable results.
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Visualize Your Work: Use flowcharts, mockups, recordings (if permissible), or screenshots to illustrate your conversation designs and user journeys.
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Quantify Impact: Be ready to discuss the specific KPIs you influenced and the percentage improvements achieved. If exact numbers are confidential, discuss the methodology and expected impact.
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Connect to ClearGrid's Needs: Tailor your examples to showcase skills most relevant to ClearGrid's challenges (e.g., Arabic language design, fintech experience, A/B testing for PTP).
π Enhancement Note: Interviewers will be looking for a candidate who can demonstrate a strong blend of creative design thinking, analytical capability, operational discipline, and a deep understanding of how communication directly impacts financial outcomes in a regulated industry.
π Application Steps
To apply for this operations position:
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Submit your application through the ClearGrid careers portal at https://careers.cleargrid.co/jobs/7871646-ai-conversation-design-manager.
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Customize Your Resume: Tailor your resume to highlight experience in conversation design, AI, cross-channel communications, and any relevant fintech or collections experience. Use keywords from the job description such as "AI voice," "LLM optimization," "Right-Party Contact (RPC)," and "Promise-to-Pay (PTP)."
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Prepare Your Portfolio: Curate a selection of your strongest work that demonstrates your skills in conversation design, journey mapping, data-driven iteration, and measurable impact. Ensure it includes examples relevant to the financial services or high-volume communication sectors.
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Research ClearGrid: Understand the company's mission, the fintech/debt collection industry landscape, and the specific challenges this role aims to solve. Prepare to articulate how your skills align with their strategic objectives.
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Practice Interview Responses: Rehearse answers to common interview questions, especially those focusing on your design process, problem-solving approach, and ability to quantify results. Be ready to present your portfolio confidently.
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
Requires 4-6 years of experience in conversation design or voice UX, including 1-2 years of leadership experience. A bachelor's degree in a relevant field and experience in high-volume environments like Fintech or Debt Collections are required.