Jobs at Chegg, Inc.

Facilitates live digital marketing lessons, mentors and supports students, grades assignments, provides actionable feedback, reviews content quality, contributes to curriculum improvements, researches emerging tools, and supports grading operations and team onboarding.

Build and own frontend features for student- and educator-facing web applications using React, Next.js, TypeScript, and GraphQL. Responsibilities include component architecture, API integration, testing, performance optimization, accessibility, security, production monitoring, and staged delivery. The engineer will also contribute to AI-powered learning experiences, shared components, observability, and backend/API changes as needed, while collaborating with Product, Design, Backend, and Content Operations.

Build and own frontend features for Chegg’s student-facing web applications using React, Next.js, TypeScript, and GraphQL. Responsibilities include architecture, testing, staged releases, production monitoring, performance optimization, secure authentication, and cross-stack debugging. The role also contributes to AI-powered study experiences, client-state management, shared components, API and schema changes, and backend or AWS infrastructure work as needed.

Delivers live instruction, tutoring, QA reviews, and learner feedback for a Technical Project Management program. Teaches project lifecycles, Agile and traditional methodologies, software delivery, technical concepts, tools, risk management, metrics, and governance. Mentors newly onboarded experts, evaluates academic content, supports learner engagement, contributes to curriculum improvements, and collaborates with academic teams to improve delivery quality and learner outcomes.

Build and own end-to-end evaluation frameworks for LLMs and multi-step AI agents, including benchmarks, automated and human-in-the-loop evaluators, golden datasets, regression suites, production monitoring, and quality dashboards. Partner with research, product, Trust & Safety, and legal teams to define rigorous metrics and translate evaluation results into training and deployment decisions. Mentor engineers and establish evaluation best practices.