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 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 • Ability to travel 10% of the time (quarterly in-person team events) Preferred: • 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 As part of Root's interview process, we kindly ask that all candidates be on camera for virtual interviews. This helps us create a more personal and engaging experience for both you and our interviewers. Being on camera is a standard requirement for our process and part of how we assess fit and communication style, so we do require it to move forward with any applicant's candidacy. If you have any concerns, feel free to let us know once you are contacted. We’re happy to talk it through. Please see our Privacy Notice available HERE for more information on how we process your personal data. Consistent with the Americans with Disabilities Act (ADA) and the Civil Rights Act of 1964, it is the policy of Root to provide reasonable accommodation when requested by a qualified applicant or candidate with a disability, unless such accommodation would cause an undue hardship for Root. The policy regarding requests for reasonable accommodation applies to all aspects of the hiring process. If reasonable accommodation is needed, please contact recruiting@joinroot.com.

Requirements

Must-haves

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.
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
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 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

Nice-to-haves

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
Please see our Privacy Notice available HERE for more information on how we process your personal data.

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Keywords to mirror

machine learningllmmlaiagile

Platform: rippling
Effort: medium

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