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Product Manager, Facebook

Job in Menlo Park, San Mateo County, California, 94029, USA
Listing for: Meta
Full Time position
Listed on 2026-09-12
Job specializations:
  • IT/Tech
    AI Business & Operations, AI Engineer (Applied/Software), Product Engineer
Salary/Wage Range or Industry Benchmark: 150000 - 210000 USD Yearly USD 150000.00 210000.00 YEAR
Job Description & How to Apply Below

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.

  • 8+ years of relevant industry experience with at least 3 years in Product Management
  • Bachelor's degree (or relevant degree equivalent): STEM subject ideal but not essential (Computer Science, Engineering, Information Systems, Analytics, Mathematics, Physics, Applied Sciences)
  • 2+ years of experience building UX experiences
  • 1+ year of experience working with AI/ML technologies (on-device models, generative AI, computer vision) and translating technical capabilities into product experiences is critical as well
  • Experience leading cross-functional product team(s) across a full product line:
    Crafting product mission and strategy, defining product requirements, coordinating resources from other groups (marketing, legal, etc.), and driving the team to achieve key milestones and goals
  • Experience managing a product through the full product lifecycle
  • Proven experience to drive a step change in the performance of a product and the effectiveness of the team that delivers that product
  • Extensive understanding in analyzing large scale, complex data sets and making effective decisions based on data
  • Experience integrating a diverse set of requirements from a broad set of users as well as context into a single coherent product strategy
  • Experience leading and motivating teams and influencing across an organisation
  • Demonstrated experience in communication, bringing extreme clarity to complex messages
  • Experience identifying and hiring the right talent to build a cross-functional team
  • 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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