Customer Success Engineer - Fully Remote
# Customer Success Engineer - Fully Remote **mercor** · Uruguay · `Remote` · `Contractor` 💼 **Уровень роли:** `Mid-level` 💰 **Компенсация:** `$35,000 – $50,000` 🕒 **Статус:** *Опубликовано: сегодня* · *Источник: Himalayas (JSON API)* --- ### Top Skills & Match 🎯 **Ключевой стек роли:** `[Customer-Success-Engineering]` `[Technical-Support]` `[AI-ML-Engineer]` `[Customer-Success-Manager]` `[Solutions-Engineering]` `[Remote-Customer-Success-Engineer]` `[Customer-Success-Engineer]` `[Technical-Customer-Success-Engineer]` `[Cloud-Customer-Success-Engineer]` --- ### About the Role 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: $35,000–$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 20–30 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
- Customer-Success-Engineering
- Technical-Support
- AI-ML-Engineer
- Customer-Success-Manager
- Solutions-Engineering
- Remote-Customer-Success-Engineer
- Customer-Success-Engineer
- Technical-Customer-Success-Engineer
- Cloud-Customer-Success-Engineer
Наблюдалась 2026-10-03, впервые 2026-10-03, источник — Himalayas (JSON API).