# Software Engineer, Native Learning Experiences

**Company:** [OpenAI](https://hotfix.jobs/companies/openai)
**Location:** San Francisco, CA
**Role:** Fullstack Engineering
**Salary:** $266k – $385k/yr
**Experience:** 7+ years
**Skills:** TypeScript, React, Backend Apis, Relational Databases, Distributed Systems, Instrumentation, Telemetry, Experimentation, Product Analytics, Accessibility, Ai Products, Llm Applications
**Posted:** 2026-09-03

> Build OpenAI’s native learning experiences as a hands-on, staff-level full-stack product engineer. You will lead 0-to-1 development across frontend, backend, learner state, experimentation, and evaluation while shaping adaptive AI learning products for workplace users.

## Job Description

## Responsibilities
- Own the vision and execution of 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 for developing, configuring, testing, and improving learning experiences.
- Build and test entry points, hands-on practice, feedback, telemetry, and evaluation; use real-world evidence to prioritize capabilities.
- Partner with education, learning science, research, design, data, content, support, engineering, and customer-facing teams.
- Translate product and learning goals into requirements, prototypes, milestones, reusable UI patterns, and product metrics.
- Define learner intent and evaluate product quality, learning, transfer to real work, and adoption using product data, 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, and performance.
- Experience building products in 0-to-1 or fast-moving environments with evolving user needs and success measures.
- Strong user empathy and high standards for product quality, interaction design, 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 explaining technical decisions and tradeoffs to varied audiences.
- Careful judgment when building products that shape how people understand and use AI.

## Nice to Have
- 5+ years of professional engineering experience, excluding internships.
- Founder or early-startup engineering experience building a product from scratch.
- Experience with education, edtech, learning, tutoring, coaching, assessment, onboarding, training, or enablement products.
- Experience in AI literacy, workforce learning, enterprise enablement, or developer education.
- 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 products for individuals and organizations, including administration, reporting, or support-readiness features.

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