Staff Product Manager, Pricing

Root is seeking a Staff Product Manager to define the vision, strategy, and roadmap for the platforms behind its pricing capabilities. The role owns pricing tools and infrastructure, partnering with Engineering, Data Science, and Actuarial to improve model development, deployment, and pricing workflows, including through machine learning and emerging LLM technology.

Responsibilities:

• Own the Pricing platform roadmap and iterate on the vision for 2027 and beyond
• Lead a team of engineers through the full product lifecycle, from ideation to implementation and iteration
• Partner closely with Engineering, Data Science, and Actuarial to identify platform needs, prioritize investments, and define a roadmap that reduces friction from data readiness through model development, deployment, diagnostics, and monitoring
• Guide the development of end-to-end ML platform capabilities, including opportunities to leverage emerging LLM technology to automate research, modeling, validation, and deployment workflows
• Write clear product requirement documentation (PRDs) that align business strategy with engineering plans
• Cultivate a prioritized product backlog using robust product frameworks and data-driven decision making
• Accelerate the path from new data and model features to production deployment
• Improve pricing workflow speed, reliability, observability, and usability
• Build self-service tooling that enables faster experimentation and feature creation
• Reduce operational and regulatory bottlenecks across pricing and filing workflows
• Support Root’s nationwide expansion by adapting pricing capabilities to meet the specific regulatory and operational needs of new states

Requirements:

• 8+ years of product management experience, ideally in fintech, insurtech, or another data-intensive regulated environment
• Strong systems thinking and comfort with technical concepts like predictive modeling, APIs, and workflow orchestration
• Drive the integration of LLMs and advanced AI capabilities directly into daily data science workflows, transforming raw feedback into proactive models
• Data-driven mindset; experience working with data scientists and analytics partners
• Excellent communication skills with the ability to translate complex concepts into simple user experiences
• Experience in agile development methodologies
• Customer-centric mindset with demonstrated success in improving user experiences
• Detail-oriented with the ability to multitask and prioritize effectively
• Adaptable approach to scope and responsibilities in a growing organization
• Collaborative work style with the ability to influence without direct authority
• Roll-up-the-sleeves work ethic and "do-what-it-takes" attitude to drive results in a fast-paced environment
• Experience as a data scientist, analyst, or Product Manager partnering closely with data science and ML engineering teams
• Experience working in insurtech, preferably in the risk and pricing ecosystem