Software Engineer, Native Learning Experiences

Details

Customer Readiness helps customers and partners build the practical skills and confidence to use AI and OpenAI products safely and effectively. The team focuses on role- and skill-based learning paths, practical content, and product experiences that accelerate learning in the workplace.

This is a hands-on, 0-to-1 product engineering role focused on defining and building new learning experiences. The engineer will set technical direction, make foundational decisions, and deliver full-stack product experiences from prototype through launch, instrumentation, iteration, and production hardening. The work spans interaction design, frontend implementation, backend APIs and services, learner state, content and runtime integration, telemetry, evaluation, reliability, safety, accessibility, and launch readiness.

Responsibilities

• Own the vision and execution for OpenAI's native learning offering.
• Build and launch end-to-end product experiences that help users build and apply AI skills through real work, starting in ChatGPT.
• Design core systems for learner state, progress and re-entry, content and runtime integration, experimentation, telemetry, and evaluation.
• Create reusable components and internal tools that enable education and content partners to develop, configure, test, and improve learning experiences.
• Build and test clear entry points, hands-on practice, feedback, telemetry, and evaluation mechanisms.
• Use product data, learner feedback, and operational signals to evaluate product quality, learning, transfer to real work, and adoption.
• Partner with Customer Readiness, EDU Engineering, learning science, research, design, data, content, support, and customer-facing teams.
• Translate product and learning goals into requirements, prototypes, milestones, reusable UI patterns, and product metrics.
• Make pragmatic tradeoffs across speed, quality, scalability, and operational simplicity in a 0-to-1 product area.

Requirements

• Substantial experience building and operating high-quality user-facing products, with staff-level technical leadership and hands-on delivery experience.
• Strong full-stack engineering skills, including TypeScript, React, backend services and APIs, relational databases, stateful user flows, and instrumentation.
• Practical judgment regarding distributed systems, reliability, and performance.
• Experience building in 0-to-1 or fast-moving product environments where user needs, product direction, and success measures are evolving.
• Strong user empathy and a high bar for product and interaction quality, accessibility, reliability, safety, security, and performance.
• Experience collaborating across engineering, research, product, design, data, content, operations, and customer-facing teams.
• Ability to use qualitative feedback and product data to identify friction, prioritize work, and improve outcomes.
• Clear written and verbal communication, including the ability to explain technical decisions and tradeoffs to different audiences.
• Careful judgment when building products that shape how people understand and use AI.

Nice to Have

• Five or more years of professional engineering experience, excluding internships, in relevant roles at technology and product-driven companies.
• Experience as a founder or early startup engineer who built a product from scratch.
• Experience building education, edtech, learning, tutoring, coaching, assessment, onboarding, training, or enablement products.
• Experience in AI literacy, workforce learning, enterprise enablement, developer education, or similar spaces.
• Experience building AI products, LLM applications, developer tools, agent-assisted workflows, or personalized user experiences.
• Experience building customer-facing, revenue, sales, support, or go-to-market systems.
• Experience translating research into product decisions, experiments, evaluation, measurement, and iteration.
• Experience building product surfaces used by both individuals and organizations, including administrative, reporting, or support-readiness features.

Benefits

• Base salary range of $266,000–$385,000 per year, plus equity.
• Medical, dental, and vision insurance, with employer contributions to Health Savings Accounts.
• Pre-tax Flexible Spending Accounts and commuter benefits.
• 401(k) retirement plan with employer match.
• Paid parental, medical, and caregiver leave.
• Paid time off and paid company holidays.
• Mental health and wellness support.
• Employer-paid basic life and disability coverage.
• Annual learning and development stipend.
• Daily office meals and eligible meal delivery credits.
• Relocation support for eligible employees.
• Additional benefits may include charitable donation matching and wellness stipends.

OpenAI is an equal opportunity employer committed to reasonable accommodations for applicants with disabilities.