Product Manager — LMS & Learning
- Location
- Hyderabad
- Posted
- Sep 15, 2026
- Last seen
- Oct 6, 2026
About the role
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 We're Looking For
Must Have
- 4–8 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.
Educational Qualification
- Bachelor’s degree in Computer Science, Engineering, Information Technology, Education, Business Administration, or a related discipline. - A Master’s 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.
