CollectWise (YC F24) 正在招聘
CollectWise (YC F24) Is Hiring

原始链接: https://www.ycombinator.com/companies/collectwise/jobs/tv3ufcc-forward-deployed-engineer

## CollectWise:AI驱动的债务催收 - 摘要 CollectWise是一家获得Y Combinator支持的初创公司,正在利用生成式AI革新350亿美元的债务催收市场。他们的AI代理的效率**是人工催收员的两倍,成本却显著降低**,推动了快速增长——在短短几个月内,仅用小团队就实现了100万美元的ARR。 他们目前正在寻找一名**前线部署工程师**,负责领导客户入职和集成,目标是扩展到1000万美元的ARR。这个职位融合了工程和运营,需要有人构建集成、配置AI代理,并将客户需求转化为技术解决方案。 理想的候选人应具备**Node.js、React.js、AWS、SQL和LLM(如GPT-5)**的经验,能够快速构建和发布产品,并具备良好的沟通能力。CollectWise提供具有竞争力的薪资(**15万美元-19万美元**)和可观的股权。

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原文

About Us

CollectWise is a fast growing and well funded Y Combinator-backed startup. We’re using generative AI to automate debt collection, a $35B market in the US alone. Our AI agents are already outperforming human collectors by 2X, and we’re doing so at a fraction of the cost.

With a team of three, we scaled to a $1 million annualized run rate in just a few months, and we are now hiring a forward deployed engineer to help us reach $10 million within the next year.

Role

We are hiring a Forward Deployed Engineer to lead customer implementations end-to-end. You’ll work at the intersection of engineering and operations, building the integrations and technical systems that bring clients into production.

This role blends software engineering with hands-on customer work. You’ll thrive here if you enjoy ambiguity, love shipping quickly, and can translate business requirements into robust, testable systems. This is a highly visible, high-ownership role working closely with the founder and clients.

Responsibilities

  • Build and maintain custom integrations with client systems.
  • Configure and productionize AI agents for each client (prompts, workflows, data transfers).
  • Develop and implement client solutions using modern back-end frameworks.
  • Translate vague customer requirements into clear technical specs and ship solutions quickly.
  • Build internal tools to make implementations faster and more repeatable.

Desired Qualifications

  • Experience with Node.js, React.js, AWS, SQL, and GPT-5 or other LLMs.
  • Experience building products in a production environment (your own startup, working at an early-stage startup, or a meaningful project from scratch).
  • Very strong communication skills and work ethic.
  • Experience or interest in voice AI.
  • Versatility across disciplines.

Compensation

  • Salary range: $150,000 to $190,000, based on relevant experience and qualifications.
  • Significant equity compensation.
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