We are looking for a Product Manager to working on the Product Intelligence AI / ML team. This role is broadly responsible for driving product strategy, goal setting and execution for the ML Modeling track of Product Intelligence and Catalog Metadata. The person in this role will serve as a product and technical leader for a deep-tech, AI-first area. Catalog is a key part of the broader Ads organization, primarily responsible for the end-to-end lifecycle of high-quality product and website data. Our core mission is to acquire, enrich, and deploy this data across Meta’s ecosystem to enable delightfully relevant, automated ads experiences at scale. Currently, Catalog-powered Ads represent some of the highest-performing ad formats at Meta, contributing a significant portion of total Meta revenue. Beyond the core Ads business, Catalog acts as a vital foundational layer for several emerging Meta initiatives. These include next-generation commerce experiences such as Shop Everything, Meta AI Shopping, and Business Agents.
Product Manager Responsibilities
Drive product vision, strategy and roadmap for the ML Modeling track — Product Content Understanding. Product Content Understanding, Product Embedding & Retrieval, and Metadata Extraction
Identify the highest-leverage modeling and data levers with engineering, and prioritise execution towards high quality as measured by defined benchmarks
Understand Meta’s strategic and competitive position in product understanding and visual search, and deliver capabilities recognized as best in the industry
Incorporate data, research, benchmarking and market analysis to inform product strategy and roadmap
Expand utilisation of Catalog/Product Intelligence capabilities across Meta use cases (Shop Everything, ranking, retrieval, MSL and others), converting partner demand into platform primitives rather than bespoke builds
Own intake, prioritization and communication for partner asks, and operationalize x-org working models with deep-tech partners (MGenAI, PCA, MSL)
Drive product development with a team of ML engineers and designers, while maintaining team health
Work closely with cross-functional teams to define product requirements, coordinate resources from other groups (design, research, legal, etc.), and guide the team through key milestones
Operate independently, think strategically, and communicate effectively — including to leadership audiences — to drive successful outcomes
Define and analyze the metrics and benchmarks that inform the success of these capabilities (e.g. exact match, precision/recall, latency, coverage), and identify and track key performance metrics
Minimum Qualifications
2+ years in Product Management working collaboratively with engineering, design and user research teams
Experience partnering with ML/research engineering teams and translating model capability into shipped product surfaces or APIs
Experience working in the Advertising, e-Commerce or AI/ML industry on data and machine learning led products such as data acquisition, enrichment, content understanding, embeddings, retrieval or ranking
Experience navigating the full product life-cycle, integrating customer feedback into product requirements, driving prioritization, and pre/post-launch execution
Critical thinking and analytical leadership experience, including defining metrics and quality benchmarks
Experience communicating with and presenting to leadership and technical audiences
Experience building and shipping high quality work and achieving high reliability
AI native PM with demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
Preferred Qualifications
Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
Experience with multimodal models, embeddings and retrieval systems, or visual search / product recognition
Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
Experience working on Catalog or product-data related products in e-commerce or advertising
