Top Tech Jobs & Startup Jobs in Los Angeles, CA

The Principal Insights Analyst leads analytical direction and frameworks for PubSports, driving strategic insights and performance improvements across Publishing, Esports, and player engagement for League of Legends. Responsibilities include developing data-driven strategies, managing cross-functional projects, and mentoring analysts while ensuring insights translate into impactful actions.

Lead a data engineering organization at League Studios, overseeing data architecture, managing teams, and ensuring effective collaboration across departments while promoting data-driven development.

Lead go-to-market strategy and execute global player experiences for a new R&D game. Run integrated campaigns end-to-end, align cross-functional and external partners, manage timelines, budgets, creative assets, and launch sequencing, and partner with Analytics to measure and optimize performance.

As an Engineering Manager for the VALORANT AI team, you will oversee a team of engineers, guide AI development, manage performance, and advocate for both players and developers.

Manage and support networks for esports events, ensuring reliable operations and effective disaster recovery, while engaging with other teams for system improvements.

Design and maintain scalable data pipelines and models, automate workflows, mentor engineers, and ensure data quality for player insights.

Lead and manage a 6–10 person engineering team building large-scale, globally distributed content fulfillment and purchase systems. Own technical health, roadmap execution, hiring/onboarding, cross-team collaboration, hands-on code review, and operational readiness for live services.

As a Senior Program Manager, shape global work designs, lead cross-functional initiatives, and define metrics to enhance content production workflows.

The Engineering Manager will lead a team of software engineers developing backend services for League of Legends and TFT, ensuring quality, performance, and reliability. Responsibilities include managing team performance, creating a technical vision, fostering collaboration, and mentoring engineers.

As a Senior Data Scientist, you will build ML models for skill estimation and matchmaking, collaborate with teams to enhance player experiences, and drive decisions for game development. Responsibilities include dataset creation and enhancing data science practices.