Job Description
Job description
The Product Head – AI & Emerging Technologies will be responsible for designing, developing, and leading an advanced AI-based academic program (Kids-to-Masters level). The role demands strong technical expertise in AI/ML, deep academic knowledge, and hands-on experience in instructional design. The candidate should blend academic leadership with modern AI skills to drive an innovative, future-focused curriculum.
The ideal candidate will collaborate with academic and marketing teams, create structured learning pathways, ensure high-quality content delivery, and guide instructors and learners across different levels of expertise.
Essential Academic Qualifications
- Master’s (preferred) or Ph.D. in:
- Computer Science
- Artificial Intelligence
- Machine Learning
- Data Science
- Or related fields from a recognized university
- Bachelor’s degree in Engineering/Mathematics with strong AI/ML certifications may also be accepted with proven experience.
Technical & Pedagogical Certifications
- AI/ML practitioner certifications such as:
- TensorFlow Developer
- AWS Machine Learning
- Google AI, Coursera Deep Learning, IISc Agentic AI
- Pedagogical/teaching certifications like:
- B.Ed / M.Ed
- Instructional Design Certification
- UNESCO AI competency or similar frameworks training
Experience Requirements
Total Experience Required: 5–8 years
- AI Technical Experience: 2–3 years
- ML model building
- Data pipelines
- Generative AI tools
- AI application development
- Curriculum development or academic leadership experience preferred.
Key Responsibilities
1. Program Development & Leadership
- Design and develop a structured AI and Data Science curriculum from foundational to advanced levels.
- Lead academic planning, course mapping, and learning outcomes based on global AI learning frameworks.
- Create learning pathways suitable for school students, graduates, and professionals.
2. Technical Content Creation
- Develop high-quality learning modules, assessments, labs, and AI-based project content.
- Ensure curriculum includes modern AI tools, ML workflows, data pipelines, and generative AI applications.
3. Instructional & Pedagogical Excellence
- Apply instructional design principles for engaging learning content.
- Train faculty members on content delivery, teaching methods, and student engagement.
- Maintain academic rigor and ensure excellence in teaching-learning practices.
4. Hands-On AI/ML Projects
- Guide learners in building AI/ML models and real-world use-case projects.
- Ensure integration of modern AI tools, frameworks, and practical code implementation.
5. Program Quality Assurance
- Conduct regular curriculum reviews to keep course content aligned with industry standards.
- Evaluate student performance and continuously enhance teaching methodologies.
6. Collaboration & Stakeholder Management
- Coordinate with academic heads, curriculum designers, and technical experts.
- Participate in strategic planning for program expansion and current course development.
- Drive B2B partnership with Schools, Colleges for CoE (Centre of Excellence) integration, Pilots and Govt. scheme alignment (NIDHI, DST, CSR)
- Set KPIs: enrolment growth, student outcomes (Skills, Placements), ROI attribution and NAAC / CoE accreditation readiness.
The Product Head – AI & Emerging Technologies will be responsible for designing, developing, and leading an advanced AI-based academic program (Kids-to-Masters level). The role demands strong technical expertise in AI/ML, deep academic knowledge, and hands-on experience in instructional design. The candidate should blend academic leadership with modern AI skills to drive an innovative, future-focused curriculum.
The ideal candidate will collaborate with academic and marketing teams, create structured learning pathways, ensure high-quality content delivery, and guide instructors and learners across different levels of expertise.
Essential Academic Qualifications
- Master’s (preferred) or Ph.D. in:
- Computer Science
- Artificial Intelligence
- Machine Learning
- Data Science
- Or related fields from a recognized university
- Bachelor’s degree in Engineering/Mathematics with strong AI/ML certifications may also be accepted with proven experience.
Technical & Pedagogical Certifications
- AI/ML practitioner certifications such as:
- TensorFlow Developer
- AWS Machine Learning
- Google AI, Coursera Deep Learning, IISc Agentic AI
- Pedagogical/teaching certifications like:
- B.Ed / M.Ed
- Instructional Design Certification
- UNESCO AI competency or similar frameworks training
Experience Requirements
Total Experience Required: 5–8 years
- AI Technical Experience: 2–3 years
- ML model building
- Data pipelines
- Generative AI tools
- AI application development
- Curriculum development or academic leadership experience preferred.
Key Responsibilities
1. Program Development & Leadership
- Design and develop a structured AI and Data Science curriculum from foundational to advanced levels.
- Lead academic planning, course mapping, and learning outcomes based on global AI learning frameworks.
- Create learning pathways suitable for school students, graduates, and professionals.
2. Technical Content Creation
- Develop high-quality learning modules, assessments, labs, and AI-based project content.
- Ensure curriculum includes modern AI tools, ML workflows, data pipelines, and generative AI applications.
3. Instructional & Pedagogical Excellence
- Apply instructional design principles for engaging learning content.
- Train faculty members on content delivery, teaching methods, and student engagement.
- Maintain academic rigor and ensure excellence in teaching-learning practices.
4. Hands-On AI/ML Projects
- Guide learners in building AI/ML models and real-world use-case projects.
- Ensure integration of modern AI tools, frameworks, and practical code implementation.
5. Program Quality Assurance
- Conduct regular curriculum reviews to keep course content aligned with industry standards.
- Evaluate student performance and continuously enhance teaching methodologies.
6. Collaboration & Stakeholder Management
- Coordinate with academic heads, curriculum designers, and technical experts.
- Participate in strategic planning for program expansion and current course development.
- Drive B2B partnership with Schools, Colleges for CoE (Centre of Excellence) integration, Pilots and Govt. scheme alignment (NIDHI, DST, CSR)
- Set KPIs: enrolment growth, student outcomes (Skills, Placements), ROI attribution and NAAC / CoE accreditation readiness.
💡 Quick Summary
Seeking a career-building opportunity? The Product Head – AI & Computer Science Programs () position is now open for candidates interested in the IT Engineer & Developer Jobs sector. This role in Kolkata offers a professional environment and growth potential.
Requirement Snapshot: Candidates should possess basic communication skills, a proactive attitude, and the ability to work in a team. Experience in IT Engineer & Developer Jobs is a plus.
