Senior AI-Native Product Strategist

Meta; Honolulu (HI); On-site; USD 205,000 - 277,000; Full time

Job summary

Meta is seeking a seasoned Product Leader to advance AI-native product development in a fast-moving consumer technology environment. The role emphasizes strategy, cross-functional leadership, and data-driven decision-making to drive impactful experiences at scale.

Ideal candidates demonstrate extensive collaboration with engineering, design, and research teams, plus a track record of launching AI-enabled products and presenting to executives.

Qualifications

• 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.
• 10+ years product management and/or Product Design.
• Experience presenting to executive audiences.
• BA/BS in Computer Science or related field.
• 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 opportunities and drive product strategy and roadmaps aligned with organizational goals.
• Drive consensus across organizations and translate ambiguity into clear plans.
• Lead cross-functional teams of engineers and designers while maintaining team health.
• Reimagine workflows using AI to boost velocity and capability at scale.
• Scale AI best practices across the organization.
• Design and run evaluations to interpret model outputs at scale.

Skills

Cross-functional collaboration

Executive communication

AI tooling

AI strategy

Analytical leadership

Education

BA/BS in CS

Job description

Meta is seeking a seasoned Product Leader to advance AI-native product development in a fast-moving consumer technology environment. The role emphasizes strategy, cross-functional leadership, and data-driven decision-making to drive impactful experiences at scale.

Ideal candidates demonstrate extensive collaboration with engineering, design, and research teams, plus a track record of launching AI-enabled products and presenting to executives.