Назад
2 дня назад

Engineering Manager (AI)

401 000 - 445 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Engineering Manager (AI): Building AI-native learning experiences and workflows for ChatGPT Education and ChatGPT for Teachers with an accent on technical execution, product judgment, and engineering leadership. Focus on leading senior full-stack engineers, partnering on research studies and data pipelines, and translating education insights into broader ChatGPT product improvements.

Location: San Francisco, United States; hybrid

Salary: $401K–$445K annually, plus equity, performance-related bonuses for eligible employees, and benefits.

Company

OpenAI is an AI research and deployment company building general-purpose AI products with safety and human needs at the core.

What you will do

  • Lead and manage a team of three senior full-stack engineers.
  • Build AI-native learning experiences and workflows for ChatGPT Education and ChatGPT for Teachers.
  • 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 ChatGPT behavior and product improvements.
  • Drive execution across product, engineering, research, go-to-market, and partner teams.
  • Define product strategy, priorities, and delivery plans for a new product pod while contributing code.

Requirements

  • Several years of direct people-management experience with engineers.
  • Strong technical skills and comfort with individual-contributor engineering work.
  • Strong product sense and the ability to operate like a GM for a focused product area.
  • Ability to lead senior engineers with credibility and clear technical direction.
  • Strong cross-functional influence, communication, and project-management skills.
  • Genuine interest in education, learning science, and improving learning outcomes with AI.
  • 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.

Culture & Benefits

  • Medical, dental, and vision insurance with employer contributions to Health Savings Accounts.
  • 401(k) retirement plan with employer match, flexible or annual paid time off depending on exemption status, paid holidays, sick or safe time, and paid parental, medical, and caregiver leave.
  • Mental health and wellness support, employer-paid basic life and disability coverage, and an annual learning and development stipend.
  • Daily office meals, eligible meal delivery credits, commuter benefits, and relocation support for eligible employees.
  • The role is hybrid and at-will; compensation may vary based on market location, knowledge, skills, experience, and company or individual performance.

Hiring process

  • Background checks are administered in accordance with applicable law, including fair-chance requirements for US-based candidates.
  • Reasonable accommodations are available to applicants with disabilities.

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