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, low-income countries have an opportunity to leapfrog development milestones with AI-powered innovations. Incubated at Evidence Action, we’re launching 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 will operate at the intersection of global development actors, top AI labs, and leading researchers to drive meaningful access to the benefits of AI for the 3.5 billion people living in poverty globally. We will 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 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.
We’re building an AI-native organization focused on designing solutions to reach tens or hundreds of millions of individuals living in poverty. We will focus both on delivering near-term, tractable direct impact as well as assisting governments to grow capacity and build enabling environments for the AI for Good ecosystem, including:
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.
The AI Access Initiative is at an early and critical juncture. We’re building a high-performing, globally distributed team from the ground up. We are hiring a People Operations Leader who can make this possible. In this role, you will have the opportunity to define and scale people operations for our team. This includes building lean systems to hire, onboard, and retain top talent to unlock meaningful upside for people in poverty globally.
This role sits at the intersection of talent, performance, and organizational design. You will partner closely with the leadership team, act as a strategic thought partner and tactical operator on people decisions, and proactively look around corners on talent risk. You care deeply about the mission. You want to support the humans on this team including their growth, wellbeing, and ability to focus on work that matters, while building the systems and culture that make achieving our ambitious mission possible. You are excited to drive the engine behind the growth of a fast-scaling organization - growing by 20+ people in the coming year, and scaling meaningfully from there.
Level: We are open to considering exceptional candidates at the Senior Manager, Associate Director, and Director levels, depending on experience and fit. We will adjust the scope of the role based on the job level.
Recruitment
Talent Density
People Operations Infrastructure
Strategic Thought Partnership
Currently at The AI Access Initiative, no two days are the same. On a typical day, you might create a structured hiring process for a country director role, present a salary benchmarking analysis to the COO, and coach a finalist candidate in Nairobi through their final offer decision. You'll also catch a gap in a new hire's onboarding plan before it becomes a retention issue, and help an employee with an insurance question by the end of day.
Requirements
This role location is flexible anywhere within the United States for fully remote candidates. Please note this role may require travel (~10%) 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.
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: $110,000 - $155,000 per year.
This role will initially be housed at Evidence Action, with the explicit plan to transfer with the AI Access Initiative as a founding member of the team when that project is spun out as a new entity later this year. At that point, benefits and policies may change. 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!