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Added 1 min ago
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Added 42 mins ago
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(Associate) Director, Program Strategy, The AI Access Initiative
Evidence Action
Remote, United States
- $142,000 to $162,000 USD / year
…countries. It includes people leadership, managing at least one Senior…
Added 42 mins ago
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Evidence Action

(Associate) Director, Program Strategy, The AI Access Initiative

Remote, United States

$142,000 to $162,000 USD / year

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Job details

Pay: $142,000 to $162,000 USD / year
Posting language: English
Posted: Sep 8, 2026

Original job description

About The AI Access Initiative (2AI) 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 LMICs.

Incubated at Evidence Action, we're 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 low- and middle-income countries (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. We create "public good," open-sourced playbooks, toolkits, and insights that define how to design and launch tractable and impactful AI-enabled programs. 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.

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.

The Role 2AI is building fast. We have a founding team, two live program portfolios, and a pipeline of opportunities that will drive significant expansion. The programs we are running have credible pathways to 100s of millions of people. While incubated at Evidence Action, we plan to spin out in Q4 ‘26.

Our Agriculture portfolio is scaling AI-enabled weather forecasting services to reach tens of millions of smallholder farmers, in close partnership with state and national governments in India and soon other low-and-middle income countries. We are seeking a rigorous, high-ownership Associate Director or Director, Program Strategy to serve as the center of excellence for this work: owning the product roadmap for what we build, test, and scale, from new forecast types and delivery channels to how forecasts are framed for farmers and which new agriculture interventions we pursue next. This role reports to the Vice President (VP), Agriculture and works alongside our (Associate) Director, Expansion & Partnerships who owns the geographic roadmap and go-to-market in new countries. It includes people leadership, managing at least one Senior Manager.

You Will:

Own the product strategy and roadmap: With the VP, Agriculture, build and drive an ambitious multi-year strategy and roadmap for our agriculture work, including key outcomes, metrics, and resource mobilization.
Serve as the center of excellence for our agriculture portfolio: Set core metrics and success indicators, and ensure our forecasts are high-impact, our communications to farmers are optimized, and our forecasting models and messaging are driving measurable, high-quality outcomes.
Scope, pilot, and scale new channels to reach farmers: Identify and test emerging ways to find and reach farmers, such as government digital agriculture platforms, WhatsApp, and social media, assessing reach, cost, and effectiveness against existing channels.
Scope and scale other agriculture innovations: Assess new directions for the portfolio, including benchmarking, advisory services, and entirely new intervention types, using clear evidence and cost-effectiveness criteria to decide what to pursue and why..
Oversee development of novel forecasts: Partner with academics to develop high-impact forecasts of new types, managing a roadmap for how new forecasts are prioritized, developed, and benchmarked. This could include hiring and managing post-doctoral students to support in model benchmarking or dataset creation.
Own forecast message testing: Run A/B tests across format, framing, and delivery mechanism to build best practices on what drives farmer comprehension and behavior change.
Partner across the sector: Create new and nurture existing relationships with academic institutions, research groups, delivery partners, and other agriculture organizations.
Support cost-effectiveness analysis and M&E: Develop and update cost-effectiveness (CE) analyses for our agriculture programs, and support in-country teams to implement monitoring and evaluation (M&E) and act on the insights.
Develop best practices and thought leadership: Across all of the above, build best practices and replicable toolkits that can be applied elsewhere by others. Share key learnings with the sector through toolkits, blogs, and other public-good resources.

The ideal candidate is an exceptional builder who brings a product mindset: someone who can 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.

We are still actively scoping our roles and structure, reflecting the dynamism of this fast-growing phase of the organization - both the fun and the realities that come with rapid growth. 2AI is open to candidates across a range of seniority levels for this role; title, scope, and compensation will be assessed candidly with each candidate throughout the process based on their experience and fit.

You will likely have:

7-10+ years' experience as a builder in international development, consulting, or an agriculture adjacent organization - including building, delivering, and scaling programs or products in LMICs.
Experience testing products or programs to inform decisions (e.g., A/B tests, pilots, or user research), and translating results into iteration, e.g. redesigning message content, format, or delivery channel.
Track record translating evaluation results into product or program iteration, e.g. using comprehension or uptake data to redesign message content, format, or delivery channel.
A proven track record of significantly scaling organizations and/or programs to deliver impact at scale, preferably in close partnership with national governments.
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 including AI/ML forecasting concepts.
Demonstrated success leading international development programs from idea to scaled delivery, including managing multi-stakeholder coalitions with governments, research institutions, NGO implementers, and private sector partners.
A track record as a strong people manager and builder: able to set clear standards, empower others, and cultivate a high-performance culture across distributed and field-based teams.
High EQ and the ability to influence across diverse partners, from AI/forecasting 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 (e.g., AI/ML weather forecasting language) into crisp narratives for different audiences.
Willingness and ability to travel internationally (~20%) to India and other low-and-middle income countries.
Passion for the mission of ensuring that the benefits of frontier AI reach the world's poorest populations, while mitigating its downside risks.

Position Location This role location is flexible anywhere within the United States for fully remote candidates. Please note this role requires travel (~10-20%) to partner countries. 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 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 is: $142,000 - $162,000 per year. While we are currently incubated at Evidence Action, 2AI plans to spin out in Q4 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. 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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Skills

Microsoft Access
Forecasting
Leadership
WhatsApp
Research
ML
Communication skills

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