Related skills
machine learning data science data pipelines personalization recommender systems📋 Description
- Define strategy/roadmap for subscriber growth; apply AI/ML balancing ROI and feasibility.
- Understand metrics and user behavior; generate hypotheses for testing and ML roadmap.
- Lead end-to-end product development from problem to deployment with cross-functional teams.
- Drive experiments testing ML-powered features vs baselines; decide scaling based on data.
- Collaborate with engineers and data scientists on technical decisions for impact.
- Build scalable products impacting hundreds of millions; consider localization and infrastructure.
🎯 Requirements
- 5+ years product management experience launching ML/data-driven products at scale.
- Strong fluency in data science, recommender systems, ML concepts, model evaluation, A/B testing, data pipelines.
- Judgment on when to apply ML vs GenAI; assess tradeoffs in complex systems.
- Understand subscription business and consumer e-commerce.
- Excellent cross-functional communicator; collaborates with stakeholders at all levels.
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