Customer Success Engineer - Fully Remote

๐Ÿข mercor ยท all mercor jobs
๐Ÿ“ Peru
๐Ÿ’ฐ USD 35,000 - 50,000 / annual
๐Ÿ“… Posted 2026-08-13 ยท via Himalayas
๐Ÿท Customer-Success-Engineer,Technical-Customer-Support,AI-Customer-Success,SaaS-Support-Engineer,LATAM-Customer-Success,Senior-Customer-Success-Engineer,Technical-Customer-Success-Engineer,Cloud-Customer-Success-Engineer
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About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark , General Catalyst , Peter Thiel , Adam D'Angelo , Larry Summers , and Jack Dorsey . Position: Customer Success Engineer (LatAm) Type: Contract Compensation: $35,000โ€“$50,000/year Location: Remote Commitment: Substantial overlap with Pacific Time (PT/PST) Role Responsibilities - Investigate talent-reported issues end-to-end. Reproduce bugs, identify root causes, and separate UX friction, model edge cases, and system defects. - Debug across our AI + SaaS stack 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. Qualifications Must-Have - 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 2-5 years of experience supporting customers on such web applications. - Comfortable with AI systems . Experience with 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 modern AI APIs ( OpenAI , Anthropic , etc.) or how agent frameworks ( LangChain , AutoGPT , etc.) function is a plus. Application Process (Takes 20โ€“30 mins to complete) - Upload resume - AI interview based on your resume - Submit form Resources & Support - For details about the interview process and platform information, please check: - For any help or support, reach out to: PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity. Originally posted on Himalayas

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