How safe is your job at Datadog?
Your Engineering job at Datadog in India has a risk score of 30/100 — stable. That's safer than 56% of the 68 tech companies we track.
Employee sentiment looks relatively steady based on the latest news and layoff signals.
Check the detailed report below for the full breakdown.
No Engineering- or India-specific signals for Datadog yet — showing the company-wide outlook.
Current risk score
0 = safer outlook, 100 = higher layoff risk. Small figure = 7-day change.
Latest confirmed layoff
Nothing confirmed in the public records we track, and no employee reports either.
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No confirmed layoff events in last 180 days
No layoffs in last 1 year
+11.5% vs estimates
Recent layoff events
Latest disclosed workforce actions affecting this company.
EPS
Est: $0.58
Revenue
EPS
Est: $0.51
Revenue
How's the vibe in Datadog?
Datadog layoff risk analysis
Datadog risk trend over the last 90 days
Across the last 83 days of scoring, Datadog's layoff risk eased 6 points, moving from 36 on June 6, 2026 to 30 today. It peaked at 39 on July 11, 2026 and bottomed out at 27 on July 30, 2026, a 12-point spread over the period. That leaves Datadog in the low-risk band today, and the size of the swing means the current reading is worth re-checking weekly rather than treating as settled.
Datadog layoff history
No publicly confirmed layoff events at Datadog appear in PinkSlip's tracked window. That is a genuine positive signal, but not proof of safety: WARN notices are only required above certain headcount thresholds and in certain states, and smaller reductions, performance-based exits and quiet hiring freezes rarely surface publicly. For companies in this position the score leans more heavily on earnings, hiring and news signals than on confirmed cuts.
How Datadog compares to other tech employers
Datadog (DDOG) is an Observability company tracked as part of the NASDAQ-100 and currently scores 30 out of 100, where 0 is the safest reading and 100 the riskiest. That is safer than 56% of the 68 tech employers PinkSlip tracks. Over the past week the score held flat, and over the past month it climbed 2 points.
What is driving the Datadog score
Datadog has neither confirmed layoff filings nor recent crowd reports on record, so its score reflects the slower-moving signals: quarterly earnings, hiring activity, news sentiment and the sector's historical pattern. Absence of reports is deliberately not treated as evidence of safety — a quiet company and an unobserved one look identical in public data, so the model never discounts risk for silence alone. At this level the signals do not suggest imminent action, though the score is recomputed every morning and a single filing or earnings miss can move it quickly.
Datadog layoff risk — frequently asked questions
Has Datadog had layoffs recently?
No confirmed layoff events at Datadog have been recorded in the past year. Companies are only required to file public notices above certain thresholds, so smaller or voluntary reductions can go unreported — the score therefore also weighs earnings, hiring and news signals.
How is the Datadog layoff risk score calculated?
PinkSlip blends 10+ public data sources — historical layoff events, quarterly earnings, hiring and news signals, and anonymous crowd reports — into a single 0–100 layoff risk score. Signals are weighted by how predictive they have been historically, and each one decays on a half-life as it ages rather than expiring on a fixed date — so a layoff announced last month weighs roughly twice as much as the same layoff two months earlier, and fades out gradually instead of disappearing overnight.
How often does the Datadog risk score update?
Every day. An automated job re-scrapes the public sources each morning and recomputes every tracked company's score, so the 7-day movement shown above always compares against freshly ingested data. Quarterly earnings refresh on each company's own reporting schedule.
Where does PinkSlip's Datadog layoff data come from?
Across all companies PinkSlip aggregates state WARN notices, layoffs.fyi, quarterly earnings filings, and layoff coverage from major business and tech outlets. Everything is public data — no employer submissions, and no paywalled sources.