软件工程师, 企业垂直领域
Software Engineer, Enterprise Verticals
关于团队
Enterprise Verticals 为高价值企业工作流程构建特定角色的 ChatGPT Work 体验。我们结合产品工程、插件和技能、连接器、数据、评估和客户证据，将有用的演示转化为可靠的日常任务。
此职位位于 Enterprise Verticals 内部的 Technology 垂直领域。该团队专注于技术公司的人员可重复的工作流程，从数据和分析、销售和设计等功能开始，并在这些体验中实现共享平台需求——工具集成、权限、质量测量和安全发布。
我们与 Design、Research、GTM、Security 和平台团队以及客户和设计合作伙伴紧密合作。成功意味着人们可以得到可信的第一结果，理解系统做了什么，并继续使用该工作流程——而不仅仅是一个原型存在。
关于职位
我们正在寻找一位全栈产品工程师，能够端到端地负责模糊的企业工作流程：理解客户问题，塑造产品，构建前端和后端，处理平台依赖项，制定质量标准，并与设计合作伙伴快速学习。
你将在 ChatGPT Work 的各种界面、服务、插件、连接器以及数据或权限边界中进行开发，当体验需要时。你将通过评估、产品和运营信号以及清晰的回退或回滚路径，使质量和发布过程可见。
这是一个产品工程职位，适合能够在用户问题和系统细节之间自由切换且不失去任何一方主导权的人。最优秀的候选人能够将具体的客户证据转化为可推广的产品，解释范围和架构权衡，并将一个功能从早期原型推进到有限的生产发布。
在这个职位中，你将：
- 在 ChatGPT Work 的各种界面、服务、插件和连接器上构建并交付特定角色的工作流程。
- 将客户和设计合作伙伴的证据转化为明确的产品决策、里程碑和可衡量的质量门槛，而不过度针对单一客户。
- 与 Design、Research、GTM、Security 和平台团队合作。
- 创建稳健的评估、可观测性和回滚路径。
- 主导从原型到有限发布和迭代的完整流程。
- 当工作流程依赖连接器、权限等时，与共享平台团队定义明确的合同和回退路径。
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ABOUT THE TEAM
Enterprise Verticals builds role-specific ChatGPT Work experiences for high-value enterprise workflows. We combine product engineering, plugins and skills, connectors, data, evaluations, and customer evidence to turn useful demos into reliable daily work.
This opening sits within the Technology vertical inside Enterprise Verticals. The group focuses on repeatable workflows for people at technology companies, beginning with functions such as data and analytics, sales, and design, and carries the shared platform needs—tool integration, permissions, quality measurement, and safe rollout—across those experiences.
We work closely with Design, Research, GTM, Security, and platform teams, as well as with customers and design partners. Success means that people can reach a trustworthy first result, understand what the system did, and keep using the workflow—not merely that a prototype exists.
ABOUT THE ROLE
We are looking for a full-stack product engineer who can own ambiguous enterprise workflows end to end: understand a customer problem, shape the product, build across frontend and backend, work through platform dependencies, instrument quality, and learn quickly with design partners.
You will build across ChatGPT Work surfaces, services, plugins, connectors, and data or permission boundaries when the experience requires it. You will make quality and rollout observable through evaluations, product and operational signals, and clear fallback or rollback paths.
This is a product-engineering role for someone who can move between user problems and system details without losing ownership of either. The strongest candidates will be able to turn specific customer evidence into a generalizable product, explain scope and architecture tradeoffs, and carry a feature from an early prototype through a bounded production rollout.
IN THIS ROLE, YOU WILL:
- Build and ship role-specific workflows across ChatGPT Work surfaces, services, plugins, and connectors.
- Turn customer and design-partner evidence into clear product decisions, milestones, and measurable quality gates without overfitting to a single customer.
- Partner with Design, Research, GTM, Security, and platform teams.
- Create robust evaluations, observability, and rollback paths.
- Own the full loop from prototype through bounded rollout and iteration.
- Define explicit contracts and fallback paths with shared platform teams when a workflow depends on connectors, permissions, model routing, or other cross-team systems.
YOU MIGHT THRIVE IN THIS ROLE IF:
- You are a strong product engineer with excellent product judgment.
- You are comfortable moving across frontend, backend, APIs, data, and systems integration.
- You communicate clearly with customers and cross-functional partners.
- You use evidence and tests to make ambiguous work observable.
- You care about enterprise permissions, reliability, privacy, and rollout safety.
- You have shipped a user-facing product through ambiguity and can explain the decisions, tradeoffs, and evidence behind it.
- You can translate a concrete customer workflow into a general product without losing the details that make the first experience useful.
PREFERRED QUALIFICATIONS:
- Experience building and operating full-stack production products across a modern frontend stack (such as React/TypeScript) and backend services (such as Python, Go, Node.js, or comparable technologies).
- Experience designing evolvable APIs, data models, and distributed or integration-heavy systems, including authentication, identity, permissions, secure data flows, and partial-failure behavior.
- Experience owning production systems at scale, including observability, performance, testing, incident response, safe migrations, staged rollout, and rollback.
- Experience building applied-AI or conversational products and evaluating probabilistic behavior with grounding, quality signals, and human-feedback loops.
- Experience building dashboards, data visualizations, or workflow and insight products that make complex information understandable and actionable.
- Familiarity with experimentation, product metrics, and iterative development, including instrumenting user outcomes from first use through retained usage.
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.
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