Brand Marketing Manager, VR Acquisition
- Location
- Los Angeles, CA
- Work type
- Full Time
- Posted
- 2026-08-03
Job description
Brand Marketing Manager, VR Acquisition Responsibilities
Build highly effective marketing programs to support acquisition goals, with a focus on direct response marketing campaigns
Develop and champion an operational model to drive integration across 1P and 3P acquisition channels and channel owners, leveraging data and insights to fuel strategy and drive business outcomes
Identify marketing opportunities by understanding audiences, the competitive landscape, consumer trends, and product and market data
Ensure a consistency across territories and consumer touchpoints, in collaboration with marketing managers across the business
Demonstrate the effectiveness of marketing investment for the business through both short- and long-term measurement, across marketing flywheel & performance metrics
Foster collaborative behavior that leverages a broad range of viewpoints to drive better business outcomes
Cultivate collaborative internal partnerships, influence through others, resolve conflict, build alignment, and work effectively across teams to execute strategy
Minimum Qualifications
8+ years of experience in a centralized integrated marketing function
Experience shaping briefs to drive strategy and execution in lower funnel performance marketing channels
Proven experience in developing recommendations and synthesizing learnings through data
Demonstrated track record leading cross functional teams while driving tactical execution
Experience managing through ambiguity and identifying opportunities to drive efficiency and impact
Experience in leading complex marketing programs from ideation to execution through to reporting and optimization
Preferred Qualifications
Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
Hardware marketing experience
Programatic marketing experience
Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies