AI in Education

AI Learning Innovation Lead

  • Pune
  • ₹300,000 - ₹1,150,000
  • Full Time Job

Job Description

## AI Learning Innovation Lead

**Department:** AI in Education | **Industry:** EdTech
**Location:** Pune | **Job Type:** Hybrid | **CTC:** INR 3.0-11.5 LPA

### Role Overview
This position calls for an AI Learning Innovation Lead who can take ownership of core responsibilities within our AI in Education team. The role is positioned at the mid level and reports into the broader AI in Education charter.

### Key Responsibilities
- Own end-to-end delivery of tasks related to ai in education.
- Apply working knowledge of AI in Education and Product Knowledge (EdTech Platforms) to daily execution.
- Coordinate with cross-functional stakeholders within EdTech.
- Maintain documentation and reporting as required by the team lead.
- Flag risks and blockers early rather than at review checkpoints.

### Requirements
- B.Ed or equivalent qualification.
- 6 years of relevant experience (mid level).
- Working proficiency in: AI in Education, Product Knowledge (EdTech Platforms), Content Strategy (EdTech), Data-driven Learning Analytics, LMS Platforms.

### Additional Notes
The team follows a flat structure where ideas are evaluated on merit rather than hierarchy, and feedback flows in both directions. Shortlisted applicants will be evaluated on both domain knowledge and practical problem-solving ability. Priorities can shift mid-week depending on business needs, so adaptability matters as much as technical depth. The organisation has historically promoted from within for a majority of its senior and lead openings. The package is structured with a fixed component, performance bonus, and standard health coverage. There's usually a block of uninterrupted time set aside for focused work, separate from meetings and coordination calls. New joiners typically get a short structured onboarding before being handed independent ownership of their first deliverables. Internal job postings are open to employees who've completed a minimum tenure in their current role. In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments. Performance is reviewed on a structured cycle, with clear criteria for movement into the next band. The role alternates between independent deep work and short coordination huddles with stakeholders across functions. Work culture here leans collaborative, with regular knowledge-sharing sessions and an open-door policy for raising concerns. Learning and certification support is available for tools and frameworks directly relevant to the role.

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