Learning Experience Engineer: AI-Driven Skill Builder

LearnVector; Mountain View (CA); On-site; USD 150,000 - 210,000; Full time

Job summary

LearnVector in Mountain View, CA seeks a pedagogy-focused professional to design scalable learning experiences and translate instructional principles into AI-driven product features.

You will work at the intersection of teaching and engineering, shaping how feedback, explanations, and assessments accelerate skill development for real learners. Collaboration with Andrew Ng and the founding team is expected.

Qualifications

• Real teaching experience across classrooms, corporate training, or course creation.
• Deep knowledge of instructional design and learning-science fundamentals.
• Ability to create interactive, applied learning experiences with evidence of impact.

Responsibilities

• Design learning experiences—practice tasks, explanations, feedback, assessments—grounded in how people acquire skills and build them into the product.
• Translate pedagogy into specifications AI systems can execute: what a good lesson does, what a good feedback message contains, what a learner should produce and how it's judged.
• Set and hold the quality bar for AI-generated teaching content; define what "good" means mechanically and build checks to enforce it without a human in every loop.
• Prototype quickly with AI tools—build working learning experiences yourself, not hand off requirements docs.
• Work with learners directly: watch sessions, run pilots, and turn observations into iterations.
• Collaborate with the founding team on what good teaching looks like in this product.

Skills

Teaching experience

Instructional design

Learning-science fundamentals

Strong writing

AI tooling literacy

Tools

AI tools

Job description

LearnVector in Mountain View, CA seeks a pedagogy-focused professional to design scalable learning experiences and translate instructional principles into AI-driven product features.

You will work at the intersection of teaching and engineering, shaping how feedback, explanations, and assessments accelerate skill development for real learners. Collaboration with Andrew Ng and the founding team is expected.