Full Stack Software Engineer, ChatGPT Finances
- Compensation
- $347K–$385K / yr
- Location
- San Francisco
- Work setup
- Hybrid
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- Not specified
- Category
- Fullstack
- Posted
Skills
Nice to have
- 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.
Full description
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.