Used Tools & Technologies
Not specified
Required Skills & Competences
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Leadership @ 7
API @ 7
Reporting @ 4
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
OpenAI’s AI Success Engineer team partners with the world’s most ambitious organizations to translate cutting-edge AI into real business value. The Success Engineer is the primary post-sales technical point of contact for a portfolio of education institutions and is responsible for driving account health and adoption, ensuring technical readiness, identifying impactful academic and administrative use cases, and delivering measurable value using OpenAI’s platform.
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.
- Conduct technical enablement and configuration sessions across OpenAI’s 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 product activation, change management, rollout, and deployment planning.
- Build relationships with provosts, CIOs, IT leaders, academic, and technical stakeholders and align institutional goals with OpenAI capabilities.
- Translate customer objectives into an actionable adoption roadmap with sequencing, milestones, and KPIs.
- Surface customer feedback, field patterns, and technical blockers to Solutions Architecture, Product, Engineering, and Research; act as a cross-functional navigator.
- Guide value realization through student, faculty, and institutional outcomes supported by baselines and reporting.
- Facilitate workshops for faculty, staff, and administrators on use case design, adoption best practices, champion building, and enablement.
- Help drive expansions by identifying opportunities where OpenAI’s platform can power new workflows or lines of business.
- Serve as technical advisor for existing implementations, guiding and optimizing account setup and configuration.
Requirements
- 8+ years of experience in technical customer-facing roles such as technical account management, GenAI consulting, solutions architecture, technical delivery leadership, or enterprise SaaS adoption.
- Experience working with education institutions is preferred but not required.
- 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.
- Ability to translate technical concepts into clear business language and help customers understand strategic impact.
- Comfortable embedding with customers to map workflows, identify requirements, and diagnose adoption challenges.
- Strong project and program management instincts; able to lead multi-workstream initiatives.
- Experience engaging executive-level stakeholders and diving deep with technical teams.
- High ownership, ability to make fast decisions, and manage context switching in dynamic customer environments.
- Proven record of driving technical deployments and owning impactful adoption and value for large institutions with complex environments and multiple stakeholders.
Benefits & Company Information
- Base pay indicated: $240K; total compensation may include equity and performance-related bonus(es).
- Medical, dental, and vision insurance; employer contributions to Health Savings Accounts.
- Pre-tax accounts (Health FSA, Dependent Care FSA, commuter benefits), 401(k) with employer match.
- Paid parental leave and caregiver leave; flexible PTO; paid holidays and office closures.
- Mental health and wellness support; employer-paid basic life and disability coverage.
- Annual learning and development stipend; daily meals in offices and meal delivery credits as eligible.
- Relocation support for eligible employees; OpenAI offers relocation benefits to new hires for roles based in San Francisco or New York City.
- Background checks administered consistent with applicable law; OpenAI is an equal opportunity employer and provides reasonable accommodations for applicants with disabilities.
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