Talent Fair 2026
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The SVP, Channel & Independent Agency Sales will lead the commercial strategy and partner ecosystem for Genius Sports' programmatic and data-driven product suite. This P&L-accountable role requires building and scaling a high-performance sales organisation while managing revenue across channel partnerships and independent agencies. The position is a senior leadership opportunity focused on driving growth through strategic GTM architecture and cross-functional collaboration.

The SVP, Channel & Independent Agency Sales will lead the commercial strategy and partner ecosystem for Genius Sports' programmatic and data-driven product suite. This P&L-accountable role requires building and scaling a high-performance sales organisation while managing distinct revenue streams across channel partnerships and independent agencies. The position is ideal for a senior leader with deep ad-tech expertise and a proven track record in developing commercial engines from the ground up.

The Match Lead is responsible for overseeing live football and basketball operations, ensuring the accuracy of event data through effective team leadership. The role requires managing Operators during live games, maintaining high attention to detail under pressure, and contributing to system improvements. This is a freelance position requiring flexibility for early morning or late-night shifts linked to live sports schedules.

Genius Sports is seeking a Senior Software Engineer with Rust expertise to build low-latency data pipelines for AI-driven sports insights and live video augmentation. The role involves developing performant code, designing scalable autonomous systems, and creating tools to enhance developer productivity. The position is based in Los Angeles and offers a hybrid working model, competitive salary, and benefits focused on employee wellbeing and career growth.

We are looking for a software engineer to work on the systems and applications that power our automated, real-time GeniusIQ products. You will collaborate with Computer Vision and AI/Machine Learning teams to take models from research to production, ensuring they run reliably and efficiently in live environments. This includes building the services, orchestration layers, configuration tooling, monitoring and alerting systems, and internal operator interfaces required to manage, visualize, correct/enrich, and scale our automated data pipelines across thousands of global sporting events each year.