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Indexed directly from employers. Every age is their own publish date.
Indexed directly from employers. Every age is their own publish date.
Indexed directly from employers. Every age is their own publish date.
Searching titles and descriptions for “AI Product Manager, Catalog and Content Understanding”. A match may be a passing mention rather than the job itself. Titles only.
10 roles across 12 listings · show every listing
…control access across multiple storage and access layers (like inhouse Reporting Applications and BI tools), track data quality, catalogue datasets and their lineage, detect…
…About You Minimum Qualifications 5+ years of product management experience, with meaningful time spent in catalog, data platforms, content systems, or ML/AI-adjacent…
…and bring both back to the creative standard - Familiarity with asset management and DAM systems — understanding how creative assets are catalogued, versioned, and retrieved…
…Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. Senior Professional Services, Engagement Manager…
…Alexa for Shopping brings together Amazon's AI-powered shopping experiences, including Rufus, our expert shopping assistant trained on Amazon's product catalog and…
…Experience building and shipping AI or data-powered products, with clear understanding of quality, safety, and cost/latency tradeoffs. Proficient product sense grounded in…
…Management and Sales teams to align messaging, influence cross-functional stakeholders, and integrate products into existing GTM motions. Data-Adjacent Domain Knowledge: Functional understanding…
…product vision, strategy and roadmap for SmartHub, Amazon Smart Commerce's multi-channel operations platform spanning order management, inventory, catalog, returns, warehousing and analytics…
…Deep understanding of content and title lifecycle — from creation through production, launch, and ongoing catalog life — and how data, systems, and teams connect across…
…Figma) and code generation. - Practical experience with AI/LLM integration in software products: prompt engineering, agent orchestration, context management, RAG architectures and/or MCP…