AI Success Engineer - US Remote

OpenAI OpenAI · AI Frontier · United States · Remote · Go To Market

AI Success Engineer role focused on post-sales customer engagement, driving adoption, technical integration, and value realization for enterprise clients using OpenAI's AI platform. This role requires deep technical knowledge of OpenAI products, APIs, and common integration patterns, as well as experience with enterprise security and compliance frameworks. The engineer will act as a trusted advisor, identify use cases, lead deployments, and translate customer needs into actionable roadmaps, while also providing feedback to Product, Engineering, and Research teams.

What you'd actually do

  1. Lead the technical relationship for post-sale customers and act as their trusted advisor on deployment, adoption, and value realization
  2. Own account health, adoption velocity, and ongoing technical deployment and success across your portfolio
  3. Be an expert in all of OpenAI products across our API and agentic platform, Codex, ChatGPT Enterprise, and more and conduct technical enablement and configuration sessions across them
  4. Identify and validate use cases by embedding with customer teams to understand workflows and pain points
  5. Lead account level coordination across multiple workstreams, including new product activation, change management, and customer rollout and deployment planning

Skills

Required

  • Technical customer facing roles (TAM, consulting, SA, delivery leadership)
  • OpenAI product capabilities, APIs, SDKs, connectors, integration patterns
  • Model behavior, limitations, technical tradeoffs, embeddings, retrieval augmentation, fine-tuning, custom model usage
  • Authentication and enterprise security concepts (SSO, domain verification, encryption)
  • Enterprise compliance frameworks (GDPR, HIPAA)
  • Python or JavaScript
  • REST APIs, SDKs, automation, CI/CD, containers, cloud platforms
  • Translating technical concepts into business language
  • Driving technical deployments and adoption for large enterprise customers
  • Mapping workflows, identifying requirements, diagnosing adoption challenges
  • Project and program management
  • C-level stakeholder engagement
  • Managing fast decision making, context switching, dynamic customer needs

Nice to have

  • Agentic platform expertise

What the JD emphasized

  • 8+ years of experience in technical customer facing roles
  • Deep, hands-on knowledge of OpenAI product capabilities, APIs, SDKs, connectors, and common integration patterns
  • Practical experience with authentication and enterprise security concepts (SSO, domain verification, encryption, and enterprise compliance frameworks (GDPR, HIPAA, etc.))
  • Can show a strong record of driving technical deployments with hands-on on customer work and owning impactful adoption and value for large enterprise customers with complex environments and multiple stakeholders

Other signals

  • post-sales customer engagement
  • driving adoption and value realization
  • technical integration and enablement
  • workflow transformation
  • product delivery