Cengage
Posted 41 days agoVerified live 1d ago
Tech Lead/Manager, Software Engineering
Brief overview
Remote
UndergradOr in progress
$102k–$133k/yrStated range
3+ yrsMinimum
36 H-1B approvalsDept. of Labor
8 green cardsCertified filings
Technology leadershipGenerative AIMachine learningLarge language modelsMultimodal modelsPrompt engineeringAI agentsRetrieval augmented generationVector databasesOpenAIHugging FaceLangChainArchitecture modernizationCloud-native platformsHybrid cloud strategiesAPI designAWS
About the company
Cengagecengagegroup.com
A global education technology company delivering digital learning products and services.
Visa sponsorship history
4 years sponsoring, last filed FY2026
Data powered by U.S. Department of Labor. This does not guarantee sponsorship for this specific role.36H-1B approved
95%approval rate
6new H-1B hires
8PERM certified
$131,318median wage / yr
H-1B Petition ApprovalsVisas USCIS actually granted: the strongest sign the company sponsors.
202314
20249
20259
20264
LCA Certified ApplicationsAn early filing step, not a visa approval: it signals intent, not confirmed sponsorship.
20236
20242
20251
20262
Green Card (PERM) FilingsCertified green card filings: a long-term commitment to international hires.
20232
20244
20252
Top sponsored roles
Software Development Engineer in TestData ScientistSenior Software Quality Assurance EngineerSenior User Experience DesignerSAP Development Lead
Sponsored employees from
IndiaPakistan
Job description
Summary
Cengage is a global education technology company dedicated to providing affordable, quality digital products and services to learners. As a Software Engineering Manager, you will lead a team focused on delivering innovative tools for Cengage Learning Platforms while ensuring quality and accessibility through collaboration with product and design teams.
Responsibilities
- Lead, coach, and grow a high-performing engineering team focused on quality, accountability, and continuous improvement
- Reimagine and optimize software delivery processes using modern tools, 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 in front of emerging technologies and industry trends to inject continuous innovation into our product roadmaps
Skills
- 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
- Working knowledge of AI concepts, including machine learning, LLMs, multimodal models, prompt engineering, AI agents, 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 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 solutions on AWS, GCP, or Azure, including 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
- Demonstrated success organizing teams and delivery around a Product Operating Model
- Strong cross-functional collaboration skills in distributed, remote-first environments
- Ability to clearly communicate complex technical concepts to both technical and non-technical audiences, including executives
Qualifications
Must Haves
- 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
- Working knowledge of AI concepts, including machine learning, LLMs, multimodal models, prompt engineering, AI agents, 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 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 solutions on AWS, GCP, or Azure, including 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
- Demonstrated success organizing teams and delivery around a Product Operating Model
- Strong cross-functional collaboration skills in distributed, remote-first environments
- Ability to clearly communicate complex technical concepts to both technical and non-technical audiences, including executives
Benefits
- Discretionary incentive bonus program
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