OpenAI - Software Engineer, Codex Ecosystem & Enterprise

• Ship fundamental capabilities including analytics dashboards and APIs, compliance and audit surfaces, workspace RBAC and admin controls, managed configuration and constraints, and rate limits, usage, and pricing primitives for teams. • Design and build robust, full-stack services and APIs that power Codex across surfaces (web/app, CLI/local, IDEs, CI/CD) with strong observability, reliability, and security. • Enable standardized team deployments by building team configuration packaging and distribution patterns that make it easy to roll out consistent experiences across workspaces. • Integrate with enterprise identity and governance systems (e.g., SSO/SAML/OIDC, SCIM, RBAC, policy enforcement), and build data-access patterns that are secure, performant, and compliant for large customers. • Partner with GTM to work hands-on with teams through deep engagements to accelerate adoption, iterate rapidly, and translate real-world feedback into scalable product and platform improvements. • Have strong software engineering fundamentals and experience turning ideas into productionized systems, thinking holistically about speed, performance, and user experience. • Are proficient in one or more backend languages (e.g., Python, Go, Rust) and distributed systems concepts, with a focus on reliability, observability, and security. • Enjoy building cross-cutting platform capabilities that unlock product velocity, and you’re comfortable working across services, APIs, and end-user product surfaces. • Have experience with team/enterprise foundations such as identity and access (SAML/OIDC), SCIM, RBAC, audit/compliance logging, policy enforcement, and data governance controls. • Have built developer tools and workflows (CLI/IDE/SDK), automation systems (triggers/scheduling), or integration platforms that connect products to a broader ecosystem of tools. • Like working directly with users/customers (or alongside GTM/solutions teams), and can translate messy, diverse requirements into opinionated implementations that scale across many teams. • Enjoy 0 -> 1 environments, can navigate ambiguity, and bring crisp product thinking to technical trade-offs.