Remote AI Operations Engineer — CX Automation & IRR

Reap

Philippines

On-site

PHP 5,549,000 - 8,015,000

Full time

35 hours ago
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Benefits offered by this job

Health insurance budget
Home office equipment budget
Corporate Reap Card
Flexible remote work

Job summary

Reap is seeking an experienced professional to own the AI agent for the Reap Business Account line. You will work hands-on to design workflows, test changes, and ship improvements that raise Indpendently Resolved Rate (IRR) and scale across CX and Operations.

You will own a feedback loop of diagnose, fix, measure, and iterate in a fast-moving fintech environment. The role emphasizes building AI-powered tooling, knowledge management, and strategic impact while reducing reliance on engineering

Qualifications

  • 3+ years in customer experience operations or related field.
  • Hands-on experience configuring and improving an AI/automated support agent in production.
  • Strong analytical ability with support data; able to transform data into actionable items.
  • Genuine appetite for iterative work and continuous improvement.
  • Low-code fluency with tools like JavaScript, JSON, REST, and automation platforms.

Responsibilities

  • Dig into ticket-level and aggregate data to identify why the AI agent fails to resolve independently.
  • Build and maintain reporting to show IRR movement by business line, channel, and intent.
  • Run root cause analysis on failed resolutions and prioritise improvements.

Skills

Analytical skills
Process improvement
Low-code fluency
English writing
Problem solving

Tools

JavaScript
JSON
REST APIs
n8n
Make
Zapier

Job description

Reap is seeking an experienced professional to own the AI agent for the Reap Business Account line. You will work hands-on to design workflows, test changes, and ship improvements that raise Indpendently Resolved Rate (IRR) and scale across CX and Operations.

You will own a feedback loop of diagnose, fix, measure, and iterate in a fast-moving fintech environment. The role emphasizes building AI-powered tooling, knowledge management, and strategic impact while reducing reliance on engineering

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