M&E Associate - Rapid Experimentation (Remote)

About GiveDirectly

What if the most effective way to fight poverty was also the simplest: give people money and trust them to decide what they need?

Since 2011, GiveDirectly has proven that idea at scale. We’ve delivered more than $1B in cash directly to 2+ million people living in poverty and crisis across 15 countries, and rigorous research shows the results: healthier kids, stronger businesses, sturdier homes, and more resilient families and local economies. Cash is now widely recognized as one of the most scalable, cost-effective, and dignified forms of aid.

Our ambition goes beyond our own programs. We want cash to become the benchmark for aid, much as the index fund became the benchmark for investing, so that every aid dollar is held to one question: is this doing more good than giving the money directly to people living in poverty?

We’re growing fast, and this is a rare and important moment to join.

We expect to hit $1B in revenue in 2026 with significant growth forecast for 2027. At the same time we are building a new technology stack and operating model designed for a roughly 10x change in scale, and we are actively pursuing partnerships with major funders to move even more money in bigger ways, to people who need it. We are known for our extensive integration of technology into field processes; our quantitative approach to performance measurement; and our commitment to rigorous, independent, experimental evaluation of our impact, with multiple Randomized Control Trials completed and others in progress.

How we work

Our team spans 20+ countries and 69 languages. Our culture is candid, analytical, and non-hierarchical. We expect high ownership and give people real responsibility early. Our values are central to how we hire, work, and grow, and they are deliberately opinionated:

Recipients first. Recipients’ preferences come before those of donors or ourselves.

Team next. We optimize for organizational success, not individual success.

Be proactively candid. We say what we believe and share information openly.

Create positive energy. We aim to be a source of energy for colleagues, not a drain.

Think rigorously; act quickly. We reason from first principles, then act rather than debate.

Know yourself and grow. We own our imperfections and seek feedback to grow.

Accept reality. Propose solutions. We focus on what can change and bring solutions, not just problems.

Be productively ambitious. We take risks for step-change impact, not incremental progress.

If they describe how you like to work and they energize you, this could be a great fit.

Want to learn more? Read and listen:

We are one of Time100’s Most Influential Companies of 2026, and our work has been covered by The Economist , NPR , TED , and The Washington Post . We're now preparing to deliver billions of dollars a year to people in extreme poverty, if funding allows. Read our CEO's essay on what that will take.

Priority Application Deadline: November 9, 2026

Location: This role is remote but must overlap with an East Africa timezone by at least 3 hours . We are unable to sponsor or take over sponsorship of employment visas in the U.S. or U.K. at this time.

About this role

The Monitoring and Evaluation (M&E) Associate for Rapid Experimentation will support the execution and analysis of A/B tests across GiveDirectly’s programs, contributing to the use of data to inform program and product decisions. This role is fast-paced and iterative - the team runs frequent, lightweight experiments designed to generate actionable answers quickly, and then uses those learnings to refine and improve programs in real time. This includes:

Supporting the execution and analysis of rapid A/B tests across GiveDirectly projects , ensuring that experiments are implemented effectively and contribute to learning within and across projects

Ensuring experiments are implemented correctly, measured reliably, and analyzed to produce clear and credible results , working closely with Programs, Product, Research teams, and external academic partners to align experimental design with program delivery, data collection, and operational realities

Translating findings into actionable insights and well-structured learning products that serve multiple audiences - internal program and product teams, and external academic partners, ensuring results inform both immediate decisions and longer-term program direction

In practice, this role is about managing a high volume of rapid experiments and turning results into clear, credible evidence that continuously shapes how GiveDirectly’s programs are refined and improved.

Reports to: Senior Manager, Monitoring and Evaluation

Level : Associate

Travel Requirement: This role is based in Rwanda. Travel within East Africa is a regular part of the role, estimated at up to 25% of the time, to support field operations across country programs.Additional international travel may occur for trainings or team convenings, as needed (estimated up to 10%)

What you’ll do:

Execute and manage A/B tests across programs

Conduct power calculations to ensure experiments are both statistically rigorous and feasible to implement within program constraints

Set up pre-specified experimental designs, applying defined experimental groups, outcome measures, and measurement timelines

Review experiment setups prior to launch and flag execution and measurement risks that may affect interpretability

Ensure experiments are well-coordinated and executed as designed, aligning implementation with research plans and integrating smoothly into program delivery across Programs and Product teams

Work at a fast pace across a portfolio of 2–3 live A/B tests at any given time, designed to generate actionable answers quickly and feed rapid iteration of programs and products

Ensure accurate measurement and high-quality data for experiments

Collaborate with external Principal Investigators (PIs) to ensure measurement approaches and data collection are aligned with research design and implementation realities

Ensure experimental outcomes are captured accurately and consistently by applying established indicator and measurement approaches

Prepare and manage datasets that are clean, well-structured, and ready for analysis using survey, administrative, and product data

Identify and flag data quality risks (e.g., missingness, inconsistencies, measurement error) that could affect the validity of experimental conclusions

Conduct targeted literature reviews to ensure measurement approaches are grounded in evidence and aligned with best practices

Analyze experimental data and interpret results to inform decisions

Generate reliable and decision-ready analyses of experimental data from A/B tests

Assess the magnitude and direction of effects and highlight what the results do and do not suggest, noting key limitations

Ensure results are clearly understood and appropriately interpreted, given data quality, sample size, and implementation considerations

Translate results into actionable insights and learning across experiments

Translate experimental results into clear, actionable recommendations to guide program and product decisions for individual country programs, and for the direction of GiveDirectly’s programming as a whole

Structure results and key learnings so they can be reused to inform future experiments and program design

Prepare concise learning products (e.g., memos, summaries) that serve multiple audiences, including internal Programs and Product teams, and external academic partners, ensuring findings are clearly communicated for both technical and non-technical stakeholders

Prepare and clean de-identified datasets for sharing with external PIs and academic partners, ensuring data is structured, well-documented, and ready for independent analysis

Contribute to cross-country discussions to ensure learnings from experiments are s