- Experience
- Any
- Salary
- —
- Openings
- 1
- Posted
- 5 days ago
- Work mode
- In office
- Education
- Bachelor's degree
- Resume
- Required to apply
Where you'll work
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Job description
About The Team
We are developing advanced conversational AI agents leveraging Large Language Models (LLMs) and Agentic AI technology to revolutionize customer interactions at Monee. Our cross-functional product and engineering group collaborates closely with fintech sectors including credit, payments, digital banking, collections, customer service, and promotions to craft, develop, and refine AI-powered dialogue experiences end-to-end. Our focus blends strong technical expertise with business insight to deliver AI agents that achieve high operational efficiency and scalability.
Job Overview
This role entails complete ownership of conversational AI agent products throughout their lifecycle—from discovering user challenges and designing solutions to launching, iterating, and optimizing performance. The position requires deep partnership with business teams to convert operational challenges into effective AI-driven dialogue flows and agent behaviors. You will collaborate with engineering and data science teams to define escalation protocols, LLM integration approaches, and leverage cross-domain initiatives to foster reusable chat agent capabilities as usage grows company-wide.
Key Responsibilities
- Lead end-to-end product lifecycle management for conversational AI agents.
- Engage closely with business stakeholders to identify operational issues and translate them into AI-driven agent experiences.
- Define conversational agent behaviors, dialogue flow designs, escalation mechanisms, and LLM integration strategies alongside engineering and data science teams.
- Champion company-wide initiatives to identify common patterns and reusable components as chatbot deployments expand.
- Utilize data analytics, user feedback, and experimental results to enhance task success rates, containment measures, and customer satisfaction.
- Collaborate cross-functionally with teams in business, risk, operations, and engineering to align strategies and ensure seamless execution.
Candidate Requirements
- Possess a Bachelor's degree or higher; degrees in Computer Science, Data Science, Engineering, or similar disciplines preferred but not essential.
- Demonstrated experience in product management or AI-focused product development, ideally with direct exposure to LLMs, conversational AI platforms, or multi-agent systems.
- Strong analytical acumen paired with technical fluency, comfortable discussing system architecture, prompt engineering, and AI performance metrics.
- Experience embedded within business or operations teams to collaboratively drive tangible business results beyond mere specification writing.
- Familiarity with fintech, financial services, or lending sectors is advantageous.
- Excellent communication and stakeholder management skills, capable of working with diverse teams across regions.
- Highly self-motivated, adaptable, with a proactive orientation towards transforming AI innovations into measurable business outcomes.
Minimum education
Bachelor's Degree