Senior Product Manager – Recs/AI

🕒 Fevereiro 25

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iHerb, LLC

SiteLinkedInTodas as Vagas

1001 - 5000 funcionários

Fundada em 1996

🛍️ Comércio Eletrônico

🧘 Bem-estar

🛒 Varejo

eCommerce • Wellness • Retail

A iHerb, LLC é uma plataforma de e-commerce que se especializa em produtos de saúde e bem-estar. A empresa oferece uma ampla gama de produtos, incluindo vitaminas, suplementos, ervas, nutrição esportiva, produtos de beleza, itens de mercearia e mais. A iHerb está comprometida em fornecer produtos de alta qualidade, adquiridos diretamente de fabricantes ou distribuidores autorizados. A plataforma é conhecida por seus preços competitivos, extensas avaliações de produtos, serviços de entrega rápida e um forte ênfase na satisfação do cliente. A iHerb atende a uma base de clientes internacional, oferecendo envio para diversos países ao redor do mundo.

Descrição

• 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.

🎯 Requisitos

• 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.

🏖️ Benefícios

• 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