QualificationsCommunication skillsComputer visionMachine learningProduct managementAIBachelor’s degree
Product Manager, Artificial Intelligence (AI)/Machine Learning (ML) Responsibilities:
Plan, initiate, and manage AI/ML technology projects for web-based products and platforms.
Lead the ideation, technical development, and launch of innovative ML tools, platforms, and/or products.
Drive large-scale ML 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 ML systems. Identify and track key performance metrics.
Understand Meta’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.
Enthusiastic and resilient 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.
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.
Product management or product design experience.
Experience using AI/ML technology, and ideally coursework (e.g. Andrew Ng’s courses)
Working experience 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.
Knowledge in delivering technical presentations.
Experience analyzing complex, large-scale data sets and making decisions based on data.
Displaying leadership, organizational and execution skills.
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.
Proven communication skills.
Preferred Qualifications:
Deep experience in ML or ranking-heavy areas such as ads and content personalization, ranking, search, content understanding (computer vision, automatic speech recognition, text), assistants, and more.
Experience identifying significant opportunities, and driving product vision, strategies and roadmaps in the context of broader organizational strategies and goals.
Experience going through a full product lifecycle, integrating customer feedback into product requirements, driving prioritization and pre/post-launch execution.
Facebook is proud to be an Equal Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law.Facebook is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at [email protected].