Strategic Overview
Full Stack Software Engineer, ChatGPT Finances at OpenAI is a dev opportunity centered on the specialist responsibilities and outcomes described in the employer's listing.
The published role emphasizes work such as 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…
The role is listed for San Francisco with hybrid working arrangement, giving candidates the practical context needed to assess fit before applying. Relevant signals in the listing include Applied AI, Applied AI Engineering.
Key information at a glance
About This Role
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.
Key Responsibilities & Objectives
- 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.
Required Qualifications & Candidate Blueprint
- 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.
Salary & Benefits
Published compensation: $347K – $385K
Salary Benchmark
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Benchmark uses active employer job postings in our database and excludes this listing. It is not a third-party salary estimate, and currencies are not converted.
Full Job Description
The following is the complete job description supplied by the source. We sanitize unsafe markup and remove external links, but do not shorten or rewrite the employer's source content.
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.
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.
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. 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.
OpenAI Global Applicant Privacy Policy
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.
Editor’s Market Perspective (Our Custom Analysis)
Why This Position Matters
This dev opening is a useful opportunity for candidates whose experience matches Applied AI, Applied AI Engineering. Its strongest career signal is the scope of the work itself — particularly Own full-stack product features from user experience and frontend implementation through backend services, data models, deployment, and observability. — rather than a generic title alone.
Resume & Application Strategy
For the application, mirror the employer's language where it truthfully matches your background: foreground Applied AI, Applied AI Engineering, quantify outcomes from comparable work, and place the most relevant experience near the top of the resume. If the listing specifies tools, platforms, leadership scope, or domain experience, use those exact terms in context instead of presenting an unrelated keyword list.
We organize source-provided information into this independent job-seeker overview. Compensation is shown only when the source provides it; the official listing remains the authority for current requirements and application instructions.