Product Manager, Machine Learning

In this role, you will develop and execute a strategy to enhance Ad supply personalization on FB App. You will spearhead innovative approaches to predict user engagement and optimize ad value, significantly boosting the efficiency and accuracy of our ad supply system.

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
• Understand Facebook’s strategic and competitive position and deliver products that are aligned with our mission and recognized best in the industry
• Maximize efficiency in a constantly evolving environment where the process is fluid and creative solutions are the norm

Minimum Qualifications

• 5+ years product management or related industry experience
• Product management or related industry experience in one of the following areas: Machine Learning based personalization, ranking or recommendations services, or ad-tech
• 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:
• 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
• Displaying leadership, organizational and execution skills
• Proven communication skills 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)
• Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies