Lead, Gbg Sales Intelligence - Apac

Meta Meta · Big Tech · Hong Kong +1

This role supports sales enablement and operational excellence by translating data and AI tools into actionable guidance for the sales team. It involves developing data-driven sales strategies, managing operational processes, and driving the implementation of AI solutions to maximize performance and efficiency within the APAC region.

What you'd actually do

  1. Drive the development and implementation of innovative programs including Business AI and Business Messaging to maximize performance
  2. Build hypotheses and analyze system performance to generate new insights that directly drive revenue and ROI
  3. Manage the feedback loop by collecting feedback on metrics, sharing in-channel perspectives, and troubleshooting tools
  4. Inform the RVP and their directs of new incentive programs on paid messaging and non-marketing initiatives
  5. Deploy operational expenditure (OPEX) funds at the beginning of the year based on strategic direction

Skills

Required

  • 8+ years of experience in consulting, operations, sales, or product at large-scale organizations
  • Ability to distill complex ideas into simple, actionable insights
  • Experience evaluating data to inform strategy and performing analyses to drive business outcomes
  • 5+ years of experience in SQL and Microsoft Excel for structured data querying, analysis, and reporting
  • data visualization using Tableau, Power BI, or Looker Studio
  • large dataset handling and structured data analysis
  • sales operations methodologies, including sales funnel structure, pipeline management, and account selection strategies
  • Experience with AI solutions
  • The ability to read Chinese
  • Mandarin language proficiency
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
  • 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)

What the JD emphasized

  • AI Native
  • Business AI
  • AI solutions
  • prompt/context engineering
  • agent orchestration
  • integrate AI tools
  • responsible, ethical AI practices