Product Operations Manager – User Support and T&S

at  HoYoverse

WHO ARE WE?

HoYoverse is committed to providing immersive virtual world experiences to players around the world. We have brought fans popular games including Genshin Impact, Honkai: Star Rail, Honkai Impact 3rd, Tears of Themis, and Zenless Zone Zero, as well as a wide range of entertainment content.
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Community is at the heart of everything we do. We are devoted to engaging fans and fostering an enthusiastic and inclusive global community that provides access and encouragement for people to share their passion for ACG (Animation, Comics, and Games) through their own creativity and skills.
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Pushing the boundaries of imagination, we consistently explore cutting-edge game development technologies, and have accumulated leading technical capabilities in cel shading, cloud gaming, and other fields.
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In the future, we will continue to expand our content production, technology research, and publishing duties through operations in offices in Singapore, Montreal, Los Angeles, Tokyo, Seoul, and other areas.
When you apply to a position with HoYoverse, we will process your personal data. To learn more about how we process your data, we encourage you to review our comprehensive Global Applicant and Candidate Privacy Policy. This policy provides detailed insights into how your information is collected, used, and protected throughout the application process.

• Operational Strategy & Execution:
• Lead the day-to-day product operations for AI solutions and platform management, ensuring smooth delivery, efficiency, and cross-functional collaboration across teams.
• Platform Management:
• Oversee the management and optimization of task crowd sourcing platforms, ensuring performance, scalability, and adaptability to evolving business requirements.
• Vendor Management:
• Manage relationships with external vendors, including AI service providers and platform vendors, negotiating contracts, overseeing performance, and ensuring delivery according to SLAs and business needs.
• Data-Driven Decision Making:
• Leverage data analytics to monitor product performance, assess operational bottlenecks, and drive continuous improvement in both platform and AI solution delivery.