Customer Education, Content & Systems Operations Lead
OpenAIAbout the Team
OpenAI’s mission is to ensure that artificial general intelligence benefits all of humanity. Customer Education plays an important role in that mission by helping people and organizations use increasingly capable AI systems effectively, responsibly, and with confidence.
We create learning experiences, programs, and resources that help customers move from initial understanding to sustained use and measurable impact. As our products, audiences, and programs grow, we need an operating foundation that keeps the content portfolio trusted, clarifies complex work, and helps the team deliver at a consistently high standard.
This role offers the opportunity to build the operational foundation behind education programs that shape how enterprises adopt frontier AI.
About the Role
We are looking for a strategic operator to own the operating system behind Customer Education.
You will work at the center of content, systems, and team execution: owning the health of our education content portfolio, running the team’s operating rhythm, and translating evolving business needs into scalable workflows and system requirements.
The right person will raise the quality of execution across Customer Education. You will bring order, judgment, and follow-through to a fast-moving environment, making the function easier to run, easier to trust, and easier to scale.
In this role, you will:
Own the health and integrity of the Customer Education content portfolio, including lifecycle, governance, discoverability, reuse, and meaningful gaps.
Ensure customer-facing teams can confidently find and use the right education resources at the right time.
Run the team’s operating rhythm across priorities, ownership, timelines, dependencies, decisions, launch readiness, and follow-through.
Turn ambiguous cross-functional initiatives into clear plans, workflows, responsibilities, and decision points.
Design scalable processes and handoffs for how education programs are created, launched, maintained, distributed, and measured.
Translate team and business needs into practical system requirements and partner across teams to bring solutions to life.
Identify operational risks, portfolio gaps, duplicated effort, and breakdowns in execution before they become larger problems.
Use AI deeply to automate repeatable work, strengthen quality control, synthesize inputs, and create better operating leverage.