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Sr. Product Manager - Recs​/AI

Job in California, Moniteau County, Missouri, 65018, USA
Listing for: iHerb
Full Time position
Listed on 2026-08-07
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software), Data Analyst, Data Scientist, AI Business & Operations
Salary/Wage Range or Industry Benchmark: 177000 - 220000 USD Yearly USD 177000.00 220000.00 YEAR
Job Description & How to Apply Below
Location: California

Overview

For A Better You At iHerb, we believe that living a healthy and balanced life should be easy and accessible to everyone. As a team member, we’ll empower you to live this promise each day as you make a truly global impact in your career. We constantly strive for innovation, while transforming and improving the online shopping experience for our customers.

We believe that individually we are incredible, but when we come together, our growth is infinite. In an industry that is constantly evolving, we are on a mission to make an impact on the global market, and the individual and collaborative efforts of our people are paramount to helping us succeed. Whether you work in one of our logistics centers, technology hubs, corporate offices or even from home, your role at iHerb will take you beyond what’s expected, turning challenge into change.

If you're ready for it, we want you to join our team. Get started now.

Role

The Senior Product Manager – Recommendations & AI will lead the evolution of our e-commerce platform's personalization and AI-driven experiences. This role will focus on leveraging advanced recommendation algorithms and generative AI to deliver highly relevant and engaging customer journeys across all platforms (desktop, mobile web, and app). You will be responsible for analyzing data, defining a strategic roadmap, and driving the implementation of AI-powered features that enhance product discovery, personalization, and overall customer satisfaction.

This role requires close collaboration with cross-functional teams, including engineering, data science, UX/UI, and marketing, to ensure seamless integration and execution of AI initiatives.

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.
Qualifications
  • Knowledge, Skills, and Abilities (Required): 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…
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