GameChanger

People Operations

• Operationalize and manage performance and talent processes, including performance cycles, talent reviews, succession planning, and promotion frameworks.
• Lead engagement initiatives, including survey deployment, analysis, and partnering with teams to drive action plans that improve team health.
• Build and scale career development frameworks and manager enablement programs to support growth across the organization.
• Use people data and reporting (engagement, performance, retention, compensation) to inform decisions and improve program effectiveness.
• Support total rewards programs by improving understanding, adoption, and alignment with business needs.
• Manage and develop our People Operations Specialist, ensuring strong execution across People processes and programs.

Manager, People Strategy

Backend Engineer

• Own and drive business-critical product areas including scorekeeping, fan experiences, and team management throughout our backend services.
• Design, build, and operate scalable, high-performance backend services in production.
• Lead projects and work with Product, Design, QA and other engineers to understand requirements and translate them into technical solutions.
• Evolve our APIs and service contracts to ensure performant, reliable communication between backend systems and client applications.
• Contribute to architectural decisions that guarantee scalability, maintainability, and developer productivity as our backend systems evolve.
• Identify and address performance bottlenecks, improve system reliability, and deliver high-impact new features in data-intensive domains.
• Ensure security, data integrity, and privacy compliance.
• Raise the technical bar through thoughtful code reviews, design feedback, and knowledge sharing.
• Create and maintain clear technical documentation to support long-term maintainability and cross-team understanding.

Senior Backend Software Engineer, Stats and Insights

Machine Learning Engineer

• Work directly with CV researchers to understand their goals, review their code, and engineer it for reliability and performance at scale.
• Profile and optimize performance-sensitive code across both training and real-time inference.
• Identify patterns across research efforts and propose standardized, composable abstractions.
• Collaborate with MLOps and backend engineers to translate recurring research pain points into platform investments through design documents and architecture proposals.
• Guide researchers toward production-oriented engineering practices regarding testability, modularity, and performance profiling.

Manager, People Strategy

Senior Backend Software Engineer, Stats and Insights

Senior Applied Machine Learning Engineer