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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Tech Lead/Manager, Software Engineering - **Company:** Cengage Group - **Location:** Philadelphia, PA, United States - **Experience:** Expert - **Salary:** $101,900.0 - $163,000.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Data Analysis, JIRA, Microsoft Azure, Cloud Computing, Cloud Storage, Machine Learning, Open Source Technology, Scrum Methodology, Systems Development Life Cycle, Software Engineering, Systems Integration, Cloud Platform System, Large Language Models, Prompt Engineering, Technical Debt, Generative AI, HybridCloud, Information Technology, HuggingFace, Serverless Computing, Legacy Systems - **Published:** July 12, 2026 - **Apply:** https://www.juju.com/job/00000000gfnp54 ## About the Role + 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 + 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). Architecture & Cloud Platforms + 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. 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 DevOps + Demonstrated success organizing teams and delivery around a Product Operating Model Collaboration & Communication + 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. ## Description As the Software Engineering Manager, you will lead a team dedicated to creating tools to deliver world-class content for our Cengage Learning Platforms (CLP). Working closely with internal partners, you will define and implement an innovative, AI-first roadmap ensuring content quality and accessibility remain a primary focus. 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 current on emerging technologies and industry trends to inject continuous innovation into our product roadmaps., In this position, you will be eligible to participate in the company's discretionary incentive bonus program. This position's bonus target amount, which is not guaranteed and is dependent on individual performance and overall company results among other factors, is provided below. ## Related Videos - [Improving quality with Agentic AI with Rovo Dev and Xray](https://www.wearedevelopers.com/videos/2005-improving-quality-with-agentic-ai-with-rovo-dev-and-xray) - [The Future of Developer Experience with GenAI: Driving Engineering Excellence](https://www.wearedevelopers.com/videos/1107-the-future-of-developer-experience-with-genai-driving-engineering-excellence) - [Collaboration Quantified: Lessons from Open Source Developer Networks](https://www.wearedevelopers.com/videos/1422-collaboration-quantified-lessons-from-open-source-developer-networks) - [Building Products in the era of GenAI](https://www.wearedevelopers.com/videos/827-building-products-in-the-era-of-genai) - [The Software Engineer 2030: From Coder To AI Orchestrator? - Patrick Schnell](https://www.wearedevelopers.com/videos/1825-the-software-engineer-2030-from-coder-to-ai-orchestrator-patrick-schnell) - [Integrate your Cognitive Assistant with 3rd-party DBs and software](https://www.wearedevelopers.com/videos/249-integrate-your-cognitive-assistant-with-3rd-party-dbs-and-software) ## Related Articles - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [What is Agentic Programming and Why Should Developers Care?](https://www.wearedevelopers.com/magazine/625-what-is-agentic-programming-and-why-should-developers-care) - [What is Software Engineering in the Age of AI?](https://www.wearedevelopers.com/magazine/640-what-is-software-engineering-in-the-age-of-ai) - [Got AI ideas but no money? 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