Teams at Razer

Develop production-ready computer vision and multimodal AI systems for interactive applications. Responsibilities include designing algorithms for detection, tracking, segmentation, classification, action recognition, and video understanding; training and optimizing models; managing annotated datasets; evaluating performance; enabling real-time or edge inference; integrating models into production; and collaborating with engineering and data teams. The role also involves research, documentation, testing, and consideration of ethical and regulatory implications.

Drives global commercial success for Razer’s gaming headset portfolio through product evangelism, GTM planning, launch execution, content strategy, category management, sales enablement, influencer and esports programs, and market analysis. The role develops product narratives, training materials, digital assets, channel programs, and regional launch plans while partnering cross-functionally to improve revenue, market share, conversion, and profitability.

Leads the MuleSoft integration team and delivers scalable middleware, APIs, and enterprise integration solutions. Responsibilities include architecture, development, testing, code reviews, security, documentation, SDLC oversight, project implementation, change management, SLA management, vendor engagement, budgeting, and resource allocation. The role requires translating business requirements into secure technical solutions while managing complex international projects and leading cross-functional teams.