Meta Platforms vs Amazon: which job is safer?

Layoff risk for Engineering roles in India, scored this morning from confirmed layoffs, WARN filings, earnings, hiring and news signals.

Amazon looks slightly safer than Meta Platforms

Amazon scores 54/100 (high risk) against Meta Platforms's 58/100 (high) for Engineering roles in India — a 4-point gap. What sits behind the gap: Meta Platforms has confirmed 10,463 roles across 5 announcements in the past year against 3,923 roles across 5 announcements at Amazon, and 70% of the 5 votes cast at Meta Platforms read nervous or panicked, against 59% of 11 at Amazon. Cutting the other way, Amazon has 2 employee-reported layoffs in the last 30 days against 1 at Meta Platforms.

Meta Platforms logo

Meta Platforms

META • Social Media

58/ 100HIGH
7-day move
-6
Employee reports
1 in 30d
Safer than
1% of 78
Layoffs (1 yr)
5 · 10,463 roles
Employee mood: Panicked5 votes · 70% worried

Most recent confirmed cut: Jul 22, 2026, 1,395 roles.

Full Meta Platforms report
Amazon logo

Amazon

AMZN • E-Commerce & Cloud

Safer
54/ 100HIGH
7-day move
-3
Employee reports
2 in 30d
Safer than
5% of 78
Layoffs (1 yr)
5 · 3,923 roles
Employee mood: Nervous11 votes · 59% worried

Most recent confirmed cut: Jul 22, 2026, 1,110 roles.

Full Amazon report

Compare a different pair

Both companies are scored with the same model, on the same day, for the job family and region you pick.

Meta Platforms vs Amazon, signal by signal

Layoff risk signals for Meta Platforms and Amazon, updated Aug 27, 2026
SignalMeta PlatformsAmazon
Layoff risk score58 / 10054 / 100
Risk bandHIGHHIGH
7-day move-6-3
30-day move-9-10
Confirmed layoffs (1 yr)55
Disclosed roles cut (1 yr)10,4633,923
WARN notices (7 d)01
Layoff headlines (7 d)33
Employee sentimentpanicnervous
Employee-reported layoffs (30 d)12
Employee mood votes (30 d)5 · 70% worried11 · 59% worried

Green marks the safer side of each row. Lower is better on every risk signal except open roles and revenue growth, where more is the healthier reading.

90-day risk trend, side by side

Should you switch from Meta Platforms to Amazon?

Amazon scores 54/100 (high risk) against Meta Platforms's 58/100 (high) for Engineering roles in India — a 4-point gap. What sits behind the gap: Meta Platforms has confirmed 10,463 roles across 5 announcements in the past year against 3,923 roles across 5 announcements at Amazon, and 70% of the 5 votes cast at Meta Platforms read nervous or panicked, against 59% of 11 at Amazon. Cutting the other way, Amazon has 2 employee-reported layoffs in the last 30 days against 1 at Meta Platforms.

Direction matters as much as level. Over the last 30 days Meta Platforms's risk score fell 9 points and Amazon's fell 10 points. That is widening the gap in Amazon's favour, so today's verdict is being reinforced rather than eroded.

On confirmed events, Meta Platforms has 5 confirmed layoffs totalling 10,463 disclosed roles, the latest on Jul 22. Amazon has 5 confirmed layoffs totalling 3,923 disclosed roles, the latest on Jul 22. Confirmed cuts are the heaviest input to the score and they decay on a half-life rather than expiring, so a large recent round keeps weighing on a company for months while an old one fades gradually.

In the last seven days: Meta Platforms shed 6 points: its Jul 22 cut of 1,395 roles decaying out of the window, 36 days on; and layoff coverage down from 13 to 3 headlines. Amazon shed 3 points: its Jul 22 cut of 1,110 roles decaying out of the window, 36 days on; and a WARN notice filed with a state labour department this week.

Employee sentiment, blended from anonymous reports and the data signals, reads panic at Meta Platforms and nervous at Amazon, though on only 3 employee reports between them in the last 30 days. Sentiment moves earlier than confirmed events but is far noisier, so treat it as a leading indicator rather than a score.

One caveat worth stating plainly: this compares employer-level risk, not your risk. Any engineering role on a revenue-critical team at the riskier company can be safer than a cost-centre role at the safer one. Read the score as the weather, not the forecast for your specific seat.

Meta Platforms vs Amazon — frequently asked questions

Is it safer to work at Meta Platforms or Amazon?

On today's data, Amazon. Amazon scores 54/100 (high risk) against Meta Platforms's 58/100 (high) for Engineering roles in India — a 4-point gap. What sits behind the gap: Meta Platforms has confirmed 10,463 roles across 5 announcements in the past year against 3,923 roles across 5 announcements at Amazon, and 70% of the 5 votes cast at Meta Platforms read nervous or panicked, against 59% of 11 at Amazon. Cutting the other way, Amazon has 2 employee-reported layoffs in the last 30 days against 1 at Meta Platforms. Scores are recomputed every morning, so this answer can change week to week.

Should I switch from Meta Platforms to Amazon?

Layoff risk points that way: Amazon currently scores 54/100 against Meta Platforms's 58/100. Risk is only one input though — compensation, the team you would join and whether the role sits close to revenue usually matter more than a 4-point index gap. Check the 30-day trend above: a company improving from a bad score can be a better bet than one deteriorating from a good one.

Which company has had more layoffs, Meta Platforms or Amazon?

At Meta Platforms, PinkSlip has recorded 5 confirmed layoffs totalling 10,463 disclosed roles, the latest on Jul 22. At Amazon: 5 confirmed layoffs totalling 3,923 disclosed roles, the latest on Jul 22. Only cuts that were publicly confirmed or filed as WARN notices are counted, and undisclosed headcounts are excluded from the totals — treat both numbers as a floor.

How does PinkSlip compare layoff risk between two companies?

Both companies are scored through exactly the same model on the same morning, for the same job family (Engineering) and region (India), so the two numbers are directly comparable. The score blends confirmed layoff events, state WARN filings, quarterly earnings and guidance, hiring and open-role trends, layoff news volume and anonymous crowd reports, each weighted by how predictive it has been and decayed on a half-life as it ages.