Cengage Learning

Manager, Software Engineering

Cengage Learning$101K — $140K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in computer science or a related field, or equivalent experience.
  • 3+ years of technology leadership experience with globally distributed teams.
  • Solid understanding of AI technologies and methods including machine learning and prompt engineering.
  • Hands-on experience with commercially used GenAI technologies and toolkits.
  • Experience in modernizing architectures and deploying cloud-native solutions.

Responsibilities

  • Lead and develop a high-performing engineering team focused on quality and improvement.
  • Reimagine and optimize content creation workflows through automation and generative AI.
  • Engage in POM Discovery activities for continuous customer interaction and solution derivation.
  • Track and report quality and efficiency improvements using SDLC tools.
  • Balance technical debt and feature development within sprints.
  • Manage product backlogs, estimates, and budgets with partners and customers.
  • Stay updated on emerging technologies to drive product innovation.

Benefits

  • Participate in the company's discretionary incentive bonus program.
  • Access to a comprehensive Total Rewards package designed to support employees.
Full Job Description
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.


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

About Cengage Learning

Cengage is an American educational content, technology, and services company for the higher education, K-12, professional, and library markets. It operates in more than 20 countries around the world. The company provides print and digital textbooks, instructor supplements, online reference databases, distance learning courses, test preparation materials, corporate training courses, career assessment tools, and other educational materials. Cengage was founded in 2007 as a merger between Thomson Learning and Gale. In 2018, the company filed for bankruptcy and emerged with a new ownership structure. Cengage has approximately 5,000 employees and generates over $1.5 billion in annual revenue.
Learn more about Cengage Learning
Size
5,000 employees
Industry
Founded
1994

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