{"schemaVersion":"jobsearcher.job.v1","id":"480dfb21d04bd8d707dc7b87","url":"https://jobsearcher.com/jobs/480dfb21d04bd8d707dc7b87","canonicalUrl":"https://jobsearcher.com/jobs/480dfb21d04bd8d707dc7b87","title":"Software Engineer, Native Learning Experiences","description":"Applied AI - San Francisco\n\nAbout the Team\n\nCustomer education 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. It brings together learning and enablement expertise, field insight, product signals, and measurement to improve learner and business outcomes.\n\nTogether, these experiences will help enterprise users build practical AI skills, apply them with confidence in their work, and demonstrate what they can do. Employers will gain a clearer view of workforce skills and progress, helping them recognize capability, focus development where it matters most, and build confidence in workforce readiness.\n\nAbout the Role\n\nWe’re looking for a full-stack engineer to define and build a new class of learning experiences. This is an early-stage product area where technical judgment, product sense, and learner empathy are critical. You will be setting a technical vision for how people use AI to learn how to use AI, safely and beneficially.\n\nThis is a hands-on, 0-1 product engineering role with broad technical and product ownership. You’ll set direction, make foundational decisions, and ship the first versions of experiences that can grow into the default way people learn at work. You will drive full-stack product experiences end to end, 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.\n\nYou’ll work closely with our education, GTM, and engineering teams to translate how people learn into products people want to use. bring role- and skill-based learning paths into the product, designing coaching, feedback, and adaptive support which responds to each learner’s goals, context, and progress. You’ll lead focused experiments, measure what helps learners progress and where they struggle, and use that evidence to shape what comes next.\n\nStrong candidates will be product engineers with experience and a strong interest in education, learning science, assessment, behavior change, or AI literacy. You’ll help shape how OpenAI supports structured, adaptive learning in the flow of work, from a learner’s first entry point through practice, feedback, progress, and repeated use.\n\nIn this role, you will:\n\nOwn the vision and execution for OAI’s native learning offering\n\nBuild and launch end-to-end product experiences that help users build and apply AI skills through real work, starting in ChatGPT.\n\nDesign the core systems behind those experiences, including learner state, progress and re-entry, content and runtime integration, experimentation, telemetry, and evaluation\n\nCreate reusable components and internal tools that allow education and content partners to develop, configure, test, and improve learning experiences\n\nBuild and test clear entry points, realistic hands-on practice, useful feedback, telemetry, and evaluation. Use evidence from real use to decide which capabilities for saved context, progress, re-entry, and reuse are needed next.\n\nPartner closely with colleagues across Customer Readiness, EDU Engineering, learning science, research, design, data, content, support, and customer-facing teams. Reuse technical and learning patterns where they help while keeping the experience grounded in professional and enterprise use cases.\n\nWork closely with design and users to turn product and learning goals into clear requirements, prototypes, milestones, reusable UI patterns, and product metrics, then refine the experience through evidence.\n\nDefine the learner intent and problem for each release, then use product data, learner feedback, and operational signals to evaluate product quality, learning, transfer to real work, and adoption against that intent.\n\nMake pragmatic tradeoffs across speed, quality, scalability, and operational simplicity in a 0-to-1 product area.\n\nQualifications:\n\nSubstantial experience building and operating high-quality user-facing products with a record of staff-level technical leadership and hands-on delivery\n\nStrong full-stack engineering skillsance.\n\nExperience building in 0-to-1 or fast-moving product environments where user needs, product shape, and success measures are still evolving.\n\nStrong user empathy and a high bar for product and interaction qualityance.\n\nExperience collaborating across engineering, research, product, design, data, content, operations, and customer-facing teams.\n\nAbility to use qualitative feedback and product data to identify friction, prioritize work, and improve outcomes.\n\nClear written and verbal communication, including the ability to explain technical decisions and tradeoffs to different audiences.\n\nCareful judgment when building products that shape how people understand and use AI.\n\nYou might thrive in this role if:\n\nYou like 0-to-1 product work where the right answer is discovered through shipping, measurement, and iteration.\n\nYou are excited by product surfaces that sit close to real users, real workflows, and measurable user and business outcomes.