AI Success Engineer

Responsibilities

• 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.
• Be an expert in all OpenAI products across our API and agentic platform, Codex, ChatGPT Enterprise, and more; conduct technical enablement and configuration sessions.
• 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; act as a cross-functional navigator.
• 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.

Requirements

• 5+ years of experience in technical customer facing roles such as technical account management, technical GenAI consulting or deployment roles, solutions architecture, technical delivery leadership, customer architecture or engineering, or other deep technical enterprise adoption work.
• Meaningful experience working with healthcare or life-sciences organizations (providers, payers, biopharma, medical-device companies, CROs, or health-technology organizations) and an understanding of their data, workflows, regulatory environments, and operating models.
• Scientific or clinical training in a relevant field such as medicine, biology, chemistry, pharmacy, biomedical engineering, or public health, with a passion for applying AI responsibly to advance scientific innovation and improve patient outcomes.
• Deep, hands-on operational 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.
• Practical experience deploying technology in regulated enterprise environments, including authentication, access controls, encryption, data classification, retention, auditability, and incident response.
• Working knowledge of healthcare and life-sciences requirements including HIPAA/HITECH and BAAs, global health-data privacy, and where relevant GxP, 21 CFR Part 11, clinical research, pharmacovigilance, or medical-device regulation.
• Understanding and familiarity with coding languages like Python or JavaScript, and comfort with REST APIs, SDKs, automation, CI/CD, containers, and cloud platforms.
• 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.
• Enjoy 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 and value for large enterprise customers with complex environments and multiple stakeholders.

Nice-to-Haves

• Experience with OpenAI products specifically.