Jobs at OpenAI

As an AI Deployment Engineer, you will work with startups to optimize AI systems, prototype solutions, and improve model behavior while collaborating closely with product and research teams.

The AI Deployment Manager leads customer enablement for OpenAI products, delivering training, workshops, and adoption strategies to enhance product utilization and business value. Responsibilities include designing engagements, supporting user adoption, and collaborating with sales and product teams.

Build and ship polished, high-performance UI for the Codex desktop app and IDE extension. Partner with design to prototype and productionize interfaces for human↔agent workflows, own frontend architecture, improve reliability via testing and instrumentation, and integrate platform/model/backend capabilities.

Build end-to-end features for a TypeScript/Node/Electron desktop app and IDE extension. Design integrations with Rust services and the Codex CLI, own IPC architecture, implement orchestration for long-running tasks, and improve observability, reliability, and performance while partnering with product and design.

Design and build distributed systems for large-scale AI training, focusing on performance, stability, monitoring, and debugging of infrastructure.

The AI Deployment Engineer will guide enterprise customers in deploying Generative AI applications, ensuring business value realization and managing project lifecycles from prototyping to production.

Develop and optimize large-scale compute systems for AI workloads, improving infrastructure reliability and performance across various layers of the stack.

Develop software for Codex focusing on enterprise solutions, building APIs, integrating with identity systems, and collaborating with teams to ensure quality.

Manage a team of AI Deployment Engineers to drive Codex adoption across clients, ensuring effective AI-enhanced development workflows and scalable solutions.

Own measurement and quantitative analysis for severe actor- and network-level harms. Develop AI-first prevalence measurement methods, build production safety metrics and dashboards, optimize LLM prompts for measurement, run analyses to inform detection/enforcement, support cross-team policy and reporting, and develop automation to scale measurement.

Design and maintain scalable systems, collaborate with cross-functional teams, and enhance internal tooling while focusing on reliability and performance in infrastructure.

Lead the ChatGPT Infra team, managing engineers focused on infrastructure availability, scalability, and performance, while fostering a strong culture and collaborating globally.

The role involves leading and growing a team focused on delivering production systems, influencing deployments, and enhancing team performance under pressure, while collaborating across Product, Research, and Sales.

The VC Partnerships Manager will manage relationships with venture capital funds and startups, develop strategies to drive AI adoption, provide technical guidance, represent OpenAI at events, and analyze metrics to support growth in the startup ecosystem.

The Executive Recruiter will lead executive searches in EMEA and APAC, collaborate with hiring leaders, and assess candidates, ensuring a high-quality experience throughout the recruitment process.

The role involves developing distributed systems software in Rust and Python, optimizing performance, reliability, and overseeing large-scale machine learning workloads.

The role focuses on driving advertising revenue by managing the full sales cycle, developing commercial partnerships, and collaborating across teams to ensure advertiser success.

The AI Deployment Engineer partners with customers to integrate OpenAI's coding tools into their development workflows, focusing on prototyping and scalable solutions while providing technical guidance and training.

Manage relationships with advertising partners, guide onboarding, analyze campaign performance, and drive product adoption to grow OpenAI's advertising ecosystem.

The role involves building infrastructure for AI agent execution environments, ensuring system reliability and optimizing performance at scale.