\n\nYou can move between prototype speed and production-quality engineering without losing sight of the user.\n\nYou enjoy working with non-engineering partners and turning domain expertise into clear product experiences.\n\nYou are energized by education, behavior change, skill development, or helping people gain confidence with new tools.\n\nYou have strong opinions about product craft but can adjust quickly as evidence comes in.\n\nNice to have:\n\n5+ years of professional engineering experience (excluding internships) in relevant roles at tech and product-driven companies\n\nFormer founder, or early engineer at a startup who has built a product from scratch is a plus\n\nExperience building education, edtech, learning, tutoring, coaching, assessment, onboarding, training, or enablement products.\n\nExperience in AI literacy, workforce learning, enterprise enablement, developer education, or similar spaces where users need to build confidence and skill over time.\n\nExperience building AI products, LLM applications, developer tools, agent-assisted workflows, or personalized user experiences.\n\nExperience building customer-facing, revenue, sales, support, or go-to-market systems where product quality and operational feedback loops matter.\n\nExperience translating research into product decisions, experiments, evaluation, measurement, and iteration.\n\nExperience building product surfaces used by both individual users and organizations, including admin, reporting, or support-readiness considerations.\n\nAbout OpenAI\n\nOpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core the full spectrum of humanity.\n\nWe are an equal opportunity employeration, or other applicable legally protected characteristic.\n\nBackground checks for applicants will be administered in accordance with applicable lawation technology systems and related data security obligations.\n\nTo notify OpenAI that you believe this job posting is non-compliant. No response will be provided to inquiries unrelated to job posting compliance.\n\nWe are committed to providing reasonable accommodations to applicants with disabilities.\n\nAt OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.\n\nCompensation\n\n$266K – $385K + Offers Equity","company":"OpenAI","rawCompany":"openai","city":"Millbrae","state":"CA","isRemote":false,"isActive":true,"createdAt":"2026-09-06T08:22:10.039Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1254.00","title":"Web Developers","slug":"web-developers"},{"code":"13-1151.00","title":"Training and Development Specialists","slug":"training-and-development-specialists"}],"industries":[{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Software Engineer, Native Learning Experiences","description":"Applied AI - San Francisco\n\nAbout the Team\n\nCustomer education 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. It brings together learning and enablement expertise, field insight, product signals, and measurement to improve learner and business outcomes.\n\nTogether, these experiences will help enterprise users build practical AI skills, apply them with confidence in their work, and demonstrate what they can do. Employers will gain a clearer view of workforce skills and progress, helping them recognize capability, focus development where it matters most, and build confidence in workforce readiness.\n\nAbout the Role\n\nWe’re looking for a full-stack engineer to define and build a new class of learning experiences. This is an early-stage product area where technical judgment, product sense, and learner empathy are critical. You will be setting a technical vision for how people use AI to learn how to use AI, safely and beneficially.\n\nThis is a hands-on, 0-1 product engineering role with broad technical and product ownership. You’ll set direction, make foundational decisions, and ship the first versions of experiences that can grow into the default way people learn at work. You will drive full-stack product experiences end to end, 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.\n\nYou’ll work closely with our education, GTM, and engineering teams to translate how people learn into products people want to use. bring role- and skill-based learning paths into the product, designing coaching, feedback, and adaptive support which responds to each learner’s goals, context, and progress. You’ll lead focused experiments, measure what helps learners progress and where they struggle, and use that evidence to shape what comes next.\n\nStrong candidates will be product engineers with experience and a strong interest in education, learning science, assessment, behavior change, or AI literacy. You’ll help shape how OpenAI supports structured, adaptive learning in the flow of work, from a learner’s first entry point through practice, feedback, progress, and repeated use.\n\nIn this role, you will:\n\nOwn the vision and execution for OAI’s native learning offering\n\nBuild and launch end-to-end product experiences that help users build and apply AI skills through real work, starting in ChatGPT.