Manager, Software Engineering

Cengage Group

23h•Remote

About The Position

At Cengage, employees help students worldwide discover the power and joy of learning, driving innovation to improve lives through education. Cengage's portfolio supports student choice, and its culture values inclusion, engagement, and discovery, recognizing diverse perspectives. As the Software Engineering Manager, you will lead a team focused on developing, updating, and optimizing data transformation and delivery scripts using Python and AI tools. You will partner with Content Operations to ensure content delivery schedules support development and product releases, and assist Portfolio teams with issue resolution. Following the Product Operating Model (POM), you will collaborate with product and design teams as a technical lead to improve customer outcomes through stakeholder engagements and data-driven insights. Cengage is a global education technology company serving millions of learners, providing affordable, quality digital products and services that equip students with job-ready skills. For over 100 years, Cengage has enabled learning with trusted content and integrated digital platforms, serving higher education, workforce skills, secondary education, English language teaching, and research markets worldwide. Through scalable technology like MindTap and Cengage Unlimited, it supports learners seeking to improve their lives through education.

Requirements

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, Hugging Face, LangChain).
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.
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 DevOps.
Proven success organizing teams and delivery around a Product Operating Model.
Demonstrated skills in working with cross-functional teams in distributed, remote-first environments.
Ability to clearly communicate complex technical concepts to both technical and non-technical audiences, including executives.

Responsibilities

Developing, updating and optimizing data transformation and delivery scripts, using Python and AI tools (such as Codex)
Partnering with colleagues within Content Operations to ensure content delivery schedules support POM team development achievements and product release
Supporting customers from Portfolio teams as needed with fixing issues
Collaborate with product and design teams in your role as technical lead, following the Product Operating Model (POM), to improve 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 current on emerging technologies and industry trends to inject continuous innovation into our product roadmaps.