{"id":2588251,"url":"https://alion.io/job/this-american-life-me-associate-rapid-experimentation-remote","title":"M&E Associate - Rapid Experimentation (Remote)","company":{"id":16904,"name":"This American Life","domain":"thisamericanlife.org","url":"https://alion.io/company/this-american-life","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":null},"role":"Science & Research","role_family":"Science & Research","seniority":"junior","employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"posting_text","remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":[],"countries":[],"hiring_countries":["KE","RW"],"hiring_countries_total":2,"salary":null,"salary_estimate":{"min_usd":54000,"max_usd":116000,"period":"year","method":"global_role_seniority_cell","sample_n":1032},"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"A/B Testing","optional":false},{"name":"Python","optional":false},{"name":"Stata","optional":false}],"status":"closed","first_seen_at":"2026-10-13T13:56:22Z","employer_posted_date":"2026-10-13","last_verified_at":"2026-10-29T16:38:24Z","board_verified":false,"closed_at":"2026-10-29T16:38:24Z","days_open":16,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":16},"description":"GiveDirectly has delivered more than $1B in cash directly to 2+ million people living in poverty across 15 countries since 2011. We believe cash transfers are one of the most scalable, cost-effective, and dignified forms of aid, with the research to back it up. Our work has been covered by The Economist, NPR, TED, and The Washington Post. We are one of Time100’s Most Influential Companies of 2026. \nOur culture is candid, analytical, and non-hierarchical. We support high ownership and real professional growth. Curious about what it's really like to work here? Read our values and hear from the people who do. If they resonate, this could be a great fit!\nPriority Application Deadline: May 15, 2026\nAbout this role\nThe 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:\nSupporting 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\nEnsuring 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\nTranslating 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\nIn 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.\nReports to: Senior Manager, Monitoring and Evaluation\nLevel: Associate\nTravel 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%)\nWhat you’ll do:\nExecute and manage A/B tests across programs\nConduct power calculations to ensure experiments are both statistically rigorous and feasible to implement within program constraints\nSet up pre-specified experimental designs, applying defined experimental groups, outcome measures, and measurement timelines\nReview experiment setups prior to launch and flag execution and measurement risks that may affect interpretability\nEnsure experiments are well-coordinated and executed as designed, aligning implementation with research plans and integrating smoothly into program delivery across Programs and Product teams\nWork 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\nEnsure accurate measurement and high-quality data for experiments\nCollaborate with external Principal Investigators (PIs) to ensure measurement approaches and data collection are aligned with research design and implementation realities\nEnsure experimental outcomes are captured accurately and consistently by applying established indicator and measurement approaches\nPrepare and manage datasets that are clean, well-structured, and ready for analysis using survey, administrative, and product data\nIdentify and flag data quality risks (e.g., missingness, inconsistencies, measurement error) that could affect the validity of experimental conclusions\nConduct targeted literature reviews to ensure measurement approaches are grounded in evidence and aligned with best practices\nAnalyze experimental data and interpret results to inform decisions\nGenerate reliable and decision-ready analyses of experimental data from A/B tests\nAssess the magnitude and direction of effects and highlight what the results do and do not suggest, noting key limitations\nEnsure results are clearly understood and appropriately interpreted, given data quality, sample size, and implementation considerations\nTranslate results into actionable insights and learning across experiments\nTranslate 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\nStructure results and key learnings so they can be reused to inform future experiments and program design\nPrepare 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 \nPrepare and clean de-identified datasets for sharing with external PIs and academic partners, ensuring data is structured, well-documented, and ready for independent analysis\nContribute 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\nWhat you’ll bring:\nExceptional 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.\nBachelor’s degree (or equivalent) in Economics, Statistics, Public Policy, or a related quantitative field\n2-4 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\nSolid 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\nExperience using R, Python, or Stata to clean, manipulate, and analyze data, including working with multiple data sources (e.g., survey or administrative data)\nExperience collaborating with cross-functional teams (e.g., programs/operations, product, or research) and external partners to implement projects and solve problems\nFluency in English required\nComfort working at pace - able to manage multiple workstreams simultaneously, make progress with imperfect data, and iterate quickly based on emerging findings\nAbility to interpret results beyond statistical significance and communicate clear, actionable insights to both technical and non-technical audiences\nCompensation\nAt 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.\nUnless otherwise noted, the benefits stipend may be used to cover benefits or taken as additional taxable income.\nKenya\nBase Salary: $42,000\n Bonus at Target Performance: 10% (~$4,200, with potential for upside. For reference, with the organization's current performance multiplier, this amount would be $4,914 in 2025)\nEstimated Total Compensation at Target: $46,200+\nRwanda\nBase Salary: $37,600\n Bonus at Target Performance: 10% (~$3,760, with potential for upside. For reference, with the organization's current performance multiplier, this amount would be $4,399 in 2025)\nEstimated Total Compensation at Target: $41,360+\nThis role is fully remote, so if you are not based in Kenya or Rwanda, we will share an estimated salary benchmark for the country you are based in during the hiring process. \nWhy work at GiveDirectly?\nAt GiveDirectly, we work to ensure that you have everything you need to excel in your role and on your team, including:\nA supportive team that works hard and cares hard\nA robust health benefits plan (exact details will vary by country)\nFlexible paid time off that staff is encouraged to take\nAllowances for desk set-up and learning and development\n #LI-REMOTE","description_format":"text","description_chars":8702,"description_truncated":false,"requirements":{"experience_years_min":2,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[{"language":"English","level":"Advanced (C1)","optional":false}]},"benefits":[],"hiring_locations":[{"name":"Kenya","iso":"KE","kind":"country"},{"name":"Rwanda","iso":"RW","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Media & Entertainment","Secondary Education","Radio"],"lifecycle":[{"event":"open","at":"2026-10-15T04:48:30Z"},{"event":"close","at":"2026-10-29T16:38:24Z"}],"visa":[],"liveness":null,"pay":null,"html_url":"https://alion.io/job/this-american-life-me-associate-rapid-experimentation-remote","json_url":"https://alion.io/job/this-american-life-me-associate-rapid-experimentation-remote.json","meta":{"generated_at":"2026-11-03T05:01:05Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":6757,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-04T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":16904},"rest":"https://alion.io/mcp/rest/get_company?id=16904"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fthis-american-life-me-associate-rapid-experimentation-remote"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fthis-american-life-me-associate-rapid-experimentation-remote"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fthis-american-life-me-associate-rapid-experimentation-remote"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/this-american-life-me-associate-rapid-experimentation-remote\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fthis-american-life-me-associate-rapid-experimentation-remote"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":2588251}},{"tool":"search_jobs","arguments":{"company":"thisamericanlife.org","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":2588251},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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