Senior Data Technical Product Manager - Quantitative Sports

What are we building?

Hard Rock Digital is a fiercely focused team working to become the best online sportsbook, casino, and social gaming company in the world. We're building a deeply curious team with a passion for learning, operating, and building new products and technologies for millions of consumers. We're customer-obsessed — we care about each customer interaction, experience, behavior, and insight, and strive to ensure we're always acting authentically.

Rooted in the kindred spirits of Hard Rock and the Seminole Tribe of Florida, Hard Rock Digital taps a brand known the world over as the leader in gaming, entertainment, and hospitality. We're taking that foundation of success and bringing it to the digital space - ready to join us?

What's the position?

We are looking for a Senior Data Product Manager to join our Quantitative Sports (QS) team, reporting to the Director of Quantitative Sports. QS builds and owns the in-house pricing models that set the odds on sporting events across our sportsbook. We are bringing pricing that is currently supplied by a third-party provider into our own infrastructure, and you will own the delivery of that transition end to end — turning business and trading needs into clear, engineer-ready Jira tickets and keeping a cross-functional program on schedule.

Once the transition is complete, you'll run the day-to-day product operations of a fully functioning in-house pricing team and help drive the expansion of the sports and markets covered by QS. This is a fully remote, US-based role with significant autonomy. If you're a self-starter who knows the sportsbook space and loves getting complex projects over the line, you'll feel at home here.

What You'll Do

• Own the onboarding and transfer of a third-party pricing provider into our infrastructure, from discovery and knowledge transfer through to production go-live

• Translate business and trading needs into well-scoped technical Jira tickets, with clear acceptance criteria, enabling our engineers to work with autonomy

• Build and maintain project plans, milestones, and dependencies, and deliver against agreed timelines

• Act as the bridge between quantitative analysts, engineers, traders, and other technical and non-technical stakeholders across departments

• Manage the QS backlog and workflows in Jira, prioritizing work in line with team and business goals

• Run the day-to-day product operations of the in-house pricing team once the transition is complete

• Scope and plan the expansion of the QS domain into new sports, competitions, and markets

• Use data to track delivery, understand pricing outputs, and inform prioritization decisions

• Communicate progress, risks, and blockers clearly to the Director of QS and wider leadership