Lead Product Manager, AI

Job Description: Lead Product Manager, AI

Define and deliver the next-gen catalog data model to support multi-brandarchitecture, enabling flexible attributes, relationships, and metadata across product types.

Build and scale content enrichment systems and workflows, integrating AImodels to generate, tag, and validate structured and unstructured product content.

Partner with engineering, data, and merchandising to ensure catalog data is clean, structured, and machine-readable across systems and surfaces.

Drive the vision and roadmap for AI-powered catalog applications – including intelligent categorization and adaptive product discovery.

Collaborate closely with engineering and data science teams to design, build, and deploy models—including RAG (Retrieval-Augmented Generation) pipelines, LLM integrations, and AI-assisted authoring tools for catalog and customer experiences..

Champion cross-brand consistency in product content standards, taxonomies, and metadata models to support omnichannel personalization.

Model excellence in product trio collaboration, uniting Experience Design,

Engineering, and business toward scalable and measurable catalog and AI outcomes.

Lead agile execution by setting best practices and driving clarity across epics, tickets, releases, and experiments.

Act as an evangelist for AI innovation—showcasing proofs of concept, staying current with industry developments, and helping teams understand how to leverage AI to improve customer experience and operational efficiency.

Partner and tactfully influence cross-functionally with site operations, merchandising, customer service, and store operations teams to ensure alignment throughout the product lifecycle.

What You'll Bring | Skills & Experience:

10+ years of experience in product management, including direct ownership of product catalog, PIM, or content management systems for ecommerce, and hands-on experience building and launching AI-enabled products.

Proven success building or modernizing catalog data models and content enrichment services (e.g., PIM/MDM, DAM, or schema-driven systems).

Experience leading AI and data platform initiatives including LLM integrations, RAG pipelines, and generative content systems.

Strong understanding of eCommerce architecture, product data ingestion, attribute governance, and integration with search and recommendation platforms.

Demonstrated understanding of AI and machine learning fundamentals— including model lifecycle management, RAG architectures, prompt engineering, and data retrieval systems.

Experience working with large language models (e.g., OpenAI, Anthropic, or open-source LLMs), and integrating them into customer-facing or internal tools.

Proven ability to lead cross-functional, omni-channel initiatives with high complexity and strategic value.

Product management experience on at least one enterprise commerce platform Salesforce Commerce Cloud, Shopify Plus, CommerceTools, Oracle, etc.); retail experience a plus.

Advanced skills in strategic and analytical thinking, including experimentation, product analytics, and A/B testing.

Skilled at driving end-to-end product requirements, prioritizing complex deliverables, and running technical and business discussions within agile frameworks.

Strong technical and non-technical communication skills, with the ability to influence and align stakeholders across all levels of the organization.

Motivational and tactful leader who builds clarity, momentum, and buy-in across teams.

Curiosity and enthusiasm for AI and structured content systems, continually exploring how advancements like multimodal models, agents and automation can transform retail experiences.

High level of accountability, autonomy, and executional excellence in a fast paced environment.

Bachelor's degree in business, information technology, engineering or equivalent training and experience preferred .