Senior Product Manager - Technical Data, Quantitative Sports

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Hard Rock DigitalSports betting

This is a fully remote, US-based role.Full-TimeSenior

Salary not disclosed

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Job Details

Experience: 5-8 years of experience in product management, technical project management, or a similar delivery-focused role
Required Skills: Project ManagementPythonSQLData AnalysisProduct ManagementJiraGrafana

Have 5-8 years of experience in product management, technical project management, or a similar delivery-focused role.
Have experience in the sports betting industry.
Have an in-depth understanding of sportsbook products and the pricing of sporting events, including hands-on experience in these areas.
Be able to write technical Jira tickets that translate business needs into deliverable engineering work.
Have extensive experience with Jira and other project management tools across different workflows.
Have a proven track record of delivering projects on time.
Be comfortable using data to validate requirements, review outputs, and measure outcomes.
Be able to work across departments with technical and non-technical stakeholders.
Have a college degree in any discipline.
Bonus: experience managing a migration project.
Bonus: hands-on experience with SQL or Python.
Bonus: experience with Grafana or other observability tooling.
Bonus: familiarity with sports data feeds such as Radar and Genius.
Bonus: experience with pricing pipelines or odds generation systems.

Own the onboarding and transfer of a third-party pricing provider into the company’s infrastructure, from discovery and knowledge transfer through production go-live.
Translate business and trading needs into scoped technical Jira tickets with clear acceptance criteria.
Build and maintain project plans, milestones, and dependencies, and deliver against agreed timelines.
Coordinate across quantitative analysts, engineers, traders, and other technical and non-technical stakeholders.
Manage the Quantitative Sports backlog and workflows in Jira, prioritizing work against team and business goals.
Run day-to-day product operations for the in-house pricing team after the transition.
Scope and plan expansion into new sports, competitions, and markets.
Use data to track delivery, understand pricing outputs, and inform prioritization.
Communicate progress, risks, and blockers to the Director of Quantitative Sports and wider leadership.

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