Blue Rose Research

Customer Success Manager

• Serving as first point of contact and advocate for clients using our polling products, triaging incoming requests, resolving what you can, and escalating to engineering or data science when deeper troubleshooting is needed
• Proactively identifying and pitching relevant use cases and features to clients to maximize tool adoption and value
• Partnering with our internal teams to think through and solve the novel challenges that come with getting new tools into the hands of a diverse community of users for the first time
• Onboarding new client users to our polling tools and interfaces, including guided walkthroughs, training sessions, and materials that meet clients where they are technically
• Writing and maintaining product documentation: user guides, FAQs, release notes, and how-to resources that help clients self-serve and reduce friction as we ship new features
• Tracking client feedback, feature requests, and recurring support themes to surface patterns, prioritize improvements, and inform the product roadmap alongside engineering and data science
• Providing product feedback to engineers to improve our tools for internal and external usage, including the interfaces clients and internal teams use to access and interact with our research

Client Success Manager – Polling Tools and Products

Data Analyst

• Serving as the primary point of contact for a portfolio of clients - including those working on AI policy, advocacy, and communications - building trusted relationships and ensuring research findings are delivered clearly, on time, and with strategic context
• Designing and launching surveys that will be taken by hundreds of thousands of Americans, with a focus on public attitudes toward AI, technology policy, and related issues
• Overseeing the fielding of multiple surveys simultaneously - managing timelines, budgets, and data collection targets while liaising between data scientists, engineers, and client-facing stakeholders
• Analyzing data to answer questions from policy advocates, strategists, and clients operating in the AI space
• Building subject matter expertise in AI policy and public opinion, and thinking critically about our data in order to discern real trends from potential data quality issues to flag for our machine learning data scientists
• Supporting external outreach efforts, including presentations to clients, political partners, and other vendors and consultants
• Partnering with BRR leadership to inform decisions about research scope and prioritization - including what questions are worth asking, what use cases are and aren't well-suited to our tooling, and how to deploy our research capacity where it will have the most impact
• Contributing new ideas to the ways we analyze, interpret, and communicate our data - we strive to deliver the best strategic guidance and believe that everyone on the team is part of that goal
• Providing product feedback to engineers to improve our tools for internal and external usage, including the interfaces clients and internal teams use to access and interact with our research.

Analytics Manager – Artificial Intelligence Policy and Research

Machine Learning Engineer

• Lead a team of senior data scientists focused on fine-tuning large language models
• Collaborate with senior leadership to define the team roadmap and align priorities
• Lead weekly meetings and standups, keeping the team unblocked
• Provide technical direction across projects using open-weight and off-the-shelf LLMs
• Oversee experimentation, optimization, and data quality to ensure models are production-ready
• Foster creative problem-solving and methodological rigor to address challenges
• Translate complex model outputs into actionable insights for stakeholders

Client Success Manager – Polling Tools and Products

Analytics Manager – Artificial Intelligence Policy and Research

Machine Learning Lead, LLM