Software Engineer, Native Learning Experiences
AI research and deployment company building and deploying frontier AI products, including ChatGPT, Codex, and its API platform.
Projects
About OpenAI
OpenAI’s mission is to ensure artificial general intelligence benefits all of humanity. It consists of the nonprofit OpenAI Foundation and OpenAI Group, a public benefit corporation governed by the Foundation.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will own the vision and execution for a native learning offering, building full-stack 0-to-1 experiences that help users build and apply AI skills through real work. You'll design core systems like learner state, progress, telemetry and evaluation, create reusable tools for education partners, and use data and learner feedback to iterate.
Requirements
- 5+ years as a software engineer working on applied AI or user-facing systems
- Record of staff-level technical leadership and hands-on delivery
- Strong full-stack skills including TypeScript, React, backend services and APIs, relational databases, and instrumentation
- Experience in 0-to-1 or fast-moving product environments
- High bar for product quality, accessibility, reliability, safety, security and performance
- Experience collaborating across engineering, research, product, design, data and operations
- Ability to use qualitative feedback and product data to improve outcomes
- Clear written and verbal communication
Responsibilities
- Own the vision and execution for the native learning offering
- Build and launch end-to-end product experiences starting in ChatGPT
- Design core systems including learner state, progress, content and runtime integration, experimentation, telemetry and evaluation
- Create reusable components and internal tools for education and content partners
- Build and test entry points, hands-on practice, feedback and evaluation
- Partner with cross-functional teams across education, engineering, research, design and data
- Turn product and learning goals into requirements, prototypes, milestones and metrics
- Evaluate product quality, learning and adoption using data and learner feedback
- Make pragmatic tradeoffs across speed, quality, scalability and operational simplicity
Benefits
- Equity
- Performance-related bonus
- Medical, dental, and vision insurance
- Health Savings Account employer contributions
- Health FSA, Dependent Care FSA, and commuter pre-tax accounts
- 401(k) with employer match
- Paid parental leave
- Paid medical and caregiver leave
- Flexible PTO
- 13+ paid company holidays
- Paid sick or safe time
- Mental health and wellness support
- Employer-paid basic life and disability coverage
- Annual learning and development stipend
- Daily meals in offices
- Relocation support
- Charitable donation matching and wellness stipends
