Jobs at Teamworks

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 a Cybersecurity Analyst, you'll manage GRC operations, drive audit readiness for SOC 2, ISO 27001, PCI DSS, and maintain compliance documentation with minimal oversight.

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 Senior Manager of Engineering will lead four teams in building advanced sports analytics products, ensuring quality and driving change management while focusing on AI adoption and full-stack development.

The role involves modernizing the backend architecture of the Athlete Management System, optimizing performance, designing APIs, and mentoring junior engineers.

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.

The Applied AI Engineer will design and implement GenAI features in Teamworks' Coaching product, integrating AI into sports analytics to enhance decision making and user experience.

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.

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 role involves owning and evolving data pipelines, migrating core features, improving legacy systems, and maintaining code quality, focusing on Python and PostgreSQL expertise.