ClearGrid is seeking an AI Conversation Design Manager to lead the tactical execution and quality assurance of our borrower communications. You will be responsible for the effectiveness of every interaction across AI voice, SMS, email, WhatsApp, and our self-service portal.
As a senior individual contributor or emerging leader, you will own the end-to-end design of borrower journeys. You will be tasked with ensuring that our AI agents communicate with empathy, precision, and context, directly impacting conversion and debt resolution. This role requires a blend of creative UX design, analytical rigor, and operational discipline.
Core Responsibilities
Conversation Design & Architecture
Lead the design of complex conversation flows for AI voice and chat agents, ensuring a balance between human-centric empathy and operational efficiency.
Refine communication attributes, including tone, pacing, and objection-handling strategies, to improve borrower engagement and resolution rates.
Cross-Channel Journey Integration
Synchronize communications across multiple touchpoints to ensure a unified borrower experience.
Implement context-aware messaging strategies where data from one channel (e.g., a voice call) dynamically informs the tone and content of subsequent interactions (e.g., follow-up SMS or email).
AI Performance & Prompt Optimization
Collaborate with the technical team to provide architectural direction for LLM prompts and agent behaviors.
Conduct regular quality audits of call recordings and chat transcripts to diagnose friction points and iterate on conversation scripts.
Lifecycle Strategy & Execution
Manage the communication framework for the 6-month borrower lifecycle, defining stage-specific messaging and tone shifts based on borrower behavior and historical engagement.
Data-Driven Experimentation
Design and execute A/B tests across messaging, timing, and channel sequencing.
Monitor key performance indicators (KPIs) such as Right-Party Contact (RPC) rates and Promise-to-Pay (PTP) conversion to validate the impact of design changes.
Operational Oversight
Maintain the health of our communication stack by monitoring deliverability, pickup rates, and compliance (DNC) metrics.
Develop repeatable templates and standardized processes to ensure consistency across all borrower-facing channels.
Qualifications
Professional Experience: 4–6 years of experience in conversation design, conversational AI, voice UX, or lifecycle communications management.
Technical Proficiency: Demonstrated experience in designing AI-generated communication flows, prompt iteration, or voice/chat agent behavior.
Cross-Channel Expertise: Proven ability to manage complex customer journeys across voice, SMS, email, and WhatsApp.
Analytical Aptitude: Strong ability to interpret performance data and translate insights into actionable design improvements.
Regional Context: Understanding of the cultural and linguistic nuances of the Middle East market. Arabic fluency is a significant advantage.
Requirements
4+ years of experience in conversation design, conversational AI, voice UX, CRM/lifecycle communications, collections operations, or a related field — with hands-on design work, not just management.
At least 1–2 years leading or mentoring a small team.
Bachelor’s degree in a relevant field (Human-Computer Interaction, Communications, Linguistics, or Business).
Experience in high-volume communication environments such as Fintech, BNPL, or Debt Collections.
Exceptional written and verbal communication skills, with the ability to articulate design logic to both technical and non-technical stakeholders.
Preferred Candidate Profile
Experience in fintech, BNPL, debt collection, lending, telecom, or other high-volume customer communication environments.
Experience with AI voice platforms, TTS/STT technologies, and the practical constraints of voice AI (latency, accuracy, multilingual recognition).
English and Arabic language proficiency.
Experience working in or with Middle Eastern markets.
You own something that matters. Borrower communication is one of the highest-impact levers in our business. Better conversations directly drive better collection outcomes.
The problem is genuinely hard. Designing AI conversations about debt — in multiple languages, across channels, over months-long lifecycles, at scale — is one of the most interesting conversation design challenges that exists right now.
You'll build, not maintain. This isn't about optimizing a legacy system. It's about designing how AI-native collections communication should work from the ground up.
The infrastructure is already there. You won't spend your first year building plumbing. The platform, the scale, the channels — they exist. You get to focus on the experience layer from day one.
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