2 months ago
London, United KingdomSenior
Responsibilities
- Own the technical account plan, milestones, adoption priorities, value-realization path, and expansion opportunities for a portfolio of education customers.
- Lead discovery with executives, academic leaders, researchers, faculty, administrators, and technical teams to identify and prioritize institutional AI use cases.
- Design Applied AI architectures covering models, applications, institutional data, identity, integrations, security, privacy, governance, evaluation, and deployment.
- Guide technical evaluations, demonstrations, workshops, prototypes, and proofs of value through responsible production adoption.
- Develop adoption roadmaps with workstreams, sequencing, milestones, stakeholder ownership, governance, risks, success measures, and change-management needs.
- Build trusted relationships with senior institutional stakeholders and coordinate Deployment Engineering, implementation, enablement, Product, Research, education specialists, partners, and other delivery teams.
- Track adoption, usage, account health, production readiness, and customer impact while identifying risks and repeatable education architectures.
- Provide field insights to Product, Engineering, and Research and identify opportunities to expand AI workflows across education institutions.
Requirements
- Significant experience in customer-facing technical roles such as solutions architecture, solutions engineering, technical account leadership, AI deployment, or technical customer success.
- Experience guiding complex organizations from technical evaluation through production adoption and measurable value realization.
- Strong software and cloud architecture foundations, including APIs, distributed systems, data integration, identity, security, and privacy.
- Understanding of modern AI systems, frontier LLM models, agentic applications, model evaluation, retrieval, or enterprise AI workflows.
- Ability to prototype and work confidently with APIs, SDKs, and languages such as Python or JavaScript.
- Ability to develop technical account plans, prioritize complex customer portfolios, and connect adoption to measurable outcomes.
- Strong communication and stakeholder-management skills across executives, academic leaders, business stakeholders, and hands-on engineers.
- Meaningful experience with education technology, higher education, K–12 systems, research institutions, or similarly mission-driven and consensus-oriented environments is preferred.
Benefits
- London-based hybrid work model requiring three days in the office per week.
- Relocation assistance is offered.
- Reasonable accommodations are available for applicants with disabilities.
Tech Stack
Categories
Solutions Engineering
About OpenAI
OpenAI builds and deploys large-scale AI models and tools—including ChatGPT, GPT-4–class models, DALL·E, and Whisper—sold via APIs and enterprise subscriptions to developers and businesses. It monetizes through usage-based API pricing and ChatGPT Plus/Team/Enterprise, and also reaches customers via Microsoft’s Azure OpenAI Service. Founded in 2015 and headquartered in San Francisco, it operates as a private partnership.