OpenAI의 AI Success Engineer는 교육 기관 고객의 성공적인 AI 도입을 이끄는 핵심 역할입니다. 8년 이상의 기술 고객 대면 경력과 OpenAI 제품 및 API에 대한 깊은 이해가 필수입니다. 고객의 워크플로우를 분석하여 기술적 배포를 주도하고, 교육 현장에서의 실질적인 가치 창출을 지원합니다. 기술적 리더십과 프로젝트 관리 역량을 갖춘 인재를 찾습니다.
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.
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 SF or NYC; we offer relocation benefits to new hires.
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
Conduct technical enablement and configuration sessions across our broad product portfolio
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 provosts, CIOs, IT leaders, academic, and technical stakeholders and help 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 and act as a cross functional navigator who keeps teams aligned, informed, and moving toward customer outcomes
Guide value realization through student, faculty, and institutional outcomes such as engagement, research productivity, operational efficiency, and learning impact, supported by baselines and reporting
Facilitate workshops for faculty, staff, and administrators on use case design, adoption best practices, champion building, and institution-wide 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.
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
Experience working with education institutions is preferred but not necessary
Deep, hands-on knowledge of OpenAI product capabilities, APIs, SDKs, connectors, and common integration patterns and able to explain model behavior, limitations, technical tradeoffs, embeddings, retrieval augmentation, and approaches to fine-tuning or custom model usage.
Can translate technical concepts into clear business language and help customers understand the strategic impact of AI technologies
Are comfortable embedding with customers to map workflows, identify requirements, and diagnose adoption challenges
Have excellent project and program management instincts and can lead multi workstream initiatives with clarity and structure
Enjoy being a thought partner for executive 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
Have a strong record of driving technical deployments with hands-on on customer work and owning impactful adoption and value for large institutions with complex environments and multiple stakeholders
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.
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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