AI in Education

AI Education Ecosystem Head

  • Bhubaneswar
  • ₹3,870,000 - ₹7,410,000
  • Freelancing Job

Job Description

EdTech is looking for an experienced AI Education Ecosystem Head to take ownership of the AI in Education charter at a senior level. This is a role for someone who has already operated at scale and is comfortable setting direction rather than simply following one.

The successful candidate will bring approximately 10 years of progressively senior experience, holding B.Tech + Product Management Certification, with a demonstrated track record across AI in Education, Product Knowledge (EdTech Platforms), A/B Testing (EdTech), Data-driven Learning Analytics, Ed-tech Sales/Growth Basics. Beyond individual capability, this role expects the person to mentor junior team members and represent the function in cross-departmental discussions.

Reporting relationships will be defined based on the final scope agreed at offer stage, and the role is based out of Bhubaneswar on a leadership - full-time arrangement. Compensation is benchmarked at INR 38.7-74.1 LPA, reflecting the seniority and scope of the position.

Success in this role will be measured less by task completion and more by the quality of judgement applied to ambiguous, high-stakes situations within ai in education.

The next logical step from this position is a senior or lead-track role within the same function. The package is structured with a fixed component, performance bonus, and standard health coverage. Managers here tend to give context rather than instructions, leaving room for the individual to decide how a task gets done.

Skip-level conversations with senior leadership are encouraged at least twice a year to discuss career direction. 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. Learning and certification support is available for tools and frameworks directly relevant to the role.

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.

There's usually a block of uninterrupted time set aside for focused work, separate from meetings and coordination calls. Most days include at least one review checkpoint where progress is discussed against the plan for the week.

Interested candidates should be prepared to walk through relevant past work during the interview process. Priorities can shift mid-week depending on business needs, so adaptability matters as much as technical depth.

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. No two days look identical - some are heavy on execution, others are spent largely in planning and cross-team discussions.

Internal job postings are open to employees who've completed a minimum tenure in their current role. References may be requested closer to the offer stage rather than at the start of the process.

In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments. Relocation assistance may be extended for candidates moving from a different city, subject to approval.

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