Product Manager, Machine Learning

Meta
Menlo Park, CA

About the job

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

Qualifications

Minimum

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

Preferred

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