Product Manager

Meta Meta · Big Tech · Menlo Park, CA

Product Manager at Meta Platforms, Inc. responsible for planning, initiating, and managing IT projects for web-based products and platforms. This role involves leading the ideation, technical development, and launch of innovative tools, platforms, and products, driving product vision, defining requirements, and coordinating cross-functional teams. The position requires integrating user research and market analysis, defining success metrics, and evolving existing products to enhance user experience. The ideal candidate will have experience managing the full product lifecycle, from technical architecture and UI design to gathering requirements, driving prioritization, and executing pre/post-launch strategies with data-driven insights.

What you'd actually do

  1. Plan, initiate, and manage information technology projects for web-based products and platforms.
  2. Lead the ideation, technical development, and launch of innovative tools, platforms, and/or products.
  3. Drive product development with teams of world-class engineers and designers.
  4. 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.
  5. Integrate usability studies, research, and market analysis into product requirements to improve engineer productivity and enhance user satisfaction.

Skills

Required

  • Master’s Degree (or foreign degree equivalent) Computer Science, Engineering, Information Systems, Analytics, Mathematics, Physics, Applied Sciences, Business Administration, or a related field
  • 3 years of experience in job offered or computer related occupation
  • Managing delivery of at least one hardware/software product
  • Technical architecture of complex and highly scalable web applications or media products
  • Designing simple and intuitive user interfaces
  • Creating examples through wire frames and mock ups
  • Working in a technical environment with a broad, cross functional team
  • Delivering technical presentations
  • Analyzing complex, large-scale data sets and making decisions based on data
  • Gathering requirements across diverse areas and users, and converting and developing them into a product solution
  • Technical experience with analytical tools, methodologies, and design
  • Going through a full product lifecycle
  • Integrating customer feedback into product requirements
  • Driving prioritization and pre/post-launch execution
  • Building and shipping applications or software of features/products that encompass an end-to-end experience within a large-scale, ambiguous domain
  • Driving execution with quantitative and qualitative data on user behavior, platform stats, and experimentation

What the JD emphasized

  • Master’s Degree (or foreign degree equivalent) Computer Science, Engineering, Information Systems, Analytics, Mathematics, Physics, Applied Sciences, Business Administration, or a related field and 3 years of experience in job offered or computer related occupation
  • Requires three years of experience in the following: Managing delivery of at least one hardware/software product
  • Technical architecture of complex and highly scalable web applications or media products
  • Designing simple and intuitive user interfaces
  • Creating examples through wire frames and mock ups
  • Working in a technical environment with a broad, cross functional team
  • Delivering technical presentations
  • Analyzing complex, large-scale data sets and making decisions based on data
  • Gathering requirements across diverse areas and users, and converting and developing them into a product solution
  • Technical experience with analytical tools, methodologies, and design
  • Going through a full product lifecycle, integrating customer feedback into product requirements, and driving prioritization and pre/post-launch execution
  • Building and shipping applications or software of features/products that encompass an end-to-end experience within a large-scale, ambiguous domain, and Driving execution with quantitative and qualitative data on user behavior, platform stats, and experimentation