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.