Remote LatAm AI SaaS Customer Success Engineer (Contract)

Mercor

Santiago

Remote

CLP 34,014,000 - 48,591,000

Part time

3 days ago
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Job summary

Mercor is seeking a Customer Success Engineer (LatAm) for a remote, contract role with substantial overlap with Pacific Time. You will debug web apps, support customers, and help optimize AI-enabled SaaS products.

You should have a CS/SE degree, 2–5 years in customer-facing web app support, and experience with React, Node, Flask, Next.js, and AI tooling. Strong communication and problem-solving are essential.

Qualifications

  • Ability to debug web applications.
  • Degree in Computer Science, Software Engineering, or related technical field from a top-tier institution or prior experience at a high-growth technology startup.
  • Experience building modern web applications (React, Node, Flask, Next.js, etc.).
  • 2–5 years of experience supporting customers on such web applications.
  • Comfortable with AI systems. Experience with LLMs, agents, or generative models.
  • Experience exploring behavior of AI tools (fine-tuning, prompt chains, chain-of-thought debugging, or building agents).
  • Ability to understand model outputs, failure modes, hallucinations, and feedback loops.

Responsibilities

  • Investigate talent-reported issues end-to-end. Reproduce bugs, identify root causes, and separate UX friction, model edge cases, and system defects.
  • Debug across our AI + SaaS stack using telemetry, logs, network inspection, and database queries to understand production behavior.
  • Triage with sound judgment. Escalate true engineering issues and resolve others via configuration, prompt refinement, or clear user guidance.
  • Surface systemic patterns and product risks to engineering and product leadership.
  • Create clear documentation and runbooks to reduce repeat issues and improve resolution speed.
  • Communicate with precision, professionalism, and empathy.

Skills

Debugging web apps
Web application troubleshooting
Strong communication
Problem-solving
Cross-functional collaboration
Technical writing
Understanding AI systems
Empathy and customer-facing skills

Education

Degree in Computer Science or Software Engineering

Tools

React
Node.js
Flask
Next.js
OpenAI API
LangChain

Job description

Mercor is seeking a Customer Success Engineer (LatAm) for a remote, contract role with substantial overlap with Pacific Time. You will debug web apps, support customers, and help optimize AI-enabled SaaS products.

You should have a CS/SE degree, 2–5 years in customer-facing web app support, and experience with React, Node, Flask, Next.js, and AI tooling. Strong communication and problem-solving are essential.

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