客户成功工程师
Customer Success Engineer
关于职位
Mercor将顶尖的创意和技术人才与领先的AI研究实验室连接起来。公司总部位于旧金山，我们的投资人包括Benchmark、General Catalyst、Peter Thiel、Adam D'Angelo、Larry Summers和Jack Dorsey。
职位：客户成功工程师（拉美地区）
类型：合同制
薪资：35,000–50,000美元/年
地点：远程办公
要求：与太平洋时间（PT/PST）有大量重叠时间
岗位职责
- 全流程调查人才报告的问题。复现错误，识别根本原因，区分用户体验摩擦、模型边缘情况和系统缺陷。
- 使用遥测数据、日志、网络检查和数据库查询，对我们的AI + SaaS架构进行调试，以理解生产环境行为。
- 通过合理的判断进行优先级排序。将真正的工程问题升级处理，其他问题通过配置、提示优化或清晰的用户指导解决。
- 向工程和产品领导层揭示系统性模式和产品风险。
- 创建清晰的文档和操作手册，减少重复问题并提高解决速度。
- 以精准、专业和同理心的方式进行沟通。
任职要求
必备条件
- 能够调试Web应用。
- 来自顶尖院校的计算机科学、软件工程或相关技术领域的学位，或在高增长科技初创公司有相关经验。
- 有构建现代Web应用的经验（React、Node、Flask、Next.js等）或在类似Web应用上支持客户2-5年的经验。
- 对AI系统感到舒适。有LLMs、代理或生成模型的经验。
- 有探索AI工具行为的经验（微调、提示链、思维链调试，或构建代理）。
- 能够理解模型输出、故障模式、幻觉和反馈循环。
- 熟悉现代AI API（OpenAI、Anthropic等）或了解代理框架（LangChain、AutoGPT等）是加分项。
申请流程（需要20-30分钟完成）
- 上传简历
- 基于简历的AI面试
- 提交表单
资源与支持
- 有关面试流程和平台信息的详细内容，请查看：
- 如有任何帮助或支持需求，请联系：
注意：我们的团队每天都会审核申请。请完成AI面试和申请步骤，以考虑此次机会。
最初发布于Himalayas
查看英文原文
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