Meta AR/VR Job | AR Paid Social Media Lead, Reality Labs
Job（岗位）: AR Paid Social Media Lead, Reality Labs
Type（岗位类型）: Marketing | Media
Citys（岗位城市）: New York, NY
Date（发布日期）: 2022-1-31
Summary（岗位介绍）
We are seeking a Paid Social Performance Marketing Lead to join the Augmented Reality (AR) marketing team to drive outbound marketing strategy and optimize marketing performance across paid social channels. This person will focus on AR marketing strategy and collaborate closely with decision science, comms planning, product marketing, research, ecommerce, creative teams, and Meta business partners like EssilorLuxottica. Specifically, this person will drive strategy for Meta’s smart glasses partnership with Ray-Ban (Ray-Ban Stories), Meta’s augmented reality software development platform (Spark AR), and all future Meta AR products. This person is data driven, biased towards action and thrives in a fast paced unstructured environment. They will also have strong cross channel and/or integrated marketing experience and excellent problem solving and communication skills.
Qualifications（岗位要求）
BA/BS degree
8+ years experience in paid social marketing
Experience in experimentation, A/B testing, analyzing data sets, and interpreting them to make business decisions
Experience working with cross functional teams
Communication skills and experience defining and managing a project
Experience thriving in a fast-paced entrepreneurial, unstructured environment
Description（岗位职责）
Lead short and long-term paid social media strategy both internally at Meta and with external business partners
Develop and drive optimization programs alongside direct reports to increase performance across the full marketing funnel including awareness, conversions
Drive experimentation across key optimization levers e.g. creative, promotion, bid strategy, landing page, channel
Brainstorm and identify new optimization and growth opportunities across paid social channels by leveraging campaign data and analysis
Collaborate with decision science on lift measurement, attribution model, media mix model requirements and enhancements
Identify budget optimization strategies using attribution data and media mix models developed by Decision Science. Work with communications planning team and agency partners to integrate paid social with cross-channel media strategies and tactics
Partner closely with cross-functional teams across all workstreams to influence and align on optimization and planning efforts. Cross-functional teams include: product marketing, decision science, comms planning, organic social and influencer, media agency, e-commerce, retail, research, analytics, creative, and EssilorLuxottica
Additional Requirements（额外要求）
Experience in consumer hardware, ecommerce, or augmented/virtual reality
Multi-channel marketing experience
Global marketing experience
