15 hours ago
Munich, Germany or London, United KingdomSenior
Responsibilities
- Serve as the primary technical advisor and long-term technical relationship owner for a portfolio of public sector customers and prospects.
- Own technical account plans, technical milestones, adoption priorities, expansion opportunities, and customer technical outcomes.
- Lead discovery with agency leaders, executives, mission owners, and technical teams to prioritize AI use cases and measurable outcomes.
- Develop applied AI architectures covering models, applications, data, integration, identity, security, privacy, governance, evaluation, and deployment.
- Guide customers through technical evaluations, demonstrations, workshops, prototypes, and proofs of value.
- Help customers address public sector security, compliance, governance, procurement, and deployment requirements.
- Track adoption, usage, account health, production readiness, and mission impact, intervening when risks threaten value realization.
- Coordinate Deployment Engineering, implementation, enablement, security, product, domain specialists, partners, and other delivery teams.
- Share customer insights with Product, Engineering, and Research to improve products, architecture guidance, and reusable practices.
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 impact.
- Experience with government agencies, public institutions, or government contractors and understanding of public sector mission, security, compliance, governance, and procurement considerations.
- Ability to build credibility with senior technical and government leaders and communicate with engineers and program teams.
- Strong software and cloud architecture foundations, including APIs, distributed systems, data integration, identity, security, and privacy.
- Understanding of modern AI systems, frontier models, agentic applications, model evaluation, retrieval, and enterprise AI workflows.
- Ability to prototype and work with APIs, SDKs, and languages such as Python or JavaScript.
- Experience developing technical account plans, prioritizing complex customer portfolios, and connecting adoption to measurable outcomes.
- Meaningful expertise in a relevant public sector mission or customer segment.
- Clear communication, sound judgment, cross-functional collaboration, and the ability to turn ambiguity into practical technical plans.
Benefits
- Based in Munich or London with a hybrid work model requiring three days in the office per week.
- Relocation assistance is offered to new employees.
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.