Full-Stack Software Engineer (ChatGPT Finances)

OpenAI

San Francisco, CA • 13m ago • Hybrid

Mid

Hybrid

347,000 - 385,000 USD/yr

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Potential salary for Full-Stack Software Engineer (ChatGPT Finances) role

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$347,000 – $385,000/year

Quick Facts

  • Role: Full-stack product engineer for ChatGPT Finances

Description

Build and scale ChatGPT Finances by owning full-stack features across the user experience, frontend implementation, backend services, data models, deployment, and observability. You will design secure APIs and resilient integrations for ingesting, normalizing, and serving sensitive financial data, and bring AI capabilities into grounded, transparent, and user-controlled conversational workflows.

Responsibilities

  • Own full-stack product features from frontend to backend services, data models, deployment, and observability
  • Build accessible, performant interfaces for account connection, dashboards, insights, and conversational workflows
  • Design APIs and backend systems to safely ingest and normalize financial data
  • Handle synchronization, data freshness, partial failures, permissions, and user consent in integrations
  • Bring AI capabilities into production with emphasis on grounding, accuracy, transparency, and user control
  • Establish architecture, performance standards, testing practices, and operational safeguards
  • Debug complex behavior across client, server, infrastructure, and external integrations
  • Improve outcomes using qualitative feedback, product metrics, and experiments

Requirements

  • Experience building and shipping full-stack consumer products in production
  • Comfortable working in a modern frontend stack and building the APIs and services behind it
  • Strong focus on product craftsmanship, performance, accessibility, and UX details
  • Understanding of API design, data modeling, system reliability, and tradeoffs
  • Ability to move effectively between frontend, backend, and product decisions
  • Strong product judgment and ability to ship measurable outcomes
  • Experience working in ambiguous, high-impact areas
  • Ability to consider privacy, security, reliability, and user trust with sensitive data

Benefits

  • Opportunity to shape a new, early product area with a substantial roadmap
  • Cross-functional collaboration with product, design, research, infrastructure, security, and data integration teams

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