Affiliate Marketing Manager, Reality Labs

Meta Meta · Big Tech · Menlo Park, CA +1

Meta's Reality Labs is looking for an experienced Affiliate Marketing Manager to scale and optimize their affiliate program. This role involves end-to-end ownership, strategy setting, cross-functional leadership, and driving performance impact. The ideal candidate has deep affiliate expertise, strong stakeholder influence, and a rigorous test-and-learn approach. Responsibilities include developing partner growth plans, managing agencies, driving operational improvements, establishing KPIs, leading experimentation, and partnering with Product and Engineering on attribution and tracking. Qualifications include 6+ years in affiliate marketing, agency management, cross-functional leadership, data analysis, and experience with growth program optimization. While not core to the role, the posting mentions AI skill development, integrating AI tools, and adhering to ethical AI practices as desired qualifications.

What you'd actually do

  1. Our strategy and execution for a major affiliate program segment (partners, regions, products, or affiliate marketing), including performance outcomes and operational rigor
  2. Develop partner growth plans: onboarding strategy, activation levers, promotional calendars, and ongoing optimization for incremental sales
  3. Lead agency management for your scope: define work streams and success metrics, run business reviews, ensure the quality and timeliness of deliverables, and drive accountability to performance goals
  4. Drive operational improvements to scale the program (process, tooling, workflows, tracking hygiene, feed quality, partner enablement playbooks)
  5. Establish KPIs for your scope; deliver executive-ready reporting and recommendations that influence the broader program direction

Skills

Required

  • affiliate marketing
  • partnerships
  • performance marketing
  • agency management
  • vendor management
  • cross-functional leadership
  • ambiguous environments
  • data analysis
  • stakeholder presentations
  • affiliate networks
  • publisher relationships
  • contract negotiation
  • commission modeling
  • partner development
  • growth program optimization
  • commission strategy
  • incentives
  • segmentation
  • promotion planning
  • global programs
  • regional compliance
  • AI skill development
  • prompt engineering
  • agent orchestration
  • ethical AI practices
  • risk assessment
  • bias mitigation
  • quality and accuracy reviews
  • AI tool integration
  • workflow optimization
  • consumer electronics
  • consumer tech
  • retail
  • e-commerce
  • entertainment
  • experimentation discipline
  • incremental methods
  • measurement foundations
  • product
  • engineering
  • martech
  • analytics

Nice to have

  • AI tools
  • AI technologies

What the JD emphasized

  • 6+ years of experience in affiliate marketing
  • Demonstrated experience in managing agencies and/or external vendors to achieve performance outcomes
  • Demonstrated ability to lead cross-functional initiatives and operate effectively in an ambiguous environment
  • Experience analyzing program performance data to inform strategy and presenting recommendations to cross-functional stakeholders
  • Experience managing affiliate networks and publisher relationships, including contract negotiation, commission modeling, and partner development.
  • Experience with growth program advanced optimization techniques with a focus on affiliate levers (commission strategy, incentives, segmentation, promotion planning)
  • Experience with global programs and regional compliance considerations
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • Experience in consumer electronics/consumer tech, retail/e-commerce, entertainment, or similarly competitive industry landscapes
  • Experience applying experimentation discipline and familiarity with incremental methods
  • Experience improving measurement foundations in partnership with technical teams (product, engineering, martech, analytics)