Customer Success Engineer (Remote, LatAm)

About the role

Mercor is seeking a Customer Success Engineer to support talent users of its AI‑powered platform. The role is fully remote with a focus on the Latin American market and requires strong technical troubleshooting skills across web and AI systems.

Key responsibilities

• Investigate talent‑reported issues end‑to‑end, reproduce bugs, identify root causes, and differentiate UX friction from model edge cases and system defects.
• Debug across the AI + SaaS stack using telemetry, logs, network inspection, and database queries to understand production behavior.
• Triage issues with sound judgment, escalating true engineering problems while resolving others via configuration, prompt refinement, or clear user guidance.
• Surface systemic patterns and product risks to engineering and product leadership.
• Create documentation and runbooks to reduce repeat incidents and accelerate resolution.
• Communicate with precision, professionalism, and empathy.

Required profile

• Ability to debug web applications.
• Degree in Computer Science, Software Engineering, or related field from a top‑tier institution, or equivalent experience at a high‑growth tech startup.
• Experience building modern web applications (React, Node, Flask, Next.js, etc.) OR 2‑5 years supporting customers on such applications.
• Comfortable with AI systems, including LLMs, agents, and generative models.
• Experience exploring AI tool behavior (fine‑tuning, prompt chains, chain‑of‑thought debugging, building agents).
• Understanding of model outputs, failure modes, hallucinations, and feedback loops.
• Familiarity with modern AI APIs (OpenAI, Anthropic) or agent frameworks (LangChain, AutoGPT) is a plus.

Required skills

• React
• Node.js
• Flask
• Next.js
• SQL / database querying
• Telemetry and log analysis
• Network inspection
• OpenAI API
• Anthropic API
• LangChain
• AutoGPT

What we offer

• Competitive annual compensation $35,000–$50,000
• Fully remote work with flexible schedule overlapping Pacific Time
• Opportunity to work with cutting‑edge AI technologies and a fast‑growing startup