Lead, Technical AI Deployment Manager
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Requirements
- Deep technical fluency with APIs and modern software development workflows.
- Ability to teach and explain complex technical concepts at 103-level depth, including how OpenAI products change how teams design and ship software.
- 103-level depth
- Demonstrated ability to do the work first and then scale it through others.
- do the work first and then scale it
- Strong judgment navigating tradeoffs between bespoke delivery and scalable systems.
- Early leadership experience or strong interest in growing as a people manager.
- Experience in technical enablement, developer education, platform adoption, or adjacent customer-facing technical roles is a plus.
- OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
Responsibilities
- Build and scale OpenAI’s technical training motion
- Design and own the technical services menu for OpenAI’s API and coding products — deciding what we deliver live, what becomes repeatable, and what we stop doing.
- technical services menu
- Deliver high-impact technical trainings yourself (e.g., API 103-level depth, applying OpenAI products to real enterprise use cases, evolving customer SDLCs).Partner closely with Customer Education to define and maintain the canonical builder and coder journey, from onboarding through production use.
- canonical builder and coder journey
- Own outcomes and impact
- Be accountable for technical training outcomes, including:
- Production use cases launched
- Token consumption and platform usage for educated customers
- Throughput and reuse of technical training
- Continuously evaluate tradeoffs between depth vs. scale, bespoke vs. repeatable, and speed vs. rigor — and adjust the model as we learn.
- Build the Technical ADM function
- Hire, develop, and lead our first cohort of technical ADMs
- Establish standards for technical depth, delivery quality, and excellence in training.
- Create the operating model that enables the function to scale sustainably as demand grows.
- Collaborate with Core / Coding / Emerging Products teams to standardize the ADM motion.
- Partner across OpenAI
- Deliver technical trainings on behalf of — and in close partnership with — SAs and ASEs.
- Build strong working relationships with Product, Engineering, and Developer teams to ensure technical training remains current, credible, and aligned with the platform roadmap.