Job Description
Position: AI Learning Impact Director
Function: AI in Education
Industry: EdTech
Grade: senior level
Location: Kochi
Employment Type: Full-time
Compensation: INR 7.4-53.4 LPA
The organisation invites applications for the above-referenced position. The incumbent shall be responsible for discharging duties associated with ai in education, in accordance with the standards and processes laid down by EdTech.
Minimum Qualification: MBA (EdTech/Marketing)
Minimum Experience: 12 years
Core Competencies Required: Data-driven Learning Analytics, A/B Testing (EdTech), LMS Platforms, Product Knowledge (EdTech Platforms), Ed-tech Sales/Growth Basics, Customer Success (EdTech), AI in Education
Further Information:
References may be requested closer to the offer stage rather than at the start of the process. Applications without a clear summary of relevant experience are less likely to be shortlisted for the first round. 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. Compensation includes standard statutory benefits along with performance-linked variable pay. The hiring process typically includes a screening round, a technical or functional assessment, and a final discussion with the reporting manager. 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. A typical day starts with reviewing priority tasks and syncing with the immediate team before moving into focused execution work. 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. The organisation places a premium on ownership; once a task is assigned, the expectation is to see it through without hand-holding. Interested candidates should be prepared to walk through relevant past work during the interview process. Expect a mix of scheduled reviews, ad-hoc troubleshooting, and documentation as the workload shifts through the week. Managers here tend to give context rather than instructions, leaving room for the individual to decide how a task gets done. Leave policy follows standard industry norms, including earned leave, sick leave, and public holidays as applicable. Relocation assistance may be extended for candidates moving from a different city, subject to approval. High performers in this role typically move into a broader ownership scope within 18-24 months. 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. In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments. The role alternates between independent deep work and short coordination huddles with stakeholders across functions. Benefits include health insurance, provident fund contributions, and paid leave in line with company policy. There is a defined internal mobility path for people who want to specialise deeper or move into people management. Work culture here leans collaborative, with regular knowledge-sharing sessions and an open-door policy for raising concerns.
Function: AI in Education
Industry: EdTech
Grade: senior level
Location: Kochi
Employment Type: Full-time
Compensation: INR 7.4-53.4 LPA
The organisation invites applications for the above-referenced position. The incumbent shall be responsible for discharging duties associated with ai in education, in accordance with the standards and processes laid down by EdTech.
Minimum Qualification: MBA (EdTech/Marketing)
Minimum Experience: 12 years
Core Competencies Required: Data-driven Learning Analytics, A/B Testing (EdTech), LMS Platforms, Product Knowledge (EdTech Platforms), Ed-tech Sales/Growth Basics, Customer Success (EdTech), AI in Education
Further Information:
References may be requested closer to the offer stage rather than at the start of the process. Applications without a clear summary of relevant experience are less likely to be shortlisted for the first round. 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. Compensation includes standard statutory benefits along with performance-linked variable pay. The hiring process typically includes a screening round, a technical or functional assessment, and a final discussion with the reporting manager. 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. A typical day starts with reviewing priority tasks and syncing with the immediate team before moving into focused execution work. 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. The organisation places a premium on ownership; once a task is assigned, the expectation is to see it through without hand-holding. Interested candidates should be prepared to walk through relevant past work during the interview process. Expect a mix of scheduled reviews, ad-hoc troubleshooting, and documentation as the workload shifts through the week. Managers here tend to give context rather than instructions, leaving room for the individual to decide how a task gets done. Leave policy follows standard industry norms, including earned leave, sick leave, and public holidays as applicable. Relocation assistance may be extended for candidates moving from a different city, subject to approval. High performers in this role typically move into a broader ownership scope within 18-24 months. 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. In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments. The role alternates between independent deep work and short coordination huddles with stakeholders across functions. Benefits include health insurance, provident fund contributions, and paid leave in line with company policy. There is a defined internal mobility path for people who want to specialise deeper or move into people management. Work culture here leans collaborative, with regular knowledge-sharing sessions and an open-door policy for raising concerns.