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Product Manager, Content Discovery and Personalization

Posted 2024-11-09

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💎 Seniority level: Manager, 3-4 years

📍 Location: United States

🔍 Industry: Creator commerce

🏢 Company: LTK USA

🗣️ Languages: English

⏳ Experience: 3-4 years

🪄 Skills: LeadershipMachine LearningProduct DevelopmentStrategyAlgorithmsData scienceProduct designCommunication Skills

Requirements:
  • 3-4 years of experience as a Product Manager, ideally in content discovery, personalization, or similar areas.
  • Proven experience with A/B testing, data-driven decision-making, and metrics analysis.
  • Experience collaborating closely with cross-functional teams including engineers and data scientists.
  • Strong understanding of user-centric product design and ability to translate customer needs into actionable features.
  • Familiarity with recommendation systems, search algorithms, and personalization techniques.
  • Strong communication skills to present product vision and strategy to stakeholders.
  • A mindset focused on seizing opportunities and operational excellence.
  • Adaptability to dynamic, fast-moving environments.
  • Experience in e-commerce, marketplace, or social shopping platforms.
  • Familiarity with machine learning models for recommendation systems and content discovery.
  • Background in user research, journey mapping, or identifying user pain points in discovery and browsing flows.
Responsibilities:
  • Guide content discovery and personalization roadmap, developing and executing product strategy to drive engagement.
  • Lead product development lifecycle from ideation to launch, ensuring alignment with company goals.
  • Enhance features across browsing and personalization by improving search and recommendation functionalities.
  • Collaborate with Engineering, Design, Leadership, Marketing, and other departments on new initiatives and optimize current projects.
  • Identify opportunities to innovate in content discovery and integrate new technologies.
  • Advocate for data-driven customer experience improvements using qualitative and quantitative research.
  • Work on platform performance to ensure scalability of personalization and discovery features.
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