Execute ambitious research agendas, answer complex questions, and inform high-impact grantmaking decisions.
Combine rigorous evidence review, cost-effectiveness modeling, and thoughtful judgment.
Develop into Senior Researcher or Senior Program Officer roles, leading research agendas or owning complex grantmaking portfolios.
GiveWell is a research organization that identifies and funds cost-effective giving opportunities, focusing on global health and well-being. Their work is funded by tens of thousands of donors who rely on their research to inform their giving; GiveWell has grown from directing $1.5 million in 2010 to directing more than $400 million in 2025.
Own GiveDirectly’s impact learning agenda for our core Large Lump Sum (LLS) programming.
Define measurement and analysis best-practices for LLS programs, providing technical leadership for org-wide M&E standards.
Support LLS “default” product design through primary analysis and evidence reviews on key features.
GiveDirectly aims to reshape international giving by providing cash grants directly to the world’s poorest. Their global team of ~150, and country operations teams of ~650, span 21 different countries and 69 languages, with a candid, analytical, agile, and non-hierarchical culture.
Own the digital product strategy, defining how products work together and setting the vision for the portfolio.
Transform products with strong potential into exceptional experiences by driving success metrics.
Build a high-performing product culture and guide product managers.
The Centre for Effective Altruism (CEA) stewards the movement of people putting effective altruism principles into practice to solve the world's most pressing problems. Their work centers on growing and supporting a global community of people who rigorously analyze where they can do the most good – and take action on those insights. CEA has a headcount that grew from 42 to 66 core staff.
Co-develop AWF's major donor fundraising strategy with the Chair, including approaches to donor segmentation, gift levels, acquisition, and long-term portfolio growth
Own the donor cultivation process – ensuring every donor in our portfolio is actively and intentionally engaged, with a clear sense of where they are in their journey with AWF and what comes next
Build AWF's donor engagement infrastructure from the ground up – including our CRM (Bloomerang), and other systems that keep cultivation active and nothing slipping through the cracks
The Centre for Effective Altruism (CEA) stewards the movement of people putting effective altruism principles into practice to solve the world's most pressing problems. In 2025, their headcount grew from 42 to 66 core staff and they focus on growing a global community who rigorously analyze where they can do the most good.
Own the strategy and performance of individual giving revenue, improving acquisition conversion, recurring giving, retention, upgrades, and donor lifetime value.
Design and launch a repeatable, scalable legacy giving program.
Optimize the end-to-end donation experience — including landing pages, forms, checkout, payment options, and upgrade flows — in partnership with Engineering and Product.
GiveDirectly (GD) aims to reshape international giving – and millions of lives – by providing cash grants directly to the world’s poorest. Our culture is candid, analytical, agile, and non-hierarchical, with a global team of ~150, and country operations teams of ~650, spanning 21 different countries.
Develop novel measurement approaches for understanding how model capabilities emerge and evolve during RL training
Lead strategic evaluation coverage across the company
Anthropic's mission is to create reliable, interpretable, and steerable AI systems, ensuring AI is safe and beneficial for users and society. They are a growing group of researchers, engineers, policy experts, and business leaders committed to building beneficial AI systems.
Construct expert benchmarks: Build and validate real-world investment cases and portfolio management frameworks to evaluate AI systems.
Stress-test model reasoning: Diagnose weaknesses in AI-generated investment analyses, identifying where logic or market intuition fails.
Design frameworks: Translate how institutional investors evaluate securities and manage risk into problems that push the limits of AI reasoning.
Mentis AI operates where institutional investment expertise meets frontier AI systems. They combine asset management experience with machine learning and applied AI research, collaborating with leading AI labs to improve how models reason and make decisions in financial contexts.
Fully own end-to-end design, planning, and execution of cash projects, and coordinate with external and internal stakeholders to ensure successful end-to-end execution.
Identify and advance macro-level improvements in U.S. operations, program management, and reporting processes.
Establish and maintain high quality relationships with donors and operational partners.
GiveDirectly (GD) aims to reshape international giving by providing cash grants directly to the world’s poorest. They have raised over $1B since launching in 2011 and delivered cash to more than 2 million people in 15 different countries, with a global team of ~150 and country operations teams of ~650 spanning 21 different countries and 69 languages.
Review AI-generated fund reports against institutional-grade standards.
Evaluate document classification and extraction quality.
Improve scoring and benchmarking models.
Schematic is building the infrastructure layer for institutional investing. They are a small, technical team that ships fast, with no bureaucracy or committees.
