# Tech Lead Manager, Education

**Company:** [OpenAI](https://hotfix.jobs/companies/openai)
**Location:** San Francisco, CA
**Role:** Engineering Management
**Salary:** $325k – $405k/yr
**Experience:** 5+ years
**Skills:** Full-Stack Engineering, AI, ChatGPT, Data Pipelines, Classifiers, Randomized Controlled Trials, Product Strategy, People Management, Project Management, Learning Science
**Posted:** 2026-08-10

> Leads a small senior engineering team while remaining hands-on in building AI-native education experiences. The role combines people management, full-stack execution, product strategy, and cross-functional collaboration with research and model teams.

## Job Description

## 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 controlled 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.

## Requirements
- Several years of direct people-management experience with engineers.
- Strong technical skills and comfort performing individual-contributor engineering work.
- Strong product judgment and ability to operate like a general manager for a focused product area.
- Ability to lead senior engineers with credibility and clear technical direction.
- Effective 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 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.

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