The Senior Curriculum Designer will lead the design, development, implementation, and continuous improvement of Code Mantra's Coding, AI, Machine Learning, Robotics, and Emerging Technology programs for K–12 students.

This role requires expertise in both technology and education, with the ability to translate complex technical concepts into age-appropriate, engaging, project-based learning experiences.

The ideal candidate will create complete learning pathways from beginner to advanced levels while ensuring students develop computational thinking, creativity, engineering skills, AI literacy, and problem-solving abilities.

Key Responsibilities

Curriculum Architecture

Design complete K–12 curriculum pathways for

Coding

• Scratch Jr.
• Scratch
• Blockly
• Python
• JavaScript
• HTML/CSS
• Web Development
• App Development
• Game Development
• Data Structures
• Algorithms
• Software Engineering Fundamentals

Artificial Intelligence

• AI Fundamentals
• Responsible AI
• Prompt Engineering
• Generative AI
• Large Language Models
• Computer Vision
• Natural Language Processing
• AI Applications
• AI Ethics & Safety

Machine Learning

• Data Collection
• Data Cleaning
• Data Visualization
• Supervised Learning
• Unsupervised Learning
• Neural Networks
• Deep Learning Fundamentals
• Predictive Modeling
• AI Project Development

Robotics

• Robotics Fundamentals
• Engineering Design Process
• Sensors and Actuators
• Microcontrollers
• Arduino
• Raspberry Pi
• Internet of Things (IoT)
• Autonomous Systems
• Robotics Programming

Learning Experience Design

• Create engaging project-based lessons.
• Develop hands-on activities and challenges.
• Design real-world technology projects.
• Build capstone projects for every level.
• Create innovation challenges and hackathons.
• Design interdisciplinary STEM learning experiences.

Lesson Development

Develop

• Lesson Plans
• Teacher Guides
• Student Workbooks
• Coding Exercises
• Robotics Activities
• AI Experiments
• Assessments
• Quizzes
• Project Rubrics
• Parent Progress Reports

AI Curriculum Leadership

• Design age-appropriate AI education programs.
• Create AI literacy frameworks for K–12 students.
• Develop ethical AI modules.
• Build responsible technology usage guidelines.
• Integrate AI tools into learning experiences.
• Continuously update curriculum based on AI advancements.

Robotics Program Development

• Design robotics learning pathways.
• Create robotics challenges and competitions.
• Develop hardware integration activities.
• Build engineering-focused project frameworks.
• Design robotics assessment systems.

Assessment & Evaluation

Create

• Diagnostic Assessments
• Formative Assessments
• Summative Assessments
• Project-Based Evaluations
• Skill Mastery Frameworks
• Competency Tracking Systems

Standards & Quality Assurance

• Align curriculum with international STEM standards.
• Maintain curriculum consistency across grade levels.
• Ensure technical accuracy of all content.
• Review curriculum effectiveness using student performance data.
• Continuously improving curriculum quality.

Innovation & Research

• Stay current with emerging technologies.
• Research AI, robotics, and coding education trends.
• Evaluate new educational technologies.
• Recommend future curriculum improvements.
• Build future-ready learning pathways.

Teacher Training & Support

• Train instructors on curriculum delivery.
• Conduct teacher workshops.
• Create instructional best practices.
• Develop classroom management strategies for technical subjects.
• Provide ongoing academic support to teaching staff.

Education: Bachelor's degree in computer science, Software Engineering, Artificial Intelligence, Robotics Engineering, STEM Education, Curriculum Design, or a related field. A Master's degree in a relevant discipline will be an added advantage.

Experience

• Minimum 5 years of teaching coding or STEM subjects.
• Minimum 3 years curriculum design experience.
• Experience teaching K–12 students.
• Experience developing online learning content.
• Experience with project-based learning.

Technical Expertise

Programming

• Python
• JavaScript
• Scratch
• Web Development

Artificial Intelligence

• Generative AI
• Prompt Engineering
• Machine Learning Fundamentals
• AI Applications

Robotics

• Arduino
• Raspberry Pi
• Robotics Programming
• Sensors & Electronics

Educational Technology

• Learning Management Systems
• Google Workspace
• Online Learning Platforms
• Educational Software

Preferred Experience

• Experience in EdTech companies.
• Experience creating AI curriculum.
• Robotics competition experience.
• Experience with coding competitions.
• STEM education leadership experience.
• Experience building curriculum for online learning companies.

Core Competencies

Technical Excellence

• Strong software development knowledge.
• AI and machine learning expertise.
• Robotics engineering fundamentals.

Curriculum Design

• Learning science knowledge.
• Instructional design expertise.
• Assessment of design capability.

Leadership

• Ownership mentality.
• Project management.
• Cross-functional collaboration.

Communication

• Exceptional writing skills.
• Teacher coaching ability.
• Curriculum presentation skills.

Key Performance Indicators (KPIs)

Curriculum Development

• Courses developed per quarter
• Lessons developed per month
• Projects created per grade level

Student Outcomes

• Student completion rates
• Skill mastery rates
• Student engagement scores
• Parent satisfaction scores

Teacher Success

• Teacher adoption rates
• Curriculum implementation quality
• Teacher satisfaction scores

Innovation

• New AI modules launched
• Robotics programs developed
• Curriculum updates completed
• Emerging technology integrations

What Success Looks Like After 12 Months

The successful candidate will have

• Built a complete K–12 Coding pathway.
• Built a complete K–12 AI curriculum.
• Built a complete K–12 Robotics curriculum.
• Created 500+ project-based lessons.
• Designed 100+ real-world technology projects.
• Established Code Mantra as a premier AI, Coding, and Robotics education provider.
• Created future-ready learning pathways that prepare students for careers in technology, engineering, AI, and entrepreneurship.