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 new 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.
Job Type: Full-time

Pay: ?50,000.00 - ?75,000.00 per month

Work Location: In person