Product Manager, Machine Learning

Responsibilities

Display strong leadership, organizational and execution skills 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 Leads and motivates a team of engineers and other cross-functional representatives, and maintains team health 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

Qualifications

8+ years product management or related industry experience with domain specific expertise in Machine Learning 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 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 in analyzing complex, large-scale data sets and making decisions based on data Experience in gathering requirements across broad areas and users, and converting and developing them into a product solution Displaying leadership, organizational and execution skills Proven communication skills Experience with leveraging ML/AI to build large scale consumer products. Experience going through a full product lifecycle, integrating customer feedback into product requirements, driving prioritization and pre/post-launch execution. Experience defining vision and strategy for a product. Experience recruiting and leading a cross-functional team of world-class individuals. Enthusiastic and resilient in a constantly evolving environment where the process is fluid and creative solutions are the norm. 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