6 hours ago
Base Salary
$221k - $278k/yr
Responsibilities
- Serve as the primary technical advisor and long-term technical relationship owner for a portfolio of customers and pre-sales prospects.
- Partner with Account Directors while owning technical account plans, milestones, adoption priorities, and expansion opportunities.
- Lead executive and technical discovery to identify 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.
- Maintain use-case portfolios with decision criteria, ownership, blockers, success measures, delivery needs, and adoption plans.
- Build relationships and technical champions among CTOs, CIOs, CISOs, AI leaders, engineering teams, and other stakeholders.
- Coordinate deployment, implementation, training, enablement, product, domain, partner, and other delivery specialists.
- Track adoption, usage, account health, production readiness, and measurable customer impact.
- Apply Healthcare & Life Sciences expertise to identify repeatable patterns, sharpen priorities, and find expansion opportunities.
- 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 and communicate effectively 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 large language 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.
- Sound judgment about personal technical involvement, specialist engagement, handoffs, and ownership.
- Experience developing technical account plans, prioritizing complex customer portfolios, and connecting adoption to measurable outcomes.
- Meaningful Healthcare & Life Sciences expertise or strong fluency with the needs of organizations in those sectors.
- Clear communication skills and the ability to turn ambiguity into practical technical narratives, executive decisions, or action plans.
- Collaborative approach and commitment to helping organizations deploy advanced AI responsibly.
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.