AI Success Engineer - EDU

About the Team

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.

Our customers range from fast growing digital natives to the largest global enterprises, government agencies and educational institutions. Every engagement is an opportunity to shape how AI changes work, productivity, and innovation. This role sits at the center of that mission.

About the Role

The Success Engineer role is the primary post-sales point of contact for a portfolio of education institutions. You are 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.

This role blends technical leadership, program management, customer advisory, and product influence. You will partner deeply with customer teams, map workflows, lead configuration and enablement, oversee deployment plans, and guide institutions toward high impact use cases that showcase the full value of our platform.

You will work closely with Sales, Solutions Architecture, Product, and Research to ensure the customer experience is connected and successful across every touchpoint. Success in this role means accelerating adoption, increasing customer activation depth, guiding strategic use cases that get to production, and helping customers demonstrate tangible business impact.

This role is based in Singapore.

In this role, you will:

• Lead the post-sale technical relationship as a trusted advisor for EDU customers, advising on deployment, configuration, identity, security, governance, troubleshooting, optimization, 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 realization.

• 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 prioritized workstreams, sequencing, milestones, governance, risks, KPIs, and clear stakeholder ownership across launch, rollout, enablement, change management, and new product activation.

• Drive and demonstrate value realization by establishing baselines and success metrics, analyzing 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.

You’ll thrive in this role if you:

• 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 behavior, limitations, technical tradeoffs, 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 organizations.

About OpenAI

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. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.

For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf.

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.

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