Technical Curriculum Developer III, Cloud Learning Services

$129,000 - $191,000/Yr

Google - Austin, TX

Full-time - Mid Level

Austin, TX

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About the position

The Technical Curriculum Developer III role at Google focuses on designing, developing, and maintaining technical learning content and curricula for various cloud roles, including ML Engineers, Data Scientists, Data Engineers, and Developers. The position emphasizes collaboration with technical subject matter experts to create effective training materials that enhance the learning experience for Googlers. The role is part of the PeopleDev team, which is dedicated to empowering employees through innovative learning solutions.

Responsibilities

• Design and develop creative, learner-centered training content for on-demand, instructor-led, and blended training.
• Build associated assets including labs, videos, facilitator guides, and other resources.
• Analyze Google Cloud Data solutions and products to develop effective training for customers.
• Collaborate effectively with Engineers, Portfolio Managers, and other partners to support initiatives.
• Ensure and drive best practices standardization across all projects, content, and curricula.
• Perform needs and task analysis, scope projects, and evaluate existing documentation to identify appropriate training approaches.

Requirements

• Bachelor's degree in Computer Science, Mathematics, or Information Architecture, or equivalent practical experience.
• 5 years of experience in Cloud Data or related discipline.
• 2 years of experience as a technical instructor or in technical training curriculum development.
• 2 years of experience with cloud computing technologies.
• Excellent communication, writing, and editing skills within learning content.

Nice-to-haves

• Associate or professional certification in Cloud ML Engineer or Cloud Architect.
• Experience creating and managing learning by collaborating with highly technical subject matter experts.
• Experience coding in Python, using data science libraries (e.g., NumPy, Pandas, etc.) and creating Jupyter notebooks.
• Experience building and managing ML pipelines.

Benefits

• Health insurance
• 401k
• Paid holidays
• Flexible scheduling
• Professional development opportunities