Product Manager, Facebook

Meta

$150K — $180K *
Consumer Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 5+ years of industry experience, including 2 years in Product Management
  • Bachelor's degree in a STEM field preferred, but not required
  • 2+ years in building user experiences
  • 1+ year working with AI/ML technologies
  • Experience collaborating with cross-functional teams
  • Proven record in driving product strategy and lifecycle management
  • Strong skills in data analysis and decision-making

Responsibilities

  • Lead a product area by defining success metrics and prioritizing product issues
  • Adapt product strategies based on learnings and changes
  • Collaborate with cross-functional teams to develop roadmaps and facilitate progress
  • Conduct user research and market analysis to inform product decisions
  • Proactively coordinate with partner functions for product success
  • Structure shared roadmaps for optimal outcomes
  • Communicate product strategy clearly to stakeholders and provide mentorship

Benefits

  • Opportunity to work with cutting-edge AI technologies
  • Mentorship opportunities for professional development
  • Collaborative team culture focused on health and wellness
  • Access to cross-functional work environments
  • Potential for significant impact on product direction and success
Full Job Description
Product Managers who value moving quickly.

Responsibilities

Responsible for leading a product area; defining success metrics, prioritizing product problems and identifying the best strategies for the product, aligned with the organizational goals.
• Adapt and adjust your strategy to reflect learnings and changes in the product.
• Work with a cross-functional team to define a product, develop a roadmap and drive progress against goals and milestones and resolve challenges and blockers, while maintaining team health.
• Gather and analyze user research and market analysis to inform product decisions and influence the wider product organization.
• Coordinate proactively across partner functions for product success.
• Structure shared roadmaps for best outcomes.
• Communicate product strategy and progress with clarity to all stakeholders.
• Provide mentorship and coaching to other Product Managers and cross-functional team members where appropriate.

Minimum Qualifications
• 5+ years of relevant industry experience with at least 2 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 working across engineering, design, data science, and partner product teams
• Experience working with a cross-functional product team on a significant product area: Crafting product vision 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 multiple product life cycle phases
• Proven experience to drive a material change in the performance of a product and the effectiveness of the team that delivers that product
• Demonstrated experience to analyze 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 a product team and collaborating with partner teams
• Demonstrated experience in communication, bringing extreme clarity to complex messages

Preferred Qualifications
• 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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