What Is a FAANG Company?
By Aaron Cao · Updated

FAANG is an acronym for five large American technology companies: Facebook (now Meta), Amazon, Apple, Netflix, and Google (now part of Alphabet). Job seekers use it as shorthand for high-bar, multi-round hiring loops rather than as an official industry category.
What does FAANG actually stand for?
FAANG is built from the first letters of five American technology companies: Facebook (renamed Meta in 2021), Amazon, Apple, Netflix, and Google (reorganized under Alphabet in 2015).
The term started one letter shorter. CNBC host Jim Cramer used FANG on air in 2013 to group four stocks he considered dominant: Facebook, Amazon, Netflix, and Google. Apple was folded in during 2017, and the five-letter version stuck.
It was always an investing label, not a hiring category. No trade body certifies membership, and none of the five describes itself that way in its careers material. The word survives because job seekers needed shorthand for a particular kind of process: several rounds, a structured rubric, and a high rejection rate. Stage-by-stage write-ups for individual employers sit under company interview processes.
Why isn't Microsoft a FAANG company?
Microsoft is absent for a reason that has nothing to do with its size or its interview bar. The acronym was coined around a specific set of high-growth consumer internet stocks, and Microsoft was not one of the names in that thesis. Acronyms rarely get rewritten once they enter common use.
The same answer covers the other companies people expect to see. NVIDIA is outside it for the identical reason, having become one of the world's most valuable companies long after the letters were fixed. Tesla, Oracle, and Salesforce sit outside it too.
Reading the five letters as a ranking of employers gets candidates into trouble. Microsoft runs a multi-round loop with the same kind of structured rubric as the five, so someone who prepares only for "FAANG interviews" is preparing for Microsoft as well without realizing it.
Is FAANG still the right label?
Partly. The letters still work as slang, and recruiters, forum threads, and prep communities keep using them, but two of the five companies no longer match their own initials. Facebook became Meta in 2021, and Google has been a subsidiary of Alphabet since 2015.
Several replacements circulate:
- MAANG swaps Facebook for Meta and keeps the same five companies.
- MAMAA, proposed by Cramer in 2021, is Meta, Amazon, Microsoft, Apple, and Alphabet; it drops Netflix and adds Microsoft.
- Magnificent Seven is a market term for seven large technology stocks, including NVIDIA and Tesla. It describes share prices, not hiring loops.
None of these has displaced FAANG in everyday job-search conversation. Read FAANG, MAANG, and big tech as the same rough idea: a large, well-known technology employer with a long, structured interview process. Whatever label you search for, the preparation underneath is the same, and the mock interview page is where to rehearse it.
What FAANG means for your interview loop
Knowing the acronym does not tell you what to practice, which is the part that actually matters. This section covers what the five loops have in common and where the label stops being useful. The short version: expect a similar shape of process, then prepare for the named company rather than for the letter.
Across large technology employers the pattern repeats. A recruiter screen comes first, then one or two technical screens on a shared editor, then a final stage of several back-to-back rounds mixing coding, system design, and behavioral questions. The differences are real but specific, living in the rubric, the round names, and the weight given to behavioral signals.
Consider a backend engineer preparing for mid-level roles at two of the five. The same two weeks of algorithm practice serves both technical screens, but one employer grades a system-design round he was not told to expect, while the other spends a full round on the depth of his past projects. Reading each published process first would have cost him an hour.
SubcueAI is built for the live conversation rather than for the label. The desktop app on macOS and Windows captures system audio and your microphone; the browser extension's Side Panel captures the meeting tab's audio only, so it hears the interviewer and not you. Neither joins the call as a meeting bot, and neither injects anything into the meeting page. The limits are worth stating plainly: proctored assessments, recorded screens, full-desktop screen sharing, and company-managed laptops are all out of scope, and large employers often use proctored online assessments in early rounds. Tailoring the document these companies screen first is a separate job, handled on the resume builder page.