Strategic Marketing Insights Lead for AI and Devices

Meta; Los Angeles (CA); On-site; USD 160,000 - 219,000; Full time

Benefits offered by this job

Bonus

Equity

Benefits

Job summary

Meta is seeking a Marketing Insights Manager within Reality Labs to translate strategic insights into actionable marketing plans and roadmaps. You will work across RL Marketing and product teams to shape consumer-focused growth strategies and GTM initiatives, partnering with Decision Science, Data Science, and UXR to drive business impact.

The role emphasizes leadership, cross-functional collaboration, and the ability to synthesize complex ideas into concise, executive-level recommendations that

Qualifications

• 10+ years of experience in quantitative and qualitative research.
• 3+ years of team management/leadership experience.

Responsibilities

• Own the holistic learning agenda for the Horizontal AI on devices, FoA integration, and privacy.
• Partner with RL Marketing to drive consumer-centric marketing strategy and inform product go-to-market plans.
• Provide thought leadership to stakeholders across Product Marketing, Integrated Marketing, Comms, Partnerships, and Product Management.
• Influence decision-making and annual category/marketing planning through clear communication with leaders.
• Lead and build a high-functioning team covering GTM strategy development and product experiences.

Skills

Leadership experience

Strategic thinking

Cross-functional collaboration

Communication skills

Data-driven decision making

Marketing strategy

Job description

Meta is seeking a Marketing Insights Manager within Reality Labs to translate strategic insights into actionable marketing plans and roadmaps. You will work across RL Marketing and product teams to shape consumer-focused growth strategies and GTM initiatives, partnering with Decision Science, Data Science, and UXR to drive business impact.

The role emphasizes leadership, cross-functional collaboration, and the ability to synthesize complex ideas into concise, executive-level recommendations that