EdTech Jobs

Role Snapshot

Tech Lead Manager for OpenAI's Education team, leading a small senior full-stack engineering team to build AI-native learning experiences in ChatGPT. This role combines technical execution, product leadership, and people management to advance how students and educators learn with AI.

Key Responsibilities: Lead and manage three senior full-stack engineers while writing and shipping code; build product experiences for ChatGPT Education and related learning workflows; partner with research teams on field studies and cognitive-outcome measurement; collaborate cross-functionally to translate education insights into broader ChatGPT improvements.
Skills & Tools: Several years of direct people-management experience with engineers; strong technical proficiency and comfort with IC engineering work; excellent product sense and ability to operate as a GM for a focused product area; cross-functional influence, communication, and project management capabilities; genuine interest in education, learning science, and AI's impact on learning outcomes.
Qualifications: Proven experience leading senior engineers with technical credibility; track record operating in large, complex technology organizations. Nice-to-have experience includes education or edtech background, familiarity with both large tech companies and startup environments, and experience connecting research, data pipelines, and user-facing products.
Location: In-Person - San Francisco
Compensation: Not provided by employer. Typical compensation for this role is $250,000 – $350,000/year based on title, seniority, company, and location.

Job Description

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 product pod is early, about three months old, and 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:

About the Role

We’re looking for a hands-on Tech Lead Manager to lead a small, senior full-stack engineering team 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 Educationcators 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 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.

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.

  • Have strong product sense and can operate like a GM for a focused product area.

  • Can lead senior engineers with credibility and clear technical direction.

  • Are effective at cross-functional influence, communication, and project management.

  • Are genuinely interested in education, learning science, and how AI can improve learning outcomes.

  • Have 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.

About OpenAI

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. 

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.

For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.

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