Software Engineer III

Meta Platforms, Inc. is seeking a Software Engineer III to support growth marketing platform engineering. The role focuses on developing deep links, audience data pipelines, conversion tracking, marketing integrations, and end-to-end promotional experimentation.

Responsibilities:

• Develop and maintain deep links for paid campaigns, influencer attribution, referrals, and off-platform channels, incorporating optimized targeted routing solutions
• Construct custom audience data tables derived from cross-app user behavioral metrics and integrate them with advertising platform infrastructure
• Implement and maintain conversion tracking mechanisms (advertising pixels) within user onboarding flows to enable real-time campaign optimization based on funnel behavior
• Support targeted marketing email initiatives by mapping user behavioral signals into defined audience parameters
• Execute end-to-end growth and promotional experimentation

Requirements:

• Expertise in developing and managing campaign links across web and mobile applications
• Proficiency in constructing audience segmentation tables from complex behavioral datasets
• Proficiency with conversion pixels, custom audience integrations, and campaign tracking architectures
• Demonstrated skill in Python Alongside Hack/PHP, Java, or JavaScript
• Experience in designing, executing, and evaluating growth experiments
• Deeplinking, campaign tracking and attribution at consumer scale (App Links / Universal Links, iOS/Android/web, URL parameter taxonomies, click-to-conversion attribution)
• Marketing data and audience engineering — strong SQL, behavioral signal tables, scheduled pipelines, syncing custom audiences into an ads platform or CDP
• Growth marketing platform engineering with a proven track record partnering directly with marketing teams
• Lifecycle messaging and personalization — marketing automation platform integration (SFClient, Braze, Iterable or equivalent), journey/trigger config, API-driven personalization
• Email marketing with ML propensity and personalization layers
• Big-tech / large consumer-platform background; dashboarding and self-serve tooling for non-engineers