1. Research & Evidence Building

• Conduct thorough secondary research on global and local ed-tech practices, learning science principles, and relevant pedagogical innovations.

• Review academic literature, evaluation reports, and case studies to identify promising models and evidence-based practices.

• Develop research memos, briefs, and evidence summaries to inform decision-making.

• Understand and apply foundational research methods, including:

  • Qualitative methods (interviews, focus groups, observations)

  • Quantitative methods (surveys, basic analysis, descriptive and inferential reasoning)

  • Impact evaluation methods (RCTs, quasi-experiments, and theory-driven evaluation); strong theoretical understanding is also valued.

• Explore and map global organisations, platforms, and tools that support learning in low-resource contexts.

2. Program Design & Innovation

• Support the design of tech-based education interventions by identifying problems, defining user needs, and shaping programme theory.

• Contribute to pilot design, including sampling frameworks, monitoring tools, and implementation processes.

• Assist in building or refining the Theory of Change (ToC), clearly articulating assumptions, pathways, and intended outcomes.

• Develop structured documentation for new products or interventions, ensuring clarity and alignment with organisational priorities.

3. Implementation & Testing

• Coordinate and support the rollout of pilots, including training, communication with field teams, and initial troubleshooting.

• Facilitate testing and iteration of prototypes or early-stage interventions.

• Capture field insights and translate them into actionable improvements for product or programme refinement.

• Work closely with data, curriculum, and technology teams to ensure smooth execution.

4. Cross-Functional Collaboration

• Collaborate with internal teams (Curriculum, Training, Technology, Monitoring & Evaluation) to ensure interventions are coherent and feasible.

• Engage with external partners and solution providers to explore collaboration and learning opportunities.

• Maintain up-to-date knowledge of emerging ed-tech products, AI-enabled learning tools, and global best practices.

• Strong research and analytical skills with demonstrated experience in literature review and synthesizing evidence.

• Familiarity with qualitative and quantitative research methods.

• Exposure to monitoring, evaluation, or impact measurement frameworks (knowledge of RCTs is a plus).

• Excellent written communication, with the ability to produce clear, concise memos and briefs.

• Strong organizational skills and comfort working in dynamic, iterative program development cycles.

• Curiosity and a growth mindset, keen to explore new ideas, tools, and methods.

Bachelor’s degree in Social Sciences, Social Policy, or related fields.

At least one year of full-time work experience.

Prior experience in education, ed-tech, research, or related program roles.

Experience or exposure to ed-tech product management, especially in early-stage or pilot environments.

Preliminary understanding of AI in education (K–12), including common tools, pedagogical applications, and implementation considerations.

Understanding of low-resource schooling contexts.

Basic familiarity with user-centered design or human-centered design principles.