Primary record

Tech Lead Manager, Education

OpenAI Indexed employerSan Francisco
Source-hosted applyChecked 5h ago$325K–$405K/yrFull-Time
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Workplace

hybrid

Employment

Full-Time

Published

Aug 10, 2026

Closes

No date supplied

The role

About the Team OpenAI’s Education team is building products that advance how people learn with AI. The team works across higher education institutions, K-12 districts, and country-level partnerships, including applied research on how AI affects learning and cognitive outcomes. The team owns owns ChatGPT Edu, ChatGPT for Teachers, and related product/research work. The team partners closely with go-to-market, research, Consumer Learning, and model teams to turn education-specific insights into product experiences that can improve ChatGPT more broadly. Some of our recent work: - New Education Plugins for ChatGPT Work and Codex https://www.linkedin.com/posts/leahbelsky_new-education-plugins-for-chatgpt-work-ugcPost-7490452691794612224-Qs00/?rcm=ACoAABieResBU17vLQB6PJl1aP5hT_4oszy7jNo&utm_medium=member_desktop_web&utm_source=social_share_send - New tools for understanding AI and learning outcomes https://openai.com/index/understanding-ai-and-learning-outcomes/ - Education for countries https://openai.com/index/edu-for-countries/ - Advancements in higher education https://openai.com/index/ai-education-opportunity/ - Early product work - Introducing Study Mode https://openai.com/index/chatgpt-study-mode/ About the Role We’re looking for a hands-on Tech Lead Manager to lead and manage a team of senior full-stack engineers building AI-native learning experiences in ChatGPT. This person will combine technical execution, product judgment, and people leadership: they will write and ship code, manage engineers, and help shape the product direction for how students and Educators use AI. In This Role, You Will - Lead and manage a team of three senior full-stack engineers. - Build product experiences for ChatGPT Education, ChatGPT for Teachers, and AI-native learning workflows. - Partner with research teams on field studies, randomized control trials, classifiers, data pipelines, and cognitive-outcome measurement. - Collaborate with Consumer Learning and model teams to translate e

Requirements

Department: Applied AI; Team: Applied AI Engineering