Product Manager

Meta Product Managers work with cross-functional teams of engineers, designers, data scientists and researchers to build products. We are looking for Product Managers who value moving quickly.

Responsibilities

• Be responsible for driving one or more projects within a product area. Define success metrics, prioritize product problems and identify the best solutions to achieve the overall goals
• Work with the cross-functional team to develop a roadmap, drive progress against milestones and resolve blockers, whilst maintaining team health
• Gather and analyze user research, product insights and market analysis to inform product decisions
• Coordinate effectively across all functions relevant to your product area, aligning and influencing roadmaps where appropriate
• Communicate clearly upwards and sideways on product plans and progress

Minimum Qualifications

• 3+ years product management or related industry experience
• Bachelor's degree (or relevant degree equivalent): STEM subject ideal but not essential (Computer Science, Engineering, Information Systems, Analytics, Mathematics, Physics, Applied Sciences)
• Experience working with a cross-functional product team on key product projects: Crafting product mission and strategy, defining product requirements, and driving the team to achieve key milestones and goals
• Proven experience to have an impact on the product outcomes and improve the effectiveness of a product team
• Extensive understanding to analyze data and deploy it to make the right decisions for a product
• Experience using a mixture of approaches to understand requirements from users and identifying the appropriate product solution
• Experience leading and motivating a product team
• Clear and concise communication 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