Jobs at Razer

Lead global affiliate and creator monetization strategies to scale performance partnerships, optimize ROI and attribution, manage enterprise affiliate platforms, nurture high-impact creator relationships, coordinate cross-functional campaigns and assets, and mentor a small specialist team using data-driven insights.

The Senior Product Developer leads the product development for software tools for game developers, aligning technical teams with business goals and managing product roadmaps and performance analysis.

The Associate Community Specialist will grow Razer's community through social media engagement, content creation, and relationship management with influencers.

Lead and manage PR strategy for APAC, aligning local and global messaging, building media relations, and leveraging AI tools to enhance workflows.

The Senior Channel Marketing Specialist will develop and implement marketing strategies for retail and ecommerce, manage partnerships, and optimize product listings to enhance brand growth and visibility.

Lead the design and implementation of enterprise AI solutions, focusing on governance, compliance, and technical strategy, working across cloud platforms.

Lead end-to-end consumer electronics product development, manage cross-functional teams to ensure quality launches on schedule, and optimize processes across various stages of product development.

Seeking AI Software Engineers to design, develop, and deploy AI solutions by integrating ML models into applications and optimizing AI workflows. Responsibilities include implementing APIs, monitoring performance, MLOps practices, and collaborating with teams for AI capabilities.

Lead regional social media growth, community engagement, esports partnerships, and event activations across APAC (ex-China). Develop platform strategies and content, manage communities and esports relationships, plan and run events, coordinate partners and talent, track analytics, and support post-event reporting to drive brand visibility and gamer engagement.

Lead the creative vision and execution of global marketing assets, ensuring consistency and quality across campaigns, while managing a multidisciplinary design team.

Develop and implement computer vision algorithms, evaluate model performance, and integrate solutions into larger systems, while maintaining documentation and staying updated on technology advances.

Design, develop, and deploy AI solutions by integrating ML models, optimizing workflows, and collaborating across teams. Ensure performance and security in production environments.

Lead the strategy and marketing of Razer's Productivity and Speaker product lines, managing cross-functional teams to drive growth, market share, and product launches.

Design, evaluate, and deliver AI solutions for gaming. Build scalable AI services, mentor teams, and communicate technical concepts effectively.

The Senior Data Scientist will develop AI solutions for gamers, focusing on Reinforcement Learning and Generative AI, collaborating closely with game developers and engineers.

The Senior Data Engineer will lead AI Data Engineering initiatives, architect and manage data infrastructure, and optimize data pipelines for AI and ML applications using various tools and technologies.

Lead the product roadmap for Razer's PC gaming division, driving innovation and user experience through deep market insights and collaboration with cross-functional teams.

The Product Evangelist will oversee product marketing for Razer's Mice and Mats, driving strategy, product launches, market analysis, and campaign execution while collaborating with cross-functional teams.

The Game Customer Support Lead oversees mobile game support, designing processes and resources, implementing omnichannel strategies, and enhancing player satisfaction.

Design and ship on-device AI models for gaming and peripheral applications, process biosignal/sensor data in real time, optimize models (quantization, pruning, distillation) for CPU/GPU/NPU, write production-quality C++ inference/runtime code, profile and benchmark performance, and collaborate with haptics, audio, and platform teams to expose AI via clean APIs.