AI Success Engineer - Seoul, South Korea

OpenAI's AI Success Engineer team partners with the world's most ambitious organizations to translate cutting edge AI into real business value. We guide customers from first deployment through scaled enterprise adoption. Our work spans technical integration and enablement, workflow transformation, and sustained program and product delivery. The Success Engineer role is the primary post-sales point of contact for a set of OpenAI's most important customers.

• Lead the technical relationship for post-sale customers and act as their trusted advisor on deployment, adoption, and value realization.
• Own account health, adoption velocity, and ongoing technical deployment and success across your portfolio.
• Conduct technical enablement and configuration sessions across our broad product portfolio.
• Identify and validate use cases by embedding with customer teams to understand workflows and pain points.
• Lead account level coordination across multiple workstreams, including new product activation, change management, and customer rollout and deployment planning.
• Build strong relationships with executive sponsors and technical stakeholders and help align business goals with OpenAI capabilities.
• Translate customer objectives into an actionable adoption roadmap with clear sequencing, milestones, and KPIs.
• Partner with Solutions Architecture, Product, Engineering and Research by surfacing customer feedback, field patterns, and technical blockers.
• Guide value realization and measure impact through baselines, KPI definition, and post deployment reporting.
• Facilitate workshops on use case design, adoption best practices, champion building, and internal enablement.
• Help drive expansions by identifying high leverage opportunities where OpenAI's platform can power new workflows or lines of business.
• Serve as the technical advisor for existing customer implementations by guiding and optimizing account setup, configuration, etc.
• 8+ years of experience in technical customer facing roles such as technical account management, technical GenAI consulting, solutions architecture, technical delivery leadership, or deep technical enterprise SaaS adoption work.
• Deep, hands-on knowledge of OpenAI product capabilities, APIs, SDKs, connectors, and common integration patterns.
• Able to explain model behavior, limitations, technical tradeoffs, embeddings, retrieval augmentation, and approaches to fine-tuning or custom model usage.
• Can translate technical concepts into clear business language and help customers understand the strategic impact of AI technologies.
• Comfortable embedding with customers to map workflows, identify requirements, and diagnose adoption challenges.
• Excellent project and program management instincts and can lead multi workstream initiatives with clarity and structure.
• Comfortable being a thought partner for C-level stakeholders while also diving deep with technical teams.
• Operate with high ownership and can manage fast decision making, context switching, and dynamic customer needs.
• Strong record of driving technical deployments with hands-on customer work and owning impactful adoption for large enterprise customers with complex environments.

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