Jobs at OpenAI

Manage day-to-day treasury operations (cash positioning, payments, bank admin, forecasting, reconciliations, FBAR) while designing and implementing scalable workflows, automation, AI-native processes, controls, SOPs, dashboards, and audit-ready documentation. Partner cross-functionally to improve data quality, exception detection, and operational readiness for new entities, M&A, and system changes.

Own and scale end-to-end Order-to-Cash operations including onboarding, provisioning, billing, reconciliations, and month-end close. Serve as operational owner for strategic accounts, embed automation/AI, build SOPs and controls, partner across Revenue Systems, Accounting, Product, and GTM, and establish KPIs and dashboards to ensure audit-ready, accurate invoicing and revenue recognition.

Hands-on senior technical leader responsible for architecture, implementation, launch, and operation of high-impact finance and supply-chain systems. Guides cross-team design decisions, establishes engineering standards (APIs, data contracts, testing, security, observability, lineage), advances AI-enabled engineering practices, mentors engineers, and partners with stakeholders to translate ambiguous needs into durable technical systems.

Lead and execute high-priority go-to-market programs (product launches, sales plays, customer initiatives). Align cross-functional stakeholders, build operating cadences, create program plans and executive communications, use data-driven insights to prioritize and mitigate risks, and scale repeatable GTM processes to drive measurable business impact.

Build and maintain end-to-end demo readiness and reusable demo systems: prototypes, LLM agents, integrations, synthetic data, reliability checks, and automation. Partner with GTM, Product, and Engineering to turn recurring customer needs into scalable demo assets, improve launch readiness, and uphold demo quality across accuracy, safety, and usability.

Lead and scale competitive intelligence by delivering executive-ready analyses, GTM enablement, pricing and product comparisons, and dashboards. Partner cross-functionally with Product, Sales, Marketing, and leadership to turn market signals into strategic recommendations that influence roadmap, positioning, pricing, and sales execution.

Manage design and implementation planning for ML acceleration chip hardware. Lead scheduling with strategic partners/vendors, coordinate internal resources, and drive cross-functional delivery from concept through data-center deployment.

Design, build, and operate reliable, scalable backend services and platform capabilities for monetization (pricing, billing, ads, payments). Own architecture, integrations, correctness, observability, and operational excellence. Lead cross-functional technical projects, write RFCs, mentor engineers, and deliver reusable developer tools and data products for product, finance, and GTM teams.

Partner with Enterprise Sales leadership to manage sales cadences, analyze performance and customer trends, support forecasting and pipeline reviews, build scalable processes and dashboards, coordinate cross-functional initiatives, and deliver executive-ready insights and recommendations to improve GTM efficiency and accelerate growth.

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

The Software Engineer will architect and build monetization systems for ChatGPT Ads, ensuring data correctness and collaborating with various teams to enhance user experience.

The role involves developing and scaling Codex for enterprise use, focusing on product evolution, system reliability, and customer engagement. Responsibilities include building secure systems, leading real-world deployments, and creating enterprise capabilities for operational improvements.

Develop and enhance software tools for hardware engineers, including compilers, simulation, and automation systems, while collaborating with design teams to improve hardware workflows.

The role requires managing the bring-up and provisioning of new systems in cloud or lab environments, ensuring stability and fleet integration while debugging issues.

Design and build infrastructure for payments, ensuring scalable financial systems support rapid product iteration and global reach while collaborating with various stakeholders.

As a Data Scientist on Codex, you will enhance AI developer tools by defining developer productivity, running experiments, and analyzing user metrics to guide product direction.

Design and debug software for embedded devices, working closely with hardware teams to optimize performance and deliver reliable systems.

Design and maintain infrastructure for large-scale multimodal training and evaluation. Collaborate with researchers to build reliable distributed data systems.

As a Forward Deployed Engineer, you will lead government AI model deployments, design full-stack systems, and ensure successful integrations and relationships with public sector stakeholders.

The role involves porting and validating workloads on new platforms, creating benchmarks and stress tests, and improving performance in AI systems.