Stats Perform is looking to lead the design, development, and deployment of next-generation Sports AI Platforms by building advanced computer vision (CV) and machine learning (ML) solutions for real-time sports data collection, athlete tracking, video analysis, and fan engagement products.
Requirements
- 15+ years of leadership experience in AI/ML, with at least 7+ years leading CV-centric platforms at scale.
- Proven experience scaling cloud-native architectures on AWS, including real-time ingestion, training, deployment, and monitoring of ML models.
- Deep expertise in computer vision methods (detection, tracking, segmentation, multimodal models).
- Strong command of ML Ops frameworks (SageMaker, Kubeflow, MLFlow, Ray) and modern data pipelines.
- Background working in sports technology, broadcast, or real-time tracking systems preferred.
- Track record of leading large-scale technical organizations (50+ engineers/scientists).
- Strong P&L understanding and ability to align AI investments with business growth objectives.
Responsibilities
- Define and execute the company’s AI and CV strategy for automated sports data collection, video intelligence, and platform scalability.
- Lead the design and build of cloud-based AI pipelines utilizing AWS tools such as SageMaker, Rekognition, Bedrock, Kinesis Video Streams, and Lambda.
- Oversee teams developing real-time CV models for player/object tracking, ball trajectory, skeletal keypoints, and broadcast automation.
- Build AI/ML platforms that optimize latency, model accuracy, and computational efficiency under live sports conditions.
- Partner with product leaders to translate technology capabilities into new B2B sports data monetization opportunities.
- Drive best-in-class data quality frameworks, leveraging annotation pipelines, synthetic data generation, and MLOps governance.
- Recruit, develop, and retain top CV/ML scientists, data engineers, and platform architects.
Other
- Visionary yet execution-focused leader.
- Comfortable operating in fast-growth, high-stakes sports/media environments.
- Exceptional communicator and executive stakeholder manager.
- Passion for sports, technology, and transforming live experiences through AI
- We love sports, but we love diverse thinking more!
