Product Manager, Data & Analytics
PrizePicks - Atlanta, Georgia, United States
Posted May 4, 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
- Cover letter
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- Assessment
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- Deadline
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Where they hire
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About this role
Product Manager, Data & Analytics Atlanta, Georgia, United States At PrizePicks, we are the fastest-growing sports company in North America, as recognized by Inc. 5000. As the leading platform for Daily Fantasy Sports, we cover a diverse range of sports leagues, including the NFL, NBA, and Esports titles like League of Legends and Counter-Strike. Our team of over 550 employees thrives in an inclusive culture that values individuals from diverse backgrounds, regardless of their level of sports fandom. Ready to reimagine the DFS industry together? PrizePicks, the leading DFS platform known for accessibility and a thriving community, is seeking a Product Manager to lead the consumer-facing internal reporting surface of our data platform. You'll be the connective tissue between all business stakeholders and the engineering team that builds for them. Your work will compress UAT cycles, hold committed delivery dates, and make the data platform feel like one product to the people who depend on it. What you'll do: Stakeholder Partnership: - Serve as the product-accountable owner for the internal reporting layer of the data platform, partnering directly with non-analytics business stakeholders - Fraud, RevOps, Partnerships, Acquisition, Player Accounts, Accounting, and Finance. - Capture requirements at source. Translate raw business problems into product framing, scope, and acceptance criteria before delivery starts. Strategy: - Own the product roadmap for the consumer-facing internal reporting layer. Sequence stakeholder requests against capacity and platform priorities. - Identify recurring patterns across the reporting surface and turn them into durable mart and view extensions instead of
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