Product Manager
Spotted 118d ago
Job details
- Level
- Mid level
- Experience
- 3+ years
- Education
- Bachelor's degree
- Posted
- Jul 1, 2026
- Last confirmed open
- Oct 28, 2026
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Job description
About this role
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
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
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