Jobs at Blue Rose Research

Lead a team building LLM-powered products, including conversational interfaces, autonomous research agents, and data-driven tools. Own architecture for agents, retrieval, evaluation, and reliability infrastructure while remaining hands-on with production code. Establish engineering standards, mentor engineers, support hiring, partner with researchers and product stakeholders, and plan delivery across the election cycle.

Build LLM-powered research and analysis products for political strategists. Partner with users to shape workflows, define quality standards, design evaluations and LLM-as-judge systems, prototype features, and communicate technical tradeoffs to technical and nontechnical stakeholders. The role requires strong Python, SQL, statistical and machine learning skills, hands-on LLM and embedding experience, product judgment, and comfort with ambiguous problems.

Build end-to-end AI-powered products, including conversational interfaces, autonomous research agents, and tools that transform data into actionable insights. Partner with users, political researchers, data scientists, and engineers to define product requirements, UX designs, and production code. Present AI outputs, uncertainty, and citations in trustworthy ways; use LLMs, human annotations, and coding agents to rapidly develop high-quality software while navigating ambiguous problems.

Strategists apply political research, data, and tools to provide actionable guidance to Democratic campaigns and progressive organizations. They build trusted relationships with candidates and senior staff, address ambiguous needs proactively, operate in fast-changing election environments, present recommendations, and help improve tools for the 2028 election cycle. The role may be full-time, part-time, contract, project-based, or a short-term fellowship.

Analyze modeled outputs and research data to produce automated reporting, visualizations, statistical insights, and actionable guidance for political strategists and clients. Build analytics pipelines, conduct regression-based analysis, monitor research returns, identify data quality issues, and collaborate with engineers, machine learning scientists, statisticians, and political experts.

Build and maintain end-to-end machine learning pipelines for electoral polling and forecasting. Develop identity resolution, record linkage, survey, voter-file, and forecasting models; perform feature engineering, model evaluation, diagnostics, and data quality checks. Translate statistical outputs into strategic guidance for political organizations, collaborate with engineers and analysts, and develop political subject-matter expertise to identify anomalies and improve model reliability.

Own strategy, roadmap, and go-to-market for data-driven products serving progressive organizations. Gather and prioritize user feedback, translate needs into product specs, collaborate with engineers, designers, and data scientists, and demo features and marketing materials to clients. Anticipate user needs within the progressive political ecosystem and iterate rapidly under tight timelines.

Lead a team of data scientists developing ML-driven products, managing infrastructure, training models, and ensuring production quality while collaborating with senior leadership.