远程工作雷达

前移部署工程师(FDE),法律-NYC

Forward Deployed Engineer (FDE), Legal-NYC

开发工程职能支持未标注地域
公司Openai
薪资$185,000 - $300,000
工作地点New York City
地域资格未标注地域
时区要求无特别要求
用工类型FullTime
发布时间20 天前
数据来源Ashby
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关于团队

OpenAI的前向部署工程团队与客户合作,将研究突破转化为生产系统。我们深入用户中,解决高杠杆问题。我们从原型快速推进到部署,并提炼出影响平台的模式。我们在客户交付和核心开发的交汇点上工作。我们与产品、研究和市场进入(GTM)团队紧密合作。

关于职位

我们正在招聘一名前向部署工程师(FDE),为法律工作构建和部署AI系统。您将深入与客户合作——通常与高级法律从业者密切协作——确定正确的首个用例,快速构建解决方案,并证明可衡量的价值。早期合作可能集中在创建一个“英雄”流程,展示OpenAI模型如何支持法律分析、起草、研究或与复杂案件记录的实时工作。

您将负责从发现和概念验证到生产采用的技术工作,同时将客户的工作流程和限制转化为清晰的产品反馈。随着项目的发展,您将把成功的部署转化为可跨更大客户群和更广泛的法律市场扩展的可重复模式。

该职位位于旧金山或纽约市。我们采用每周三天在办公室的混合工作模式,并提供搬迁协助。可能需要最多50%的出差。

在此职位中,您将:

- 与律师事务所和法律团队合作,了解他们的工作流程,识别高价值机会,并选择合适的初始用例来证明价值。

- 构建全栈系统,为客户创造价值并提升我们的学习能力

- 与客户团队紧密合作,了解他们的需求,并指导所构建内容的采用

- 在范围、速度和质量之间做出权衡;调整计划以保障交付

- 在进展或清晰度取决于代码时直接参与编码

- 将工作模式转化为工具、指南或可被他人使用的构建模块

- 分享现场反馈,帮助研究和产品团队了解模型在哪些方面表现良好以及哪些方面可以改进

您如果具备以下条件,可能会在这个职位中表现出色:

- 拥有5年以上软件工程、机器学习工程或技术部署经验,具有金融服务业或相关受监管行业的客户面向职责。

- 具有法律科技、法律服务、合规密集型流程或专业法律工作的经验。

查看英文原文

ABOUT THE TEAM

OpenAI’s Forward Deployed Engineering team partners with customers to turn research breakthroughs into production systems. We embed deeply with users to solve high-leverage problems. We move quickly from prototype to deployment and surface patterns that shape the platform. We operate at the intersection of customer delivery and core development. We work closely with Product, Research, and Go-To-Market (GTM).

ABOUT THE ROLE

We are hiring a Forward Deployed Engineer (FDE) to build and deploy AI systems for legal work. You will embed deeply with customers—often working closely with senior legal practitioners—to identify the right first use case, rapidly prototype a solution, and prove measurable value. Early engagements may focus on creating a “hero” workflow that shows how OpenAI’s models can support legal analysis, drafting, research, or real-time work with complex case records.

You will own the technical work from discovery and proof of concept through production adoption, while translating customer workflows and constraints into clear product feedback. As the motion matures, you will turn successful deployments into repeatable patterns that can scale across larger accounts and the broader legal market.

This role is based in San Francisco or New York City. We use a hybrid work model of three days in the office per week and offer relocation assistance. Travel up to 50% may be required.

IN THIS ROLE, YOU WILL

- Embed with law firms and legal teams to understand their workflows, identify high-value opportunities, and select the right initial use cases to prove value.

- Build full-stack systems that deliver customer value and sharpen how we learn

- Embed closely with customer teams, understand their needs, and guide adoption of what you build

- Make trade-offs between scope, speed, and quality; adjust plans to protect delivery

- Contribute directly in the code when progress or clarity depends on it

- Codify working patterns into tools, playbooks, or building blocks that others can use

- Share field feedback that helps Research and Product understand where the models succeed and where they can improve

YOU MIGHT THRIVE IN THIS ROLE IF YOU

- Bring 5+ years of software engineering, ML engineering, or technical deployment experience with customer-facing ownership in financial services or adjacent regulated industries.

- Have experience with legal technology, legal services, compliance-heavy workflows, or professional services; this is helpful but not required.

- Have owned complex AI or data-driven systems end-to-end, from scoping through production adoption, in environments where errors carry real financial or regulatory consequences.

- Write and review production-grade code across backend and frontend systems using Python, JavaScript, or comparable stacks.

- Have deployed systems powered by LLMs or generative models and understand how model behavior, evaluation, and guardrails affect user trust and business outcomes.

- Communicate clearly across engineering, product, risk, compliance, and executive stakeholders, translating technical trade-offs into decision quality and risk posture.

- Apply systems thinking with high execution standards, turning incidents, escalations, and failures into improved operating standards and repeatable deployment patterns.

- Stay calm and decisive when delivery is urgent, ambiguous, and high-stakes.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.

For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf.

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.

To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form https://form.asana.com/?d=57018692298241&k=5MqR40fZd7jlxVUh5J-UeA. No response will be provided to inquiries unrelated to job posting compliance.

We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link https://form.asana.com/?k=bQ7w9h3iexRlicUdWRiwvg&d=57018692298241.

OpenAI Global Applicant Privacy Policy https://cdn.openai.com/policies/global-employee-and-contractor-privacy-policy.pdf

At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

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