Product Manager

Meta

$130K — $180K *
Consumer Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • 10+ years in product management and/or product design
  • 10+ years collaborating with engineering, design, and user research teams
  • Experience throughout the product life-cycle with customer feedback integration
  • Strong critical thinking and analytical leadership skills
  • Proven ability to present to executive audiences
  • Bachelor's degree in Computer Science or related field

Responsibilities

  • Identify significant opportunities in product areas and drive mission and strategy
  • Generate consensus across organizations and provide clarity in ambiguity
  • Plan and manage IT projects for web-based products and platforms
  • Integrate user data and market analysis into product strategies
  • Drive development with engineers and designers while ensuring team health
  • Collaborate with cross-functional teams to define product requirements and roadmaps
  • Define and analyze metrics to measure product success and inform decisions

Benefits

  • Work with cross-functional teams to innovate and execute
  • Opportunity to impact Meta's strategic product direction
  • Environment that values agility and creativity in product development
  • Focus on developing products that enhance user satisfaction and productivity
  • Potential to work on leading-edge AI tools and technologies
Full Job Description
Product Managers work with cross-functional teams of engineers, designers, data scientists and researchers to build products. We are looking for extremely effective Product Managers to help innovate and execute product initiatives across the company and value moving quickly. This job description represents different full-time roles across Meta.

Responsibilities

Is the primary driver for identifying significant near and long-term opportunities in a large Product area, and driving product mission, strategies and roadmaps in the context of broader organizational strategies and goals
• Generate buy-in and drive consensus across organizations. Bring clarity and structure to ambiguous opportunities. Consistently demonstrate initiative and execute with limited oversight
• Plan, initiate, and manage information technology projects for web-based products, applications, and platforms
• Integrate data, usability studies, research, and market analysis into product strategies and requirements to enhance user satisfaction and improve engineer productivity
• Drive product development with teams of engineers and designers, while maintaining team health
• Understand Meta's strategic and competitive position and deliver products that are aligned with our mission and recognized best in the industry
• Work closely with cross-functional teams to drive product mission, define product requirements, coordinate resources from other groups (design, legal, etc.), develop roadmaps, and guide the team through key milestones
• Define and analyze metrics that inform the success of products. Identify and track key performance metrics. Drive decision-making through user insights, quantitative analysis and AB testing
• Maximize efficiency in a constantly evolving environment where the process is fluid and creative solutions are the norm

Minimum Qualifications
• 10+ years product management and/or Product Design
• 10+ years of experience working collaboratively with engineering, design and user research teams
• Experience navigating through the full product life-cycle, integrating customer feedback into product requirements, driving prioritization, and pre- and post-launch execution
• Critical thinking and analytical leadership experience
• Experience presenting to executive audiences
• BA/BS in Computer Science or related field

Preferred Qualifications
• Experience building 0-1 products, platform/ecosystem products, or marketplaces
• Experience in a consumer focused technology company
• 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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