Manager, Software Engineering, Content Automations

We believe in the power and joy of learning

At Cengage, our employees have a direct impact in helping students around the world discover the power and joy of learning. We are bonded by our shared purpose – driving innovation that helps millions of learners improve their lives and achieve their dreams through education.

Cengage's portfolio of businesses supports student choice by providing a range of pathways that help learners achieve their goals and lead a choice-filled life.

Our culture values inclusion, engagement, and discovery

Our business is driven by our strong culture, and we know that creating an inclusive workplace is absolutely essential to the success of our company and our learners, as well as our individual well‑being. We recognize the value of diverse perspectives in everything we do, and strive to ensure employees of all levels and backgrounds feel empowered to voice their ideas and bring their authentic selves to work.

We achieve these priorities through programs, benefits, and initiatives that are integrated into the fabric of how we work every day. To learn more, please see  .

As the Software Engineering Manager, you will manage and lead all aspects of a team dedicated to:

• Partner with content teams to analyze current workflows, identify automation opportunities, and design AI‑first solutions that improve efficiency and quality.

• Lead end‑to‑end delivery of automation initiatives, collaborating with onsite and offshore engineering teams as well as cross‑functional partners across the organization.

• Drive development of AI‑powered tools through prototyping (POCs), enhancements, and continuous improvement of existing platforms.

• Work closely with Product Managers and business partners to deliver innovative, scalable solutions while ensuring alignment to engineering guidelines in developing, implementation, and operations.

Following the Product Operating Model (POM), you will collaborate with product and design teams in your role as technical lead. Together you will focus on improving customer outcomes through frequent stakeholder engagements and data‑driven insights.

• Lead, coach, and grow a high‑performing engineering team focused on quality, accountability, and continuous improvement.

• Reimagine and optimize content creation workflows using modern platforms, automation, and generative AI.

• Engage in driving POM Discovery activities including continuous customer engagement, both internal and external, to derive solutions that meet end user, company, and technology goals.

• Track quality and efficiency improvements through well instrumented SDLC tools and report progress to executive teams.

• Balance technical debt and other maintenance activities alongside new feature development within each sprint.

• Work with partners and customers to establish and handle product backlogs, product estimates and budgets.

• Stay ahead of emerging technologies and industry trends to inject continuous innovation into our product roadmaps.

• Bachelor’s degree in Computer Science or a related field, or an equivalent combination of education and recent, relevant work experience.

• 3+ years of technology leadership experience, including developing technology strategies, fostering innovation, and leading globally distributed teams.

• Solid understanding of AI concepts, technologies and methods, including machine learning, Language, Reasoning & multimodal models, prompt & context engineering, developing and using skills & agent frameworks, RAG, and vector databases.

• Hands‑on experience integrating or experimenting with commercial and open‑source GenAI technologies and toolkits (e.g., coding assistants, OpenAI CODEX, Lang Chain).

• Experience in maintaining and/or modernizing legacy or monolithic architectures, migrating systems to modular, cloud‑native platforms, and implementing hybrid cloud strategies.

• Ability to design and develop APIs that integrate legacy systems with modern solutions.

• Comfortable designing and deploying cloud native solutions on AWS, GCP, or Azure, using containers, serverless, and…