Impress employers and recruiters.
Choose from hundreds of resume examples.
Impress employers and recruiters.
Choose from hundreds of resume examples.
Tailor your resume to this Product Manager role.
Rezi rewrites your resume against Meta's job description. Free.
Tailor your resume to this Product Manager role.
Rezi rewrites your resume against Meta's job description. Free.
Don't guess if your resume is good enough.
See how it scores against the Product Manager posting at Meta — free, in seconds.
Don't guess if your resume is good enough.
See how it scores against the Product Manager posting at Meta — free, in seconds.
About the Role
Drive product strategy, goal setting, and execution for the ML Modeling track of Product Intelligence and Catalog Metadata. Serve as a product and technical leader in a deep-tech, AI-first area crucial for Meta's advertising business and emerging commerce initiatives.
Responsibilities
- Drive product vision, strategy, and roadmap for ML Modeling tracks: Product Content Understanding, Product Embedding & Retrieval, and Metadata Extraction.
- Identify high-leverage modeling and data opportunities with engineering and prioritize execution for high quality.
- Understand Meta's strategic position in product understanding and visual search to deliver industry-leading capabilities.
- Incorporate data, research, benchmarking, and market analysis to inform product strategy and roadmap.
- Expand utilization of Catalog/Product Intelligence capabilities across Meta use cases, converting partner demand into platform primitives.
- Own intake, prioritization, and communication for partner asks, and operationalize cross-organizational working models.
- Drive product development with ML engineers and designers, while maintaining team health.
- Define product requirements, coordinate resources from cross-functional teams, and guide the team through key milestones.
- Operate independently, think strategically, and communicate effectively to leadership to drive successful outcomes.
- Define and analyze metrics and benchmarks for capability success, and track key performance indicators.
Requirements
- 2+ years in Product Management collaborating with engineering, design, and user research teams.
- Experience partnering with ML/research engineering teams and translating model capabilities into shipped products or APIs.
- Experience in Advertising, e-Commerce, or AI/ML industry on data and machine learning led products.
- Experience navigating the full product lifecycle, integrating customer feedback, driving prioritization, and managing pre/post-launch execution.
- Critical thinking and analytical leadership experience, including defining metrics and quality benchmarks.
- Experience communicating and presenting to leadership and technical audiences.
- Experience building and shipping high-quality work with high reliability.
- AI native PM with demonstrated ability to integrate AI tools to optimize workflows and drive measurable impact.
Skills
- Product Management
- ML/research engineering collaboration
- Advertising
- e-Commerce
- AI/ML
- Data acquisition
- Data enrichment
- Content understanding
- Embeddings
- Retrieval
- Ranking
- Product lifecycle management
- Customer feedback integration
- Prioritization
- Pre/post-launch execution
- Critical thinking
- Analytical leadership
- Metrics definition
- Quality benchmarking
- Leadership communication
- Technical communication
- AI tool integration
- Workflow optimization
- Responsible AI practices
- Multimodal models
- Visual search
- Product recognition
- Prompt/context engineering
- Agent orchestration
- Catalog products
- Product-data products
Location
- Remote
Work Type
- Full-time
Experience Level
- 2+ years
About the Company
- 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.
- 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, including next-generation commerce experiences such as Shop Everything, Meta AI Shopping, and Business Agents.