Big TechJuly 2026 · 8 min read

FAANG Resume Keywords: What Each Company Actually Looks For

"FAANG resume keywords" is a search that assumes one list works for five companies. It doesn't. Google, Amazon, Meta, Apple, and Netflix read resumes through different lenses — and the words that land at one can fall flat at another.

Why there's no universal FAANG keyword list

The premise behind most "FAANG keywords" advice is that big tech is monolithic. It isn't. Each of these companies has a distinct culture, a distinct set of published values, and screeners trained to look for evidence of them. A keyword that signals fit at Amazon can read as generic at Netflix. The move isn't to memorize one list — it's to speak each company's dialect, backed by quantified, truthful accomplishments.

Google — scale, depth, ambiguity

Google screeners reward technical depth and evidence you operate at scale and navigate ambiguity. Framing that lands: systems that served large user or request volumes, problems with no clear spec that you structured yourself, measurable performance or efficiency gains. Lead with the technical substance and the magnitude.

Amazon — Leadership Principles, ownership, metrics

Amazon is the most explicit of the five: resumes are effectively screened against its Leadership Principles. Ownership, customer obsession, bias for action, and dive deep are the recurring themes, and Amazon expects concrete metrics attached to each. "Owned" is a load-bearing word here in a way it isn't elsewhere. (We go deep on this in the Amazon Leadership Principles resume guide.)

Meta — speed, impact, moving fast

Meta rewards impact and velocity. Screeners look for evidence you shipped things that mattered, quickly, and measured the result. Framing that lands: features launched to large audiences, experiments run and read, outcomes moved. Bias toward impact and pace over process.

Apple — craft, quality, cross-functional collaboration

Apple values craft and the quality of the end result, often built through tight cross-functional work. Framing that lands: attention to detail, polish shipped to customers, and collaboration across design, hardware, and software. Loud self-promotion tends to land worse than evidence of excellent, collaborative execution.

Netflix — judgment, autonomy, high performance

Netflix's culture memo is the keyword list: judgment, selflessness, impact, and the "high performance, high freedom" model. Screeners reward evidence you exercised judgment with autonomy and delivered outsized results without heavy oversight. Frame decisions you owned and the impact they had, not tasks you completed.

How to use this without keyword-stuffing

The mistake is to read this and cram every term onto one resume. Screeners and ATS both punish that. The right approach is to keep your accomplishments true and specific, then reframe them per company: same work, different emphasis and vocabulary depending on who's reading. That per-company reframing is exactly what Calibr automates — it researches the target company's hiring signals and rewrites your real bullets in their language, without inventing a single fact.

Calibrate your resume for a specific FAANG company

Pick Google, Amazon, Meta, Apple, or Netflix, and Calibr reframes your real bullets in that company's language. Free to try — 5 calibrations, no signup.

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