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Meta

Enterprise Technical Sales Specialist, APAC

Meta
BusinessSingapore, Singapore, ['SGP']; SingaporeFull-time1 months ago
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About the role

AI summarised

Meta is seeking an Enterprise Technical Sales Specialist for APAC to drive sales of Business Messaging and AI solutions to mid and large-sized clients. The role involves end-to-end sales, technical solutioning, executive engagement, and cross-functional collaboration to help clients adopt Meta's platform for customer engagement.

BusinessFull-timeGeneral

Key Responsibilities

  • Prospecting, pipeline development, executive engagement, technical design and closing business with key clients by presenting products packaged as the right business solutions based on individual business needs
  • Joint client architecture workshops
  • Driving execution through internal cross functional teams and external partners
  • Enable clients to realize the full potential of Meta's Business Messaging Platform and AI as a customer engagement solution
  • Prioritize work, act with urgency and collaborate across teams
  • Work with Product, Business Development, Marketing, Operations and Engineering teams to achieve short and long term objectives

Requirements

  • 8+ years Enterprise sales experience
  • Possess executive maturity, presence and experience in building trust with decision makers and articulating business value to key decision makers
  • Experience in leading and driving the entire sales cycle, orchestrating cross-functional teams where necessary, leveraging repeatable offerings that maximize revenue and increase client satisfaction
  • Analytical and problem-solving experience with large-scale systems
  • Experience operating autonomously across multiple teams, demonstrated critical thinking, and thought leadership
  • Bachelor's degree
  • 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