Senior Product Manager, AI Agent Infra & Global Strategy

Tencent; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

Tencent Cloud is seeking a product manager to own the strategy, roadmap, and commercialization of Tencent Cloud Agent Runtime, serving enterprise customers globally. You will collaborate with engineering to translate market needs into clear requirements and priorities, driving global adoption and a differentiated product position.

The role requires 3–5 years in product management or technical products, deep knowledge of AI Agents and agent infrastructure, and strong English communication to

Qualifications

• Bachelor’s degree or above, with 3-5 years of relevant product management or technical product experience.
• Strong understanding of Agentic AI, AI Agents, and Agent Infrastructure, with the ability to communicate effectively with engineers at the architecture and system-design level.
• Experience in AI/Agent infrastructure, developer tools, cloud services, or related technical products, with a solid understanding of both Product-Led Growth (PLG) and enterprise sales.
• Experience building developer ecosystems or working in Developer Relations (DevRel), with a strong understanding of developer journeys, adoption paths, and developer experience.
• Strong global perspective and familiarity with Agent Infra products and global market. Fluent spoken English is required; experience writing English product documentation, technical blogs, or presentation is a plus.
• Strong technical foundation and independent technical judgment. Comfortable with vibe coding and using AI Agents to reshape and accelerate end-to-end product workflows.

Skills

Product management

Agentic AI

AI Agents

Developer Relations

Global perspective

English fluency

Education

Bachelor’s degree or above

Job description

Tencent Cloud is seeking a product manager to own the strategy, roadmap, and commercialization of Tencent Cloud Agent Runtime, serving enterprise customers globally. You will collaborate with engineering to translate market needs into clear requirements and priorities, driving global adoption and a differentiated product position.

The role requires 3–5 years in product management or technical products, deep knowledge of AI Agents and agent infrastructure, and strong English communication to