Tech Stack
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.
AI @ 3
API @ 3
ChatGPT @ 3
Data Modeling @ 3
Distributed Systems @ 3
Experimentation @ 2
FinTech @ 3
Go @ 3
Kotlin @ 3
Node.js @ 3
Observability @ 3
Payments @ 3
Python @ 3
React @ 3
Security @ 3
Swift @ 3
TypeScript @ 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. The work spans account connectivity, data ingestion, dashboards, personalized insights, and conversational experiences.
Responsibilities
- Own full-stack product features across user experience, frontend implementation, 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 AI capabilities into production with a focus on grounding, accuracy, transparency, and user control.
- Establish architecture, performance standards, testing practices, and operational safeguards for a 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 with product, design, research, infrastructure, security, and data integration teams to turn ambiguous product opportunities into reliable experiences.
Requirements
- Experience building and shipping full-stack consumer products in production.
- Comfort working in a modern frontend stack and building the APIs and services behind it.
- Strong product judgment and the ability to take a feature from a rough idea to a shipped, measurable outcome.
- Understanding of API design, data modeling, system reliability, and the tradeoffs involved in evolving production systems.
- Ability to work across frontend, backend, and product decisions.
- Care for product craftsmanship, performance, accessibility, privacy, security, reliability, and user trust.
- Experience building backend services using languages and frameworks such as Python, Go, Node.js, or comparable technologies.
- Experience with frontend development using React, TypeScript, Swift, or Kotlin.
- Experience operating consumer products or distributed systems at scale.
- Experience with fintech, personal finance, banking, payments, investing, or other sensitive-data domains is preferred.
- Familiarity with authentication, identity, permissions, privacy, and secure data flows.
- Experience building dashboards, data visualizations, or insight-oriented products is preferred.
- Familiarity with observability, experimentation, product metrics, and iterative development.
- Experience with applied AI, conversational interfaces, or systems incorporating model-generated output is preferred.
Benefits
- Base salary of $293,000–$325,000 per year, plus equity.
- Medical, dental, and vision insurance, with employer contributions to Health Savings Accounts.
- Pre-tax accounts for health, dependent care, and commuter expenses.
- 401(k) retirement plan with employer match.
- Paid parental, medical, and caregiver leave.
- Paid time off, company holidays, and paid office closures.
- Mental health and wellness support.
- Employer-paid basic life and disability coverage.
- Annual learning and development stipend.
- Daily office meals and eligible meal delivery credits.
- Relocation support for eligible employees.
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