Job Description
## AI Curriculum Architecture Head
**Department:** AI in Education | **Industry:** EdTech
**Location:** Delhi NCR | **Job Type:** Hybrid | **CTC:** INR 23.8-57.0 LPA
### Role Overview
This position calls for an AI Curriculum Architecture Head who can take ownership of core responsibilities within our AI in Education team. The role is positioned at the senior 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 Customer Success (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
- B.Tech + Product Management Certification or equivalent qualification.
- 12 years of relevant experience (senior level).
- Working proficiency in: AI in Education, Customer Success (EdTech), Learning Experience Design, Product Knowledge (EdTech Platforms), Curriculum Alignment, Data-driven Learning Analytics.
### Additional Notes
References may be requested closer to the offer stage rather than at the start of the process. Most days include at least one review checkpoint where progress is discussed against the plan for the week. In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments. Managers here tend to give context rather than instructions, leaving room for the individual to decide how a task gets done. The team follows a flat structure where ideas are evaluated on merit rather than hierarchy, and feedback flows in both directions. Interested candidates should be prepared to walk through relevant past work during the interview process. Internal job postings are open to employees who've completed a minimum tenure in their current role. Relocation assistance may be extended for candidates moving from a different city, subject to approval. Benefits include health insurance, provident fund contributions, and paid leave in line with company policy. Expect a mix of scheduled reviews, ad-hoc troubleshooting, and documentation as the workload shifts through the week. Cross-functional exposure is built into the role by design, so the person will regularly interact with adjacent teams and leadership. Leave policy follows standard industry norms, including earned leave, sick leave, and public holidays as applicable. The organisation has historically promoted from within for a majority of its senior and lead openings. Skip-level conversations with senior leadership are encouraged at least twice a year to discuss career direction. Performance is reviewed on a structured cycle, with clear criteria for movement into the next band. There's usually a block of uninterrupted time set aside for focused work, separate from meetings and coordination calls. No two days look identical - some are heavy on execution, others are spent largely in planning and cross-team discussions. A typical day starts with reviewing priority tasks and syncing with the immediate team before moving into focused execution work. There is a defined internal mobility path for people who want to specialise deeper or move into people management. Priorities can shift mid-week depending on business needs, so adaptability matters as much as technical depth.
**Department:** AI in Education | **Industry:** EdTech
**Location:** Delhi NCR | **Job Type:** Hybrid | **CTC:** INR 23.8-57.0 LPA
### Role Overview
This position calls for an AI Curriculum Architecture Head who can take ownership of core responsibilities within our AI in Education team. The role is positioned at the senior 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 Customer Success (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
- B.Tech + Product Management Certification or equivalent qualification.
- 12 years of relevant experience (senior level).
- Working proficiency in: AI in Education, Customer Success (EdTech), Learning Experience Design, Product Knowledge (EdTech Platforms), Curriculum Alignment, Data-driven Learning Analytics.
### Additional Notes
References may be requested closer to the offer stage rather than at the start of the process. Most days include at least one review checkpoint where progress is discussed against the plan for the week. In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments. Managers here tend to give context rather than instructions, leaving room for the individual to decide how a task gets done. The team follows a flat structure where ideas are evaluated on merit rather than hierarchy, and feedback flows in both directions. Interested candidates should be prepared to walk through relevant past work during the interview process. Internal job postings are open to employees who've completed a minimum tenure in their current role. Relocation assistance may be extended for candidates moving from a different city, subject to approval. Benefits include health insurance, provident fund contributions, and paid leave in line with company policy. Expect a mix of scheduled reviews, ad-hoc troubleshooting, and documentation as the workload shifts through the week. Cross-functional exposure is built into the role by design, so the person will regularly interact with adjacent teams and leadership. Leave policy follows standard industry norms, including earned leave, sick leave, and public holidays as applicable. The organisation has historically promoted from within for a majority of its senior and lead openings. Skip-level conversations with senior leadership are encouraged at least twice a year to discuss career direction. Performance is reviewed on a structured cycle, with clear criteria for movement into the next band. There's usually a block of uninterrupted time set aside for focused work, separate from meetings and coordination calls. No two days look identical - some are heavy on execution, others are spent largely in planning and cross-team discussions. A typical day starts with reviewing priority tasks and syncing with the immediate team before moving into focused execution work. There is a defined internal mobility path for people who want to specialise deeper or move into people management. Priorities can shift mid-week depending on business needs, so adaptability matters as much as technical depth.