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Open nowFirst seen 9 hours ago

Talent Intelligence Researcher, APAC

Meta1,336 open roles

Where
Singapore
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Your applicationOpen nowTalent Intelligence Researcher, APACMeta · Singapore

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  2. CV RocketCV written for this posting.

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The clock on this job

Early applications get read.

13.8% of postings close within 7 days. Measured by our own scanner across the market. Meta postings stay open a median of 35 days.

Share of postings closed within
  1. 2.2%1 day
  2. 4.7%3 days
  3. 13.8%7 days
  4. 22.3%14 days
  5. 37.8%30 days
  6. 59.0%60 days
This job: first seen 9 hours ago

Meta median: 35 days open

The posting

Meta's Talent Intelligence team uses research, data, and market insights to inform how the company attracts, develops, and retains top talent. As a Talent Intelligence Researcher focused on the Asia-Pacific region, you will serve as a strategic advisor to executive leadership and recruiting organizations, translating complex labor market signals into actionable workforce strategies. In this role, you will lead research initiatives that shape hiring priorities, competitive talent positioning, and organizational design decisions across APAC markets, partnering closely with business leaders, HR, and recruiting to ensure Meta's talent strategies are grounded in rigorous, regionally nuanced intelligence.

Responsibilities

  • Lead the design and execution of large-scale talent intelligence research projects across APAC markets, synthesizing labor market data, competitive talent landscapes, and workforce trends into strategic recommendations
  • Serve as a principal advisor to executive stakeholders and HR leadership on talent supply and demand dynamics, compensation benchmarking signals, and competitor hiring movements in the APAC region
  • Develop and maintain frameworks for ongoing talent market monitoring across key APAC geographies, including talent pool sizing, skills availability analysis, and location strategy assessments
  • Translate complex, ambiguous workforce data into clear narratives and decision-ready insights for senior audiences, including written briefings, executive presentations, and strategic memos
  • Define the methodological standards and research quality bar for talent intelligence work across the APAC portfolio, establishing best practices adopted by the broader team
  • Identify emerging talent trends in technology, engineering, and business functions across APAC and proactively surface implications for Meta's long-term workforce planning
  • Partner with recruiting leadership to inform sourcing strategies, talent segmentation, and pipeline development for critical and hard-to-fill roles across the region
  • Collaborate with people analytics, compensation, and HR business partner teams to integrate talent intelligence findings into workforce planning models and organizational design decisions
  • Brief senior executives on market conditions and hiring risks, give a clear recommendation, and prepare them for direct outreach to candidates

Minimum Qualifications

  • Professional fluency in Mandarin and English, including the ability to research, brief, and engage senior talent in both languages, as the role requires direct engagement with candidates and stakeholders in Mandarin-speaking markets across APAC
  • 8+ years of research or sourcing experience in executive search, in-house or at a firm, with ownership of high-profile or hard-to-fill searches
  • Experience using labor market research and data analysis to directly inform hiring strategies or workforce planning decisions
  • Experience in identifying, assessing, and engaging executive and scarce technical talent, including through new sourcing and research methods
  • Experience working independently in ambiguous, high-stakes environments and handling confidential information

Preferred Qualifications

  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
  • Experience in presenting to C-suite or equivalent audiences
  • Experience in building research or automation tools
  • 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 recruiting in a frontier AI environment such as an AI lab, research organization, or early-stage build team
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