In A Nutshell
This is a senior opportunity-scouting and diligence role. You will range across AI research and the builder ecosystem, civil society, government, philanthropy, and communities to surface emerging capabilities, unmet needs, promising ideas, and exceptional teams. You will determine which opportunities are technically credible, socially valuable, differentiated, and positioned for meaningful adoption.
Responsibilities
- Build a high-quality opportunity pipeline. Develop trusted relationships with AI researchers, engineers, founders, nonprofit leaders, public servants, domain experts, funders, and frontline organizations; use those conversations to surface ideas and capabilities that others may be overlooking.
- Track the frontier and connect it to real needs. Stay current on rapidly changing AI capabilities, limitations, costs, and implementation patterns, and identify where they create newly possible approaches to consequential social problems.
- Turn signals into concrete opportunity theses. Define the intended user, problem, proposed intervention, source of value, differentiation, risks, and path to adoption so that a broad idea can be evaluated and acted on.
- Conduct technical and strategic diligence. Assess model fit, data and infrastructure requirements, safety, cost, organizational readiness, distribution, durability, and potential for scale; distinguish what can be built now from what requires further technical progress.
- Pressure-test opportunities in the field. Work with prospective users, practitioners, and domain experts through interviews, workshops, and field visits to validate demand, surface constraints, and understand how a solution would need to fit existing systems.
- Recommend the path to execution. For the strongest opportunities, identify who should build, what resources and partners are required, and what structure best fits; present clear fund, partner, prototype, recruit, incubate, revisit, or stop recommendations. Help establish a repeatable scouting and diligence approach for the Foundation.
Skillset
- Bring deep technical judgment about AI. You understand current model capabilities and limitations, can interrogate technical claims, and can assess feasibility credibly with engineers and researchers.
- Have built technology or products. You have enough first-hand 0-to-1 experience to understand what makes an idea buildable, where execution usually fails, and what a strong founding or product team needs.
- See important possibilities early. You are intellectually curious, follow weak signals across disciplines, and connect emerging technical capabilities to problems that may not yet have obvious solutions.
- Run ideas down with rigor. You know how to move from an intriguing conversation to evidence: finding the right experts, testing assumptions, synthesizing conflicting information, and identifying the decisive unknowns.
- Exercise strong portfolio judgment. You can compare many interesting opportunities, prioritize the few that matter most, and stop work when the evidence does not support further investment.
- Move fluently across worlds. You can earn trust with technical builders, institutional leaders, frontline organizations, and communities, then translate what you learn into precise recommendations for technical and nontechnical audiences.
- Care deeply about public benefit. You bring sound judgment about safety, equity, local context, and the responsibilities that come with deploying technology in people’s lives.
