Customer Success Engineer – Remote (LatAm)

About the role

Mercor is seeking a Customer Success Engineer to support its AI‑powered SaaS platform for Latin American customers. The role is fully remote and focuses on troubleshooting, guiding users, and feeding product insights back to engineering.

Key responsibilities

• Investigate and resolve talent‑reported issues end‑to‑end, reproducing bugs and identifying root causes.
• Debug across the AI + SaaS stack using telemetry, logs, network inspection, and database queries.
• Tri­age tickets, escalating genuine engineering problems while handling configuration or prompt‑related issues directly.
• Surface systemic patterns and product risks for engineering and product leadership.
• Create clear documentation and runbooks to reduce repeat incidents.
• Communicate solutions with precision, professionalism, and empathy.

Required profile

• Degree in Computer Science, Software Engineering, or equivalent experience at a high‑growth tech startup.
• 2–5 years of experience building or supporting modern web applications (React, Node, Flask, Next.js, etc.).
• Comfortable working with AI systems, large language models, and generative tools.
• Ability to understand model outputs, failure modes, hallucinations, and feedback loops.

Required skills

• Debugging of web applications.
• React, Node.js, Flask, Next.js.
• Experience with LLMs, OpenAI or Anthropic APIs.
• Familiarity with agent frameworks such as LangChain or AutoGPT.

What we offer

• Contract compensation between $35,000 and $50,000 USD per year.
• Fully remote work with flexible hours overlapping Pacific Time.
• Opportunity to work closely with cutting‑edge AI research labs.