Software Engineer, Native Learning Experiences

OpenAI
San Francisco
Workplace: HybridFull timeUSD 266,000 - 385,000 annuallyFunction: Software EngineeringSkills: ["Product judgment","User empathy","Collaboration","Experimentation","Communication"]

Build and launch end-to-end native learning experiences for enterprise users, starting in ChatGPT. Own technical vision for 0-to-1 full-stack product engineering across frontend, backend APIs, learner state, content/runtime integration, telemetry, evaluation, reliability, safety, accessibility, and launch readiness. Create internal tools and reusable components that let education and content partners configure and improve learning. Use evidence and experimentation to iterate toward measurable learning and business outcomes.

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FursaFursa
OpenAI
OpenAI
1 day ago

Software Engineer, Native Learning Experiences

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 9 hours agoStatus: Live

Job Summary

Build and launch end-to-end native learning experiences for enterprise users, starting in ChatGPT. Own technical vision for 0-to-1 full-stack product engineering across frontend, backend APIs, learner state, content/runtime integration, telemetry, evaluation, reliability, safety, accessibility, and launch readiness. Create internal tools and reusable components that let education and content partners configure and improve learning. Use evidence and experimentation to iterate toward measurable learning and business outcomes.
Location: San Francisco
Workplace: Hybrid
Employment Type: Full time
Job Function: Software Engineering
Seniority: Mid level

Key Responsibilities

  • •Define and execute the vision for OpenAI’s native learning offering, setting direction and making foundational technical decisions in a 0-to-1 environment.
  • •Build and launch end-to-end product experiences that help users build and apply AI skills through real work, starting in ChatGPT.
  • •Design and implement core systems including learner state, progress and re-entry, content and runtime integration, experimentation, telemetry, and evaluation.
  • •Create reusable components and internal tools so education and content partners can develop, configure, test, and improve learning experiences.
  • •Drive iteration using qualitative feedback and product data to measure learning progress, identify friction, and improve reliability, safety, accessibility, and launch readiness.

Pay and Benefits

Salary: USD 266,000 - 385,000 annually
Equity and Bonus:Equity
Perks:Equity

Key Requirements

  • •Substantial experience building and operating high-quality user-facing products with hands-on delivery and staff-level technical leadership.
  • •Strong full-stack engineering skills, including TypeScript and React, plus backend services/APIs, relational databases, and stateful user flows.
  • •Practical judgment about distributed systems, reliability, and performance.
  • •Experience in 0-to-1 or fast-moving product environments where needs and success measures are evolving.
  • •Strong user empathy and a high bar for accessibility, reliability, safety, security, and performance.
Experience:EdtechLearning scienceAI literacy
Skills:Product judgmentUser empathyCollaborationExperimentationCommunication
Tech Stack:TypeScriptReactAPIsRelational databasesDistributed systemsInstrumentationTelemetryEvaluationChatGPT

Company Brief

OpenAI
Develops and deploys advanced generative AI models (including ChatGPT and DALL·E) and AI infrastructure, providing APIs and consumer products to accelerate safe AGI for broad benefit.
Industry: AI & Machine Learning
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Scaleup
Valuation: Hectocorn (USD 100B+)
Funding: Series E+
Headquarters: San Francisco, United States
Founded: 2015
Glassdoor
Glassdoor: 4.4
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