Sr. Product Manager - Recs/AI

iHerb is a company dedicated to making healthy living accessible to everyone, and they are seeking a Senior Product Manager for Recommendations & AI. This role will focus on leading the evolution of their e-commerce platform's personalization and AI-driven experiences, collaborating with cross-functional teams to enhance product discovery and customer satisfaction.

Responsibilities:

• Drive AI-Powered Personalization: Lead the development and optimization of AI-driven recommendation systems, leveraging generative AI to create personalized content and experiences that enhance product discovery and conversion
• Generative AI Innovation: Explore and implement innovative applications of generative AI, including personalized product descriptions, tailored content generation, and AI-powered chat/search functionalities
• Data-Driven Optimization: Analyze user behavior, performance metrics, and A/B testing results to identify opportunities for optimization and improvement of recommendation and AI features
• Product Roadmap & Strategy: Define and prioritize the product roadmap for AI-driven recommendations and personalization, aligning with overall business objectives and customer needs
• User Research & Insights: Conduct user research and analyze customer feedback to inform product decisions and ensure a customer-centric approach to AI development
• Cross-Functional Collaboration: Collaborate with engineering, data science, UX/UI, and marketing teams to define requirements, design solutions, and ensure successful product launches
• Product Requirements & Design: Document detailed product requirements, user stories, and design specifications for AI-powered features, ensuring clear communication and alignment across teams
• Agile Development: Actively participate in agile development processes, including sprint planning, daily stand-ups, and retrospectives

Requirements:

• Deep understanding of e-commerce personalization techniques, including collaborative filtering, content-based filtering, and hybrid recommendation systems
• Proven experience with generative AI models (LLMs, diffusion models, etc.) and their application in e-commerce or related fields
• Strong understanding of API integrations for AI services
• Proficiency in data analysis and interpretation, with experience using tools like Google Analytics, SQL, or similar
• Expertise in A/B testing and multivariate experimentation to drive data-driven decision-making
• Strong understanding of machine learning concepts and their application to recommendation systems and personalization
• Experience in defining and managing product roadmaps and prioritizing features based on business impact and customer value
• Excellent communication and collaboration skills, with the ability to effectively communicate complex technical concepts to non-technical stakeholders
• Strong understanding of UX/UI principles and best practices, with the ability to contribute to design discussions and wireframing
• Experience working in an Agile/Scrum environment
• Customer first mentality
• Experience with cloud-based AI platforms (e.g., Google Cloud AI or Vertex AI, AWS SageMaker or Bedrock, OpenAI Enterprise)
• Experience with personalization platforms
• Experience with vector databases
• Experience with prompt engineering