Jobs at OpenAI

As a Customer Success Manager, you will support advertisers in onboarding and growing on OpenAI's advertising platform, managing relationships, analyzing performance, and collaborating with internal teams to enhance the advertiser experience.

The Account Director manages customer accounts, develops strategies for deployment, forecasts revenue, and supports recruitment while partnering with various teams to enhance product understanding.

The EDU Account Director will drive sales for OpenAI's products in the education sector, guiding institutions through the adoption process, and collaborating with various departments to optimize customer engagement and success.

Own relationships with strategic startup customers, drive adoption of OpenAI APIs/SDKs, hit consumption and revenue targets, coordinate technical engagements, analyze account metrics, synthesize product feedback, influence corporate strategy, and support hiring and culture within the Startup Go-To-Market team.

Lead end-to-end technical delivery of AI/LLM deployments: define roadmaps, coordinate engineers and researchers, embed with customers for adoption, manage dependencies and readiness, codify reusable solution patterns, and measure ROI.

This role involves guiding Go-To-Market (GTM) strategy, driving operational efficiency, and providing data-driven insights while collaborating across functions to optimize processes and resource allocation in a high-growth technology environment.

The Partner AI Deployment Engineer will lead technical engagements with AWS, driving strategies and best practices for deploying Generative AI applications, mentoring partners, and influencing account strategies.

The Forward Deployed Engineer leads the deployment of advanced models, collaborating with customers on system design, delivery, and support.

Partner with strategic customers to identify high-value Generative AI use cases, build prototypes, and drive solutions from prototype to production using OpenAI technologies. Provide technical leadership, enterprise architecture guidance, stakeholder management, and feedback to Product and Research teams while scaling best practices and developer resources.