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The Senior Software Engineer will own features from design to deployment, improve existing systems, build APIs, and ensure code quality. They will collaborate with cross-functional teams and contribute to microfrontend architecture.

Define and lead the technical architecture for a lakehouse on AWS, build production pipelines and data models for time-series and multi-source data, introduce data governance and catalog foundations, author platform playbooks (ADRs, runbooks, Terraform modules), deliver projects end-to-end, and mentor engineers while representing the platform to senior leadership and non-technical stakeholders.

The Data Scientist II will work with sports tracking data to build models and analyses for NHL and NBA organizations, focusing on data transformation and metrics development.

The Computer Vision Researcher will develop and deploy advanced computer vision models, ensuring full lifecycle management, collaborating with teams, and driving research initiatives for player tracking.

The Data Engineer I will build and maintain data pipelines, contribute to platform code, and integrate data sources while growing alongside senior engineers in a production-focused role.

The Controller will oversee the accounting process, manage M&A activity, ensure compliance, strengthen internal controls, and develop the accounting team.

The Product Scientist will manage client relationships and analytics for MLB and NCAA teams, validate model outputs, support sales, and enhance the platform with insights.

As an Account Executive, you will manage sales for Strength & Conditioning software across North America, building relationships with sports professionals and navigating complex sales processes.

The role involves owning feature delivery, designing internal APIs, optimizing performance, mentoring junior engineers, and contributing to incident response.

The Senior Applied AI Engineer will design and develop GenAI features for Teamworks' Hub product, focusing on production-grade systems and architectural decisions. Responsibilities include full ownership of features, collaborating with cross-functional teams, and establishing best practices for reliable AI systems.