3 months ago
Base Salary
$293k - $325k/yr
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 handling synchronization, data freshness, partial failures, permissions, and user consent.
- Bring new AI capabilities into production with grounding, accuracy, transparency, and user control.
- Establish architecture, performance standards, testing practices, and operational safeguards.
- Debug and improve behavior across client, server, infrastructure, and external integrations.
- Use qualitative feedback, product metrics, and experiments to improve user outcomes.
- Collaborate across product, design, research, infrastructure, security, and data integration teams to deliver reliable experiences.
Requirements
- Experience building and shipping full-stack consumer products in production.
- Comfort with modern frontend development and the APIs and services behind it.
- Understanding of API design, data modeling, system reliability, and production-system tradeoffs.
- Ability to work across frontend, backend, and product decisions and take features from idea to measurable outcome.
- Strong attention to product craftsmanship, performance, accessibility, privacy, security, reliability, and user trust.
- Backend service experience with Python, Go, Node.js, or comparable technologies.
- Frontend development experience with React, TypeScript, Swift, or Kotlin.
- Experience operating consumer products or distributed systems at scale.
- Experience in fintech, personal finance, banking, payments, investing, or sensitive-data domains.
- Familiarity with authentication, identity, permissions, privacy, secure data flows, observability, experimentation, and product metrics.
- Experience building dashboards, data visualizations, or insight-oriented products.
- Experience with applied AI, conversational interfaces, or systems incorporating model-generated output.
Categories
About OpenAI
OpenAI builds and deploys large-scale AI models and tools—including ChatGPT, GPT-4–class models, DALL·E, and Whisper—sold via APIs and enterprise subscriptions to developers and businesses. It monetizes through usage-based API pricing and ChatGPT Plus/Team/Enterprise, and also reaches customers via Microsoft’s Azure OpenAI Service. Founded in 2015 and headquartered in San Francisco, it operates as a private partnership.