SūmerSports is reshaping how professional and collegiate sports teams construct their rosters. Our top-tier data-driven platform empowers teams with invaluable insights and tools to make informed decisions while adhering to salary cap constraints. The platform will also service the NCAA, offering insights and recommendations around the transfer portal and much more. What sets us apart is our unique blend of big tech talent, data scientists, and former NFL personnel like…
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AI insights + over 600 years of NFL expertise.
Full company description
SūmerSports is reshaping how professional and collegiate sports teams construct their rosters. Our top-tier data-driven platform empowers teams with invaluable insights and tools to make informed decisions while adhering to salary cap constraints. The platform will also service the NCAA, offering insights and recommendations around the transfer portal and much more.
What sets us apart is our unique blend of big tech talent, data scientists, and former NFL personnel like John Idzik and Mike Mayock, who have a combined over 600 years of NFL experience. This unparalleled domain knowledge is seamlessly augmented by AI and machine learning technologies.
Elevate your team's performance today with SūmerSports – where cutting-edge analytics converges with decades of real-world NFL experience, empowering you to outsmart the competition.
LinkedIn followers
8,263
People associated on LinkedIn
87
Reported office locations
109 Royal Palm Way, Palm Beach, Florida 33480, US
Business categories
Analytics
Information Technology
Sports
Other recorded names
SumerSports
Profile identifies a recruitment agency
No
Reported total investment
0
Currency and observation date were not supplied; this is not a current valuation or a funding round.
Industry
Data Infrastructure and Analytics
Size
11-50 employees
Headquarters
Palm Beach, Florida
Organization type
Privately Held
Year founded
2022
SumerSports LLC has 2 open jobs in Canada as of November 6, 2026.
4+ YOECandidates need 4+ years in ML platform, DevOps or infrastructure engineering, with deep Kubernetes, CI/CD and cloud skills, GPU cluster experience and strong Python. Proven experience shipping and operating production ML systems with SLOs is required.
3+ YOECandidates need 3 to 8 years of production data engineering or ETL experience, with strong Python and SQL and familiarity with Databricks, Spark and workflow orchestration tools. Cloud, container and CI/CD experience and comfort working with ML and analytics teams are also expected.
Databricks, Kubernetes, Docker, GitHub Actions, Delta Lake, Unity Catalog