AI Success Engineer

Responsibilities

• Act as the primary post-sales technical contact and trusted advisor for key customers to drive platform adoption and value realization.
• Own account health, adoption velocity, and ongoing technical deployment across a diverse customer portfolio.
• Conduct technical enablement sessions and facilitate workshops on use case design and adoption best practices.
• Identify and validate high-impact use cases by embedding with customer teams to understand workflows and pain points.
• Lead account-level coordination across multiple workstreams, including product activation, change management, and deployment planning.
• Partner with Solutions Architecture, Product, Engineering, and Research to surface customer feedback and resolve technical blockers.
• Translate customer objectives into actionable adoption roadmaps with clear milestones and KPIs.

Requirements

• 8+ years of experience in technical customer-facing roles such as Technical Account Management, Solutions Architecture, or GenAI consulting.
• Deep, hands-on knowledge of OpenAI product capabilities, APIs, and SDKs.
• Strong understanding of technical concepts including embeddings, retrieval augmentation (RAG), and fine-tuning.
• Proven ability to translate complex technical concepts into clear business language for executive stakeholders.
• Excellent project and program management skills with the ability to lead multi-workstream initiatives.
• Experience driving technical deployments within large enterprise customers and complex environments.

About the Company

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products.