Curriculum Manager - Cloud

About the role

This is an individual contributor role. You will collaborate with subject matter experts and leverage in-house-built cutting-edge AI tooling to scale high-quality course creation across cloud platforms (AWS, Azure, GCP) and cloud-adjacent topics such as DevOps, infrastructure-as-code, MLOps, and cloud data engineering.

Responsibilities

• Manage the entire content development lifecycle and deadlines.
• Source and recruit top-tier subject-matter experts as instructors.
• Collaborate with instructors to create engaging content.
• Consistently leverage AI tools like Claude Code, Cursor, and more to drive high-quality content production at scale.
• Design, review, and create content on Cloud platforms, cloud architecture, DevOps, cloud data engineering, and related topics.
• Review content from a learner perspective, ensuring it is technically accurate and pedagogically effective.
• Continuously assess course performance using learner feedback and engagement data to drive improvements.
• Identify and prioritize existing curriculum gaps or new topics in DataCamp's cloud curriculum.

Requirements

• A solid hands-on background working with one or more major cloud platforms (AWS, Azure, or GCP).
• Relevant cloud certifications (e.g. AWS Solutions Architect, Google Professional Cloud Architect, Azure Administrator) are a strong plus.
• Broad cloud fluency spanning infrastructure, storage, compute, networking, and managed services, with additional depth in at least one area such as cloud data engineering, MLOps, serverless, or DevOps/IaC.
• A solid technical background in Python and/or SQL, with comfort working in cloud-native tooling and CLI environments.
• An intuitive understanding of instructional design, with proven ability to structure and teach technical concepts clearly.
• A graduate degree (Master's or PhD) in Computer Science, Cloud Computing, Software Engineering, or a related STEM field—or equivalent industry experience.
• A strong technical background in AI systems and workflows.

Qualifications

• A deep understanding of the DataCamp course format—intuitive understanding of what makes a great DataCamp course.
• An existing network of potential subject matter experts who can become DataCamp instructors.
• An extensive track record of building sophisticated AI systems and workflows.

Skills

• Agentic coding systems such as Claude Code, Cursor, and Replit.

Benefits

• Empower everyone to learn data and AI skills.
• Global community of expert instructors.
• World-class learning and hands-on training.

Pay

TBD

Schedule

TBD

Benefits

• Flexible work arrangements.
• Competitive compensation package.
• Professional development opportunities.
• Health and wellness benefits.