前移部署工程实习生
Forward Deployed Engineering Intern
职位地点：远程（美国）
工作模式：远程
行业：AI招聘和人才市场（B2B SaaS）
薪资：每小时20-35美元
公司简介
TalentPluto是一家获得Y Combinator投资的初创公司，正在为高增长公司构建招聘工具链。我们运营两个相互关联的产品：一个人才网络，将工程、市场推广和运营人员安置在快速发展的初创公司中；以及一个AI招聘工具，允许招聘团队直接通过他们的助手进行候选人搜索、分层丰富、基于评分表的评分和外向营销活动。我们与多个AI、开发者工具、金融科技和医疗健康领域的风险投资支持的初创公司合作。团队规模小，由创始人领导，实习生参与实际问题，而不是练习问题。
职位机会
这是一个向前部署的工程实习岗位：直接针对实际工作流程问题，而不是待办事项列表。你将与实际使用我们产品的人员密切合作，包括客户和我们自己的内部操作人员，发现工作流程中的问题所在，并构建脚本、集成和内部工具来解决这些问题。在这里，一个好的周可能意味着调试为什么一个丰富流程返回了错误的人，将两个本不应通信的系统进行集成，然后向非技术人员解释发生了什么以及原因。
这个职位适合喜欢工程实用一面的人：今天交付一个小的解决方案以消除真正的瓶颈，而不是下个季度才实现完美的抽象。你需要能够接受不确定性，因为问题通常在你开始调查之前并不明确。
职责
- 构建和维护解决真实运营瓶颈的内部工具、脚本和自动化流程。
- 与API、数据管道和系统间集成合作，包括在它们出现故障时进行调试。
- 与用户、客户和内部操作人员一起，找到工作流程实际出错的地方，然后解决根本原因。
- 调查数据质量问题并追溯其来源。
- 向非技术人员清晰地解释技术决策和权衡。
要求
- 在JavaScript、TypeScript、Python或类似语言中有扎实的编程基础。
- 熟悉API、数据、脚本和技术调试。
- 有良好的沟通能力，包括向非工程师清晰地解释技术概念的能力。
- 对客户面对面交流有真正的兴趣
查看英文原文
Location: Remote (United States)
Work Model: Remote
Industry: AI recruiting and talent marketplace (B2B SaaS)
Compensation: $20–$35 per hour
About the Company
TalentPluto is a Y Combinator-backed startup building the hiring stack for high-growth companies. We run two connected products: a talent network that places engineering, go-to-market, and operations people into fast-moving startups, and an AI recruiting tool that lets a hiring team run candidate search, tiered enrichment, rubric-based scoring, and outbound campaigns directly from their assistant. We work with dozens of venture-backed startups across AI, developer tools, fintech, and healthcare. The team is small and founder-led, and interns work on live problems rather than practice ones.
The Opportunity
This is a forward deployed engineering internship: engineering pointed directly at real workflow problems rather than at a backlog. You will sit close to the people who actually use our product, including customers and our own internal operators, find where the work breaks down, and build the scripts, integrations, and internal tools that fix it. A good week here might mean debugging why an enrichment pipeline is returning the wrong person, wiring an integration between two systems that were never meant to talk, and then explaining to a non-technical operator what changed and why.
The role suits someone who likes the practical half of engineering: shipping something small that removes a real bottleneck today, rather than a perfect abstraction that lands next quarter. You will need to be comfortable with ambiguity, because the problem is often not defined before you go looking at it.
Responsibilities
- Build and maintain internal tools, scripts, and automations that solve real operational bottlenecks.
- Work with APIs, data pipelines, and integrations between systems, including debugging them when they misbehave.
- Sit with users, customers, and internal operators to find where workflows actually break, then fix the underlying cause.
- Investigate data quality problems and trace them back to their source.
- Explain technical decisions and tradeoffs clearly to non-technical teammates.
Requirements
- Strong coding fundamentals in JavaScript, TypeScript, Python, or a similar language.
- Comfort working with APIs, data, scripts, and technical debugging.
- Strong communication skills, including the ability to explain technical concepts clearly to non-engineers.
- Genuine interest in customer-facing or operations-facing engineering work.
- Resourceful and practical, comfortable solving ambiguous problems without a fully specified brief.
- Self-directed and comfortable working in a remote startup environment.
Originally posted on Himalayas