Чётко очерченная руководящая роль с практической инженерной работой в одной из ведущих AI-компаний и влиянием на образовательные продукты и решения, основанные на исследованиях.
Оплата выше рынка
AI в образовании
Понятная зона ответственности
Сильный соцпакет
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Текст:
Hirify AI/Оригинал
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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