Stats Perform is the market leader in sports tech. We provide the most trusted sports data to some of the world's biggest organizations, across sports, media, and broadcasting.
Through the latest AI technologies and machine learning, we combine decades' worth of data with the latest in-game happenings. We then offer coaches, teams, professional bodies, and media channels around the world, access to the very best data, content, and insights. In turn, improving how sports fans interact with their favorite sports teams and competitions.
How do we add value?
* Media outlets add a little magic to their coverage with our stats and graphics packages.
* Sportsbooks can offer better predictions and more accurate odds.
* The world's top coaches are known to use our data to make critical team decisions.
* Sports commentators can engage with fans on a deeper level, using our stories and insights.
Anywhere you find sport, Stats Perform is there. However, data and tech are only half of the package. We need great people to fuel the engine.
We succeeded thanks to a team of amazing people. They spend their days collecting, analyzing, and interpreting data from a wide range of live sporting events. If you combine this real-time data with our 40-year-old archives, elite journalists, camera operators, copywriters, the latest in AI wizardry, and a host of 'behind the scenes' support staff, you've got all the ingredients to make it a magical experience!
We are seeking a visionary Vice President of AI & Computer Vision to lead the design, development, and deployment of next-generation Sports AI Platforms. This executive will oversee the strategy and build-out of advanced computer vision (CV) and machine learning (ML) solutions that power real-time sports data collection, athlete tracking, video analysis, and fan engagement products.
The SVP will partner cross-functionally across product, engineering, operations, and commercial teams, building a highly scalable AI/CV stack on Amazon Web Services (AWS) infrastructure. This leader will be accountable for technical excellence, innovation velocity, and building a world-class engineering culture around data, models, and applied ML.
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