Lead a team building LLM-powered products, setting technical direction and architecture while staying hands-on in code, raising engineering quality, and mentoring engineers from prototypes through production.
Lead the development of a practical economic policy plan for the AI era, turning key choices into testable proposals and refining recommendations with researchers, experts, and policymakers.
Draft and edit research-based communications, prepare political and press briefings, monitor media coverage, and organize messaging materials to support Democratic campaigns and political partners.
Build partnerships across AI safety, policy, philanthropy, and politics; lead AI client research projects and coordinate the research agenda, translating polling and message-testing findings into practical guidance.
Apply political research, data, and tools to help Democratic campaigns turn findings into actionable strategy, advise campaign stakeholders, and improve offerings for the 2028 election cycle.
Build LLM-powered research and analysis products for political strategists, shaping user workflows and model capabilities while designing evaluations that ensure features are accurate, well-grounded, and useful.
Lead a team of senior data scientists building production LLM research tools, owning the roadmap and hands-on work to evaluate, improve, and deploy reliable AI systems.
Own the strategy and delivery of research infrastructure and a new polling product, translating user needs into roadmaps and partnering with engineering and data science to launch, measure, and improve products.
Build AI-powered products—including conversational interfaces, research agents, and data tools—by combining user research, product design, and production engineering to make complex information actionable and trustworthy.
Submit your resume for consideration for future roles suited to your background, with potential opportunities to contribute research, products, and strategic insights for progressive organizations.
Build and evaluate end-to-end machine learning models for polling, election forecasting, and resource allocation, translating statistical outputs into actionable guidance for campaigns and partner organizations.
Analyze modeled data on public opinion and voter behavior, build automated reporting and visualizations, and deliver actionable research insights to political strategists and internal stakeholders.
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