AI-Driven Product Strategy Lead

Meta; Montpelier (VT); On-site; USD 205,000 - 277,000; Full time

Job summary

Meta in the United States is seeking a seasoned Product Staff leader to drive strategic direction, coordinate cross-functional teams, and champion AI-native product development. You will shape roadmaps, guide AI-enabled initiatives, and work with engineering, design, and data science to deliver high-impact products.

The role emphasizes rapid experimentation, data-driven decision making, and responsible AI practices across the organization.

Qualifications

• 10+ years of experience collaborating with engineering, design and user research teams
• Experience navigating full product life-cycle, gathering customer feedback and driving launches
• 10+ years product management and/or Product Design
• Experience presenting to executive audiences
• Demonstrated proficiency using AI-enabled tools to build product artifacts at scale
• Experience developing and championing AI-native strategies across organizations
• Critical thinking and analytical leadership experience

Responsibilities

• Identify significant near and long-term opportunities and drive product missions and roadmaps
• Generate buy-in and drive consensus across organizations
• Bring clarity to ambiguous opportunities and execute with limited oversight
• Lead cross-functional teams of engineers and designers to define requirements and milestones
• Reimagine workflows using AI tools to boost team velocity and capabilities
• Scale AI best practices and data-driven decision making across the organization

Skills

Vision & Strategy

Leadership & Collaboration

Execution & Prioritization

AI-native strategies

Communication

Measurement & Impact

Education

BA/BS in Computer Science or related field

Job description

Meta in the United States is seeking a seasoned Product Staff leader to drive strategic direction, coordinate cross-functional teams, and champion AI-native product development. You will shape roadmaps, guide AI-enabled initiatives, and work with engineering, design, and data science to deliver high-impact products.

The role emphasizes rapid experimentation, data-driven decision making, and responsible AI practices across the organization.