Cengage Group Logo

Cengage Group

Manager, Software Engineering

Reposted 12 Days Ago
Remote
Hiring Remotely in United States
102K-140K Annually
Mid level
Remote
Hiring Remotely in United States
102K-140K Annually
Mid level
The Software Engineering Manager will lead and optimize data transformation projects using AI, collaborate with various teams, and ensure project delivery while balancing technical debt and new features.
The summary above was generated by AI

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 https://www.cengagegroup.com/about/inclusion-and-belonging/.  

What you'll do here:

As the Software Engineering Manager, you will lead a team dedicated to :

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

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.  

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, Hugging Face, LangChain).

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 DevOps

  • Proven success organizing teams and delivery around a Product Operating Model

Collaboration & Communication

  • 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.

Cengage is committed to working with broad talent pools to attract and hire strong and most qualified individuals. Our job applicants are considered regardless of any classification protected by applicable federal, state, provincial or local laws.  

Cengage is also committed to providing reasonable accommodations for qualified individuals with disabilities including during our job application process. If you are an applicant with a disability and require reasonable accommodation in our job application process, please contact us at [email protected].  

About Cengage

Cengage, a global education technology company serving millions of learners, provides affordable, quality digital products and services that equip students with the skills and competencies needed to be job ready. For more than 100 years, we have enabled the power and joy of learning with trusted, engaging content, and now, integrated digital platforms. We serve the higher education, workforce skills, secondary education, English language teaching and research markets worldwide. Through our scalable technology, including MindTap and Cengage Unlimited, we support all learners who seek to improve their lives and achieve their dreams through education.  

  

Compensation

At Cengage Group, we take great pride in our commitment to providing a comprehensive and rewarding Total Rewards package designed to support and empower our employees. Click here to learn more about our Total Rewards Philosophy.

The full base pay range has been provided for this position. Individual base pay will vary based on work schedule, qualifications, experience, internal equity, and geographic location.  Sales roles often incorporate a significant incentive compensation program beyond this base pay range.

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.  

15% Annual: Individual Target
$101,900.00 - $140,000.00 USD

Similar Jobs

9 Hours Ago
Easy Apply
Remote
United States
Easy Apply
204K-290K Annually
Senior level
204K-290K Annually
Senior level
Big Data • Fintech • Mobile • Payments • Financial Services
Lead a Reliability Platform Engineering team to build operational intelligence, observability, and AI-driven tooling that improves production availability, resiliency, and operational governance. Partner with Platform, SRE, Infrastructure, and Product teams to define reliability standards, prioritize investments, and deliver scalable reliability and automation solutions.
Top Skills: AIJavaKotlinObservabilityPython
3 Days Ago
Remote or Hybrid
USA
Expert/Leader
Expert/Leader
Machine Learning • Payments • Security • Software • Financial Services
Senior technical leader responsible for architecture, execution, and platform health of Adobe Marketing platforms across ~6 cross-functional crews. Drive scalable, secure, cloud-native solutions, enforce engineering rigor (CI/CD, API-first, event-driven), manage dependencies, mentor engineers, align delivery to marketing outcomes, and partner with enterprise architecture, security, product, and business stakeholders.
Top Skills: Adobe AssetsAdobe Journey OptimizerAemAep/Rt CdpAPIsCi/CdCloud PlatformsCloud-Native PatternsEvent StreamingEvent-Driven IntegrationsIntegration PatternsPerformance OptimizationReal-Time DecisioningWeb ArchitecturesWorkfront
7 Days Ago
Remote or Hybrid
Santa Clara, CA, USA
167K-291K Annually
Senior level
167K-291K Annually
Senior level
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Lead and manage a development team building and optimizing ITSM modules on the ServiceNow platform. Oversee product development, collaborate with product/design/support/dev teams, mentor engineers, integrate AI into workflows, prioritize and execute projects, and solve complex technical problems while staffing and maintaining engineering quality.
Top Skills: AgileAIAngularC++ItilItsmJavaJavaScriptOpen SourceReactRubySaaSServicenowShell

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account