Manager / Senior Manager, Incubation
T
The AI Access Initiative (2AI)AI and global development
This role location is flexible anywhere in North America for fully remote candidates.Full-TimeManager
Salary100,000 - 135,000 USD per year
Apply NowOpens the employer's application page
Job Details
- Experience
- 3-4+ years of experience in management consulting, a rigorous startup environment, or a high-caliber NGO
Requirements
- Have 3-4+ years of experience in management consulting, a rigorous startup environment, or a high-caliber NGO, including leading a workstream from an open question to a recommendation.
- Bring hands-on experience with modeling and quantitative analysis, including building models from scratch and pressure-testing assumptions.
- Be able to critically assess research evidence, including distinguishing strong randomized controlled trials from weaker observational studies.
- Have experience engaging technical experts in fields where you are not an expert.
- Have experience in fast-paced, project-based environments with short deliverable cycles, sprints, and frequent stakeholder check-ins.
- Be able to identify the crux of an argument in an unfamiliar field and communicate confidence levels clearly in writing.
- Be comfortable with ambiguity, high throughput, and the pace of an early-stage organization.
- Be willing to travel internationally up to 25% of the time.
- Use frontier AI tools such as Claude or Claude Code daily in analytical work and have a track record of expanding how you use them.
- Have excellent written communication, especially for concise decision memos that lead with recommendations and state uncertainty honestly.
- Cost-effectiveness analysis and experience with benchmarks such as GiveWell, Coefficient Giving, DCP3, WHO-CHOICE, or GiveDirectly cash are a strong plus.
- Experience with digital product uptake and integration, LMIC contexts, international development, research or M&E, NGO programs, or sectors such as education, financial inclusion, WASH, or climate adaptation is a plus.
Responsibilities
- Own end-to-end due diligence for a portfolio of potential AI-enabled programs, from rapid screen through deep dive, and recommend what should advance, pause, or be set aside.
- Frame decision-relevant questions, identify the crux of each opportunity, and determine what evidence could change the recommendation.
- Build evidence reviews, back-of-the-envelope and full cost-effectiveness estimates, risk assessments, landscape scans, and early operational and technical scoping.
- Write calibrated decision memos for 2AI leadership, including confidence levels and reasons for recommendations.
- Co-design pilots with leadership and program teams, defining scope, sample, measurement, cost tracking, timeline, and success and stop criteria.
- Travel to prospective pilot locations to assess partners and delivery channels, negotiate scopes with implementers, and help stand up pilot infrastructure.
- Build reusable data pipelines, monitoring dashboards, evaluation templates, and partner MOUs.
- Refine the Incubator’s screening criteria, activities, sequencing, roles, and supporting tools based on real cases.
- Build, test, and document AI workflows using frontier AI tools, including Claude Code, agentic pipelines, and LLM-assisted literature synthesis.
- Help source, assess, and onboard future Incubator team members.
View Full Description & ApplyYou'll be redirected to the employer's site
