AI in Education

Educational AI Program Manager

  • Pune
  • ₹330,000 - ₹2,230,000
  • Full Time Job

Job Description

## Educational AI Program Manager

**Department:** AI in Education | **Industry:** EdTech
**Location:** Pune | **Job Type:** Hybrid | **CTC:** INR 3.3-22.3 LPA

### Role Overview
The organisation is seeking a qualified Educational AI Program Manager to support ongoing initiatives in AI in Education. 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 A/B Testing (EdTech) and Content Strategy (EdTech) 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
- MBA (EdTech/Marketing) or equivalent qualification.
- 5 years of relevant experience (mid level).
- Working proficiency in: A/B Testing (EdTech), Content Strategy (EdTech), Learning Experience Design, AI in Education, Data-driven Learning Analytics, Product Knowledge (EdTech Platforms), User Research (Learners), LMS Platforms.

### Additional Notes
The environment rewards initiative - people who flag problems early and propose fixes tend to grow faster here. The next logical step from this position is a senior or lead-track role within the same function. Compensation includes standard statutory benefits along with performance-linked variable pay. Learning and certification support is available for tools and frameworks directly relevant to the role. Priorities can shift mid-week depending on business needs, so adaptability matters as much as technical depth. Relocation assistance may be extended for candidates moving from a different city, subject to approval. The hiring process typically includes a screening round, a technical or functional assessment, and a final discussion with the reporting manager. Shortlisted applicants will be evaluated on both domain knowledge and practical problem-solving ability. Applications without a clear summary of relevant experience are less likely to be shortlisted for the first round. Most days include at least one review checkpoint where progress is discussed against the plan for the week. Skip-level conversations with senior leadership are encouraged at least twice a year to discuss career direction. High performers in this role typically move into a broader ownership scope within 18-24 months. Cross-functional exposure is built into the role by design, so the person will regularly interact with adjacent teams and leadership. Expect a mix of scheduled reviews, ad-hoc troubleshooting, and documentation as the workload shifts through the week. Benefits include health insurance, provident fund contributions, and paid leave in line with company policy. New joiners typically get a short structured onboarding before being handed independent ownership of their first deliverables. Mornings are usually spent on planning and status reviews, while the rest of the day is given over to hands-on delivery and problem-solving. Internal job postings are open to employees who've completed a minimum tenure in their current role. The team follows a flat structure where ideas are evaluated on merit rather than hierarchy, and feedback flows in both directions. In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments. The organisation places a premium on ownership; once a task is assigned, the expectation is to see it through without hand-holding. There's usually a block of uninterrupted time set aside for focused work, separate from meetings and coordination calls. The package is structured with a fixed component, performance bonus, and standard health coverage.

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