\n\nDesign the core systems behind those experiences, including learner state, progress and re-entry, content and runtime integration, experimentation, telemetry, and evaluation\n\nCreate reusable components and internal tools that allow education and content partners to develop, configure, test, and improve learning experiences\n\nBuild and test clear entry points, realistic hands-on practice, useful feedback, telemetry, and evaluation. Use evidence from real use to decide which capabilities for saved context, progress, re-entry, and reuse are needed next.\n\nPartner closely with colleagues across Customer Readiness, EDU Engineering, learning science, research, design, data, content, support, and customer-facing teams. Reuse technical and learning patterns where they help while keeping the experience grounded in professional and enterprise use cases.\n\nWork closely with design and users to turn product and learning goals into clear requirements, prototypes, milestones, reusable UI patterns, and product metrics, then refine the experience through evidence.\n\nDefine the learner intent and problem for each release, then use product data, learner feedback, and operational signals to evaluate product quality, learning, transfer to real work, and adoption against that intent.\n\nMake pragmatic tradeoffs across speed, quality, scalability, and operational simplicity in a 0-to-1 product area.\n\nQualifications:\n\nSubstantial experience building and operating high-quality user-facing products with a record of staff-level technical leadership and hands-on delivery\n\nStrong full-stack engineering skillsance.\n\nExperience building in 0-to-1 or fast-moving product environments where user needs, product shape, and success measures are still evolving.\n\nStrong user empathy and a high bar for product and interaction qualityance.\n\nExperience collaborating across engineering, research, product, design, data, content, operations, and customer-facing teams.\n\nAbility to use qualitative feedback and product data to identify friction, prioritize work, and improve outcomes.\n\nClear written and verbal communication, including the ability to explain technical decisions and tradeoffs to different audiences.\n\nCareful judgment when building products that shape how people understand and use AI.\n\nYou might thrive in this role if:\n\nYou like 0-to-1 product work where the right answer is discovered through shipping, measurement, and iteration.\n\nYou are excited by product surfaces that sit close to real users, real workflows, and measurable user and business outcomes.\n\nYou can move between prototype speed and production-quality engineering without losing sight of the user.\n\nYou enjoy working with non-engineering partners and turning domain expertise into clear product experiences.\n\nYou are energized by education, behavior change, skill development, or helping people gain confidence with new tools.\n\nYou have strong opinions about product craft but can adjust quickly as evidence comes in.\n\nNice to have:\n\n5+ years of professional engineering experience (excluding internships) in relevant roles at tech and product-driven companies\n\nFormer founder, or early engineer at a startup who has built a product from scratch is a plus\n\nExperience building education, edtech, learning, tutoring, coaching, assessment, onboarding, training, or enablement products.\n\nExperience in AI literacy, workforce learning, enterprise enablement, developer education, or similar spaces where users need to build confidence and skill over time.\n\nExperience building AI products, LLM applications, developer tools, agent-assisted workflows, or personalized user experiences.\n\nExperience building customer-facing, revenue, sales, support, or go-to-market systems where product quality and operational feedback loops matter.\n\nExperience translating research into product decisions, experiments, evaluation, measurement, and iteration.\n\nExperience building product surfaces used by both individual users and organizations, including admin, reporting, or support-readiness considerations.\n\nAbout OpenAI\n\nOpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core the full spectrum of humanity.\n\nWe are an equal opportunity employeration, or other applicable legally protected characteristic.\n\nBackground checks for applicants will be administered in accordance with applicable lawation technology systems and related data security obligations.\n\nTo notify OpenAI that you believe this job posting is non-compliant. No response will be provided to inquiries unrelated to job posting compliance.\n\nWe are committed to providing reasonable accommodations to applicants with disabilities.\n\nAt OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.\n\nCompensation\n\n$266K – $385K + Offers Equity","datePosted":"2026-09-06T08:22:10.039Z","dateModified":"2026-09-06T08:22:10.039Z","hiringOrganization":{"@type":"Organization","name":"OpenAI","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Millbrae","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"480dfb21d04bd8d707dc7b87"},"url":"https://jobsearcher.com/jobs/480dfb21d04bd8d707dc7b87"}}