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Maoz

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See your match score and the roles you fit best at this company — based on your CV.

Based on Trevo job data

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as of 22 Jul

Posting timing

Based on 8 jobs with a real publish stamp from the source — not detection time. 0 posted in the last week, 0 in the last month. Hours in Israel timezone.

By day of week

By hour of day

Peak: Mon around 00:00. Keep your CV ready for it.

Showing: Israel. Click another pill to switch.

Open now

0

Total active openings across all sites

Δ 28-day

-1

Opens minus closes in the last 28 days

Δ 90-day

0

Opens minus closes in the last 90 days

posting velocity //

company intel · ai-generated

Company intel & deep analysis

Updated 47d ago

01

Snapshot

Detailed public information about Maoz is not available in my training data. Specifics such as founding year, founders, headquarters, employee count, funding status, and product description cannot be verified for this company and are therefore omitted.

key people

Key people for this company are being prepared — they will appear here as soon as available.

Interview prep for Maoz

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Based on 16 events over 64 days. Green days had more opens than closes, red vice-versa. The dark line is the 7-day rolling average.

role mix //

Role mix — current vs baseline

Active nowBaseline 90d
  • Other0.0%(-100.0)
    0

The green layer is the current share of active openings by role. The grey dashed layer is the 90-day baseline — gaps between them show where the company is shifting its hiring mix.

seniority pyramid //

Seniority pyramid

Seniority is not exposed by the source for this company.

Distribution of active openings by seniority. The 'unknown' row groups jobs from sources that don't expose seniority.

geography //

Geographic split

—

Active openings by region. Click a row to see jobs in that area.

time on market //

Median

13.4 days

25th pct

6.4 days

75th pct

19.2 days

Based on 8 closed jobs and 0 still open (right-censored). Curve is Kaplan-Meier; band is the 95% CI.Low event count — the median will stabilise after ~42 more closures. Until then treat the values as indicative.

Window: 180 days back. Don't read the mean — the long tail biases it. Median and percentiles are the honest summary.

Republish rate

—

Fewer than 10 closures in the window — not enough to compute.

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