Apac Marketing Strategic Initiatives Manager

Meta Meta · Big Tech · Singapore

This role focuses on driving marketing initiatives within the APAC region for Meta, emphasizing the strategic use of AI-driven workflows to improve efficiency and impact. The manager will own critical marketing bets, lead through influence, and build AI-fluent operating advantages.

What you'd actually do

  1. Own critical bets: Identify and ship multi-quarter opportunities across apps and audiences, turn ambiguity into a plan (strategy, milestones, resourcing), and drive measurable outcomes with clear incrementality and testable hypotheses
  2. Lead through influence: Mobilize cross-functional partners, drive decision clarity on priorities, tradeoffs, and execution — keeping bets aligned and moving without direct authority
  3. Build AI-fluent operating advantage: Design and implement AI-driven workflows that improve speed and quality across synthesis, briefs, experimentation, creative iteration, and reporting — and establish repeatable mechanisms that scale beyond individual output and increase team velocity
  4. Influence roadmaps as a marketing unlock: Surface product needs and leverage points from APAC execution, run a closed-loop with partners (signal → asks → plans → shipped outcomes), and turn APAC signals into scalable plays that travel across markets without losing local nuance
  5. Raise the bar on execution and measurement: Set the standard for full-stack delivery; partner with Insights and Analytics to define success metrics, run tests, and translate learnings into next-bet decisions

Skills

Required

  • APAC market knowledge
  • Translate local nuance into scalable strategies
  • AI-driven workflows
  • Analytical and operational rigor
  • Portfolio or multi-market level experience
  • Cross-functional marketing initiatives
  • Executive-ready narratives and decision documents
  • Lead complex, ambiguous work through influence
  • Integrate AI tools to optimize/redesign workflows
  • Responsible, ethical AI practices
  • Ongoing AI skill development
  • Prompt/context engineering
  • Agent orchestration

Nice to have

  • AI tools familiarity

What the JD emphasized

  • Demonstrated use of AI-driven workflows that materially improved speed or quality — not just tool familiarity
  • Demonstrated analytical and operational rigour: hypotheses, success metrics, instrumentation, and learning loops
  • Proven ability to lead complex, ambiguous work through influence across senior stakeholders — not just coordination or program management
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • 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