Tech Lead Manager, Education

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 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.

Recent Work

• New Education Plugins for ChatGPT Work and Codex
• New tools for understanding AI and learning outcomes
• Education for countries
• Advancements in higher education
• Early product work - Introducing 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.

Responsibilities

• 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 education insights into broader ChatGPT behavior and product improvements.
• Drive execution across product, engineering, research, go-to-market, and partner teams.
• Help define product strategy, priorities, and delivery plans for a new product pod.

Qualifications

You might thrive in this role if you have:

• Several years of direct people-management experience with engineers.
• Are still highly technical and comfortable doing IC engineering work.
• Strong product sense and can operate like a GM for a focused product area.
• Can lead senior engineers with credibility and clear technical direction.
• Effective at cross-functional influence, communication, and project management.
• Genuine interest in education, learning science, and how AI can improve learning outcomes.
• Experience operating in a large, complex technology organization.

Nice to Have

• Experience in education, learning products, learning science, or edtech.
• Experience across both larger technology companies and startup-like environments.
• Experience building products that connect research, data pipelines, and user-facing product experiences.
• Experience with B2B products that can later scale into broader consumer workflows.

Pay

Compensation Range: $325K - $405K