Manager, Software Engineering, Content Automations

Software Engineering Manager

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.

Our culture values inclusion, engagement, and discovery. 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.

What you'll do here:

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

+ Partnering with content teams to analyze current workflows, identify automation opportunities, and design AI-first solutions that improve efficiency and quality.

+ Leading end-to-end delivery of automation initiatives, collaborating with onsite and offshore engineering teams as well as cross-functional partners across the organization.

+ Driving development of AI-powered tools through prototyping (POCs), enhancements, and continuous improvement of existing platforms.

+ Working 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.

+ Leading, coaching, and growing a high-performing engineering team focused on quality, accountability, and continuous improvement.

+ Reimagining and optimizing content creation workflows using modern platforms, automation, and generative AI.

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

+ Tracking quality and efficiency improvements through well instrumented SDLC tools and reporting progress to executive teams.

+ Balancing technical debt and other maintenance activities alongside new feature development within each sprint.

+ Working with partners and customers to establish and handle product backlogs, product estimates, and budgets.

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

Skills You Will Need Here:

Education & Experience

+ 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.

Generative AI & Emerging Technologies

+ 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).

Architecture & Cloud Platforms

+ 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 cloud storage/compute services.

Software Engineering & Product Delivery

+ Proven ability to build secure, resilient, scalable, high-availability enterprise systems for global user bases.

+ Strong experience with agile delivery (Scrum, Kanban, SAFe) and tooling such as Jira or Azure Dev Ops.

+ Proven success organizing teams and delivery around a Product Operating Model.

Collaboration & Communication

+ Demonstrated skills in working with cross-functional teams in…