Product Manager, Machine Learning

Meta

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

Qualifications

  • 8+ years of product management or related industry experience, focusing on Machine Learning expertise.
  • Bachelor's degree or equivalent in a technical field like Computer Science, Engineering, or Analytics.
  • Experience driving product vision and coordination in cross-functional settings.
  • Proven track record in analyzing complex data sets for decision making.
  • Strong leadership, organizational, and execution skills.

Responsibilities

  • Drive product vision, strategies, and roadmaps aligned with organizational goals.
  • Utilize data and market analysis to inform product decisions and strategies.
  • Lead and motivate cross-functional teams to ensure project success and team cohesion.
  • Understand industry positioning to create recognized, competitive products.
  • Maximize operational efficiency in a dynamic, creative environment.

Benefits

  • Opportunities for career growth and professional development.
  • Collaborative and innovative work environment.
  • Access to the latest technologies in Machine Learning and AI.
  • Participation in product initiatives that shape industry standards.
  • Flexible working conditions suited for a fluid and evolving workspace.
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 entrepreneurial Product Managers with Machine Learning expertise who value moving quickly, and can help innovate and coherently drive product initiatives across the company.

Responsibilities

Display strong leadership, organizational and execution skills
• Is the primary driver for identifying significant opportunities, and driving product vision, strategies and roadmaps in the context of broader organizational strategies and goals
• Incorporate data, research and market analysis to inform product strategies and roadmaps
• Leads and motivates a team of engineers and other cross-functional representatives, and maintains team health
• Understand Facebook's strategic and competitive position and deliver products that are aligned with our mission and recognized best in the industry
• Maximize efficiency in a constantly evolving environment where the process is fluid and creative solutions are the norm

Minimum Qualifications
• 8+ years product management or related industry experience with domain specific expertise in Machine Learning
• Requires a Bachelor's degree (or foreign degree equivalent) in Computer Science, Engineering, Information Systems, Analytics, Mathematics, Physics, Applied Sciences, or a related field and 2+ years of experience in the following:
• Experience working in a technical environment with a broad, cross functional team to drive product vision, define product requirements, coordinate resources from other groups (design, legal, etc.), and guide the team through key milestones
• Experience delivering technical presentations
• Experience in analyzing complex, large-scale data sets and making decisions based on data
• Experience in gathering requirements across broad areas and users, and converting and developing them into a product solution
• Displaying leadership, organizational and execution skills
• Proven communication skills

Preferred Qualifications
• Experience with leveraging ML/AI to build large scale consumer products.
• Experience going through a full product lifecycle, integrating customer feedback into product requirements, driving prioritization and pre/post-launch execution.
• Experience defining vision and strategy for a product.
• Experience recruiting and leading a cross-functional team of world-class individuals.
• Enthusiastic and resilient in a constantly evolving environment where the process is fluid and creative solutions are the norm.
• 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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