Supporting the administration of existing partnerships and programs.
Creating materials to aid in discussions with other research funders about alternative proteins.
The Good Food Institute (GFI) is a nonprofit think tank working to make the global food system better for the planet, people, and animals. GFI is an international network of organizations advancing alternative proteins as an essential solution needed to meet the world’s climate, global health, food security, and biodiversity goals.
Define the technical roadmap for AI feature delivery through cross-team collaboration.
Lead, coach, and inspire a team that is building capabilities that are critical to customer and business success.
Own delivery of delightful, scalable and reliable capabilities through rapid development cycles.
Affinity's Relationship Intelligence platform helps dealmakers find, manage, and close more deals by delivering automated relationship insights. They have raised $120M and support over 3,000 customers worldwide; they have also received Inc. and Fortune Best Workplaces awards.
Airtable is the no-code app platform that empowers people closest to the work to accelerate their most critical business processes. More than 500,000 organizations, including 80% of the Fortune 100, rely on Airtable to transform how work gets done.
Lead the AI Evaluation team, owning staffing, coaching, performance management, and delivery of evaluation and testing frameworks.
Manage the AI evaluation lifecycle — including pre-launch testing, simulation, and post-deployment health monitoring — ensuring alignment with governance standards and expectations.
Create domain-specific evaluation tracks (e.g., Compliance & Risk, Bot Experience, Agent Experience) to assess AI quality from multiple perspectives.
Chime is a financial technology company that believes everyone can achieve financial progress. They are a team of problem solvers, dreamers, and builders with one shared obsession: their members.
Build and manage a fund focused on investments resilient to AI disruption, political instability, and structural economic shifts
Develop and own the investment thesis and portfolio strategy with a 20-year horizon
Lead capital raising from day one — sourcing, cultivating, and closing LP relationships is the core of this role
They partner with organizations of all sizes to explore, design, and implement AI strategies that are secure, scalable, and human-centered. The company is scaling rapidly and has a growing pipeline of opportunities; they are a company of doers and leaders roll up their sleeves.
Construct expert benchmarks: Build and validate real-world underwriting models and investment cases used to evaluate frontier AI systems.
Stress-test model reasoning: Diagnose weaknesses in AI-generated real estate analyses and identify where logic or market intuition fail.
Design frameworks: Translate how REPE professionals evaluate acquisitions and structure transactions into problems that push the limits of AI reasoning.
Mentis AI operates at the intersection of institutional finance expertise and frontier AI systems. Our team combines financial services experience with machine learning and applied AI research, collaborating with leading AI labs to improve how models reason and make decisions.
Build and manage best-in-class private asset offerings for Wealthsimple clients.
Collaborate across teams to support high-priority initiatives.
Translate investor needs into clear requirements and analyses.
Wealthsimple is on a mission to help everyone achieve financial freedom by reimagining what it means to manage your money. They are the largest fintech company in Canada, with 3+ million users who trust them with more than $100 billion in assets.
Provide strategic insight on emerging funding opportunities and global philanthropic trends.
Drive revenue growth via the implementation of the private sector fundraising plan.
Lead and motivate the Private Sector Fundraising team, providing strategic direction.
DNDi is dedicated to driving visibility, influence, and financial sustainability. They focus on ensuring that they are visible, supported by committed stakeholders, and successful in securing the resources needed to deliver on its mission.
Support model launch readiness by running evaluations, monitoring and interpreting results, and surfacing regressions or unexpected behavior changes to relevant stakeholders
Partner closely with policy and domain experts throughout the evaluation lifecycle — from identifying risks and scoping the right evaluation approach, to coordinating creation of new evals and ensuring existing ones remain current with evolving policies, threat vectors, and model capabilities
Work with cross-functional stakeholders to help manage evaluation outcomes, including interpreting results and driving mitigations where needed
Anthropic's mission is to create reliable, interpretable, and steerable AI systems. Their team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
Own our surrogate strategy: Improving our approach & measurement, ensuring we are pursuing best tactics across a portfolio of approaches and relationships.
Build new and existing surrogate relationships: Proactively identify, vet, and cultivate relationships with creators and public figures across GiveDirectly's cause areas at scale and with speed.
Oversee surrogate campaigns (earned and sponsored): Ensure high quality execution of formal surrogate campaigns from briefing through post-campaign analysis.
GiveDirectly (GD) aims to reshape international giving – and millions of lives – by providing cash grants directly to the world’s poorest. Our culture is candid, analytical, agile, and non-hierarchical.