AI Success Engineer - EDU

About the Team

OpenAI's AI Success Engineer team partners with the world's most ambitious organisations 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.

About the Role

The Success Engineer role is the primary post-sales point of contact for a portfolio of education institutions. You will be responsible for driving account health and adoption, ensuring technical readiness, identifying high-impact academic and administrative use cases, and delivering measurable value to our education customers using OpenAI's platform.

Responsibilities

• Lead the post-sale technical relationship as a trusted advisor for EDU customers, advising on deployment, configuration, identity, security, governance, troubleshooting, optimisation, and responsible adoption.
• Identify and implement tech interventions and agentic solutions to drive adoption of OAI product capabilities within the portfolio of assigned EDU accounts.
• Own account health and technical success across an EDU portfolio, including adoption velocity, stakeholder engagement, risks, and value realisation.
• Deliver technical configuration and enablement across ChatGPT Edu (Codex & Work), API, connectors, Agents, and other OpenAI capabilities.
• Identify and validate EDU-specific value drivers through workshops on use case design, responsible adoption, faculty/staff enablement, champion building, and internal communication.
• Translate institutional objectives into an actionable adoption roadmap, defining prioritised workstreams, sequencing, milestones, governance, risks, KPIs, and clear stakeholder ownership across launch, rollout, enablement, change management, and new product activation.
• Drive and demonstrate value realisation by establishing baselines and success metrics, analysing adoption and usage, coordinating progress across stakeholders, and communicating outcomes through quantitative reporting and qualitative impact stories.
• Build strong relationships with executive sponsors, IT/security leaders, academic stakeholders, faculty champions, researchers, and operational teams to understand EDU-specific workflows.
• Help identify expansion opportunities where OpenAI can power new academic, research, administrative, or operational workflows.
• Partner cross-functionally with Sales, Solutions Architecture, Product, Engineering, Research, Education Programs, and Support to resolve blockers and surface customer feedback, field patterns, and EDU-specific signals.

Requirements

• 8+ years of experience in technical customer-facing roles such as technical account management, technical GenAI consulting, solutions architecture, technical delivery leadership, education technology implementation, or enterprise SaaS adoption.
• Hands-on knowledge of OpenAI product capabilities, APIs, SDKs, connectors, common integration patterns, and the ability to explain model behaviour, limitations, technical trade-offs, embeddings, retrieval, fine-tuning, or custom model usage.
• Ability to translate technical concepts into clear institutional value for leaders who may care about student success, research productivity, administrative efficiency, faculty enablement, risk, and governance.
• Comfort embedding with customers to map workflows, identify requirements, diagnose adoption challenges, and build credible rollout plans.
• Excellent project and program management instincts across multi-stakeholder, consensus-heavy environments.
• Ability to be a thought partner for C-level and academic leaders while also diving deep with technical teams.
• High ownership in dynamic customer environments with fast decision-making, context switching, and ambiguous stakeholder needs.
• A strong record of driving technical deployments and owning meaningful adoption and value outcomes in complex organisations.