Top Sports Jobs in San Diego, CA

The Client Success Rep ensures customer satisfaction by addressing technical inquiries, resolving client issues, and suggesting software enhancements. Responsibilities include maintaining customer documentation and collaborating with team members for issue resolution.

As a Lead Analyst, you'll optimize trading performance by assessing exchanges, building analytical frameworks, partnering with traders, and developing dashboards.

As a VIP Host, you'll build strong relationships with players, manage interactions, drive revenue through engagement, and execute VIP policies while ensuring a world-class customer experience.

The Senior Associate Delivery Manager will manage cross-functional projects, ensuring quality, schedule, and budget compliance, while facilitating communication and stakeholder alignment.

The Director of Product Marketing will lead strategy and execution for PSA's Sports Grading business, focusing on product marketing strategy, go-to-market planning, customer experience, and category leadership while managing a high-performing team.

As a Senior Software Engineer, you will develop backend infrastructure, integrate computer vision capabilities, and collaborate across teams to enhance user experiences.

The Technology Specialist will manage IT support, web development, systems administration, and help empower fellow employees with technology solutions while ensuring data security.

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 Data Scientist will design scalable data pipelines, develop core metrics, create dashboards, analyze experiments, and communicate insights to stakeholders.

The Senior Customer Success Manager at Relo Metrics manages a portfolio of clients, enhancing client satisfaction, retention, and revenue growth while collaborating across teams to optimize product use.

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.