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Senior Product Manager, Data Science & Machine Learning

CarGurus

Salary not specified
Oct 16, 2025
Boston, MA, US
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CarGurus is looking to shape the roadmap for their Data Science team to deliver exceptional data science led capabilities, moving the entire automotive journey online.

Requirements

  • Minimum of 5+ years of product management experience with at least 2+ years building machine learning or AI enabled products
  • Prior experience in a Data Science / ML or Analytics

Responsibilities

  • Build a strong partnership with our Data Science team to support model development from concept to launch.
  • Own the team’s vision and roadmap; generate buy-in and facilitate cross-functional collaboration with a wide range of stakeholders.
  • Ensure that prioritization of work aligns with high-level strategies and business objectives.
  • Maintain high levels of engagement with stakeholders through various forms of written and verbal communication, including roadmaps, project plans, status reports, and executive presentations.
  • Empower our team of Data Scientists to complete their best work - providing the necessary requirements, guidance, and space to unlock new opportunities to make our product better.
  • Highlight and enforce data quality best practices and standards across the product and engineering organization, focusing on data integrity, consistency, and accuracy.
  • Help implement policies to ensure compliance with industry regulations and organizational guidelines.

Other

  • Expert judgment to help prioritize incoming requests based on value-add to the business.
  • Strong team player with high emotional intelligence and the ability to bring people together across varying work styles
  • Tenacious self-starter with the ability to work independently, particularly in a highly cross-functional or matrixed environment
  • Excellent written and verbal communication skills
  • Collaborate closely with a number of teams including engineering, analytics, marketing, sales and a variety of other product teams