M&E Associate - Rapid Experimentation (Remote)

GiveDirectly

United States

Remote

USD 65,000 - 90,000

Full time

7 days ago
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Benefits offered by this job

Bonus at Target Performance: 10%
Annual Benefits Stipend: $21,393
Remote work flexibility

Job summary

GiveDirectly, Inc. is seeking a Monitoring and Evaluation (M&E) Associate for Rapid Experimentation. The role focuses on executing rapid A/B tests, analyzing results, and turning data into actionable guidance for programs and products.

It requires strong quantitative skills, English fluency, and comfort working remotely with East Africa overlap. Travel is possible within East Africa, and the role reports to the Senior Manager, M&E.

Qualifications

  • Bachelor’s degree in Economics, Statistics, Public Policy, or related quantitative field.
  • Experience with experimental design and causal inference concepts.
  • Experience using R, Python, or Stata to clean, manipulate, and analyze data.

Responsibilities

  • Execute and manage rapid A/B tests across GiveDirectly programs.
  • Ensure measurement reliability and credible results.
  • Translate findings into actionable insights for program and product decisions.

Skills

Statistics
Experimental design
Data analysis
English fluency
Project management

Education

Bachelor’s degree in Economics, Statistics, Public Policy, or related quantitative field

Tools

R
Python
Stata

Job description

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.

Priority Application Deadline: November 9, 2026

Location: This role is remotebut 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 shared and applied across contexts, and maintain clear documentation so experiments are easy to track, understand, and build on over time
What you’ll bring:
  • Exceptional alignment with GiveDirectly Values and active demonstration of our core competencies: emotional intelligence, problem-solving, project management, follow-through, and fostering inclusivity. We welcome and strongly encourage applications from candidates who have personal or professional experience in the low-income and/or historically marginalized communities that we serve.
  • Bachelor’s degree (or equivalent) in Economics, Statistics, Public Policy, or a related quantitative field
  • 2–4 years of experience working with data in applied settings (e.g., experimentation, evaluation, analytics, or program learning), ideally in development, tech, or operations-focused roles
  • Solid understanding of experimental design and causal inference concepts (e.g., randomization, treatment/control groups, units of randomization, statistical power, bias) and how to apply them in real-world program contexts
  • Experience using R, Python, or Stata to clean, manipulate, and analyze data, including working with multiple data sources (e.g., survey or administrative data)
  • Experience collaborating with cross-functional teams (e.g., programs/operations, product, or research) and external partners to implement projects and solve problems
  • Fluency in English required
  • Comfort working at pace - able to manage multiple workstreams simultaneously, make progress with imperfect data, and iterate quickly based on emerging findings
  • Ability to interpret results beyond statistical significance and communicate clear, actionable insights to both technical and non-technical audiences
Compensation

At GiveDirectly, we strive to pay our employees generously and equitably. We use an accredited third party salary aggregator to calculate what we believe to be competitive pay based on role, location, and cost of living. We also have a no negotiation policy to ensure we are paying staff equitably across roles. Read more about our compensation philosophy here .

Unless otherwise noted, the benefits stipend may be used to cover benefits or taken as additional taxable income.

  • Bonus at Target Performance:10%
  • Bonus at Target Performance:10%
UK
  • Bonus at Target Performance: 10%
  • Annual Benefits Stipend: £2,760
United States
  • Bonus target: 10%
  • Annual Benefits Stipend: $21,393

This role is fully remote, with a preference for candidates to be based in Kenya or Rwanda. If you’re located elsewhere, we’ll share an estimated salary benchmark for your country during the hiring process. You can find the full list of countries we’re currently able to hire in here.

Why work at GiveDirectly?

At GiveDirectly, we work to ensure that you have everything you need to excel in your role and on your team, including:

  • A supportive team that works hard and cares hard
  • A robust health benefits plan (exact details will vary by country)
  • Flexible paid time off that staff is encouraged to take
  • Allowances for desk set-up and learning and development

#LI-REMOTE

Working at GiveDirectly

GiveDirectly is an Equal Opportunity Employer. All qualified applicants are considered for employment without regard to the person’s race, color, religion, national origin, sex, sexual orientation, age, marital status, veteran status, disability, or any other characteristic protected by applicable law.

Flagging for US applicants: We invite you to " Know Your Rights ".

Commitment to Safeguarding

As a global organization working with communities to eliminate extreme poverty, GiveDirectly takes the safeguarding of its recipients, staff, and partners seriously. To that end, GiveDirectly is a member of the Misconduct Disclosure Scheme, and will systematically check with previous employers about any abuse or misconduct related matters involving potential new hires. We may also employ other robust pre-hire screens, including in-depth reference checks, criminal background checks, and sanctions screens.

These efforts help us continue to build and maintain trust with the communities we work with, and prevent abuse to our recipients and staff.

GD is committed to observing all local, national and international laws that protect people and basic human rights of all. GD is committed to a policy of zero tolerance when it comes to preventing, reporting, or responding to any form of abuse or exploitation. and expects anyone who works for GD to uphold the protection and safeguarding of our recipients as a priority.

Reasonable Accommodations

We are committed to fostering an inclusive and accessible work environment. If you require any accommodations during the application or interview process, or to perform the essential functions of the role, please email us at careers@givedirectly.org with the email subject "Accommodation Needed". We will work with you to ensure reasonable accommodations are made to support your needs.

Know the right person for this role? Please consider referring them. We offer a reward of $3,000 for a Senior Manager or above role, and $500 for a Manager role, paid if we end up hiring your referral. Thank you for sending great people our way!

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