Manager / Senior Manager, Incubation
Evidence Action
Manager / Senior Manager, Incubation
Evidence Action
Non-profit scaling evidence-based health interventions
Evidence Action · United States (Remote) · Full-time · Posted 2026-10-19
Workplace: remote
Department: Programs
We're at an inflection point in artificial intelligence, presenting both tremendous potential opportunity and risk for people in developing countries. AI capabilities are improving on a timescale measured in months, while development systems often move on timescales measured in decades. Much of the technology needed for positive impact exists today, but few organizations exist to bridge research, deployment, and scaled implementation: we must act now to ensure AI's benefits reach people in poverty in low- and middle-income countries (LMICs).
Incubated at Evidence Action, we're rapidly scaling The AI Access Initiative, an organization focused on scaling AI-enabled 'big bets' to benefit tens or hundreds of millions of people in poverty in LMICs. We operate at the intersection of global development actors, top AI labs, and leading researchers to drive meaningful access to AI's benefits for the 3.5 billion people living in poverty globally. Given the scale of opportunity, we expect our portfolio to expand substantially, but to start, we're scaling two programs focused on AI in Agriculture and AI in Health across Africa and Asia.
We are led by former Evidence Action CEO Kanika Bahl, a founding member of Anthropic's Long-Term Benefit Trust, and advised by 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 Agriculture and Health portfolios came out of a cross-sector analysis of near- and medium-term AI opportunities in LMICs. The Incubator is the engine that produces the next set of interventions ripe for scale. It is a new, 3-5 person research and incubation team with a single mandate: find the AI-enabled interventions that could plausibly clear a field-recognized cost-effectiveness bar at scale, test them and iterate on the delivery model, and hand the ones that survive to a program team as a fundable Big Bet.
The Incubator runs a four-stage pipeline, modeled on Evidence Action's Accelerator, which derisked programs like syphilis screening in pregnancy and in-line chlorination before they scaled: rapid screens (days), deep dives (weeks), on-the-ground pilots with light-touch monitoring and evaluation (M&E) (months), and a repeatable stack of tools, partners, and playbooks that gets easier to reuse each cycle, all aimed at producing new Big Bets. Most ideas will not make it all the way through; the team's value comes from making clear, fast, well-reasoned calls on which to set aside and which to advance to a fundable Big Bet.
The Manager / Senior Manager, Incubation does the core analytical and field work behind 2AI's next Big Bets. Reporting to the Incubation Director, you will own a portfolio of potential programs and pieces of the pipeline from first screen to pilot handoff. For each program you own, you will run the assessment end to end and make the recommendation on what advances, what pauses, and what is set aside.
This is a builder role in a start-up organization. The screening process, the deep-dive template, and the pilot playbook do not exist yet. You will help create them, then use them, then improve them.
What success looks like in 12-18 months:
Own the case for (or against) potential Big Bets: an opportunity to use AI to improve the lives of millions of people in LMICs
Move winners from paper to pilot
Help build the Incubator itself
Co-design the process: work with 2AI leadership to refine the screening criteria, define key activities and sequencing, clarify roles between teams, and build the supporting tools. Continually refine the process, based on what you learn from real cases.
Make the Incubator AI-native: show how a small research team uses frontier AI tools (Claude Code, agentic pipelines, LLM-assisted literature synthesis) to work well beyond its size. Build, test, and document the AI workflows behind each key step in the Incubator process.
Support recruitment: help source, assess, and onboard future Incubator team members as the team grows.
The ideal candidate has a track record of structured, rigorous problem solving in fast, project-based environments: taking in a lot of open-ended information, structuring a path to answer a specific question, and getting to a clear recommendation for stakeholders.
You have also used AI to meaningfully enhance your work, and are energized by the prospect of working to translate AI capabilities to practical applications. The role sits at the nexus of research, analytics, strategy and operations: it is for someone who wants to own the question "what should 2AI do next, and how do we know," and who enjoys being accountable for the answer.
You will likely have:
Nice to have:
Experience working on digital product uptake and integration (product strategy, user needs, adoption, unit economics), ideally including AI products, and ideally in an LMIC context, in either the for-profit or non-profit sector.
Experience working in LMIC contexts and/or working in the international development sector.
Position Location
This role location is flexible anywhere in North America for fully remote candidates. This role requires the ability to travel internationally up to 25% of the time. 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.
The expected role range for this 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 is: $100,000-135,000 USD.
While we are currently incubated at Evidence Action, 2AI plans to spin out on November 1, 2026 as an independent organization. New employees will be hired directly by 2AI. We will offer a comprehensive benefits package, including health, vision, and dental, retirement plans, generous and flexible leave options, as well as other employee perks.
Interview Process Expectations
Given this role will have a significant impact on our organization's early growth, we're focused on finding the right long-term fit while remaining as respectful of your time as possible. Our process is designed to explore both our shared culture and how we'd actually work together day-to-day.
Our process:
Screening call: 30 mins - 1 hour
Performance task: 2 hours (practical exercise)
Team interviews: Two one-hour sessions with the people you'll work with most directly, including a short verbal case
Final interview: 1 hour
Reference checks
Use of AI in our hiring process: We believe strongly in the importance of human judgment throughout hiring, from screening to final decisions. We use AI to support our team across the process, including application review, note-taking, scheduling, and project management. AI does not make hiring decisions or reject candidates. We do not use models that train on inputs or candidate data. By submitting your application, you acknowledge that we will use your information for recruitment purposes, including through these AI-supported tools, as described in our privacy notice.
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Non-profit scaling evidence-based health interventions
Evidence Action reduces poverty and improves health by scaling proven, cost-effective interventions in low-income regions. Its programs include Deworm the World, which works with governments to run national school-based deworming programs, and Dispensers for Safe Water, which installs chlorine dispensers at rural water sources to provide safe drinking water. The organization supports governments, communities, and other nonprofits by delivering programs that have been rigorously evaluated for impact and cost efficiency, relying on charitable donations, grants, and partnerships to fund scaling. Unlike groups that offer generic aid, Evidence Action emphasizes evidence-based results and tight use of resources to achieve measurable improvements. The goal is to reach millions more people with proven health and poverty-reduction interventions and to demonstrate clear, scalable impact.
Explore more opportunities at Evidence Action