By bringing together next-gen technology and the finest live data available, Genius Sports is enabling a new era of sports for fans worldwide, delivering experiences that are more immersive, interactive and personalised than ever before. Learn more at geniussports.com.
The role: Product Manager, Fan Engagement - Widgets & Marketplace
As a Product Manager, Fan Engagement - Widgets & Marketplace, reporting directly to the VP of Fan Engagement, you will work closely with cross-functional teams to build, enhance, and optimize our fan engagement offerings. Your primary focus will be on developing and maintaining innovative widgets (data insights, visualizations, game trackers, mini-games), how they are discovered, and how they are consumed by our fans. These widgets leverage real-time sports data and next-generation GeniusIQ statistics to drive repeat fan engagement.
Key Responsibilities:
Position Requirements:
The salary for this role is based on an annualized salary range of $140,000 - $165,000. This role will also be eligible to take part in Genius Sports Group's benefits plan.
We enjoy an ‘office-first’ culture and maximize opportunities to collaborate, connect and learn together. Our hybrid working models differ depending on your role and location.
As well as a competitive salary and range of benefits, we’re committed to supporting employee wellbeing and helping you grow your skills, experience and career. Learn more about how rewarding life at Genius can be at Reward | Genius Sports.
One team, being brave, driving change
We strive to create an inclusive working environment, where everyone feels a sense of belonging and the ability to make a difference. Learn more about our values and culture at Culture | Genius Sports.
Let us know when you apply if you need any assistance during the recruiting process due to a disability.
Work on cutting-edge sports data and analytics. Join a team that's revolutionizing how we understand sports performance with AI and machine learning.
Salary: est. $120,000 - $175,000
🤖 This salary estimate is calculated by AI based on the job title, location, company, and market data. Use this as a guide for salary expectations or negotiations. The actual salary may vary based on your experience, qualifications, and company policies.
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