OpenAI
Technology
FullStackEngineer,ChatGPTFinances
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Full Stack Engineer, ChatGPT Finances at OpenAI”
Industry & Context.
Full Job Description
ABOUT THE TEAM 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 whi
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