Software Engineer, Native Learning Experiences

Responsibilities

• Own the vision and execution of OpenAI’s native learning offering.
• Build and launch end-to-end product experiences in ChatGPT that help users develop and apply AI skills through real work.
• Design systems for learner state, progress, 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 entry points, hands-on practice, feedback, telemetry, and evaluation capabilities, using real-world evidence to guide iteration.
• Partner with engineering, education, learning science, research, design, data, content, support, and customer-facing teams.
• Translate learning and product goals into requirements, prototypes, milestones, reusable UI patterns, and product metrics.
• Evaluate product quality, learning, transfer to real work, and adoption using product data, learner feedback, and operational signals.
• 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.
• 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, performance, accessibility, safety, and security.
• Experience building products in 0-to-1 or fast-moving environments where user needs, product direction, and success measures evolve.
• 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 and the ability to explain technical decisions and tradeoffs to varied audiences.
• Strong user empathy, product judgment, and care when building products that shape how people understand and use AI.
• Preferred experience includes 5+ years of professional engineering experience, excluding internships.
• Preferred experience includes startup founding or early-stage product development, education or learning products, AI literacy, enterprise enablement, AI products, LLM applications, developer tools, agent-assisted workflows, personalized experiences, or customer-facing and go-to-market systems.
• Preferred experience includes translating research into product decisions, experiments, evaluation, measurement, and iteration.
• Preferred experience includes building products for both individual users and organizations, including administrative, reporting, or support-readiness features.