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Product Manager — LMS & Learning

MCB

Job Location:

Hyderabad - India

Monthly Salary: Not provided by the employer

Posted: 29 September 2026 (2 days ago)

Application Deadline: 27 December 2026

Vacancies: 1 Vacancy

Job Summary

We are looking for a Product Manager Learning Management to own the teaching and learning surface of our platform distinct from the administrative side of the product.

This role is ideal for a product leader who has built products for teachers and students not just for administrators. You should deeply understand the realities of classroom technology and recognise a fundamental principle of edtech: if a digital workflow takes more time than the paper version a teacher will abandon it no matter how good the feature looks.

You will own the product experience across content curriculum assessments assignments AI-led learning and academic analytics working closely with teachers students academic teams design engineering and other stakeholders.

Key Responsibilities

1. Content & Learning Delivery

Own the product strategy and roadmap for course and curriculum structures including subjects chapters topics and learning objectives.
Build intuitive tools for creating organising publishing and managing learning content.
Support multiple content formats including video documents interactive learning material and other digital resources.
Define workflows for content versioning updates reuse and publishing.
Build lesson planning tools aligned with academic calendars and curriculum requirements.
Integrate live classes and provide seamless access to class recordings and learning resources.
Ensure teachers can prepare and deliver lessons with minimal administrative overhead.

2. Assessments

Own the assessment engine end to end including question banks question types difficulty tagging question selection and randomisation.
Build online examination experiences covering timing auto-submit resumption after disconnection and other real-world exam scenarios.
Design workflows for objective-question auto-grading and rubric-based evaluation of subjective answers.
Build reliable result publication grade books report cards and student progress tracking.
Work closely with academic stakeholders to ensure assessment workflows reflect sound pedagogical practices.
Balance assessment integrity with usability for teachers and students.

3. Assignments

Own the end-to-end online assignment lifecycle creation distribution submission late submissions grading and closure.
Build efficient teacher grading workflows including annotation comments rubrics and structured feedback.
Explore plagiarism and originality-checking capabilities while keeping the experience practical for schools.
Enable students and parents to clearly understand assignment status feedback and performance.
Reduce the effort required for teachers to manage digital assignments compared with traditional workflows.

4. AI-Led Learning

Define and build AI-powered learning experiences including an AI tutor for doubt resolution concept explanation guided practice and revision.
Develop personalised learning paths based on student performance learning gaps and mastery.
Build adaptive difficulty and revision recommendations.
Explore AI-assisted grading and feedback generation to reduce teacher workload while keeping teachers in control.
Establish product guardrails for AI accuracy age-appropriateness academic integrity and responsible use.
Clearly define what the AI should and should not do in a K-12 learning environment.
Continuously evaluate AI experiences through teacher and student feedback learning outcomes and quality metrics.

5. Learning Analytics

Own student progress and mastery-tracking experiences.
Build teacher-facing dashboards that help educators identify learning gaps and class-level performance trends.
Create parent-facing progress summaries that are clear actionable and easy to understand.
Enable institution-level academic reporting and insights.
Translate learning data into meaningful recommendations rather than simply presenting large volumes of metrics.

What Were Looking For

Must Have

48 years of experience in Product Management with at least 3 years building an LMS edtech or learning product.
Demonstrated experience building products for schools colleges or learning platforms.
Experience shipping an assessment or assignment system end to end.
Strong experience working directly with teachers and students during product discovery and validation.
Ability to articulate what you learned from teachers and students that changed your product decisions.
Strong understanding of the practical constraints of Indian education environments including:
- Patchy or unreliable connectivity
- Shared devices
- Low-end Android devices
- Limited device/storage capacity
- Mixed levels of digital literacy
- Classroom and teacher workflow constraints
Strong understanding of learning and assessment workflows and the ability to reason about pedagogy not just features.
Ability to translate complex academic requirements into simple intuitive product experiences.
Strong product sense analytical thinking prioritisation and stakeholder-management skills.

Nice to Have

Experience building AI tutoring adaptive learning or personalised learning experiences.
Experience with K-12 education and school curriculum structures.
Familiarity with CBSE ICSE or state-board curricula.
Experience working with content providers publishers or third-party educational content integrations.
Experience building for multilingual audiences.
Experience with accessibility and inclusive learning experiences.
Understanding of academic integrity plagiarism detection assessment security and responsible AI in education.

What Success Looks Like

In this role success means building a learning platform that teachers and students genuinely prefer over manual processes.

You will be successful when:

Teachers can create deliver assess and provide feedback with less effort than their existing workflows.
Students have a reliable intuitive experience across learning assignments assessments and revision.
Assessments accurately measure learning and provide actionable insights.
AI meaningfully improves learning outcomes and teacher productivity without compromising trust or safety.
Parents and educators have a clear understanding of student progress.
Product decisions are grounded in classroom realities pedagogy data and direct user feedback.

Educational Qualification

Bachelors degree in Computer Science Engineering Information Technology Education Business Administration or a related discipline.
A Masters degree in Education Educational Technology Management Technology or a related field is an advantage.
Candidates with strong relevant experience in LMS/EdTech product management may be considered irrespective of their specific academic specialisation.

Required Experience:

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