Staff Product Manager, Pricing at Root
- Company: Root
- Location: Remote, United States
- Salary: $168K – $211K
- Job type: full time
- Workplace: remote
- Posted: 2026-10-23
Job description
Root was founded on the belief that car insurance is broken, and we set out to change it. We’re harnessing the power of technology to revolutionize this archaic, complicated industry. Using machine learning and mobile telematic platforms, we’ve built one of the most innovative insurtech companies in the world. The Opportunity Root is looking for a Staff Product Manager to define the vision, strategy, and roadmap for the platforms that power our pricing advantage. This is a highly cross-functional PM role focused on enabling faster, higher-quality pricing decisions and model deployment across the company. You’ll own critical pricing capabilities, including our internal tool Pricing Platform System (PPS), and lead the evolution of the infrastructure, tooling, and decisioning systems at the center of Root’s pricing ecosystem. Pricing is one of Root’s core strategic advantages, and this role will shape the systems that determine how quickly we turn data and models into market-leading pricing decisions. In this role, you will help build the next generation of Root’s machine learning platform for pricing, creating the infrastructure that allows researchers to move rapidly from experimentation to production. You will work closely with researchers on problems including feature pipelines and feature stores, reproducible model training and orchestration, model registries and versioning, automated validation, model serving, production observability, and tooling that ensures consistency between research and production. You will also explore how emerging LLM technology can revolutionize the data science workflow, improving the way models are developed, tested, deployed, and maintained, with the goal of dramatically reducing the time and effort required to turn new research into production pricing models. Salary Range : $168,300 - $210,980 (Eligible for competitive bonus and equity offering) Root is a “work where it works best” company. Meaning we will support you working in whatever location that works best for you across the US. We will continue to have our headquarters in Columbus, Ohio. How You Will Make an Impact 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 makingAccelerate 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 What You Will Need to Succeed 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 comple
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