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Manager, Software Engineering, Content Automations at Cengage Learning Inc. · Katori

Asks for

The ad says“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.”
The ad says“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.”
The ad says“Ability to design and develop APIs that integrate legacy systems with modern solutions.”
The ad says“Comfortable designing and deploying cloud native solutions on AWS, GCP, or Azure, using containers, serverless, and cloud storage/compute services.”
The ad says“Comfortable designing and deploying cloud native solutions on AWS, GCP, or Azure, using containers, serverless, and cloud storage/compute services.”
The ad says“Strong experience with agile delivery (Scrum, Kanban, SAFe) and tooling such as Jira or Azure DevOps”
The ad says“Experience in maintaining and/or modernizing legacy or monolithic architectures, migrating systems to modular, cloud-native platforms, and implementing hybrid cloud strategies.”
The ad says“Comfortable designing and deploying cloud native solutions on AWS, GCP, or Azure, using containers, serverless, and cloud storage/compute services.”
The ad says“Comfortable designing and deploying cloud native solutions on AWS, GCP, or Azure, using containers, serverless, and cloud storage/compute services.”
The ad says“Hands-on experience integrating or experimenting with commercial and open-source GenAI technologies and toolkits (e.g., coding assistants, OpenAI CODEX, LangChain).”
The ad says“Strong experience with agile delivery (Scrum, Kanban, SAFe) and tooling such as Jira or Azure DevOps”
The ad says“Strong experience with agile delivery (Scrum, Kanban, SAFe) and tooling such as Jira or Azure DevOps”
The ad says“Hands-on experience integrating or experimenting with commercial and open-source GenAI technologies and toolkits (e.g., coding assistants, OpenAI CODEX, LangChain).”
The ad says“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.”
The ad says“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.”
The ad says“Hands-on experience integrating or experimenting with commercial and open-source GenAI technologies and toolkits (e.g., coding assistants, OpenAI CODEX, LangChain).”
The ad says“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.”
The ad says“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.”
The ad says“Strong experience with agile delivery (Scrum, Kanban, SAFe) and tooling such as Jira or Azure DevOps”
The ad says“Strong experience with agile delivery (Scrum, Kanban, SAFe) and tooling such as Jira or Azure DevOps”
The ad says“Comfortable designing and deploying cloud native solutions on AWS, GCP, or Azure, using containers, serverless, and cloud storage/compute services.”
The ad says“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.”

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 manage and lead all aspects of a team dedicated to:

Partner with content teams to analyze current workflows, identify automation opportunities, and design AI-first solutions that improve efficiency and quality.
Lead end-to-end delivery of automation initiatives, collaborating with onsite and offshore engineering teams as well as cross-functional partners across the organization.
Drive development of AI-powered tools through prototyping (POCs), enhancements, and continuous improvement of existing platforms.
Work closely with Product Managers and business partners to deliver innovative, scalable solutions while ensuring alignment to engineering guidelines in developing, implementation, and operations.

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 ahead of 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 CODEX, 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 accommodations.ta@cengage.com.

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 - $163,000.00 USD