Job Description
EdTech AI Platform Manager | Ahmedabad | INR 9.7-21.6 LPA
AI in Education role, mid level, contract.
Need: MBA (EdTech/Marketing), 4+ yrs.
Core skills: Customer Success (EdTech), Data-driven Learning Analytics, User Research (Learners), AI in Education, LMS Platforms.
If this fits your profile in ai in education, apply now.
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. 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. Disagreement on approach is expected and welcomed, provided it's backed by reasoning rather than preference alone.
Candidates are encouraged to highlight measurable outcomes from previous roles rather than just responsibilities held. 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. Compensation includes standard statutory benefits along with performance-linked variable pay.
References may be requested closer to the offer stage rather than at the start of the process. The team follows a flat structure where ideas are evaluated on merit rather than hierarchy, and feedback flows in both directions.
The role alternates between independent deep work and short coordination huddles with stakeholders across functions. Leave policy follows standard industry norms, including earned leave, sick leave, and public holidays as applicable. A typical day starts with reviewing priority tasks and syncing with the immediate team before moving into focused execution work.
The next logical step from this position is a senior or lead-track role within the same function. Most days include at least one review checkpoint where progress is discussed against the plan for the week.
Cross-functional exposure is built into the role by design, so the person will regularly interact with adjacent teams and leadership. Applications without a clear summary of relevant experience are less likely to be shortlisted for the first round.
AI in Education role, mid level, contract.
Need: MBA (EdTech/Marketing), 4+ yrs.
Core skills: Customer Success (EdTech), Data-driven Learning Analytics, User Research (Learners), AI in Education, LMS Platforms.
If this fits your profile in ai in education, apply now.
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. 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. Disagreement on approach is expected and welcomed, provided it's backed by reasoning rather than preference alone.
Candidates are encouraged to highlight measurable outcomes from previous roles rather than just responsibilities held. 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. Compensation includes standard statutory benefits along with performance-linked variable pay.
References may be requested closer to the offer stage rather than at the start of the process. The team follows a flat structure where ideas are evaluated on merit rather than hierarchy, and feedback flows in both directions.
The role alternates between independent deep work and short coordination huddles with stakeholders across functions. Leave policy follows standard industry norms, including earned leave, sick leave, and public holidays as applicable. A typical day starts with reviewing priority tasks and syncing with the immediate team before moving into focused execution work.
The next logical step from this position is a senior or lead-track role within the same function. Most days include at least one review checkpoint where progress is discussed against the plan for the week.
Cross-functional exposure is built into the role by design, so the person will regularly interact with adjacent teams and leadership. Applications without a clear summary of relevant experience are less likely to be shortlisted for the first round.