Manager, Software Engineering, Content Automations

Cengage; New York (NY); Hybrid; USD 101,900 - 140,000; Full time

Benefits offered by this job

Compensation bonuses

Total Rewards package

Job summary

Cengage in New York is seeking a Technology Leader to drive AI automation initiatives and lead a high-performing engineering team. This role involves collaborating with cross-functional teams to enhance workflows and deliver scalable solutions.

The ideal candidate will have a strong background in AI concepts and experience in cloud-native platforms. A passion for innovation and the ability to communicate complex technical concepts clearly is essential. This position offers a competitive salary and bonus potential.

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Qualifications

• 3+ years of technology leadership experience.
• Hands-on experience with GenAI technologies.
• Comfortable designing cloud-native solutions.

Responsibilities

• Lead automation initiatives with cross-functional teams.
• Drive development of AI-powered tools.
• Track improvements through SDLC tools.

Skills

Leadership

AI Concepts

Software Engineering

Cloud Platforms

Collaboration

Education

Bachelor’s degree in Computer Science

Tools

Jira

Azure DevOps

Job description

Responsibilities

• 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.
• Collaborate with product and design teams as technical lead, focusing 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 emerging technologies and industry trends to inject continuous innovation into product roadmaps.

Qualifications and Requirements

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 and multimodal models, prompt and context engineering, skills and 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.

Equal Opportunity Employer

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 [e-mail].

Compensation & Benefits

Compensation: Base salary range and possible incentive bonuses. The full base pay range is provided for this position. Individual base pay will vary based on work schedule, qualifications, experience, internal equity, and geographic location. This position, you will be eligible to participate in the company’s discretionary incentive bonus program. Bonus target: 15% annual. Individual Target $101,900.00 – $140,000.00 USD.

Total Rewards package designed to support and empower employees. For more information, refer to the company’s Total Rewards Philosophy.