Jobs at OpenAI

Design and build scalable systems for launch readiness and feedback capture. Coordinate product launches across internal and third-party teams, create feedback loops to inform product and engineering, monitor post-launch performance, document standardized procedures, identify rollout risks and propose mitigations, and report actionable insights to drive product improvements.

Leads finance for large-scale data center development, evaluating investments, building project models, forecasting capital needs, managing construction budgets, establishing financial controls, and assessing financing structures. Partners with infrastructure, energy, construction, procurement, treasury, tax, legal, and operations teams to manage project economics, risks, funding, and portfolio performance. Prepares investment recommendations for senior leadership and builds high-performing finance teams.

Lead the global Dedicated Support Engineering function by defining its strategy, building the organization, establishing enterprise customer engagement and technical ownership standards, leading critical escalations, improving reliability, and using AI and automation to scale proactive support. Partner with executives, customers, Product, Engineering, Sales, and Technical Success to drive measurable improvements in investigation quality, mitigation speed, customer confidence, and operational risk reduction.

Lead cross-functional technical programs for ChatGPT multimodal products, spanning production-signal mining, model evaluations, data pipelines, research-to-production parity, inference, GPU capacity planning, multilingual data collection, and voice and image-generation launches. Establish operating mechanisms, metrics, ownership, and decision processes while coordinating research, engineering, product, Human Data, safety, vendors, and external partners.

Lead commercial legal support for OpenAI's business transactions, negotiating agreements, providing legal advice, and monitoring compliance with regulations.

Build and operate Kubernetes-based controllers, distributed services, APIs, and provisioning systems for OpenAI’s global GPU compute infrastructure. Manage machine and cluster lifecycles across hardware platforms and providers, including network boot, firmware, operating-system images, drivers, configuration, upgrades, recovery, and decommissioning. Improve reliability, concurrency, throughput, latency, and reconciliation while handling partial failures. Integrate new sites and GPU hardware generations and collaborate with hardware, networking, data-center, and infrastructure teams.

Lead mechanical and thermal system design for AI supercomputer hardware, from concept through production. Responsibilities include CAD modeling, FEA, tolerance analysis, prototyping, reliability testing, thermal management, supplier collaboration, manufacturing support, product launches, and mentoring engineers. The role focuses on chassis, enclosures, cooling systems, high-power connections, and validation of mission-critical data center hardware.

Leads creative operations for Business Marketing, overseeing resourcing, capacity planning, budgets, agencies, contractors, staffing, and studio workflows. Builds production plans, resolves bottlenecks, balances speed and quality, and improves throughput through AI-enabled tools and automation. Partners with creative leaders, producers, marketers, and business operations to allocate talent, forecast costs, manage tradeoffs, and support campaigns, launches, and self-service production.

Own the architecture, deployment, integration, validation, automation, and operation of NX and Teamcenter engineering applications. Build reliable PLM workflows for parts, BOMs, revisions, migrations, lifecycle states, and releases. Develop installers, diagnostics, regression tests, observability, and recovery tooling while partnering with hardware engineering, infrastructure, vendors, and contractors to create a dependable engineering environment.

Build statistical and machine learning models to optimize GPU utilization, inference capacity, latency, throughput, and fleet efficiency. Develop demand forecasts, analyze production bottlenecks, design experiments and simulations, and support infrastructure planning and GPU investment decisions. Create operational dashboards and communicate insights to engineering, product, finance, research, and executive stakeholders.

Lead finance leadership for OpenAI's compute and infrastructure, developing financial models, analyzing spend patterns, and optimizing costs.

Build and operate procurement integrations, applications, APIs, data flows, and AI-enabled workflows across Oracle Fusion, Zip, and connected systems. Write production code, configure procurement platforms, define data contracts, ensure reliability and financial controls, lead testing and deployments, resolve incidents, and own the long-term procure-to-pay technology roadmap.

Develop and own physical design tools, flows, and methodologies for AI accelerator silicon. Lead block implementation from floorplanning through final signoff, collaborating with RTL designers, EDA vendors, and ASIC partners. Optimize timing, power, and area while driving PPA convergence and improving execution quality. The role requires expertise in physical design, methodology development, coding, RTL, microarchitecture, physical verification, timing closure, and industry-standard synthesis and implementation tools.

Develop and execute product marketing strategy for OpenAI’s advertising business. Responsibilities include researching advertisers and markets, shaping positioning and messaging, partnering with Product and Engineering on roadmap decisions, leading go-to-market launches, creating sales enablement content, measuring adoption, addressing safety and trust concerns, and aligning cross-functional teams. The role requires translating complex AI capabilities into customer value and influencing product priorities through qualitative and quantitative insights.

Manage advertiser relationships across onboarding, campaign launches, performance optimization, product adoption, and partnership growth. Analyze campaign data, provide strategic recommendations, coordinate with Sales, Product, Analytics, Policy, and Operations, resolve issues, gather advertiser feedback, and develop scalable processes for OpenAI’s advertising ecosystem.

Develop customer-facing ChatGPT and OpenAI API features end-to-end, collaborate with engineering, research, product, design, and operations teams, talk with users to solve problems, and optimize applications for speed, scale, safety, and reliability.

Leads OpenAI’s Growth & Revenue data engineering team, owning data strategy and delivery across growth, subscriptions, billing, payments, monetization, and revenue. Builds and manages a high-performing team, develops reliable and well-modeled data products, establishes trusted metrics and quality standards, and partners with Data Science, Product, Finance, and Engineering. The role also oversees roadmap planning, privacy, governance, observability, incident response, stakeholder communication, and team hiring and development.

Operate and improve large-scale Ethernet fabrics that support GPU clusters, storage, and management infrastructure. Monitor and resolve production incidents, execute changes and maintenance, manage hardware lifecycle, perform root-cause analysis, build telemetry and runbooks, and automate operational tasks to improve reliability and reduce toil across global AI data centers.

Lead go-to-market strategy and operations for Security & Safety, translating policy, security, and safety requirements into operating models, launch plans, enablement, and scalable execution. Partner cross-functionally with Product, Policy, Legal, Security, Sales, Marketing, Data, and Customer Success to capture market needs, guide commercialization of cybersecurity capabilities, operationalize data-retention requirements, and inform product and policy decisions.

Build and operate infrastructure for large-scale AI model training and evaluation. Responsibilities include developing inference and grading platforms, optimizing GPU utilization and compute scheduling, diagnosing distributed-system bottlenecks, improving reliability and throughput, and creating self-service tooling, automated validation, and observability for researchers. The role requires ownership of open-ended infrastructure projects and close collaboration across research and engineering teams.