About the role
AI summarisedMeta is hiring an APAC Marketing Strategic Initiatives Manager to lead high-leverage, cross-functional marketing bets across the APAC region. This hands-on strategic role involves shaping initiatives, aligning stakeholders, mobilizing task forces, and driving measurable impact, with a focus on AI-fluent ways of working. The role is part of the APAC Marketing leadership team as an individual contributor.
BusinessFull-timeGeneral
Key Responsibilities
- Deliver APAC's highest-leverage marketing bets — work that is highly cross-functional, ambiguous, and new.
- End-to-end ownership: shape the bet, align stakeholders, mobilize cross-functional task forces, execute with rigor, and drive measurable impact across Meta's family of apps.
- Own a portfolio of bets, lead through influence, and build durable operating leverage through AI-fluent ways of working.
- Work across markets and functions to help APAC show up as a global driver, not just a participant.
Requirements
- Bachelor's degree or equivalent practical experience.
- 12+ years of experience delivering cross-functional marketing initiatives from strategy through execution and measurement.
- Proven ability to lead complex, ambiguous work through influence across executive stakeholders — not just coordination or program management.
- Analytical and operational rigor: hypotheses, success metrics, instrumentation, and learning loops.
- Communication skills with the proven ability to produce executive-ready narratives and decision documents.
- Experience operating at a portfolio or multi-market level.
- Evidence of building repeatable operating systems that scale impact beyond individual output.
- Demonstrated use of AI-driven workflows that materially improved speed or quality — not just tool familiarity.
- Practical experience and APAC market knowledge and experience to translate local nuance into scalable strategies.
- 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.