Remote AI SaaS Customer Success Engineer (LATAM)

Mercor

Buenos Aires

Remote

ARS 90,953,000 - 136,430,000

Full time

14 days+
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Job summary

Mercor is seeking a Talent Success specialist to ensure a delightful experience for users from application to offer and payment. You will work with engineering to triage bugs, reproduce issues, and understand SaaS behavior.

Role requires native-level English tone, strong writing skills, and collaboration with product teams. This remote position demands substantial overlap with Pacific Time and is open only to candidates in Latin America.

Qualifications

  • Ability to debug web applications, likely coming from a technical background.
  • Degree in Computer Science, Software Engineering, or a related field from a top-tier institution.
  • Experience building modern web applications (React, Node, Flask, Next.js, etc.) OR 2–5 years of customer support for such apps.
  • Comfortable with AI systems and generative models.
  • Experience exploring AI tools (fine-tuning, prompt chains, or building agents).
  • Understanding model outputs, failure modes, and feedback loops.

Responsibilities

  • Investigate talent-reported issues end-to-end: reproduce bugs and identify root causes.
  • Debug across our AI + SaaS stack using telemetry, logs, and queries.
  • Triaging with sound judgment and guiding users with clear instructions.
  • Surface systemic patterns and product risks to leadership.
  • Create clear documentation and runbooks to reduce repeats.
  • Communicate with precision, professionalism, and empathy.

Skills

Debug web apps
Customer support
AI systems familiarity
Problem solving
Strong written English

Education

Degree in CS/SE or related field

Tools

React
Node
Flask
Next.js

Job description

Mercor is seeking a Talent Success specialist to ensure a delightful experience for users from application to offer and payment. You will work with engineering to triage bugs, reproduce issues, and understand SaaS behavior.

Role requires native-level English tone, strong writing skills, and collaboration with product teams. This remote position demands substantial overlap with Pacific Time and is open only to candidates in Latin America.

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