5 hours ago
Base Salary
$217k - $276k/yr
Responsibilities
- Serve as the primary technical advisor and long-term technical relationship owner for a portfolio of retail customers and pre-sales prospects.
- Own technical account plans, milestones, adoption priorities, customer journeys, and technical expansion opportunities in partnership with Account Directors.
- Lead executive and technical discovery to identify, qualify, and prioritize AI use cases tied to business outcomes.
- Develop applied AI architectures spanning models, applications, data, integration, security, privacy, governance, evaluation, and deployment.
- Guide customers through technical evaluations, demonstrations, workshops, prototypes, and proofs of value toward production adoption.
- Coordinate Deployment Engineering, implementation, enablement, product, domain specialists, partners, and other delivery teams.
- Track adoption, usage, account health, production readiness, risks, and measurable customer impact.
- 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 enterprise organizations from technical evaluation through production adoption and measurable business impact.
- Ability to build credibility with senior technical and business leaders while communicating with hands-on engineers.
- 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, Python, or JavaScript.
- Experience developing technical account plans, prioritizing complex customer portfolios, and connecting adoption to measurable outcomes.
- Meaningful retail expertise or strong fluency with retail and consumer-business needs.
- Clear communication, sound judgment, cross-functional collaboration, and commitment to responsible AI deployment.
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.