Used Tools & Technologies
Not specified
Required Skills & Competences
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Security @ 3
Go @ 3
Kotlin @ 3
TypeScript @ 3
Python @ 3
Distributed Systems @ 3
React @ 3
Node.js @ 3
API @ 3
FinTech @ 3
Experimentation @ 2
Swift @ 3
ChatGPT @ 3
Observability @ 3
AI @ 3
Data Modeling @ 3
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
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. Work spans account connectivity, data ingestion, dashboards, personalized insights, and conversational experiences. The team collaborates across product, design, research, infrastructure, security, and data integrations. This is an early and ambitious product area; engineers will shape both first user experiences and durable systems required to earn and keep users' trust.
Responsibilities
- 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.
Requirements
- Experience building and shipping full-stack consumer products in production; comfortable working across frontend and backend.
- Familiarity with modern frontend stacks and building the APIs and services that power them.
- Strong product judgment with the ability to take a feature from idea to shipped, measurable outcome.
- Understanding of API design, data modeling, system reliability, and tradeoffs in evolving production systems.
- Care about performance, accessibility, and details that affect user experience.
- Ability to think about privacy, security, reliability, and user trust when working with sensitive financial data.
- Comfortable diagnosing problems across system boundaries and improving engineering foundations.
- Interest in AI-native interfaces and conversational ways to present complex personal information.
Preferred Qualifications
- Experience building backend services using languages and frameworks such as Python, Go, Node.js, or comparable technologies.
- Frontend development experience using React / TypeScript, or mobile experience with Swift or Kotlin.
- Experience operating consumer products or distributed systems at scale.
- Experience in fintech, personal finance, banking, payments, investing, or other sensitive-data domains.
- 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. The company emphasizes safety and human needs when creating AI systems and values diverse perspectives. OpenAI is an equal opportunity employer and provides reasonable accommodations to applicants with disabilities. Background checks are administered consistent with applicable law.
Benefits
- Medical, dental, and vision insurance with employer contributions to Health Savings Accounts.
- Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses.
- 401(k) retirement plan with employer match.
- Paid parental leave and paid medical and caregiver leave.
- Paid time off (flexible PTO for exempt employees; up to 15 days annually for non-exempt employees).
- 13+ paid company holidays and multiple office closures throughout the year; paid sick or safe time as required by local law.
- Mental health and wellness support.
- Employer-paid basic life and disability coverage.
- Annual learning and development stipend.
- Daily meals in offices and meal delivery credits as eligible.
- Relocation support for eligible employees.
- Additional taxable fringe benefits (e.g., charitable donation matching, wellness stipends).