AI Conversation Designer optimizing voice AI agents for trade businesses to enhance customer interactions. Leading design, testing, and continuous improvement for effective AI conversations.
About the role
- AI Success Engineer at OpenAI guiding educational institutions through technical adoption and deployment. Leading customer relationships and delivering measurable value with the AI 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 our broad 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 new product activation, change management, and customer rollout and deployment planning.
- Build strong relationships with provosts, CIOs, IT leaders, academic, and technical stakeholders and help align institutional goals with OpenAI capabilities.
- Translate customer objectives into an actionable adoption roadmap with clear sequencing, milestones, and KPIs.
- Partner with Solutions Architecture, Product, Engineering and Research by surfacing customer feedback, field patterns, and technical blockers and act as a cross functional navigator who keeps teams aligned, informed, and moving toward customer outcomes.
- Guide value realization through student, faculty, and institutional outcomes such as engagement, research productivity, operational efficiency, and learning impact, supported by baselines and reporting.
- Facilitate workshops for faculty, staff, and administrators on use case design, adoption best practices, champion building, and institution-wide enablement.
- Help drive expansions by identifying high leverage opportunities where OpenAI’s platform can power new workflows or lines of business.
- Serve as the technical advisor for existing customer implementations by guiding and optimizing account setup, configuration, etc.
Requirements
- 8+ years of experience in technical customer facing roles such as technical account management, technical GenAI consulting, solutions architecture, technical delivery leadership, or deep technical enterprise SaaS adoption work.
- Experience working with education institutions is preferred but not necessary.
- Deep, hands-on knowledge of OpenAI product capabilities, APIs, SDKs, connectors, and common integration patterns and able to explain model behavior, limitations, technical tradeoffs, embeddings, retrieval augmentation, and approaches to fine-tuning or custom model usage.
- Can translate technical concepts into clear business language and help customers understand the strategic impact of AI technologies.
- Are comfortable embedding with customers to map workflows, identify requirements, and diagnose adoption challenges.
- Have excellent project and program management instincts and can lead multi workstream initiatives with clarity and structure.
- Enjoy being a thought partner for executive level stakeholders while also diving deep with technical teams.
- Operate with high ownership and can manage fast decision making, context switching, and dynamic customer needs.
- Have a strong record of driving technical deployments with hands-on on customer work and owning impactful adoption and value for large institutions with complex environments and multiple stakeholders.
Benefits
- We use a hybrid work model of 3 days in the office per week
- Offer relocation assistance to new employees
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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