About the AI for Good Project, incubated at Evidence Action
We’re at an inflection point in artificial intelligence – presenting both tremendous potential opportunity and risk for people in developing countries. Rather than allowing the poverty gap to expand, poor countries have an opportunity to leapfrog development milestones with AI-powered innovations. Recognizing the rapid pace of innovation on AI models, Evidence Action is incubating a new project, anticipated to be launched as a new organization, with a mission to drive AI readiness and meaningful access to the benefits of AI for the 3.5 billion people living in poverty globally.
Led by our CEO Kanika Bahl, a founding member of Anthropic’s Long-Term Benefit Trust, we’re launching a two-year drive to fuel these catalytic bets. Our project advisors include Nobel Laureate Michael Kremer; Dario Amodei, CEO of Anthropic; and Kent Walker, President, Global Affairs for Alphabet and Google. This work builds on Evidence Action’s track record reaching 530M+ people with cost-effective, evidence-based programs across 9 countries in Africa and Asia, with a focus on last-mile delivery.
Our approachOur Project’s goal is to build an AI-native organization capable of scaling big bets with the potential to reach tens or hundreds of millions of individuals living in poverty. We will focus both on delivering near-term, tractable direct impact and supporting governments to establish an enabling environment for the ‘AI for Good’ ecosystem, including:
- Scaling “big bet” AI interventions to impact tens or hundreds of millions, such as delivering AI-enabled forecasts to smallholder farmers to improve yields and earnings, leveraging AI to dramatically improve medical diagnosis and treatment, implementing frontier systems to identify and mitigate disease outbreaks, or putting personalized AI tutors into the hands of students to drive reductions to system-level educational attainment gaps. As part of this work, we will create “public good,” open-sourced playbooks, toolkits, and insights that define how to design and launch tractable and impactful AI-enabled programs. When relevant, we will partner with leading AI labs to shape technical offerings, including adapting for underrepresented languages, bandwidth constraints, etc.
- Partnering with governments in low- and middle-income countries (LMICs) to drive regulatory changes, policy, and investments necessary to unlock beneficial use cases at national scale, while proactively mitigating the downside risks of AI.
Building on our recent Cross-Sector Analysis of near and medium-term AI opportunities in LMICs, we are advancing the highest-scoring interventions through a rigorous vetting process, including evidence reviews, cost-effectiveness analyses, risk assessments, and early operational/technical scoping. We are excited about the opportunity to deliver AI-enabled weather forecasting for smallholder farmers, and are now running deeper analysis on opportunities in global health, including diagnostic medical large language models (LLMs) and instant health intelligence work in disease outbreak prediction. We expect to have a picture of priority interventions by early 2026.
The RoleWe are seeking a rigorous, high-ownership, and fast-paced Program Lead to join our founding team and lead the design and execution of high-quality programs that harness frontier AI for large-scale impact in LMICs.
You will play a pivotal role in translating cutting-edge science into government-ready solutions - bridging worlds between AI labs, global development experts, researchers, frontline implementers, and people living in poverty in low- and middle-income countries.
We’re entering a new phase in global development and AI – the next five years may have an outsized effect on the next century of impact. History shows that without a clear driver and coordinated action, complex innovations in the developing world are at risk of languishing or taking decades to drive uptake. This is an opportunity to ensure that AI’s breakthroughs reach those who stand to benefit most yet are at greatest risk of being left behind.
You will:
- Shape and lead program strategy for one or more priority verticals (e.g., health, agriculture/weather, education) while remaining a strong generalist across the portfolio.
- Engage with governments and partners: Build trusted relationships at national and state levels to support adoption, policy, and delivery at scale.
- Design and oversee pilots that rigorously test whether AI-enabled approaches improve outcomes and can scale cost-effectively.
- Translate between sectors: Serve as an effective bridge among researchers, AI labs, implementers, funders, and government counterparts.
- Build and lead teams: Recruit, coach, and manage high-performing staff and partners to deliver results.
- Drive learning and quality: Ensure that our programs use evidence, measurement, and feedback loops to improve quickly.
- Operate in ambiguity: Chart paths forward in new problem spaces with urgency and pragmatism.
