Remote Engineering Manager – EdTech & AI Platform

Cengage Group

Atlanta (GA)

On-site

USD 117,100 - 187,300

Full time

14 days+

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Job summary

Cengage Group is seeking an Engineering Manager / Technology Lead to guide School-focused digital learning platforms. You will lead remote software engineering teams using Agile methods to deliver high-availability education technology products.

Partner with product and design, drive data-driven improvements, and own customer outcomes across a global, multi-time-zone workforce. The role emphasizes strategic architecture, GenAI readiness, modernizing monoliths, and building scalable, secure

Qualifications

  • 5+ years of leadership experience in tech
  • Experience leading global teams across time zones
  • Experience modernizing architectures and cloud strategies
  • Proven track record in scalable, high‑availability enterprise systems

Responsibilities

  • Apply Agile methods to drive iterative development and time‑to‑market.
  • Define user stories, backlog, and high‑quality releases.
  • Act as player/coach, owning solution implementation.
  • Collaborate with product and design teams across the organization.
  • Monitor product performance and incorporate user feedback.
  • Design and deliver features for scalable platforms.
  • Ensure 24/7 reliability of our platforms.
  • Lead through data-driven decision making.

Skills

Leadership experience
Global team leadership
Monolithic modernization
AWS & cloud native
Kubernetes & Docker
CI/CD pipelines
Agile methodologies
Jira / Azure DevOps
GenAI concepts

Tools

Terraform
AWS CDK
CloudFormation
OpenAI API

Job description

Cengage Group is seeking an Engineering Manager / Technology Lead to guide School-focused digital learning platforms. You will lead remote software engineering teams using Agile methods to deliver high-availability education technology products.

Partner with product and design, drive data-driven improvements, and own customer outcomes across a global, multi-time-zone workforce. The role emphasizes strategic architecture, GenAI readiness, modernizing monoliths, and building scalable, secure

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