Software Engineer, Codex Cloud Apps

📋 Description

• • Design and build end-to-end agentic product experiences across web, desktop, mobile, APIs, and integrations.
• • Work directly with customers to understand how individuals and organizations adopt AI agents, and translate those insights into product direction.
• • Build products such as AI-powered code review, application generation, workflow automation, and future agentic experiences.
• • Partner closely with research teams to transform new model capabilities into usable, reliable customer-facing features.
• • Design enterprise-ready capabilities including identity, governance, permissions, compliance, auditability, and analytics.
• • Prototype quickly, ship frequently, and use product telemetry and customer feedback to guide iteration.
• • Help define entirely new interaction patterns between humans and AI agents to accomplish tasks together.
• • Build cloud-native agentic products that reimagine how software is created, reviewed, deployed, and operated.
• • Own end-user experiences such as ChatGPT Sites, Code Review, and future agentic automation products used by millions of users and enterprises worldwide.
• • Work at the intersection of product, engineering, design, and research to discover new workflows enabled by AI agents.
• • Ship production products rapidly and continuously improve how people use agents in the cloud.
• • Collaborate across frontend, backend, APIs, data models, and product design to deliver integrated AI-native software.
• • Develop developer tools, SaaS products, workflow systems, collaboration tools, or AI-powered applications.
• • Implement enterprise software concepts including identity, permissions, governance, compliance, and third-party integrations.
• • Operate in fast-moving 0→1 environments where defining new categories of software is central to the role.
• • Translate ambiguous ideas into successful, shipped products with strong product instincts.
• • Leverage modern AI-assisted development workflows and agentic software systems in product development.
• • Ensure all products meet enterprise standards for security, auditability, and data governance.
• • Use real-world usage data and customer feedback to drive continuous product refinement.
• • Contribute to building AI-native software products that enable users to collaborate with AI agents and automate complex workflows.