Role Responsibilities:

Build and ship production interfaces for AI-generated stats review and fan-facing interactive experiences across web and mobile platforms.
Own the full feature lifecycle, including data modeling, API design, and deployment, while integrating computer vision and LLM model outputs.

Key Deliverables:

Develop a production-ready annotation review interface within six months and launch an AI-powered fan experience within nine months.
Establish reusable UI components and Python service templates to standardize AI-forward development patterns for the team.

Collaboration and Impact:

Partner with computer vision engineers, product managers, and data teams to translate AI outputs into usable, performant user experiences.
Contribute to system architecture, code reviews, and technical documentation, helping scale the platform with third-party tools and APIs.

PlayOn Sports

PlayOn Sports is a company that operates a fan engagement platform for high school sports, processing live games across its brands NFHS Network, GoFan, and MaxPreps. It is a dynamic growth-stage company backed by KKR, with a culture built on accountability, collaboration, growth, and fairness, where the team works together to support schools and fans.

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