Customer Success Engineer - AI SaaS

Mercor

Bogotá ciudad

A distancia

COP 115.527.000 - 165.038.000

Jornada completa

14 días+
Generador de candidaturas

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Descripción de la vacante

Mercor is seeking a Customer Success Engineer (LatAm) for a remote contract role. You will support clients across the Latin American region, collaborate with product and engineering teams, and help customers maximize value from our AI-enabled SaaS platform.

The ideal candidate has web-app debugging experience, a CS/SE degree, and 2–5 years of customer-facing work. Proficiency with React, Node, Flask or Next.js, plus familiarity with AI systems and tools, is required to ensure effective issue

Formación

  • Degree in Computer Science, Software Engineering or related field.
  • 2–5 years of experience supporting customers on web applications.
  • Experience building modern web applications (React, Node, Flask, Next.js).
  • Comfortable with AI systems and tools (LLMs, agents, generative models).
  • Ability to understand model outputs, failure modes, and feedback loops.

Responsabilidades

  • Investigate talent-reported issues end-to end; reproduce bugs, identify root causes, and separate UX friction 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.

Conocimientos

Debugging web apps
Customer support
Communication
AI outputs analysis

Educación

Degree in Computer Science or Software Engineering

Herramientas

React
Node.js
Flask
Next.js
AI APIs

Descripción del empleo

About the job

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.

Position: Customer Success Engineer (LatAm)
Type: Contract
Compensation: $35,000–$50,000
Location: Remote
Commitment: Substantial overlap with Pacific Time (PT/PST)

Role Responsibilities
  • Investigate talent-reported issues end-to-e nd. 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.
Qualifications
Must-Have
  • Ability to debug web applications.
  • Degree in Computer Science, Software Engineering or a 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.
Preferred
  • Familiarity with how modern AI APIs work (OpenAI, Anthropic, etc.) or how agent frameworks (LangChain, AutoGPT, etc.) function.
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