Product Research Manager

The Product Research Manager will lead the design and implementation of product learning initiatives, including rapid user research and embedded studies within product development lifecycles. Responsibilities include using user data, conducting user research, product analytics, and experimentation to understand engagement, performance, user experience, and health outcomes. The role will translate evidence into concrete strategies to improve product offerings and implementation. Additionally, the manager will lead implementation research studies to optimize the scale and impact of the organization's solutions, employing mixed methods approaches to understand real-world operations. The position involves overseeing data gathering, analysis, and interpretation, ensuring quality at all levels, and translating research findings into clear, decision-ready recommendations for product iteration, experimentation, partnership, and scale strategies. The manager will also lead and mentor research teams, partner with internal departments, and communicate complex findings to stakeholders including product managers, programs teams, senior leadership, donors, and government partners.

Master’s degree in public health, social sciences, epidemiology, implementation science, or a related field with 5–8+ years of experience conducting applied or product/UX-focused research; or a Bachelor’s degree with equivalent hands-on research experience; demonstrated mid- to senior-level experience in product, implementation, or applied research with strong use of qualitative and mixed-methods approaches; proven ability to design and lead studies that inform product iteration, scale-up, sustainability, and impact within complex health or digital systems; strong experience translating research evidence into clear product, programmatic, or policy decisions; proficiency in at least one statistical or analytical software package (e.g., STATA or R); experience conducting product or UX research within large-scale digital health platforms or technology-enabled services; familiarity with user and product analytics, dashboards, or routine platform data; hands-on experience with qualitative analysis tools (e.g., NVivo, Atlas.ti); experience collaborating closely with product teams, governments, donors, or large-scale implementation partners; knowledge of basic statistics.