AI Success Engineer - EDU

Responsibilities

• Lead the technical relationship for post-sale education customers as their trusted advisor on deployment, adoption, and value realization.
• Own account health, adoption velocity, and ongoing technical deployment and success across a portfolio of education institutions.
• Conduct technical enablement and configuration sessions across OpenAI's product portfolio.
• Identify and validate high-impact academic and administrative 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 provosts, CIOs, IT leaders, academic, and technical stakeholders; align institutional 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 through student, faculty, and institutional outcomes such as engagement, research productivity, operational efficiency, and learning impact.
• Facilitate workshops for faculty, staff, and administrators on use case design, adoption best practices, champion building, and institution-wide enablement.
• Drive expansions by identifying high-leverage opportunities for new workflows.
• Serve as the technical advisor for existing customer implementations by guiding and optimizing account setup and configuration.

Requirements

• 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.
• Ability to explain model behavior, limitations, technical tradeoffs, embeddings, retrieval augmentation, and approaches to fine-tuning or custom model usage.
• Experience translating technical concepts into clear business language and helping 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; able to lead multi-workstream initiatives with clarity and structure.
• Enjoy being a thought partner for executive-level stakeholders while diving deep with technical teams.
• High ownership, ability to 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 institutions with complex environments and multiple stakeholders.

Nice-to-Haves

• Experience working with education institutions.