
501 - 1000 employees
Founded 2005
⚽ Sports
☁️ SaaS
🤖 Artificial Intelligence
💰 $235M Series F - Teamworks on 2025-06
Sports • SaaS • Artificial Intelligence
Teamworks is a SaaS "Operating System for Sports" that unifies communication, roster and personnel management, scheduling, performance, coaching, compliance, inventory, nutrition, and other operations for professional, collegiate, Olympic/NGB, and military/tactical teams. The platform centralizes workflows, file sharing, automated processes, and AI-driven analytics (Teamworks Intelligence) to inform talent acquisition, roster construction, athlete evaluation, and game strategy. Teamworks serves thousands of teams and hundreds of collegiate departments and professional organizations worldwide, helping organizations coordinate staff and athletes, streamline operations, and improve performance.
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501 - 1000 employees
Founded 2005
⚽ Sports
☁️ SaaS
🤖 Artificial Intelligence
💰 $235M Series F - Teamworks on 2025-06
Sports • SaaS • Artificial Intelligence
Teamworks is a SaaS "Operating System for Sports" that unifies communication, roster and personnel management, scheduling, performance, coaching, compliance, inventory, nutrition, and other operations for professional, collegiate, Olympic/NGB, and military/tactical teams. The platform centralizes workflows, file sharing, automated processes, and AI-driven analytics (Teamworks Intelligence) to inform talent acquisition, roster construction, athlete evaluation, and game strategy. Teamworks serves thousands of teams and hundreds of collegiate departments and professional organizations worldwide, helping organizations coordinate staff and athletes, streamline operations, and improve performance.
• Own the full client lifecycle for MLB and NCAA partner teams • Build and maintain a unified client health dashboard • Drive NCAA trial program outcomes • Validate model outputs and platform releases • Partner with data scientists and engineers to design statistical validation plans • Contribute to MLB sales efforts by developing customized materials • Feed partner insights back into the product roadmap
• 2+ years of experience in a baseball data science or technical product management role • Deep knowledge of baseball analytics, including player evaluation, projection, and on-field strategy • Proven track record of working with or alongside MLB or NCAA front offices • Strong proficiency in SQL • Proficiency in Python or R for statistical analysis • Experience with data visualization tools (e.g., Looker, Shiny, Tableau)
• Offers Equity • Offers Bonus
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