Senior Data Product Manager - Machine Learning

Company: FanDuel

Location: Atlanta, GA

Type: Full-time

Posted: 2026-06-26

About this role

THE POSITION
Our roster has an opening with your name on it


We are looking for a Product Manager to join our Data Products team within our Technology. This is a key role in a fast-paced environment working with teams and stakeholders across the business to drive the development and enhancement of our Data Science and Machine Learning products. In this role, you'll drive the evolution and adoption of our ML Platform, including experiment tracking, model lifecycle management, observability, and feature engineering capabilities that enable data scientists to build, deploy, and monitor models at scale. You'll also own the product strategy for ML-powered consumer applications — today focused on search relevance and ranking across the FanDuel product suite, with future scope expanding across personalization, recommendations, and beyond.


In addition to the specific responsibilities outlined above, employees may be required to perform other such duties as assigned by the Company. This ensures operational flexibility and allows the Company to meet evolving business needs.


THE GAME PLAN
Everyone on our team has a part to play

  • You will take ownership of data products that deliver key insights into our business and drive future business decisions
  • Lead elicitation of requirements, in the form of user stories & acceptance criteria, prioritizing the product backlog to streamline the execution of program priorities
  • Work closely with cross-functional teams, including data scientists, engineers, and business stakeholders, to ensure our platform aligns with business objectives and delivers advanced machine learning solutions
  • Own the product roadmap for ML-powered consumer features, including search ranking, relevance tuning, and recommendation systems — translating business outcomes into model requirements and working backward from the user experience
  • Partner with Data Science, ML Engineering, and product teams to define and improve relevance...

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