Top Sports Jobs in Denver & Boulder, CO

Lead end-to-end product design for Stats & Insights across mobile and web. Conduct user research, prototype and ship native iOS/Android features, run design sprints, contribute to the design system, integrate AI into the design workflow, and collaborate cross-functionally to turn data into actionable, user-centered experiences.

Lead architecture and hands-on development of the end-to-end video pipeline (live ingest, transcoding, storage, playback, and developer SDKs). Mentor engineers, collaborate across mobile/web/ML/platform teams, own monitoring and on-call support, and help scale video streaming and VoD capabilities for millions of streams and clips.

Own strategy and execution for DraftKings Exchange operations: manage day-to-day trading and market monitoring, lead incident resolution with Engineering, onboard and support participants, analyze market data to improve integrity and efficiency, and drive cross-functional initiatives to scale prediction market capabilities and regulatory readiness.

Design, build, and operate internal developer platforms, CI/CD pipelines, developer environments, deployment workflows, and shared services. Create automation and custom tooling, prototype and productionize AI-assisted engineering workflows, strengthen cloud and container foundations (Kubernetes, IaC), instrument platforms with telemetry, and own platform projects end-to-end including rollout, adoption, and on-call.

The role involves prospecting, relationship-building, and securing sales commitments, primarily targeting schools and community teams. Independents will work remotely to develop partnerships and hand off to account managers post-sale.

Develop and maintain features for the bike computer ecosystem from concept to production. Collaborate with product, design, and engineers, participate in code reviews, maintain CI/CD pipelines, write and run automated tests, troubleshoot/debug issues, and contribute to delivery cadence and engineering culture.

Manage day-to-day corporate and licensing partner relationships to execute sponsorship activations. Coordinate cross-departmentally to deliver approvals, monitor KPIs, create polished recaps, develop in-market/retail promotions, maintain deliverables and contracts, identify opportunities to maximize partner value, and provide high-quality client service including event support.

Manage PLM/PIM systems and data (Centric, Pimberly), own product compliance (labeling, PFAS, CPSIA, CAFTA), execute EU Digital Product Passport requirements, run sustainability programs (certifications, RDS, Scope 3.1 data), and coordinate regulatory reporting and cross-functional stakeholders.

The Senior Machine Learning Operations Engineer will design, build, and maintain ML infrastructure, streamline model deployment, and monitor performance to ensure the success of machine learning models at The Athletic.

The DS&ML Group Product Manager oversees Data Science and Machine Learning capabilities, defining strategic vision, managing product portfolios, and ensuring delivery aligned with business needs. Responsibilities include developing roadmaps, executing models, scaling functionalities, and mentoring a team.

Train to run a high-performing indoor soccer facility: recruit and lead teams, support revenue through registrations and partnerships, manage scheduling, payroll, inventory, safety, and guest experience, and progress toward promotion to General Manager.

Hands-on leadership training to run a sports facility: recruit, train, schedule, and coach staff; support revenue through registrations and partnerships; manage daily operations including payroll, inventory, safety, and maintenance; deliver excellent customer experiences and prepare for promotion to General Manager.