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Customer Success Engineer (LatAm)

$35,000–$50,000/yr

Remote — US onlytechnology
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About this role

Role Overview

Help candidates resolve issues quickly and confidently throughout their experience with an AI-enabled hiring platform, from applications and AI-led interviews through offer acceptance and payment. You will investigate technical problems directly with the engineering team while providing clear, upbeat, precise support that often serves as a candidate''s first interaction with the organization.

Key Responsibilities

  • Respond promptly and thoughtfully to candidate questions and reported issues.
  • Investigate issues end to end by reproducing bugs, identifying root causes, and distinguishing UX friction, model edge cases, and system defects.
  • Debug an AI and SaaS stack using telemetry, logs, network inspection, and database queries to understand production behavior.
  • Use sound judgment to escalate genuine engineering issues and resolve others through configuration changes, prompt refinement, or clear user guidance.
  • Identify systemic patterns and product risks, then communicate them to engineering and product leadership.
  • Create documentation and runbooks that reduce recurring issues and improve resolution speed.
  • Communicate with professionalism, empathy, and precision in a lighthearted, informal support style.

Qualifications

  • Native-level English writing proficiency and an enthusiastic, upbeat communication style.
  • Ability to debug web applications, supported by a 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 such as React, Node, Flask, or Next.js, or 2 to 5 years of experience supporting customers using comparable web applications.
  • Comfort working with AI systems, including LLMs, agents, or generative models.
  • Experience exploring AI-tool behavior, such as fine-tuning, prompt chains, chain-of-thought debugging, or building agents.
  • Ability to interpret model outputs, failure modes, hallucinations, and feedback loops.
  • Familiarity with modern AI APIs, such as OpenAI or Anthropic, or agent frameworks, such as LangChain or AutoGPT, is a plus.

Work Terms

  • Remote, annual engagement.
  • Six-day workweek with substantial overlap with Pacific Time working hours.

Compensation

$35, 000 to $50, 000 per year.

Eligibility

Open only to candidates currently residing in Latin America. Applicants located outside Latin America will not be considered.

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