Product Manager, Product Intelligence and Recognition will develop and drive new technologies to drive product recognition and help users seamlessly understand products across Metas family of apps.
The Product Recognition teams vision is to build a state-of-the art product recognition platform which identifies products in images or videos. It is used across our family of apps in ads, organic content, and device-captured content (e.g. images perceived through Meta hardware devices like Ray Ban). This allows us to enable a set of use cases which solve significant problems for buyers, advertisers/creators, and Meta.
Product Manager, Product Intelligence & Recognition Responsibilities
The Product Manager will work with cross-functional teams of engineers, designers, data scientists and researchers to build products. We are looking for Product Managers who value moving with urgency, are metrics oriented and can initiate and lead cross organization engagement across timezones effectively
Is the primary driver for identifying significant opportunities, and driving product vision, strategies and roadmaps in the context of broader organizational strategies and goals
Incorporate data, research, and market analysis to inform product strategies and roadmaps
Drive product development with teams of engineers and designers, while maintaining team health
Define and analyze metrics that inform the success of products. Identify and track key performance metrics
Requirements: Minimum Qualifications
Significant experience within Product Management in high growth technology environments
Experience working in a technical environment with a broad, cross functional team to drive product vision, define product requirements, coordinate resources from other groups (design, legal, etc.), and guide the team through key milestones
Experience going through a full product lifecycle, integrating customer feedback into product requirements, driving prioritization and pre/post-launch execution
Technical experience with analytical tools, methodologies, and design
Demonstratable leadership, organizational and execution skills
Proven communication skills
Preferred Qualifications
Computer vision experience
Bachelor's degree (or degree equivalent) in Computer Science, Engineering, Information Systems, Analytics, Mathematics, Physics, Applied Sciences
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