Staff Product Manager, Pricing.

Accountabilities

• Product Vision and Strategy

  • Own the pricing platform roadmap, continuously refining the product vision and strategic priorities for 2027 and beyond.

  • Define product opportunities that strengthen pricing capabilities, accelerate decision-making, and support long-term business growth.

  • Translate business objectives and technical needs into clear product strategies, requirements, and execution plans.

  • Maintain a prioritized product backlog using structured product management frameworks and data-driven decision-making.

  • Cross-Functional Leadership

    • Lead engineers through the full product lifecycle, from ideation and discovery to implementation, launch, and continuous improvement.

    • Partner with Engineering, Data Science, and Actuarial teams to identify platform needs and prioritize investments.

    • Develop clear product requirements documents (PRDs) that align business strategy with engineering execution.

    • Build alignment across stakeholders, influence decisions without direct authority, and ensure teams remain focused on high-impact outcomes.

    • Machine Learning Platform Development

      • Drive the development of end-to-end machine learning platform capabilities that help researchers move efficiently from experimentation to production.

      • Improve workflows across data readiness, feature pipelines and feature stores, model training and orchestration, model registries and versioning, automated validation, model serving, diagnostics, and monitoring.

      • Explore and integrate emerging AI and large language model technologies to automate and improve data science, research, modeling, testing, validation, and deployment workflows.

      • Develop self-service tools that enable faster experimentation, feature creation, and model iteration.

      • Improve consistency between research and production environments while increasing workflow reliability, observability, usability, and speed.

      • Operational Efficiency and Regulatory Readiness

        • Accelerate the transition from new data and model features to production deployment.

        • Reduce operational friction and regulatory bottlenecks across pricing and filing workflows.

        • Ensure pricing platform capabilities can adapt to state-specific regulatory and operational requirements.

        • Support nationwide expansion by building scalable infrastructure and processes that accommodate new markets.

        Requirements

        • At least 8 years of product management experience, ideally in fintech, insurtech, or another data-intensive and regulated industry.

        • Strong systems-thinking skills and familiarity with technical concepts such as predictive modeling, APIs, and workflow orchestration.

        • Experience collaborating with data scientists, analytics specialists, engineers, or machine learning teams to develop data-driven products.

        • Ability to identify opportunities for integrating large language models and advanced AI capabilities into everyday data science workflows.

        • Strong analytical and data-driven decision-making skills, with the ability to translate complex technical concepts into intuitive product experiences.

        • Excellent communication and stakeholder management skills, including the ability to align cross-functional teams around shared priorities.

        • Experience with agile product development methodologies and end-to-end product lifecycle management.

        • Customer-centric mindset and a demonstrated ability to improve user experiences and product usability.

        • Strong organizational skills, attention to detail, and the ability to manage competing priorities in a dynamic environment.

        • Adaptability and comfort navigating evolving scope, ambiguity, and changing business needs within a growing organization.

        • Collaborative leadership style and the ability to influence stakeholders without relying on direct authority.

        • A hands-on, results-oriented approach with the initiative to solve problems and drive execution in a fast-paced environment.

        • Willingness and ability to travel approximately 10% of the time, including quarterly in-person team events.

        Preferred qualifications:

        • Previous experience as a data scientist, analyst, or Product Manager working closely with data science and machine learning engineering teams.

        • Experience in insurtech, particularly within risk assessment, insurance pricing, or related pricing ecosystems.

        Benefits

        • Salary: $168,300–$210,980 per year.

        • Eligibility for a competitive bonus.

        • Equity offering.

        • Remote work flexibility: Work from a location of your choice within the United States.

        • Flexible approach to where work is performed, with an established headquarters in Columbus, Ohio.

        • Opportunities to lead high-impact product initiatives at the intersection of pricing, machine learning, and advanced AI technologies.

        • Approximately 10% travel, including quarterly in-person team events.