Senior Product Manager – Recs/AI

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iHerb, LLC

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1001 - 5000 employés

Fondée en 1996

🛍️ eCommerce

🧘 Bien-être

🛒 Commerce de détail

eCommerce • Wellness • Retail

iHerb, LLC est une plateforme de e-commerce spécialisée dans les produits de santé et de bien-être. L'entreprise propose une large gamme de produits incluant des vitamines, des suppléments, des herbes, de la nutrition sportive, des produits de beauté, des articles d'épicerie et bien plus. iHerb s'engage à fournir des produits de haute qualité provenant directement des fabricants ou de distributeurs agréés. La plateforme est renommée pour ses prix compétitifs, ses nombreuses critiques de produits, ses services de livraison rapide et une accentuation forte sur la satisfaction du client. iHerb dessert une clientèle internationale, offrant des expéditions vers de nombreux pays à travers le monde.

Description

• 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. • Explore and implement innovative applications of generative AI, including personalized product descriptions, tailored content generation, and AI-powered chat/search functionalities. • Analyze user behavior, performance metrics, and A/B testing results to identify opportunities for optimization and improvement of recommendation and AI features. • Define and prioritize the product roadmap for AI-driven recommendations and personalization, aligning with overall business objectives and customer needs. • Conduct user research and analyze customer feedback to inform product decisions and ensure a customer-centric approach to AI development. • Collaborate with engineering, data science, UX/UI, and marketing teams to define requirements, design solutions, and ensure successful product launches. • Document detailed product requirements, user stories, and design specifications for AI-powered features, ensuring clear communication and alignment across teams. • Actively participate in agile development processes, including sprint planning, daily stand-ups, and retrospectives.

🎯 Exigences

• 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.

🏖️ Avantages

• Employees (and their families) that meet eligibility criteria as outlined in applicable plan documents are eligible to participate in our medical, dental, vision, and basic life insurance programs • Eligible to enroll in our company’s 401(k) plan • Eligible for Time Off and Paid Sick Leave pursuant to the company’s policies • Enjoy paid holidays throughout the calendar year • Hired applicant may be awarded Restrict Stock Units and receive annual bonuses pursuant to eligibility and performance criteria defined in the respective plan documents and policies