全栈软件工程师，ChatGPT财务
Full Stack Software Engineer, ChatGPT Finances
ChatGPT Finances 团队构建体验，帮助人们连接他们的财务账户、了解自己的财务状况，并通过 ChatGPT 提出有用的财务问题。
我们的工作涵盖账户连接、数据摄入、仪表盘、个性化洞察和对话式体验。我们与产品、设计、研究、基础设施、安全和数据集成团队协作，使复杂的财务信息变得易于理解并可操作。
这是一个早期且具有雄心的产品领域，有庞大的路线图。我们正在寻找希望塑造首批用户体验以及建立赢得和保持用户信任的持久系统的技术人员。
职位简介
我们正在寻找全栈产品工程师来构建和扩展 ChatGPT Finances。你将负责整个技术栈的功能——从精美的前端体验到支撑它们的 API、服务和数据模型。
这个职位适合那些兼具强大产品判断力和广泛技术深度的工程师。你应该关注用户能多快理解自己的财务状况，数据在系统中流动的可靠性，以及 AI 如何以立足实际、透明且有用的方式回答财务问题。
你将与产品、设计、研究、基础设施、安全和数据集成团队紧密合作，将想法从早期原型转化为可靠的生产体验。
在这个职位中，你将：
- 从用户体验和前端实现到后端服务、数据模型、部署和可观测性，负责完整的全栈产品功能。
- 构建精美的、可访问的、高性能的界面，用于账户连接、仪表盘、洞察和对话流程。
- 设计安全地摄入、标准化并提供财务数据的 API 和后端系统。
- 构建能够处理同步、数据新鲜度、部分失败、权限和用户授权的稳健集成。
- 将新的 AI 能力投入生产，同时优先考虑立足实际、准确性、透明度和用户控制。
- 为快速增长的产品领域建立架构、性能标准、测试实践和运营保障。
- 调试并改进客户端、服务器、基础设施和外部集成中的复杂行为。
- 使用定性反馈、产品指标和实验来提升用户成果，而不损害清晰度或信任。
- 跨学科协作，将模糊的产品需求转化为具体实现。
查看英文原文
The ChatGPT Finances team builds experiences that help people connect their financial accounts, understand their financial picture, and ask useful questions about their finances through ChatGPT.
Our work spans account connectivity, data ingestion, dashboards, personalized insights, and conversational experiences. We collaborate across product, design, research, infrastructure, security, and data integrations to make complex financial information understandable and actionable.
This is an early and ambitious product area with a substantial roadmap. We are looking for engineers who want to shape both the first user experiences and the durable systems required to earn and keep users’ trust.
ABOUT THE ROLE
We’re looking for full-stack product engineers to build and scale ChatGPT Finances. You will own features across the stack—from polished frontend experiences to the APIs, services, and data models that power them.
This role is well suited to engineers who combine strong product judgment with broad technical depth. You should care about how quickly users can understand their financial lives, how reliably data moves through the system, and how AI can answer financial questions in a grounded, transparent, and useful way.
You will work closely with product, design, research, infrastructure, security, and data integration teams to take ideas from early prototypes to reliable production experiences.
IN THIS ROLE, YOU WILL
- Own full-stack product features from user experience and frontend implementation through backend services, data models, deployment, and observability.
- Build polished, accessible, and performant interfaces for account connection, dashboards, insights, and conversational workflows.
- Design APIs and backend systems that safely ingest, normalize, and serve financial data.
- Build resilient integrations that handle synchronization, data freshness, partial failures, permissions, and user consent.
- Bring new AI capabilities into production while prioritizing grounding, accuracy, transparency, and user control.
- Establish architecture, performance standards, testing practices, and operational safeguards for a fast-growing product area.
- Debug and improve complex behavior across client, server, infrastructure, and external integrations.
- Use qualitative feedback, product metrics, and experiments to improve user outcomes without compromising clarity or trust.
- Collaborate across disciplines to turn ambiguous product opportunities into simple, reliable experiences.
YOU MIGHT THRIVE IN THIS ROLE IF YOU
- Have experience building and shipping full-stack consumer products in production.
- Are comfortable working in a modern frontend stack and building the APIs and services behind it.
- Care deeply about product craftsmanship, performance, accessibility, and details that affect the user experience.
- Understand API design, data modeling, system reliability, and the tradeoffs involved in evolving production systems.
- Can move effectively between frontend, backend, and product decisions rather than remaining in a narrow implementation area.
- Have strong product judgment and can take a feature from a rough idea to a shipped, measurable outcome.
- Work well in ambiguous, high-impact areas where the product and technical architecture are still taking shape.
- Think carefully about privacy, security, reliability, and user trust when working with sensitive data.
- Enjoy diagnosing problems across system boundaries and improving the underlying engineering foundations.
- Are interested in AI-native interfaces and new ways to make complex personal information easier to understand.
PREFERRED QUALIFICATIONS
- Experience building backend services using languages and frameworks such as Python, Go, Node.js, or comparable technologies.
- Experience with frontend development using React / Typescript, or Swift or Kotlin.
- Experience operating consumer products or distributed systems at scale.
- Experience with fintech, personal finance, banking, payments, investing, or sensitive-data domain.
- Familiarity with authentication, identity, permissions, privacy, and secure data flows.
- Experience building dashboards, data visualizations, or insight-oriented products.
- Familiarity with observability, experimentation, product metrics, and iterative development.
- Experience with applied AI, conversational interfaces, or systems that incorporate model-generated output.
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.
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