Customer Success Engineer (LatAm)

What You'll Be Doing

• Investigate talent-reported issues end-to-end: reproduce bugs, identify root causes, and separate UX friction, model edge cases, and system defects.
• Debug across AI + SaaS systems 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.

What We Are Looking For

• 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.) OR experience supporting customers on such web applications.
• Comfortable with AI systems experience using 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.
• Familiarity with how modern AI APIs work (OpenAI, Anthropic, etc.) or how agent frameworks (LangChain, AutoGPT, etc.) function is a plus.