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Root Insurance

Direct-to-consumer auto insurer with telematics

Staff Product Manager - Pricing

Technical Product ManagementUpdated on Nov 14
Full-timeRemote in USA

About the Job

Requirements

  • At least 8 years of product management experience, ideally in fintech, insurtech, or another data-intensive regulated environment.
  • Strong systems thinking and comfort with technical concepts such as predictive modeling, application programming interfaces, and workflow orchestration.
  • Ability to drive the integration of large language models and advanced artificial intelligence capabilities into daily data science workflows, transforming raw feedback into proactive models.
  • A data-driven mindset and experience working with data scientists and analytics partners.
  • Ability to translate complex concepts into simple user experiences.
  • Experience with agile development methodologies.
  • A customer-centric mindset with demonstrated success in improving user experiences.
  • Ability to multitask and prioritize effectively.
  • An adaptable approach to scope and responsibilities in a growing organization.
  • Ability to influence without direct authority.
  • Ability to travel 10% of the time for quarterly in-person team events.
  • All candidates must be on camera for virtual interviews.

Responsibilities

  • Define the vision, strategy, and roadmap for the platforms powering Root’s pricing advantage, including the Pricing Platform System.
  • Own the Pricing platform roadmap and iterate on the vision for 2027 and beyond.
  • Lead engineers through the full product lifecycle, from ideation to implementation and iteration.
  • Partner 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 development of end-to-end machine learning platform capabilities, including opportunities to use emerging large language model technology to automate research, modeling, validation, and deployment workflows.
  • Write product requirements documents that align business strategy with engineering plans.
  • Cultivate a prioritized product backlog using 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 nationwide expansion by adapting pricing capabilities to meet the regulatory and operational needs of new states.
  • Work with researchers on feature pipelines and feature stores, reproducible model training and orchestration, model registries and versioning, automated validation, model serving, production observability, and consistency between research and production.
  • Explore how emerging large language model technology can improve the way models are developed, tested, deployed, and maintained, reducing the time and effort needed to turn research into production pricing models.

Desired Qualifications

  • Experience as a data scientist, analyst, or product manager partnering closely with data science and machine learning engineering teams.
  • Experience working in insurtech, preferably in the risk and pricing ecosystem.

About the Company

Root Insurance

Direct-to-consumer auto insurer with telematics

Root Insurance sells auto insurance through a digital-first direct-to-consumer model. It uses telematics from a smartphone to rate premiums based on driving behavior, rewarding good drivers with personalized rates. By cutting agents and relying on data, it lowers costs and passes savings to customers. Its goal is to make auto insurance affordable and easy for good drivers through a transparent, data-driven approach.

Company size
1,001-5,000
Company stage
IPO
Headquarters
Columbus, OH
Founded
2015

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