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Product Manager, Machine Learning

Meta

$142,000 - $201,000
Sep 17, 2025
New York, NY, US
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Enhance Ad supply personalization on FB App by predicting user engagement and optimizing ad value, boosting the efficiency and accuracy of the ad supply system.

Requirements

  • Product management or related industry experience in one of the following areas: Machine Learning based personalization, ranking or recommendations services, or ad-tech
  • Experience product management or product design
  • 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 delivering technical presentations
  • Experience analyzing complex, large-scale data sets and making decisions based on data
  • Experience gathering requirements across diverse areas and users, and converting and developing them into a product solution
  • Technical experience with analytical tools, methodologies, and design

Responsibilities

  • Plan, initiate, and manage information technology projects for web-based products and platforms.
  • Lead the ideation, technical development, and launch of innovative tools, platforms, and/or products.
  • Drive product development with teams of world-class engineers and designers, while maintaining team health.
  • Work closely with cross-functional teams to drive product vision, define product requirements, coordinate resources from other groups (design, legal, etc.), and guide the team through key milestones.
  • Integrate usability studies, research, and market analysis into product requirements to improve engineer productivity and enhance user satisfaction.
  • Define and analyze metrics that inform the success of products.
  • Identify and track key performance metrics.

Other

  • 5+ years product management or related industry experience
  • Requires a Bachelor's degree (or foreign degree equivalent) in Computer Science, Engineering, Information Systems, Analytics, Mathematics, Physics, Applied Sciences, or a related field and 2+ years of experience in the following:
  • Displaying leadership, organizational and execution skills
  • Proven communication skills
  • Maximize efficiency in a constantly evolving environment where the process is fluid and creative solutions are the norm.