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data management quality assurance apis workflow orchestration labeling📋 Description
- Own end-to-end product lifecycle for AI agent infrastructure
- Define vision, strategy, and roadmap for internal AI product teams
- Partner with engineering, AI/ML research, and business stakeholders
- Establish evaluation metrics to improve agent performance, reliability, and safety
- Build feedback loops from production signals to model and data improvements
- Balance scalability and reliability with fast iteration
🎯 Requirements
- 5+ years of product management in AI/ML or developer infra
- Demonstrated experience shipping AI products or platforms to production
- Strong technical acumen: model architectures, prompts, APIs
- Data lifecycle: collection, annotation, training, evaluation, deployment
- Data-driven with KPIs, experiments, and decisions under uncertainty
- Strong English communication; Mandarin a plus
🎁 Benefits
- Competitive total compensation
- L&D programs and education subsidy
- Team building programs and company events
- Wellness and meal allowances
- Comprehensive healthcare for employees and dependents
- More details shared during the process
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