Senior Data Product Manager - Machine Learning
Fanduel - Atlanta, Georgia, United States
Posted Mar 3, 2026
Benefits
- Parental leave
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- Non-birth-parent leave
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- Family-building benefits
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- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
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- Relocation assistance
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- Childcare support
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- Learning budget
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- Salary
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- 401(k) match
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Schedule
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- Weekend work
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Application
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- Deadline
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Where they hire
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About this role
Senior Data Product Manager - Machine Learning Atlanta, Georgia, United States 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
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