Position Location
This role location is flexible anywhere within the United States for fully remote candidates. Please note this role requires significant travel (~30-60%) to partner countries.
RequirementsBackground
The ideal candidate is an exceptional program lead with strong initiative and the ability to drive outcomes in a fast-moving, high-stakes environment. Given the startup nature of this work, we seek contributors with high throughput, strong work ethic, and willingness to lean in and work extended hours. Ideal candidates can excel as both an individual contributor and team leader.
You will likely have:
- Experience as a builder in international development, global health, or adjacent fields, with a track record significantly growing organizations and/or programs and delivering last-mile impact.
- Training or early career experience in a high-rigor environment (e.g., top-tier management consulting, high-growth NGO program leadership, strategy/econ research) and the ability to rapidly get up to speed in new technical areas.
- Demonstrated success leading programs or pilots from idea to scaled delivery, including managing multi-stakeholder coalitions and field teams.
- A track record as a strong people manager and builder: able to set clear standards, empower others, and cultivate a high-performance culture.
- Experience working with African and/or Asian governments to drive large-scale change.
- High EQ and the ability to influence across diverse partners - from AI lab researchers to frontline delivery staff to senior government officials.
- Strong fluency with AI tools, and eager to experiment, learn, and adapt to emerging technologies.
- Comfort with ambiguity and fast iteration; can define and test hypotheses, adapt quickly, and maintain focus on impact.
- Excellent written and verbal communication skills; able to synthesize complex technical ideas into crisp narratives for different audiences.
- Willingness and ability to travel extensively internationally (~30-60%).
- Passion for the mission of ensuring that the benefits of frontier AI reach the world’s poorest populations, while mitigating its downside risks.
We are unable to sponsor or take over sponsorship of a U.S. employment visa at this time. Applicants must be legally authorized to work in the U.S. for roles based in the U.S.
Evidence Action is an Equal Opportunity Employer with a commitment to diversity. All individuals, regardless of personal characteristics, are encouraged to apply.
Benefits
The expected role range for this US position is listed below. We consider multiple factors when determining the base salary for a role, including but not limited to: role scope, program budgets, internal equity, and a candidate's qualifications and/or prior experience.
Note: Pay and benefits will be commensurate with the role specifications, local statutory requirements, and the cost of labor in the markets where we operate.
The pay range for this role: $150,000-$155,000 per year
For US based roles, Evidence Action provides comprehensive benefits including international health care, HSA/FSA options, life insurance, disability coverage, retirement plans with a matching component, generous and flexible leave options, as well as other employee perks on a reimbursement basis. For more information visit our careers page or ask our recruiting team!
Top Skills
What We Do
Evidence Action is a global non-profit operating in seven countries in Africa and Asia. We were founded in 2013 to address a big gap in the fight against global poverty–many of the most promising interventions are either implemented at a very small scale, or not at all. We set out to address this gap by building programs that would scale evidence-based and cost-effective interventions, leading to significant improvements in quality of life for hundreds of millions.
Our model worked. In less than a decade, our two flagship programs, the Deworm the World Initiative and Dispensers for Safe Water, have grown to measurably impact over 280 million people each year by supporting governments to deworm and through our last-mile delivery network providing safe water access. This success is achieved through the dedication and talent of our staff, the hard work of our partners, and the commitment of our supporters.
Every part of our work across the lifecycle of our programs is driven by evidence. This starts with the interventions we select to invest in, and continues as we use real-time data to refine and adapt our operations, including responding rapidly and effectively to resolve challenges as they arise.
Our pursuit of cost-effectiveness is driven by a recognition that when we optimize every aspect of our programs, we can reach as many people–and do as much good– as possible with each dollar. We measure value for money in terms of the number of lives we can help improve.
Scale enables our massive impact. We invest in solutions for which the need is great, and leverage existing networks like schools or community organizations to grow rapidly, minimize costs, and increase efficiencies. We think big and act urgently–because poverty does not wait.
By 2024, we seek to double our impact. We are strengthening and expanding our existing programs, and working to identify a new generation of evidence-based and cost-effective interventions that we can scale to reach millions more








