AI-Driven Product Manager — Scale & Strategy

Meta; Montgomery (AL); On-site; USD 205,000 - 277,000; Full time

Job summary

Meta is seeking extremely effective Product Managers to own initiative delivery and AI initiatives across the company. The role emphasizes driving product strategies, roadmaps, and cross-functional collaboration with engineers, designers, data scientists, and researchers.

Candidates should bring deep experience in AI-native strategies, complex execution, and the ability to translate research into market-ready product visions while championing responsible AI practices.

Qualifications

• Demonstrated proficiency using AI-enabled tools to build product artifacts at scale.
• 10+ years of experience working collaboratively with engineering, design and user research teams.
• 10+ years product management and/or Product Design.
• Experience developing and championing AI-native strategies across organizations.
• Experience presenting to executive audiences.
• BA/BS in Computer Science or related field.

Responsibilities

• Identify significant near and long-term opportunities and drive product strategies and roadmaps.
• Generate buy-in and drive consensus across organizations with clear, structured plans.
• Translate AI capabilities into differentiated product visions and market categories.
• Drive product development with engineering and design teams while maintaining team health.
• Define product requirements and coordinate resources across functions.

Skills

AI-enabled tools

Cross-functional collaboration

Executive communication

Critical thinking

Education

BA/BS in Computer Science or related field

Tools

Prompt engineering

Agent orchestration

Job description

Meta is seeking extremely effective Product Managers to own initiative delivery and AI initiatives across the company. The role emphasizes driving product strategies, roadmaps, and cross-functional collaboration with engineers, designers, data scientists, and researchers.

Candidates should bring deep experience in AI-native strategies, complex execution, and the ability to translate research into market-ready product visions while championing responsible AI practices.