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


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.


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


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