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How to Pass Meta's ATS in India (2025 Guide)

Meta hires at scale (10,000–20,000+ annually) and uses Greenhouse ATS — used globally for engineering, product, design, and operations hiring.. Focus on role-aligned keywords and measurable outcomes to improve shortlisting.

ATS System Snapshot

ATS setup: Greenhouse ATS — used globally for engineering, product, design, and operations hiring.

Hiring volume: 10,000–20,000+ annually

Software EngineerProduct ManagerData ScientistResearch ScientistUX ResearcherTechnical Program Manager

Keywords Their ATS Looks For

PythonC++Hack/PHPReactPyTorchMachine LearningDistributed SystemsScalabilityA/B TestingGrowthPrivacyIntegrityCross-functional Leadership

Red Flags That Get You Rejected

  • No measurable impact — Meta expects every bullet to show a metric
  • Task-focused language instead of outcome-focused language
  • Missing ML or systems depth for engineering roles
  • No evidence of cross-functional collaboration
  • Generic summary with no alignment to Meta's product bets (AI, Reality Labs, Instagram, WhatsApp)

Tips to Pass Their ATS

  • Frame every bullet around impact: 'Increased X by Y% by doing Z.'
  • Use A/B testing, experimentation, and growth language — Meta is deeply experiment-driven.
  • For ML roles, mention PyTorch, model training at scale, and production deployment.
  • Show cross-team collaboration and influence beyond your immediate team.
  • Align your role history to Meta's product areas (social, messaging, AR/VR, AI) where you have relevant experience.

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FAQs

Meta uses Greenhouse for most roles globally. Resumes are keyword-matched and then reviewed by a recruiter before the technical phone screen.
Yes. Use a clean, single-column, text-based format. Greenhouse parses PDFs well but complex layouts reduce extraction accuracy.
Critical. Meta's hiring culture is deeply data-driven. Every bullet without a measurable outcome is a missed opportunity to differentiate.

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