Why This Job is Featured on The SaaS Jobs
Why this Role is Featured on The SaaS Jobs
Learning has become a core product surface in modern SaaS, and this role sits where platform engineering meets measurable user outcomes. OpenAI’s Education team is framing learning features as first-class systems, with instrumentation, feedback loops, and adaptive behavior designed to operate at global scale. That combination of AI-native product thinking and durable backend architecture reflects a broader shift in SaaS from static content delivery to continuous, data-informed capability building.
For a SaaS career, the work maps to several transferable arenas: building domain models that persist over time, designing analytics pipelines that inform product decisions, and turning qualitative goals into reliable services. Experience with progress tracking, assessment primitives, and experimentation-friendly infrastructure tends to translate well to other SaaS categories that depend on lifecycle engagement, such as developer tools, customer education, and productivity platforms. The cross-functional interface with research and product also mirrors how advanced SaaS teams ship novel capabilities without sacrificing operational rigor.
The section above is editorial commentary from The SaaS Jobs, provided to help SaaS professionals understand the role in a broader industry context.
Job Description
About the Team
The Education team at OpenAI is building systems that help make ChatGPT a highly effective learning partner. As AI progress continues to accelerate, our goal is to design learning capabilities that help individuals, developers, educators, and organizations move from curiosity to mastery with the help of AI tools.
This team works at the intersection of AI systems, learning science, and large-scale platforms to build the infrastructure for AI-native learning experiences globally.
About the Role
OpenAI is seeking a Learning Systems Engineer to help build the infrastructure behind AI-native learning experiences. This role sits at the intersection of backend systems, learning science, research, and product.
You will translate pedagogical goals into production systems: learner models, progress tracking, adaptive feedback loops, formative assessments, and analytics to measure whether people are actually learning.
Your work will help ensure that millions of people around the world can learn effectively and build real capability with AI.
What You'll Work On
Build AI-Native Learning Infrastructure: Develop core systems for AI education, including dynamic experiences, progress tracking, and assessments.
Enable Adaptive Learning: Develop capabilities that allow learning experiences to dynamically adapt to learners’ knowledge, goals, and behaviors over time.
Design Data Systems for Insights: Build data pipelines and analytics systems to help educators understand learner outcomes, engagement patterns, and skill development.
Empower Educators: Build systems that allow non-engineers to design, configure, and experiment with learning experiences without requiring direct engineering support.
What Success Looks Like in the First 12 Months
Help launch new AI learning experiences that reach a broad set of learners.
Refine infrastructure that allows educators to deliver adaptive learning and assessments.
Validate the learning analytics pipeline to provide deeper insights into AI driven learning.
Empower education teams to use AI tools to build and iterate at scale.
Core Qualifications
5–10+ years of experience in software, data, or learning engineering.
Experience building data systems or infrastructure that support education & training.
Experience working with learning data, analytics pipelines, or educational metrics.
Comfort translating learning or pedagogical goals into technical systems.
Strong Additional Qualifications
Background in learning science, instructional design, or education research.
Experience building LMS platforms or training infrastructure.
Experience with learning analytics, learner data models, or educational measurement.
Experience building systems that incorporate AI models into educational workflows.
Experience with credentialing, certification systems, or competency frameworks.
Experience building platforms used by non-technical educators or curriculum teams.
Relevant Backgrounds
Education technology engineering.
Learning analytics or educational data systems.
Instructional technology platforms.
Training platforms for technical products.
AI tutoring systems or adaptive learning platforms.
Why This Role Matters
AI will fundamentally transform how people learn, work, and create. This role is essential for building the systems that ensure the benefits of AI are accessible to all, enabling learners worldwide to develop meaningful capability with this foundational technology.
About OpenAI
OpenAI 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, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.
Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
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