Base: $109,200.00 to $205,900.00 py; bonus/equity:...
Not specified
Ai infrastructure platform lifecycle management
Distributed systems and large-scale clusters
Cross-functional collaboration with engineering teams
Tencent Music Entertainment Group is seeking a Sr. Product Manager for AI Infrastructure to lead the management of AI platforms, focusing on product strategy, requirement synthesis, and cross-functional collaboration. The ideal candidate should possess extensive experience in product management within AI infrastructure and distributed systems, alongside strong communication skills
Job Summary
The role involves owning the full lifecycle management of AI infrastructure platforms including large-scale clusters and model service gateways.
Candidates must translate technical requirements from internal ML teams into clear PRDs and lead products from incubation to scaled iterations.
Employees are eligible for a sign-on payment, relocation package, restricted stock units, and comprehensive medical and retirement benefits.
Matching Summary
Match Score: 85
Tencent Music Entertainment Group is seeking a Sr. Product Manager for AI Infrastructure to lead the management of AI platforms, focusing on product strategy, requirement synthesis, and cross-functional collaboration. The ideal candidate should possess extensive experience in product management within AI infrastructure and distributed systems, alongside strong communication skills.
Salary
Base: $109,200.00 to $205,900.00 per year; Bonus/Equity: Sign-on payment and restricted stock units available; Benefits: Medical, dental, vision, life, disability, 401(k), vacation, holidays, sick leave
Skills & Requirements
Must-have
AI infrastructure platform lifecycle management
Distributed systems and large-scale clusters
Cross-functional collaboration with engineering teams
Product roadmap development for ML platforms
Performance metric framework establishment
Nice-to-have
Open-source community contributions
Experience at major cloud service providers
Compiler optimization knowledge
High-performance inference engine expertise
Strong influence without authority skills
Key Requirements
Master's degree in Computer Science or related STEM field
Extensive product management experience in AI infrastructure
Understanding of end-to-end model development lifecycle
Experience with distributed training optimization techniques