
Staff Product Manager, Pricing
Posted 1 day ago

Posted 1 day ago
This is a fully remote position, open to applicants in United States.
• Establish the vision, strategy, and roadmap for the platforms that enhance Root’s pricing advantages.
• Take ownership of the Pricing Platform System (PPS) and advance pricing infrastructure, tools, and decision-making systems.
• Develop the next generation of Root’s machine learning platform focused on pricing.
• Collaborate with researchers on feature pipelines, feature stores, reproducible model training, orchestration, model registries, versioning, validation, model serving, observability, and ensuring consistency from research to production.
• Investigate applications of LLM that can enhance model development, testing, deployment, and maintenance.
• Direct the pricing platform roadmap and vision for 2027 and beyond.
• Lead engineers through the phases of ideation, implementation, and iteration.
• Collaborate with Engineering, Data Science, and Actuarial teams to identify needs and prioritize investments.
• Oversee end-to-end ML platform capabilities and automate workflows for research, modeling, validation, and deployment.
• Draft product requirement documentation that aligns business strategy with engineering plans.
• Maintain a prioritized product backlog utilizing product frameworks and data-driven decision-making.
• Expedite the production deployment of new data and model features.
• Enhance the speed, reliability, observability, and usability of pricing workflows.
• Create self-service tools for experimentation and feature development.
• Mitigate operational and regulatory bottlenecks within pricing and filing workflows.
• Tailor pricing capabilities to meet the regulatory and operational requirements of new states.
• Support Root’s nationwide expansion efforts.
• A minimum of 8 years of experience in product management.
• Preferably experience in fintech, insurtech, or another data-intensive regulated field.
• Strong systems thinking ability.
• Comfort with predictive modeling, APIs, and workflow orchestration.
• Experience in integrating LLMs and advanced AI functionalities into data science workflows.
• A data-driven mindset with experience in collaboration with data scientists and analytics partners.
• Exceptional communication skills.
• Familiarity with agile development methodologies.
• A customer-centric approach with proven success in enhancing user experiences.
• Capacity to multitask and prioritize effectively.
• Flexibility in a growing organization.
• Collaborative work style with the ability to influence without direct authority.
• Willingness to travel up to 10% of the time.
• Preferred: experience as a data scientist, analyst, or Product Manager with close collaboration with data science and ML engineering teams.
• Preferred: experience in insurtech, ideally within risk and pricing domains.
• Candidates must be on camera during virtual interviews.
• Competitive bonus structure.
• Equity offerings available.
• Flexibility to work from any location that suits across the US.
• Quarterly team events held in-person.
• Reasonable accommodations provided throughout the hiring process.
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