Customer Success Engineer – LatAm

Mercor

Customer Success Engineer debugging Mercor’s AI-powered talent platform for Latin American users. Investigating SaaS and AI issues while partnering with engineering to improve support.

Posted 8/25/2026full-timeRemote • 💃 Anywhere in Latin AmericaJuniorMid-Level💰 $35,000 - $50,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in debugging web applications and AI systems, with a strong ability to communicate effectively and empathetically. Proficient in creating documentation and improving user experience through systematic issue resolution.

Highest-signal resume keywords

Debugging Web ApplicationsExperience with ReactExperience with NodeFamiliarity with AI SystemsNative English-Level Writing Proficiency

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

DebuggingWeb Application DevelopmentAI Tool Behavior ExplorationModel Output UnderstandingDatabase QueryingConfiguration ManagementPrompt RefinementUser GuidanceTriage and EscalationSystem Defect Identification

Soft Skills

CommunicationProfessionalismEmpathy

Tools & Technologies

TelemetryLogsNetwork InspectionOpenAIAnthropicLangChainAutoGPT

Certifications & Qualifications

Degree in Computer ScienceDegree in Software Engineering

Industry Keywords

AI SystemsSaaSHigh-Growth Technology StartupUser ExperienceModel Edge Cases

Tech Stack

Tools & technologies

FlaskJavaScriptNext.jsNode.jsReact

About the role

Key responsibilities & impact

Ensure a delightful end-to-end experience for users applying to listings, taking AI-led interviews, accepting offers, and getting paid
Investigate talent-reported issues end-to-end by reproducing bugs, identifying root causes, and distinguishing UX friction, model edge cases, and system defects
Debug across the AI and SaaS stack using telemetry, logs, network inspection, and database queries
Triage issues, escalating genuine engineering problems and resolving others through configuration, prompt refinement, or user guidance
Surface systemic patterns and product risks to engineering and product leadership
Create documentation and runbooks to reduce repeat issues and improve resolution speed
Communicate with precision, professionalism, and empathy
Work directly with the engineering team

Requirements

What you’ll need

Currently residing in Latin America; applicants outside Latin America will not be considered
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 such as React, Node, Flask, or Next.js, or 2–5 years of experience supporting customers on such web applications
Comfort with AI systems, including LLMs, agents, or generative models
Experience exploring AI tool behavior, including fine-tuning, prompt chains, chain-of-thought debugging, or building agents
Ability to understand model outputs, failure modes, hallucinations, and feedback loops
Familiarity with modern AI APIs such as OpenAI and Anthropic, or agent frameworks such as LangChain and AutoGPT, is a plus
Native English-level writing proficiency
Availability for a 6-day-per-week role with substantial overlap with Pacific Time (PT/PST) working hours

Benefits

Comp & perks

Remote work arrangement
Referral bonus of up to $100 per successful referral
Reasonable accommodations upon request