Full Stack Engineer, ChatGPT Finances

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 in a modern frontend stack and building the APIs and services behind it.
• Care deeply about product craftsmanship, performance, accessibility, and details that affect the user experience.
• Understand API design, data modeling, system reliability, and the tradeoffs involved in evolving production systems.
• Can move effectively between frontend, backend, and product decisions rather than remaining in a narrow implementation area.
• Have strong product judgment and can take a feature from a rough idea to a shipped, measurable outcome.
• Work well in ambiguous, high-impact areas where the product and technical architecture are still taking shape.
• Think carefully about privacy, security, reliability, and user trust when working with sensitive data.
• Enjoy diagnosing problems across system boundaries and improving the underlying engineering foundations.
• Interested in AI-native interfaces and new ways to make complex personal information easier to understand.

Preferred Qualifications

• 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.